{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would liken you a one o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nmaybe tomorrow it would be\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI am on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost...\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget to check out my other videos!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to a meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nmaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane was almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nAnd that is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's a love necklace.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's eleven o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1021_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1021_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1021_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nStop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1039_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1039_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1039_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\n11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nHow if I can do a long clock?\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like an alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1042_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1042_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1042_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI am on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IEO_SAD_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IEO_SAD_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IEO_SAD_MD.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_WSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_WSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_WSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1037_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1037_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1037_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1087_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1087_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1087_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nmaybe tomorrow it will be cold\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IOM_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IOM_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IOM_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's eleven o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1053_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1053_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1053_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_IEO_DIS_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_IEO_DIS_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_IEO_DIS_MD.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1078_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1078_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1078_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1073_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1073_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1073_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1034_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1034_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1034_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_IEO_ANG_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_IEO_ANG_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_IEO_ANG_MD.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1038_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1038_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1038_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IEO_DIS_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IEO_DIS_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IEO_DIS_LO.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_IWL_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_IWL_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_IWL_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1051_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1051_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1051_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1072_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1072_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1072_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_IEO_HAP_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_IEO_HAP_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_IEO_HAP_MD.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe airplane is almost full!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nthe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1013_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1013_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1013_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_TAI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_TAI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_TAI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1004_WSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1004_WSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1004_WSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_WSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_WSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_WSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1036_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1036_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1036_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_ITH_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_ITH_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_ITH_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1046_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1046_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1046_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_ITS_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_ITS_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_ITS_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1031_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1031_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1031_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1008_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1008_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1008_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_IEO_FEA_MD.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_IEO_FEA_MD.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_IEO_FEA_MD.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1010_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1010_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1010_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThink I have a doctor's appointment?\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1032_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1032_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1032_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1033_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1033_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1033_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1035_DFA_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1035_DFA_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1035_DFA_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget the jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_DFA_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_DFA_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_DFA_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IWW_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IWW_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IWW_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1064_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1064_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1064_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1018_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1018_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1018_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_TSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_TSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_TSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_ITS_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_ITS_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_ITS_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1076_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1076_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1076_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1080_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1080_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1080_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1067_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1067_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1067_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1001_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1001_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1001_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_ITH_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_ITH_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_ITH_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1058_IEO_FEA_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1058_IEO_FEA_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1058_IEO_FEA_HI.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1068_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1068_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1068_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1088_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1088_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1088_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_DFA_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_DFA_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_DFA_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1002_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1002_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1002_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_IEO_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_IEO_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_IEO_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IOM_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IOM_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IOM_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IWW_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IWW_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IWW_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_ITS_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_ITS_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_ITS_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_TIE_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_TIE_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_TIE_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1049_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1049_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1049_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1054_IWW_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1054_IWW_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1054_IWW_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1050_IWW_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1050_IWW_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1050_IWW_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1027_ITS_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1027_ITS_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1027_ITS_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1040_IWW_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1040_IWW_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1040_IWW_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1070_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1070_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1070_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_MTI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_MTI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_MTI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1012_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1012_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1012_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be...\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1083_MTI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1083_MTI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1083_MTI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1075_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1075_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1075_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1086_TSI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1086_TSI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1086_TSI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1089_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1089_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1089_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI wonder what this is about.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1016_IWW_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1016_IWW_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1016_IWW_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1090_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1090_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1090_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_IEO_SAD_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_IEO_SAD_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_IEO_SAD_HI.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_TAI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_TAI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_TAI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1014_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1014_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1014_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1065_IWL_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1065_IWL_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1065_IWL_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1082_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1082_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1082_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1019_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1019_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1019_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_MTI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_MTI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_MTI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1085_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1085_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1085_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1006_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1006_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1006_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_IEO_DIS_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_IEO_DIS_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_IEO_DIS_HI.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1028_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1028_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1028_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1071_IWL_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1071_IWL_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1071_IWL_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nDon't forget a jacket!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1023_IOM_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1023_IOM_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1023_IOM_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1003_DFA_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1003_DFA_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1003_DFA_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_ITH_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_ITH_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_ITH_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1047_ITS_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1047_ITS_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1047_ITS_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nDon't forget a jacket\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1060_DFA_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1060_DFA_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1060_DFA_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1069_TAI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1069_TAI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1069_TAI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_IEO_HAP_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_IEO_HAP_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_IEO_HAP_LO.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1048_IEO_ANG_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1048_IEO_ANG_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1048_IEO_ANG_HI.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_MTI_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_MTI_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_MTI_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_IOM_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_IOM_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_IOM_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1055_TIE_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1055_TIE_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1055_TIE_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1017_ITH_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1017_ITH_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1017_ITH_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1024_IEO_FEA_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1024_IEO_FEA_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1024_IEO_FEA_LO.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1015_TAI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1015_TAI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1015_TAI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1007_WSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1007_WSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1007_WSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1066_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1066_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1066_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1026_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1026_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1026_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1063_IEO_SAD_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1063_IEO_SAD_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1063_IEO_SAD_LO.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1020_TSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1020_TSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1020_TSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_IEO_HAP_HI.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_IEO_HAP_HI.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_IEO_HAP_HI.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1009_TSI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1009_TSI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1009_TSI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1074_TSI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1074_TSI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1074_TSI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1061_MTI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1061_MTI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1061_MTI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1005_TIE_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1005_TIE_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1005_TIE_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1062_TIE_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1062_TIE_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1062_TIE_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I've seen this before.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1057_ITS_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1057_ITS_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1057_ITS_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe airplane is almost full.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1030_TAI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1030_TAI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1030_TAI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1043_IOM_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1043_IOM_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1043_IOM_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI want like a new alarm clock!\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1059_IWL_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1059_IWL_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1059_IWL_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "happy", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1029_WSI_HAP_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1029_WSI_HAP_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1029_WSI_HAP_XX.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nMaybe tomorrow it will be cold.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1044_MTI_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1044_MTI_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1044_MTI_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1045_IWL_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1045_IWL_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1045_IWL_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nThat is exactly what happened\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1081_TIE_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1081_TIE_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1081_TIE_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThat is exactly what happened.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "fear", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1052_TIE_FEA_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1052_TIE_FEA_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1052_TIE_FEA_XX.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nThe airplane is almost full\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1022_TAI_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1022_TAI_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1022_TAI_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nIt's 11 o'clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1091_IEO_ANG_LO.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1091_IEO_ANG_LO.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1091_IEO_ANG_LO.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nI would like a new alarm clock.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1079_IWL_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1079_IWL_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1079_IWL_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI'm on my way to the meeting.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1084_IOM_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1084_IOM_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1084_IOM_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nWe'll stop in a couple of minutes.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "sad", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1041_WSI_SAD_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1041_WSI_SAD_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1041_WSI_SAD_XX.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "disgust", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1077_ITH_DIS_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1077_ITH_DIS_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1077_ITH_DIS_XX.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nI think I have a doctor's appointment.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "neutral", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1056_ITH_NEU_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1056_ITH_NEU_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1056_ITH_NEU_XX.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nThe surface is slick.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1011_TSI_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1011_TSI_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1011_TSI_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<audio>\nDon't forget a jacket.\nThe above is a speech recording along with the transcript from a clinical context. What emotion is the speaker expressing? Answer with one word from the following: anger, disgust, fear, happy, neutral, sad", "answer": "anger", "images": [], "videos": [], "audios": ["cremad_dataset_audio/1025_DFA_ANG_XX.wav"], "dataset": "cremad", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/cremad_dataset_audio/1025_DFA_ANG_XX.pt"], "ext_audio_feats": ["opensmile/cremad_dataset_audio/1025_DFA_ANG_XX.pt"], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nA lot of my biggest tracks didn't have auto-tune. And a lot of people don't know that until they go back and listen to it. It's a factor of, do you want to go back and listen? And see that you're wrong. You're wrong! Wrong! Wrong! Wrong! What's up, guys? I'm your boy T-Pain, and I'm here to pour it up. On L with Thirst Trap. It's going to be crazy. Guys, I've got questions and shots. I can either answer honestly, or I can take a shot. I'm not going to lie to you. Looks like I'm going to be answering some questions. Before we... Before we toast, make sure you check out my new book, Can I Mix You a Drink? It's coming out. And I'm scared as shit. I ain't going to lie to you. Here we go. Okay. Is this water? Okay. What's about my least favorite song I released is... My least favorite song I released is Reverse Cowgirl. Welcome to my rodeo. The reason why is because I wrote that song for a group of artists that was signed to Naviwar Entertainment. Their group name is One Chance. I wrote that song for them. And then my record label came in. It was like, no, this needs to be your song. And I was like, guys, this is not a song for an established artist. And then they were like, no, it needs to be your song. And they released it. Under my name. And then that was the first time I did negative spins. You know when you get spins on the radio and it counts towards your... It's like streams. That was the first time I got negative spins. And it would have done so much for One Chance. But my label came in and was like, no, this needs to be a T-Pain song. And I'm like, no way. No, I might want this. Okay. The one person I'd have to choose as like a drinking partner? Diddy. Diddy is like the best drinking partner of all time. The last time that I had a bunch of Patron, it was like, it was in the studio with Diddy. And Diddy actually kept up with me. It was weird. It was weird. It was weird. It was weird. It was weird. It was weird. It went from my homeboy asking me, do I think I can drink 18 shots of Patron in a row? And then it skipped to, you know how you cut to in a joint? I think it went from my dude asking me, can I drink the Patron? And then it cut to me and Diddy doing pushups in the parking lot of the studio. Yeah, Diddy would be like my drinking partner. Like, no question. Yeah, okay. Oh, y'all thought I was gonna... This is crazy how y'all thought I was gonna... Ugh, what the fuck? Oh, God, that's terrible. The biggest mistake I've made in my career is saying that I was taking a break right after fucking Jay-Z released Death of Auto-Tune. I recovered now by releasing new music and doing my shit and not really giving a fuck about the effects of that song. But right when Jay-Z released Death of Auto-Tune, it seemed like I took a, you know, it seemed like he, quote, unquote, killed my career, but literally right before that, me and my managers were like, dude, we need to fucking take a break. And we did it. And then Jay-Z released Death of Auto-Tune. And then Jay-Z released Death of Auto-Tune. And then Jay-Z released Death of Auto-Tune. And then I recovered from it by being T-Pain again. I mean, I do what I can, you know? I mean, I do what I can, you know? Mm. Mm. Mm. Mm. Mm. Oh, that's really bad. Okay, that's bad. Yeah, that's... All right, all right. All right. Damn. That was really bad. Damn. That was really bad. What's the worst... The worst thing about my home state, Florida, is that we have Florida man. It's just bad. And who's the worst person in Florida? Florida man! Like, it's literally... It's... We... I don't know what the fuck is going on with Florida right now to where there's a Florida man, and we can't control who that person is, and there's either bad thoughts or some shit, that's... Look, we don't have a lot of shit that's bad about Florida. But Florida man is not like a representation of our state. I love Florida. I love Tallahassee. I love everything that we're doing besides Florida man. So bad! What the fuck? What the fuck? What the fuck? What the fuck? What the fuck? What the fuck? What the fuck? What the fuck? Would I rather record? Rerecord one of my tracks without auto-tune? And the thing is, a lot of my biggest tracks didn't have auto-tune, and a lot of people don't know that until they go back and listen to it. So, it's a factor of, do you wanna go back and listen and see that you're wrong? You're wrong! Wrong! Wrong! But yeah, a lot of my tracks back then didn't have autotune. Because I didn't find it until like halfway through my shit, so. Oh. It's like watered down pineapple juice. One artist that should use autotune more often is, I'd like to hear Lizzo. I'd like to hear Lizzo autotuned. Through the moon, oh . Oh . She sells seashells by the seashore. Sea. It's not that she should use it more often, but I would like to hear Lizzo more autotuned. It's not like I think that she doesn't need it. I know she doesn't need it. Lizzo is fucking dope, but I would love to hear an autotuned Lizzo. And I think that's... I think that's... That's pretty cool. Uh-uh. Okay. Yep. There it was. Okay, this is food. My least favorite Lil' Jive record is the Usher one. Oh my god, it's the Usher one. That I've been thinking for a long time. Showed, and I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I'm not gonna lie. I was about to say lines. I gave you before too late. Dang . John, shut up Lil' John. Shut it. No. None of that. I love you, brother, but you knew. You knew. Awe, big Sean. You don't need to tell me what it is. You mean it's gonna hurt? I don't know. I don't know. Nah. Do you think we can take the sw ku? Y'all thought I was gonna, like, not answer a question. I'm transparent as fuck. I don't give a shit about none of these people. Are they supposed to be getting increasingly harder? Oh, okay. You know, you only got, like, five joints left. I do want to smell this. This one has green onions in it. Um, no. What collaboration do I regret the most and why? I did a collaboration with Diddy that was just not... Because it was Diddy. It wasn't Puffy. It wasn't Sean Combs. It was literally Diddy. And I did not get my song off at that point because Diddy was like, nope, don't like it, bam. And I was like, this is how I usually do all my songs. He was like, yep, I don't want to do shit that's regular. Fuck you. He didn't say fuck you. But he was just like, I don't know, I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't want to do shit that's regular. We're not doing nothing that's regular. And I don't want to do anything. And I'm like, well, I usually do, like, regular shit. And he was like, I don't want to do shit that's regular. And kudos to him, because that's how you become successful, I guess. But I kept doing regular shit, and he did not fuck with that. I'm sorry. I'm sorry. I'm sorry. All right, hidden ones, here it is. OK. All right. Brace yourself, motherfucker. Like, what? You ready? Because it's four left. A relationship that I regret. All of them? So I had a bad relationship with the phrase real . Ain't anybody could make me do anything if they said, if you was a real , you'd do this. You know, any time somebody was like, bro, I need $3,000, I'd be like, you think I'm going to give you $3,000? And then they'd say, if you was a real , you'd give me $3,000. And I'd be like, bitch, I don't give a fuck. I'll give you $3,000 right now, motherfucker. Like, it's... Anything I did was considered real if it benefited somebody else. And I didn't, you know, that, You're a young adult, you're a big thin, so I'm trafficking myself have produce all the time. I'm going to invest $30,000 in a teenager, which I took a year off for, $30,000 in one first toll of insanity. And this is all I ever groveled, like, it was like a baby sitting in my car, and I was like, fuck this. I don't care who stole the, it was all me. But is, about $300,000 or $2 super-glorious, this thing takes, like, half of everybody's income. Fuck it. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/y2meta.com - T-Pain Would Love to Hear Lizzo with Autotune and Does Push-Ups with Diddy on Thirst Trap _ ELLE-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/y2meta.com - T-Pain Would Love to Hear Lizzo with Autotune and Does Push-Ups with Diddy on Thirst Trap _ ELLE-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/y2meta.com - T-Pain Would Love to Hear Lizzo with Autotune and Does Push-Ups with Diddy on Thirst Trap _ ELLE-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/y2meta.com - T-Pain Would Love to Hear Lizzo with Autotune and Does Push-Ups with Diddy on Thirst Trap _ ELLE-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHi, I'm 50 Cent and this is the Why It Auto Completed. Is 50 Cent engaged to Miranda Hart? No. We did have a good scene though. She tackled me in a film we shot, Budapest. Is 50 Cent a pimp? Last time I checked, I was a full blown pimp. But you know, I'm reformed. I'm recovering. What is 50 Cent's latest song? My latest song is called Still Think I'm Nothing featuring Jeremiah. Is 50 Cent a nice guy? Absolutely. I love 50 Cent. People can say what they want about him, but he's a good guy. Is 50 Cent taking over BET? Absolutely. Is 50 Cent a billionaire? Absolutely not. On my way there. On my way there, buddy. Still stacking a few chips. Is 50 Cent Jamaican? Nope. I was born in Southside, Jamaica, but I'm American. Is 50 Cent really dead? I'm alive and in the flesh, baby, you see me. Is 50 Cent in Moonlight? Was that the movie? My music might be in it. Did 50 Cent invent vitamin water? No, I didn't invent vitamin water. Did 50 Cent invent mixtapes? No, but I evolved mixtapes. Did 50 Cent make a bet with Kanye West? Yeah, did everybody know I did make a bet with Kanye West? Did 50 Cent retire? No, I be working every day. I'm just doing a little bit of different stuff. You gotta diversify. Did 50 Cent use the box? Yep. I still kick somebody's ass right now. They try me. All you gotta do is try me, because I'll snap and you can get your lawsuit. Like, I'll you up right here. I'm just playing, come on. Does 50 Cent have a... I'm the only child. I'm my mama's only baby. I did, man. They like that song. See how it keep popping up? Did 50 Cent get his back tattooed on me? No, I didn't. I left it. Baked 50 on the back, 50 Southside. Shots, baby. Does 50 Cent know what a grapefruit is? Yeah, I know what a grapefruit is. Oh, his comedian did that. He was just saying some . But you have to be stupid to think that I didn't know what a grapefruit is, right? So what the ? One second. I'm gonna go get my phone. I'm gonna go get my phone. I'm gonna go get my phone. I'm gonna go get my phone. I'm gonna go get my phone. One second. I got a big movie, dinner thieves with Gerard Butler, and I'm getting these phone calls. I'm starting to feel important around here. Where is 50 Cent Africa house? Why you own my business like that? And that's Morocco. Where does 50 Cent get his name? I got off the street. It's a nickname. Where was 50 Cent born? I was born in Jamaica Hospital on the Southside of Jamaica, Queens. Where did 50 Cent die? 50 Cent died in a relationship with this girl, back in Southside Jamaica, Queens. With women, you may die a million deaths. Where was 50 Cent window shopper filmed? Oh, it was filmed in the South of France, Monaco. Did 50 Cent go to college? No, didn't. Fortunately, I didn't have time for college. I was busy. So did 50 Cent knock Mayweather out? Nope. I didn't knock Floyd out. I should've knocked Floyd out. It's kinda hard to hit chap. Even when he's standing right in front of you, you start moving him. With the shoulder block and everything. So, it get hard to hit chap. Did 50 Cent know Notorious B.I.G.? No, I didn't have an opportunity to meet him, but we did do a mashup song with him called The Realist. Did 50 Cent create the show Power? Yes, I did create the show Power. Me and Courtney Kemp collaborated and developed the entire series. Did 50 Cent drop out of high school? I dropped out momentarily, only to return to get my GED. What is 50 Cent's age? I'm currently 31 years old and going backwards like Benjamin Button. I'll be 30 next year. People don't even worry about it. What is 50 Cent's candy shop about? See, this is where you try to get me to talk dirty, but I'm not gonna do that. Candy shop is about enhappying the fruits of nature. Is 50 Cent Haitian? Hell no, I'm not, hell no. I'm sorry, guys. I'm not. What does 50 Cent like in real life? I think he's a good guy. He doesn't have bad intentions unless you do something. That's 50 Cent left-handed. Yep, left-handed. Okay, that was it. It's cool answering you guys' questions and that's it for Why It Odo Complete. Keep it locked right here.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/50 Cent Answers the Web's Most Searched Questions _ WIRED-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/50 Cent Answers the Web's Most Searched Questions _ WIRED-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/50 Cent Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/50 Cent Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWell, you have a lot of followers of your 1806 videos. That's wonderful. And I'll read this quote to you. A commenter even noted that, this is not lecture, this is art. Gosh, okay. Well, if you're going to ask what's my system, I have none. I guess, well, first I'd like students. I want to help. And maybe the key point is to think with them. Not to just say, okay, here it is, listen up. I think through the question all over again as they do. And you have to give time. You can't zip through it. You have to approve. Because this class has to be sort of thinking with you. And that's my thought. I don't know if I achieve it, but I think it's the goal. One of our users on OCW noted that during lectures, you sometimes ask rhetorical questions or maybe feign confusion as a way to... Feign confusion. I'm confused. Are you? Well, no. Well, no, it's probably true. That's maybe part of not rushing through it. But getting this... So I'll pause at the critical point maybe. And you have to give time to see, okay, what's the next step. And, you know, mathematics is beautifully ordered and sensible and logical, and linear algebra is not too difficult. But still, you can't rush. You have to sort of see the idea a few times. First maybe on the board as symbols. But not everybody picks up on symbols. Then you say, what does it mean? And then finally you say why is it true? But you don't say why is it true, give the proof, the very first step. You want to make people think, yeah, it is true. Others have noted that you do this thing where you display your own thinking kind of on the spot as you work through problems. Is there ever a risk in that for you? Oh, yes. And it happens. That I lose the... I lose the thread or I come up to a dead end where I don't know what I'm supposed to do next. But generally, especially in 1806, the basic linear algebra course that many people have watched, there I kind of get it okay. Yeah, I've taught it enough times to have a good chance of getting it right. Is this a strategy that you developed over time? I know lots of people are nervous to do that, to make themselves vulnerable in front of a large lecture class like that. But you're working problems in real time and demonstrating what happens when you hit a dead end. Well, that's okay because students are going to hit dead ends. So it seems to me it's okay for me to get stuck too. And then they see, oh, okay, maybe this is the way to get out of that corner. Yeah. So essentially, I think the thing is I like students. I like math. And putting them together is just the best job in the world. Let's talk about humor for a second. Okay. You've been known to say things like keep things in their Goss-given order. I see. And other like really funny things that people just love. So what's the role of humor in your work? Or in your teaching? Well, maybe it's, which is what I'm saying here, it's maybe the key point is to make it human. You're a person. The student is a person. The book isn't quite a person, but it was written by a person. And to see that it's just like a natural thing to do. Yeah. So one of our users was thinking about how you teach complex material, how you convey it in ways that are comfortable for students. And the user was wondering, how do you know when to go into detail and when not to? I suppose I try to think it through once again. And then you sort of automatically see the word, you recognize what words you need to use and what the steps are. Yeah. If you're not thinking it yourself, then you're probably going too fast and not connecting with the thinking of the class. And how do you connect with the thinking of the class when it's such a large lecture hall and everyone's at a different point in their understanding? That's probably true. And of course you don't know what everybody's thinking in that class. But overall, if you get, if you stay sort of conscious of the class, conscious of where they are, that's I think the thing for any speaker, is to be conscious of the audience and not just of A-B inverse. Yeah. What else would you like to add about teaching 1806 linear algebra? Well, with 1806, of course, I'm just so recently open courseware, which I think was just such a great idea. Great idea for MIT, great idea for faculty. So they did a count of the number of viewers in 1806, and it was 10 million, which was like, whew, I never expected. But I do get nice, really nice messages from all over the world. And I reply to them as far as I can. Sometimes they'll ask, what's the good way to learn math? And I don't know if I have an answer for that. But anyway, I try to be encouraging. So, yeah, it's been wonderful. Yeah, just having the video lectures available, makes, allows everybody to be in the class. Yeah. So thank you all for joining the class. Thank you.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/An Interview with Gilbert Strang on Teaching Linear Algebra.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/An Interview with Gilbert Strang on Teaching Linear Algebra.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/An Interview with Gilbert Strang on Teaching Linear Algebra.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/An Interview with Gilbert Strang on Teaching Linear Algebra.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nIf you could describe your energy as a day, what kind of day would it be? I think it's definitely spring. It's 73 degrees. I love that degree. Fahrenheit, by the way. A little gloomy, but the sun comes out a little later. It's definitely spring in that type of day. I got paid today. I'm a good day. Oh, hey. Didn't see you there. Hello, GQ. My name is Steve Lacey, and this is my essentials. So this here is one of my favorites. This is Steve Lacey. As you can see there, a little custom joint. And this is what keeps me sane. It's one of my favorite colors. It looks very old, and it has like 65 hardware. I'm nerding out right now, I'm sorry. But it has the neck of like the newer models, which I love. So it plays like butter. All right, that's enough. It's like my birthday and my signature. This is me as a guitar. May 23rd. Gemini. Every new guitar player, you know, wants a Fender strap, but they're kind of expensive. I started off with the fake one, which is the Squier strap. So I have my own custom one. As you know, it's kind of nice. What would you do if you lost this guitar? Well, I have several others, so I wouldn't be too pissed. These are Prada loafers. These shoes have been to the moon and back. They were about $850 or something. $850? $850? Something like that. That's the price you gotta pay for a good loafer. It's just the perfect loafer. The thickness of this sole here and how it gets thinner to go to the heel. Oh, it's just amazing. The roundness and the squareness at the same time, but not too square nor round. I could go on for days about these shoes. As you can see, I've beat these to the f***ing ground. Look at that scrape. I guess maybe when I was younger, I've been like, oh, I got a stain. Now I'm like, give me all the dirt. Give me all the scrapes. I love it. Look at that. Some people buy shoes like this. I really did this. I just wear them everywhere. I go jogging. I go, I'm just kidding. I'm just imagining. I wore these to the airport. I wear them every day with every outfit, actually. I wore these on my album cover. Maybe one day I'll like auction them or they'll be like in a museum. These will be very famous. Look at that. Let me know where you can find a cheaper one that's as good as this. I'll buy all of them. I mean, not like Nike comfortable, but like to wear every day is like sustainable, yeah. Oh, it's like mousse. Chocolate mousse. This is hand-sewn. This is hand sanitizer from that like little bag you get when you get flown out. A little like Delta One bag. You know when you find first class? Next time you travel for somebody, tell them you only can go if it's first class. You get a bag. You get hand sanitizer, like some socks, a little eye thing, a little toothbrush. They take care of you. You touch a lot of things and things be dirty. You might be eating some chips and you might want to, you know, get the laps. And it's all the germs. It's like right there. But with this, you can do that freely, happily. You touch doorknobs, shopping carts, bathroom doors, all kinds of things. You need this. Look at me. That's how germy it is. I've just been touching clothes. So there's bad bacteria and good bacteria that's on your hands. If you use this too often, you'll wash off all the bacteria, including the good stuff. So you can't use it often. Class dismissed. Wash your hands. This is custom. Apollo 21. AirPods. Thanks, Apple. Earbuds without a wire. It's kind of nice. They're really good for like just a random walk out. This specific pair is from my album listening party where it was a silent disco. I had like 50 pair for everyone. Everyone was like listening on their own and dancing in their own little zone. It was really nice. You couldn't really talk. I think it could be revolutionary once they figure out the latency problem. Because you can't make beats with wireless earphones. It's a delay. If I'm on a plane and I have on like Bluetooth earphones and I'm like, oh, I want to make a beat on my iPad right now. I would have to pull out earphones with wires because I'll press, you know, a key, right? And it will come maybe like a couple milliseconds after rather than like, you know, real time. So I think once they figure out that, then it could be revolutionary. But right now it's just cute. If I'm dancing, it has to be like over 120 because I think I look hot doing just a nice hip hop. I'm a rapper boy. This is where I talk about cleanliness. This is a Tide stick. As you can see, I've had it for a while. It's a good thing to carry around. And especially speaking to you, GQ, we're talking about clothes here. Clothes. Clothes get dirty. It's really the f***ing tomato sauce. That goddamn tomato sauce. I think Tide sticks are really just for tomato sauce. I think that's really the only stain that I get often. It's f***ing tomato sauce. Spaghetti. I went to Rome for the first time. I was like, I'm going to Rome. I'm going to Rome. I'm going to Rome. I'm going to Rome. I'm going to Rome. I'm going to Rome. I'm going to Rome. I went to Rome for the first time and had spaghetti. And I have to say, that was my favorite place to eat spaghetti. I'm talking like, hotel room service. Better than any spaghetti I ever had. Like, simple spaghetti. Like, no bolognese. Just pure noodles, tomato sauce. Hotel room service. How? In motherf***ing Rome. You know when you're traveling, right? And you're in that section of like the small little space of like a, like a restaurant. And you're like, that's a lot to do. Right? I'm like, I don't know. I don't know. I'm like, I don't know. stuff to get like, what do I need? Yeah, I see the Tide Stick and I'm like, oh shit, that can be pretty handy. What do you know? I mean, I don't even think there's any left to be quite honest with you. Yeah, it's dried up. I oughta use it. It's done. This is Kiehl's Nint lip balm. I was in there getting some face washing. I realized I didn't have any Chapstick on me. Gonna go ahead and use this right now, show you how essential it is in real time. My lips be gonna ashy sometimes. I can't be walking around like that. That's important. I can't be caught slipping, you know? It's okay. Could be better. Cause it's all I have right now. So it's essential until I find the next best one. Sometimes I forget and I'm like on stage and I feel like my lips are ashy the whole time. I can just feel the dryness. I'm on stage and playing guitar. I gotta hold it down. I can't just like run off and go get my Chapstick. It's a hard place to be in. I live a hard life. No, I make sure this stays in my pocket when I'm performing. All right, I just apply like a whole bunch before I go. Oh yes, I love this one. This is a good one. I don't know how long ago these came out, but the Thunderbolt chargers. I encourage you if you're an Apple phone user, get you one of these fast. Sometimes I'll just be roaming the mall. Apple store is always a good one to go into. Just fun. This looks great. I needed a phone charger. I saw this one and I was like, I'll try that out. Cause I know USB-C is faster. Tried it out and it's a great charge. Amazing charge. I just roam mall. Mall roaming is like a walk in New York. A big mall, you throw earphones in. It's just a fun time. The mall is great. Oh shit. Okay, don't reveal my location actually. I will. The block will be hot and I can't go there anymore. You go to the food court, you just walk around. And it kind of reminds me of like eighth grade, like middle school. That was the hangout, you know? I still stay true to that like mall lifestyle. Though I don't shop there. I shop at one store actually, Uniqlo all the time. And Kiehl's. It's a USB-C plug. It's not the regular USB. I think it's like, you can go three times faster. It's beautiful. You can go from like 20% to 80 in like 20 minutes. Matter of fact, here, you can test it right now. This is a Balenciaga bag that says, you are the world. I just like the size of it and I think it's very cute. And a nice message for someone to see, even me sometimes. You are the world. It's funny but kind of deep at the same time if you want it to be. It's however you interpret it really. It's like I'm running errands, you know? Just like on the side right here. But if I'm like at a party, I want to secure it a little more. So I'll do this. Even though this looks more annoying, I just like to do that for security. This is how I like to carry it. It's just the perfect size for like your day bag and I can fit a lot of things. And my wallet fits right here. It's cute. Yeah, I love Balenciaga. A inhaler, albuterol. Well, I mean, I'd die without it, I think. I think it's only like for certain things I'm doing too much. If I drink, I think I'm kind of allergic to alcohol. If I have like a cup of wine, by the end of it I'm like . They're all red. So that's when I need this. Someone told me it's Asian flush because I'm half Filipino. Does that happen to you or no? So maybe someone lied to me and I'm just like allergic to alcohol. Why are you laughing at me? I'm not a joke. If you noticed, I do really well with like letting things go. I've lost some shit. When you own things you can't lose, it's great. If you catch my drift. Thank you so much for watching. This has been my essentials. I'm joking. Oh shit, I'm sorry. I'm joking. Oh shit, I'm sorry.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Steve Lacy Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Steve Lacy Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Steve Lacy Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Steve Lacy Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nDwi'n Saiful Islam, Ddysgwyr Cymdeithasol Cymdeithasol ym Mhrifysgol Baeth. Cefais i'r ffordd o'r dde, yn Pakistan, a chyfarwyddwyd i'r DU yn 1964 pan roedd fy mab wedi'i ddysgu yma i'r Cymru a chyflawniwyd yn Crouchend, Llywodraeth Llywodraeth. Fe wnes i fy ysgol i'r ymgyrch cymhrydol o'r bobl, sef Stationers. Roeddwn i'n hoffi'r chemistriaeth ac fe wnes i fy ysgol i fy ymchwil yn y Llywodraeth Cymru, Llywodraeth Coedge, Llywodraeth Llywodraeth. Ac wedyn ar ôl hynny, fe wnes i fy ymchwil yn y PhD, yn edrych ar stwctriau a phropiethaf o ddwylydau crystallin, ond yn defnyddio dechnolegau modelu cymdeithasol. Gallai'r ymddangosion fod yn ddiffygol, yn ymchwil a'r enw i. Yn ymwneud â fy ymchwil, rwy'n chemist sydd ddim yn cysu coed lab gwydr. Rwy'n gwneud modelu cymdeithasol gan ddefnyddio cymdeithasau cymdeithasol hynny o ran edrych ar arian cymhleth. Yn ymwneud â fy enw, Saiful Islam, mae'r enw'n amlwg yn argyfwng rhyw fath o ddyniaeth. Fodd bynnag, roeddwn i wedi tyfu i fy ymwneud â ddyniaeth Cymru, fe wnes i, heb y byddai gen i unrhyw ffaith, ddim yn gwybod, ond fe wnes i fod yn fwy ateist ac yn ddim yn ddynol. Ac rwy'n credu bod hynny wir yn ymwneud â fy ffasyniad gyda'r gwydr a'r ffyrdd gwydr a'r ffordd gwydr. Ac yn bosibl oherwydd nad oedd fy mab yn ddynol yn fwy, felly nid oedd hi wedi'i ddynu arna i. Ac rwy'n teimlo bod plant arfer gael y lle i ymchwil, eu hwynebu eu hunain neu ddim yn ymwynebu o gwbl. Rwy'n teimlo'n ddiddorol, ac yn ffodus iawn, rwy'n brydoliwr yn brifysgol ar brifysgol mawr. Ac mae'n rhaid i mi ddweud, drwy fy nhyfforddiad academaidd, nad oeddwn i wedi teimlo unrhyw ffyrdd o ran fy nhyfforddiad o ran fy nhyfforddiad yn ymwneud â'r amgylchedd y brifysgol, a thrwy'r amgylchedd academaidd. Mae'n bob amser wedi bod yn gilydd a'n cefnogol iawn, fel y ddylai fod. Yn ymgysylltu, roedd ystod y 70au yn ystod y 70au pan oeddwn i'n hyfforddwr, lle doedd dim ond yn hawdd bod yn hyfforddwr Cymru ifanc ifanc ifanc yng Nghymru. Roedd yna amstod o ddynu pach, ac fe wnes i gael cael fy llawr gan ddynion llawr am ddwy o amser hefyd. Ac unwaith yn bennaf gyda fy mab ifanc, sy'n parhau gyda mi heddiw, fod yna'r ffyrdd o ddynion llawr, ac mae'r dyniaeth yn dal i fyw yno. Yn anffodus, mae'n fanylion, ond mae'n bwysig bod yna ryw fath o gynydd neofascism yn rhan o Ewrop nawr, ond rwy'n credu yw, yn Britain a'r amgylchedd academaidd, nid yw hynny'n ymddangos. Rwy'n credu ei fod wedi'i ddatblygu yn dda, mai un o'r heriau mwyaf y diwethaf yw'r heriau ariannol, datblygu ariannol, ariannol gynhyrchus. Rwy'n ffodus y byddaf yn gweithio mewn ardal materion ariannol. Rydym yn edrych ar gynlluniau newydd sy'n gallu cael eu defnyddio mewn celfiau gwyl neu bateriaid lythiom o ariannol. Gall gwelliaid gweithio yn carau neu ffyrdd i ddi-dduw emisiynau CO2, ac mae bateriaid lythiom o ariannol yn gallu cael eu defnyddio mewn gweithredu eledig neu weithredu hybroeledig, eto, i geisio di-duw emisiynau CO2. Mae fy ymchwil yn edrych ar ariannol newydd ariannol sy'n gallu cael eu defnyddio mewn y ddau. Rydyn ni'n ceisio deall mwy am eu rhwystrau structuraidd a'u nodiadau gweithredu o fewn y materion newydd hynny, gan ddefnyddio deithniadau model cyfrifiadwy iawn. Mae'r nodiadau pwysig o fewn rhai o'r materion hyn yn ymwneud â'r gallu i'r ariannol symud yn gyflym iawn drwy'r latws crystall. Mae'n cael ei enwio'n nodiad ariannol. Ond mae'n anodd iawn i'w ddysgu drwy'r profiad ei hun. Felly, drwy ddefnyddio model cyfrifiadwy, gallwn ni geisio mapu, gan gael ymddangos fel microscopi wirtual, mapu sut mae'r ariannol yn symud o fewn y latws crystall. Ac mae'r nodiadau hynny'n bwysig iawn i ddeall y ffynciau o reolwyr bater neu gaelol. Oherwydd y gwaith ymchwil a ydw i wedi ei ddisgrifio, rwy'n credu mai'n amser hynod ddiddorol i fod yn gwydnogwr yn gyffredinol a chemist yn benodol, oherwydd mae angen i ni ddysgu chemistriaeth i ddatblygu newydd dechnolegau gwyrdd. Mae agwedd arall o'r cyfnod gwydnogol hyfryd, yw ei fod yn agored i bawb. Ac os ydych chi'n ddiddorol iawn a'n ymwneud â'r cyfnod, gallwch chi ddod yn ymwneud â'r cyfnod. Ac fe dwi'n dweud y bydd y syniad o fwander a'r gwedd yn cael ei gyflawni drwy astudio cyfnod. Diolch yn fawr iawn am wylio'r fideo.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Saiful Islam's story.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Saiful Islam's story.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Inspiring scientists Saiful Islam's story.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Inspiring scientists Saiful Islam's story.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWhat is Russell Crowe? What is Russell Crowe? Excuse me, I'm just... It's going to take some time for me to think about it. Hello, I'm Russell Crowe and today I'm taking the Wired Autocomplete interview. Who is Russell Crowe? I've been wondering that a long time. Who does Russell Crowe look like? Well, I've got good authority that Russell Crowe looks like Mrs Crowe's son. Very, very... I mean, so close. It's a little crazy actually. Who Russell Crowe knitting? I know what this refers to. For many, many years people in the knitting fraternity have tried to enjoin me in their soft bosom. And it comes from a photo shoot I did in Los Angeles in the early 90s. It was kind of a tedious shoot. And the dude had taken forever setting up, you know, as they do. And then it was kind of like, what are we going to do? We'd take a shot sitting over there, a shot sitting over there. And at one point there was a ball of wool and some knitting needles. So I did half a dozen, a dozen shots like that. And they went out in that particular magazine and they've been used over and over. Even though I'm kind of holding the knitting needles incorrectly and all that sort of stuff, people like to make the association that I'm a knitter. So it's been in continuous use now for some, you know, close on 30 years as a concept. And here is the grand irony. When I was a child, I did knit. My mother showed me this skill. So that's how I know I was using the needles incorrectly. What is Russell Crowe doing now? Well, currently I'm doing this interview, but in a broader sense, in isolation on a farm in northern New South Wales. What am I doing now? I'm getting up really early in the morning. I start by doing stuff on email. And then when the sun's up, we've been going out. And I'm going to the gym. And digging up some fields, fertilizing them and reseeding them. But I'm writing songs and I'm writing scripts. And it seems that I've actually been practicing self-isolation for the best part of the last 30 years. And I'm quite good at it. What band was Russell Crowe in? It's a long answer to this because my first record came out in 1981. It came out in 82. I was still a teenager. I had a performance pseudonym. But after that, let's see, go back to the first band, sort of Profile. And then I was in a band by the name of that pseudonym. Then I was in a band called Roman Antics. And then for 20-something years, I was in a band called 30-Old Footed Grunts. Then after 30-Old Footed Grunts disbanded in 2003, I was in a band called The Ordinary Fear of God. I've been collaborating with a fellow called Alan Doyle on songwriting since 2004. Our current project is called IGP, Indoor Garden Party. And it refers to in Newfoundland, which is where Alan comes from, they have kitchen parties. And it's an incredible cultural experience. A guitar will be brought out and it will be basically passed around the room like a talking stick. And every single person in the room has a song. It's kind of like a piss take for me on the weather pattern in Newfoundland, you know, because Alan at one point in time said to me that we also have garden parties. And I'm looking at the weather in Newfoundland and I thought it would be better to have that garden party inside. Anyway, what did I win an Oscar for? I won the Oscar for the feature film Gladiator directed by Ridley Scott. I think the ceremony was 2001, but it's the 2000 Oscar. My zodiac sign. My zodiac sign is Aries, but in Chinese astrology, my sign is a dragon. And if you put the two together, my primal astrological sign is a Tyrannosaurus Rex. How about that? Now, what car do I drive? Currently, my car is a Mercedes S600 V12. Bit of a banger. Know what I'm saying? Yeah. About 560, 7-odd British horsepower at my disposal to travel at 50 kilometers an hour. Where am I from? I was born in New Zealand. The city of Wellington. But my parents migrated to Australia when I was four years old in 1968. And I've lived the majority of my life in Australia since then, except for a seven-year period where my family returned to New Zealand when I was a teenager. Where's my Oscar? Reminds me of a funny story that Al Pacino told me. He'd won the Oscar for The Scent of a Woman, wasn't it? And at the Dorothy Chandler Pavilion, you get into an elevator and go from the stage level up to where the press gallery is. And so people are packed into this elevator, the sardines, and Al just looks down and he realizes that he's carrying his award in his hand, just naturally at his side, but the head of the Oscar has actually slipped between the cheeks and the diaphanous dress of the young lady who's standing in front of him. And so Al, thinking he was doing the right thing, leant forward and whispered in her ear, that's not me, that's my Oscar. Al can tell a good story, I'll tell you that. Is Russell Crowe British? Well, no, born in New Zealand, live in Australia, but do have Welsh, Scottish, and English and Irish in the background, but also Norwegian, Italian, and Maori. Is Russell Crowe a Leeds United fan? Yes, I am. The English soccer team that I follow is Leeds United. Currently not in the premiership, haven't been for quite some time, and that is a sensitive subject. Am I left-handed? No, I am not left-handed. Am I a nice guy? Probably not. Am I Russell Crowe related to Sheryl Crowe? No, and that should be obvious with the spelling, but also I saw Sheryl Crowe in the foyer of a hotel, and people had been making that joke for so long, I just went up to her and said, hi, we're supposed to be married, and thinking I was being charming and, you know. Apparently I wasn't, didn't go down very well. How did Russell Crowe become Roger Ailes? Substantial amount of prosthetic makeup, a very long and arduous thing to face every workday. The fellow that did that makeup, Adrien Moreau, is a fantastic artist. So oddly you would talk about that as being a torturous experience and really the thought of it was, and doing it every day was, but he just made it very cool, and we got through it very easily. How old was Russell Crowe in Gladiator? 20 years ago, today, not today, 20 years ago this year, Gladiator came out, we shot it in 1999, so I was 35 when we shot it, and 36 when it came out. What is Russell Crowe? What is Russell Crowe? Excuse me, I'm just... It's going to take some time for me to think about. I'll text you an answer or something, OK? What colour are my eyes? Well, they're very light and they take light very well. Normally they're actually sort of a greeny, hazely sort of thing, but in many movies they'll appear to be blue. It depends on what I'm wearing. And there has been times when I've been at customs travelling internationally where the guy's looking at my face and looking at what it says on my face, and there's a piece of paper in it. Two things didn't match. What school did Russell Crowe go to? Well, I went to many. I ended up going to, I think, five primary schools and three high schools, mainly just because my parents moved around a lot. What is my height? I'm what we call in Australia a Collingwood six-footer. I'm 5 foot 11 and a half and a bit, so just shy of six foot, a Collingwood six-footer. That refers to an Australian rules football team called Collingwood, and they played the Super Bowl of that particular sport many, many times without winning it. So possibly you would call it a Buffalo Bills six-footer in America. Are Russell Crowe and Ryan Gosling friends? Well, listen, I tell you what, I haven't seen him for ages, but that's the natural cycle of time with actors. But that kid, and I shouldn't really call him a kid, but that guy, what an actor. His natural innate timing is just breathtaking when you're performing with him. I'm really good at keeping my together on camera. It doesn't matter if the place is burning down. I'll still keep playing the character, and that's sort of been a signature part of how I do my job, you know? Ryan Gosling can make me laugh in a heartbeat. Whatever character I'm trying to do, he can just, like a laser, pump through it and just and it just sends me off. And there's lots of footage of behind the scenes from Nice Guys, you know, with the director calling out, saying, please, just let him say the dialogue this time, because I'm just pissing myself with these ad libs that he comes up with. So, you know, our connection is really easy. We get on, we talk, and I definitely consider him a mate. If he ever, you know, called me or whatever, needed something, you know, totally. And I'd love to do a second film with him. So, great actor, good bloke, Ryan Gosling. My latest movie that's coming out on July 1st is called Unhinged. Before that, it was a thing on Showtime called The Bunch. It's the loudest voice, which you should see if you haven't. And Unhinged, you should definitely see. Do I have siblings? I have one older brother. His name is Terry. Can I sing? My duties to the law! No. Can I ice skate? I spent many, many months on the skill of ice skating for a movie called Mystery Alaska back in 1998. And I reached the heady heights of a skill and achievement of that of your average Canadian seven-year-old, though I would never, ever challenge one on the ice. Did I do my own stunts in Gladiator? Pretty much. That was back when I had tendons. Oh, the good old days. Yeah, I mean, there's, you know, part of the function of a movie, there's always going to be people who are there to do those sort of things for you. But when you're working with a director like Ridley, you've got to give them 100% shot. You know, when you get a bit older and your body starts to remind you of all those takes when you didn't quite get it right, and I'm not blinging, I'm 56, it is what it is, I've used my body in very extreme ways to make my living and enhappy my life. And you do come to a point where you pay for that. But no regrets in that regard at all. That's the end of our time for today, and I hope you can find something special to do for the rest of your day. Goodbye for now.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Russell Crowe Answers the Web's Most Searched Questions _ WIRED-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Russell Crowe Answers the Web's Most Searched Questions _ WIRED-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Russell Crowe Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Russell Crowe Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWhat the research tells us is that if you're holding a warm liquid, you will think of me as a warmer person. I've actually heated the cups with coffee or tea, and I would actually hand that to the person so that they would at least be holding a warm liquid and hopefully think of me as a warmer person. My name is Mark Fallon. I'm a former NCIS special agent. After the attacks of September 11th, I was the chief investigator for the Al-Qaeda terrorist network for trials before military commission, and I have overseen thousands of interrogations. Today, we're going to be breaking down interrogation scenes in TV and film. This scene is from Knives Out. Harlan's nurse, she was at the party in a professional capacity. Marta? I guess. Harlan hired her to be around to take care of whatever medical needs popped up. But really, she's like part of the family. Okay. Daniel Craig does a nice job of strategic interrogation, practicing what's known in the research is the strategic use of evidence. Clearly, he has done his research and planning, and then he is strategically utilizing different pieces of information in what we call the funnel approach, where you start broad, and then you narrow down the information that you're giving out to see what the responses are. And we utilize a sharp technique. You never let the person you're talking to know what's important, and that way they don't know what to hide. Or resist telling you. Are you baiting me, detective? You know he doesn't. And if you think I am dumb enough to be baited into talking family business... Just because a person resists answering a question doesn't mean that they're guilty of a crime. They may be withholding information, but it may be for a reason totally unrelated to the case you're investigating. Harlan never allowed any adaptations of his books. Hated the idea. No. Yeah. Yeah. Drives Walt nuts. Because that's where the real money is. Daniel Craig does a nice job articulating his questions so that he is doing more listening than he is asking questions. In an interrogation, I think it's critical to kind of take a step back. The technique that I instruct, the SMART technique, the Strategic Methods of Assessing Reliability and Truth, involves a first interview followed by an assessment, and then another interview to explore those gaps that you've now determined based on your analysis. And that's what we saw in Knives Out. The LeBlanc character is someone that I would be happy to work with in the field. Of course, I don't think I'd have all those knives out in an interview room, but good for the movie. This next scene is from Brooklyn Nine-Nine. What are you smiling about? How uncomfortable this guy is. Jacked up the thermostat, got the table all sticky, made one of the chair legs too short. The wobbly chair is another one of those old urban legends. When I came on the job in the 70s, they talked about trying to make the person interviewed so short, so uncomfortable, or off balance. There's actually no validity whatsoever to it. What you saw was some negative priming. Jake Peralta appeared to try to make the witness uncomfortable. And that's the exact opposite thing that you want to do. You want the person to relax. You want to diminish resistance, not increase resistance. What you want him to do is what we call liking, because cooperation is volitional. You want the person to want to help you along, not make him uncomfortable. And that's what you want to do. You want to make sure that the person is comfortable in the interview process. What the research now tells us is that the standard interrogation room that you normally see on television and that you actually see in many police departments is the exact opposite of what you would like. And the more progressive departments now have what many call a soft room, which has nice, comfortable furniture in it, may have windows in it to open up. That would be a more conducive environment to get information from somebody. I have a great sense of humor, have a lot of enthusiasm, which are things that I would like to have on my team, but I don't know about his police work. This scene is from The Dark Knight. I'm going to need a cup of coffee. Ah, the good cop, bad cop routine? Not exactly. Slamming someone's head into a table is the work of scriptwriters. In the real world, you would be prosecuted for that type of behavior. See, I'm not a monster. I'm just ahead of the curve. This wasn't an interrogation. This was just a beating. The Batman movies are great entertainment, but they don't mimic reality whatsoever. The goal of any interview or interrogation is to elicit information. In the beginning of this scene, Commissioner Gordon actually had the suspect talking. And that's what yields the best evidence and the best intelligence. You have two ears and one mouth. You should be listening at least twice as much as you're talking. Where is he? What's the time? What difference does that make? Well, depending on the time, he may be in one spot or several. Clearly, this was a psychotic episode going on, but you could still elicit information from even a suspect like that. You have some challenges in there because any information you get would likely be deemed unreliable. However, it is still information. Where are they? What occurred here was ineffective managing of behavior. So when you have someone who is like that, you don't want to escalate because the behavior will escalate. The key is to de-escalate so that you get information out of the person. Commissioner Gordon would not be in police work today. Having someone come in like Batman, you will not get cooperation from that. You may get compliance, but cooperation is volitional. And there's just no way that you're going to get that when you're abusing somebody. This next scene is from the last movie. The last movie is called The Wire. Still can feel my heart beat. Pumps? Yeah. We'll start with an easy one. Is your name, in fact, Deshaun Fredericks? Yeah. True. The scene here with the copier is one of these urban legends that's been around for decades. What Detective Bunk does here is jeopardizes his investigation. If that suspect did give information, he ruled it admissible in a court of law. And it would really embarrass the department. And did you and Mon-El shoot your boy Pookie down on Carey Street just like Mon-El said you did? No, no. Bye. Currently, most if not all states allow law enforcement officers to lie in interrogations. There has been a push recently to make that illegal. Some states have made it illegal for juveniles because it has resulted in false confessions and erroneous convictions. So Detective Bunk is practicing some things that we are moving away from. I used to teach because I was taught that an innocent person would not confess to a crime they didn't commit. And that's absolutely inaccurate. One quarter to one third of the people who've been exonerated by the physical sciences have falsely confessed to crimes they did not commit. And so that's why we need to move away from those approaches. That you saw with Detective Bunk. This scene is from The Good Shepherd. Tell me your name! Tell me your name! Come on, come on, get up, get up! Tell me your name. Tell me your name! There it is! I think this is an excellent example of the EIT program. Enhanced Interrogation Techniques in which the CIA tortured prisoners. It was part of the CIA MK-ULTRA program and Kubark Counterintelligence Manual has these practices in it. What you saw there is the manner in which the CIA was torturing prisoners to extract information that gravitated to Guantanamo and Abu Ghraib. They are illegal, immoral, ineffective and counterproductive. And what you saw in that tape are war crimes. Sir, this is my Surgic Acid, diethylamide. It's called LSD. And we've had some very favorable results as a truth serum. The CIA went and elicited assistance from the most prominent psychologists and psychiatrists in the world and started experimenting with different types of drugs with the thought that they could elicit intelligence from that. And each and every time the CIA has experimented in this way it has resulted in some type of prisoner or detainee death. There's no truth serum. Sonium pentothal doesn't work. It will get people to talk. You just won't be able to understand or there won't be any coherence to it. What happens is what's called the signal-to-noise ratio. Even if they told you something that was accurate and liable it would get mixed up and garbled with a bunch of other inaccurate and unreliable information and it would be difficult to tell the difference. I think The Good Shepherd is an excellent movie to watch because it does accurately depict some actions of the CIA and you can see the results that occur. It's just not an excellent movie about obtaining reliable information. This scene is from the Watchmen TV series. How long have you lived in Tulsa? Five years. Six. I want six. What did you have for breakfast this morning? Cereal, I think. If I defecated on the American flag, how would that make you feel? Confused. Nothing in that replicates anything close to reality. Not just fiction. It was science fiction. First of all, it wasn't an interrogation. It was a barrage of information. It was a barding with some sounds and some different lights. Actually not uncommon in some of the EIT program where they actually played music, loud music, and had people in periods of time. But in the case of darkness or light, the problem is none of that elicits accurate reliable information. It's just meant to subject the person to some type of duress. Nothing in that scene would be conducive to an interview. It's an abomination as far as an interrogation professional goes. Are you a member of or do you associate with members of the white supremacist organization known as the Seventh Cavalry? No. He knows. You sure? I styled it on all the raw sharks. Yeah. I'm sure. Generally, people think that liars might fidget more. There's no science whatsoever behind what's called microexpressions, where people are trying to look and detect cues about deception. The best method of detecting deception is a known or checkable fact. And that's why you investigate, not just interrogate. The odds of somebody trying to detect deception based on visible cues is about a hundred percent. The problem is that law enforcement officers think they're better at it than the general public. It's just slightly better than chance. This scene is from Basic Instinct. Are your attorneys going to join us? Ms. Trammell has waived her rights to an attorney. Did I miss something? I told them that you wouldn't want an attorney present. No. Why have you waived your rights to an attorney, Ms. Trammell? Why did you think I wouldn't want one? I told them you wouldn't want to hide. I have nothing to hide. In the scene where Sharon Stone waives her right to an attorney is not uncommon, particularly with the higher ranks of people that I've had to interrogate, because they have a feeling of superiority. So that's what you use to your advantage. If a person has a more dominant personality, the better roles they'd be more submissive, because you elicit more information, and vice versa. You know, you like playing games, don't you? I have a degree in psychology. It goes with the turf. The scene from Basic Instinct has several red flags. You would never want to have weapons displayed. That could be used by a defense attorney to say there was some type of coercion with the display of weapons. If I were in charge, it would be a much smaller interview team. It would be me and a note-taker. There may be a team that's supporting the interrogation, but usually on a monitor or behind a mirror, having a team of goons sitting around a semicircle of a beautiful woman is just totally unrealistic. You want to develop a rapport, and that's not a team sport. Would you like a cigarette, Nick? You two know each other? No. No. If I was the lead investigator, and there was a parent connection between Sharon Stone and Michael Douglas, there would be a break called. We would go outside and try to get to the bottom of what this apparent relationship was, and I don't think that I would have Michael Douglas back in the interview room with me on this particular case. This next scene is from When They See Us. Antron McCray and Raymond Santana said they saw you rape the lady. I never saw it. I never saw it. No lady. Who are you talking about? The lady in the park! I didn't see a lady or hit anyone. Raymond saw you hit her! You saw coercion there. You saw a number of different tactics to try to just convince, in this case, juveniles that their only out is to confess. And we see the results of that today, where we're still having people who are involved in lawsuits over false confessions due to similar tactics. What you saw was incredible maximization, right? Incredible pressure. And then to relieve that pressure, they gave them a more favorable alternative to that. The person who's under that type of duress and pressure then takes that alternative as the better option. Many times they think that they'll be resolved later, but unfortunately it never works in their favor. In the clip we just saw was horrendous police work and really what the practice of policing needs to move away from. This scene is from Breaking Bad. Jesse, you're never boring. Not boring at all. So, come on, buddy, share with us. Why were you tossing millions of dollars all over Albuquerque? I promise you we can hold out just as long as you can. As long as someone is talking, I will be learning something about them or from them. What we saw the detectives do was nothing that would produce any type of sounds from their suspect there. It appeared that they tried to keep control, and it's not control that you're looking for, it's cooperation. There was no empathy. They didn't appear genuine. I think their approach was lacking in that regard. Look, I'm only asking for a couple minutes here. You said you wouldn't talk to him. I'm gonna tell you, a kid hates my guts. Despises me. Okay? Maybe I can get him cranked up enough that he starts yapping. The suggestion to amp it up in there is nothing that I would recommend. It's not uncommon to work together, share ideas, or suspects, have different departments, conduct interrogations of the same person. What is unusual is that you would just walk away and let it happen without even observing it. Videotaping of interrogation in many states is mandatory because it captures a depiction of what happens in the room. Clearly in the scene, it's personal for Hank, and turning the tape off, it's a red flag that goes up right there. Right now, in the field of interrogation, there is a new wave coming, a wave of science-based methods to elicit accurate, reliable information for effective questioning and effective interviewing so we can move to more effective interviewing strategies to regain trust in our communities and protect the public's safety and our national security.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Former Special Agent Reviews Interrogations From Movies & TV  Vanity Fair.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Former Special Agent Reviews Interrogations From Movies & TV  Vanity Fair.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Former Special Agent Reviews Interrogations From Movies & TV  Vanity Fair.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Former Special Agent Reviews Interrogations From Movies & TV  Vanity Fair.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHello, this is Nick Offerman and I'm doing the Wired Autocomplete interview. Why? Why? This probably gets typed in the most. Why Nick Offerman? Is Nick Offerman attractive? Clearly. Is Nick Offerman married? Hell yeah, girl. Twenty years. Is Nick Offerman a ballet dancer? Surprisingly yes. I had two semesters of ballet and I still got it. Follow-up question. What is my favorite ballet I ever danced? The third. Is Nick Offerman anything like Ron Swanson? Sure. He looks and sounds an awful lot like him. Loves meat, loves making things with wood, loves scotch, particularly Lagavulin single malt and he really gets randy for women that look like Megan Mullally. Is Nick Offerman show appropriate for kids? Yeah. If you're talking about my touring show, which I think is what they're asking, if your kids are conservative? Yeah. They might get their feelings a little bit hurt when I intimate that they're indecent. Is Nick Offerman really a woodworker? Yes in fact. I was a carpenter and then I became a scenery carpenter, then I became a woodworker and I still am. Is Nick Offerman ingame? No. Is Nick Offerman a cat? No. Is Nick Offerman cats? Is that a sex thing? Is Nick Offerman Canadian? No. But thank you. I took that as a compliment. Is Nick Offerman left-handed? He is not. Is Nick Offerman funny? Sometimes. Is Nick Offerman missing a tooth? I have the teeth I have. Let's leave it at that. I'm sorry. Is Nick Offerman a minister? God damn right. I am actually a minister. I've married some people. I'm registered with one of those cool online churches. Not to brag. What is Nick Offerman drinking? Mainly water. When I was younger that would have been beer. What does Nick Offerman look like now? Is that a trick question? I don't know. I think it's a trick question. He's a good guy. He's a good guy. He's a good guy. He's a good guy. I think he's a great guy. He's a great guy. I think he's a great guy. I think he's a great guy. I think he's a great guy. I don't know. I don't know. I don't know. I don't know. What is Nick Offerman drinking now? Is that a trick question? This is a visual medium, right? A lot like this. I'm sorry if you are vision impaired. Like a handsomer George Clooney. What does Nick Offerman drive? I have two vehicles. My sensible vehicle is an Audi that is for mileage and safety and parking ability. Then at my shop I have a Ford F250 Super Duty diesel. Which is for hauling pieces of trees. What does Nick Offerman do for a living? This. What college did Nick Offerman go to? The University of Illinois at Champaign Urbana. Does Nick Offerman... What? Play a guitar. He does. He plays several. Does Nick Offerman have tattoos? He does. Two. One on each python. What's that? One is a heart viney thing with a rose. The rose looks kind of like lady parts. Let's call it a Georgia O'Keeffe rose. And it has a banner that says mater. Latin for mother. Mother. It's my pretentious mother tattoo. The other one is the sort of Mississippi Indian band wraparound with an ankh right here. And that tattoo says I'm a very big fan of the red hot chili peppers right after blood sugar sex magic came out. And I stand by it. Does Nick Offerman have siblings? Yes, I have three. Two sisters and a brother. All magnificent creatures. Does Nick Offerman have a podcast? He does. It's called In Bed with Nick and Megan. And it's driven, it's the brainchild of Nick Offerman's wife. Or me. I'm Nick Offerman. My wife. She thought of it. I get to do it with her. That makes Nick Offerman lucky. Did Nick Offerman die? No. He didn't. He didn't. He didn't. No. Why? Why? This probably gets typed in the most. Why Nick Offerman? Why Nick Offerman hates the internet? Why anyone in their right mind hates the internet? Have you seen it? Why does Nick Offerman say Fremulon? My friend and hero Mike Schur. Who wrote. He wrote on Saturday Night Live. He wrote on The Office. Also plays Moe's Shroot. Super fun fact. Created Parks and Rec. Created Brooklyn Nine-Nine. When we were making Parks and Rec, they were making their producer card for Brooklyn Nine-Nine for his company called Fremulon. He asked me to say Fremulon. And it's the greatest compliment I've ever received. Why is Nick Offerman so popular? There's no accounting for taste. How Nick Offerman stays in character. It's all in the breath. How is Nick Offerman beard style? I ask myself that every day. How am Nick Offerman beard style? I think that's improper grammar. Beard style. Nick Offerman today. And. I am. Heavy stubble. How did Nick Offerman become famous? To the degree that he did. By. Winning the actor lottery and being cast in the role of Ron Swanson on Parks and Recreation. How. To meet Nick Offerman. Politely. How did Nick Offerman meet Megan Mullally? We met. In the middle of the summer. In Los Angeles. In Los Angeles. I was doing a play. In Los Angeles. Called. The Berlin Circle. By. Chuck Mee. Thank my lucky stars. What was the movie about? Chuck Mee is a cool absurdist writer. He calls himself a collage writer. And has characters like Eric Honaker. And Megan played New York socialite Pamela Harriman. And it ended with the celebratory everybody gets together. And sings The Beatles. All You Need is Love. In German. And the movie ended with the celebratory everybody gets together and sings The Beatles. All you need is love. Enhappy. And the movie ended with The Beatles. All you need is love. Enhappy. And the movie ended with The Beatles. All you need is love. Enhappy. And the movie ended with The Beatles. All you need is love. Enhappy. And the movie ended with The Beatles. All you need is love. Enhappy. And the movie ended with The Beatles. All you need is love. In German. Ale broken Lieb . I believe. And the rest is history. I put a ring on that. Yeah. Can Nick Offerman sing? God damn right. Can Nick Offerman actually play the saxophone? Oh hell yeah. Can Nick Offerman break dance? I don't know. Can'll he? Was Nick Offerman in the military? No. Has Nick Offerman hosted SNL? No, Lorne. Nick Offerman Freemason? Yes. We met on the level, we parted on the square. Nick Offerman, Baywatch, almost. Nick Offerman is my spirit animal. I believe that is no longer a cool thing to say politically, cultural appropriation from Native Americans. So now you have to say my inner beast. Please and thank you. My inner beast, Tim Curry as Frank Furter in Rocky Horror Picture Show. Frank-en-furter. Nick Offerman, Lord of the Rings. Nick Offerman. Notes to live by. Stick around. Coming up any moment now. Nick Offerman, shirts on making it. Some are flannel by the Carhartt Clothing Company. Some, the denim looking ones, are made by a cool company in Hartford, Connecticut, Harden Co. Check them out. Their stuff is dope. Nick Offerman, Yule Log. A brilliant idea by a young man named David Phillips. I shoot commercials for Lagavulin Scotch. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. I'm a big fan of the Yule Log. One of them for Christmas is me sitting by a roaring fireplace, meant to be put on the television to accompany your office party, your family gathering, as I sip Scotch in a satisfied manner. You're welcome. Nick Offerman quotes about love. Love is where it's at. It all turns on affection. I feel pretty, like that was pretty nice and harmless. And I'm surprise, frankly, you know, that there weren't any, like, why don't we put Nick Offerman in prison? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Nick Offerman Answers the Web's Most Searched Questions _ WIRED-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Nick Offerman Answers the Web's Most Searched Questions _ WIRED-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Nick Offerman Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Nick Offerman Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nSo this is one of my essential items. I carry this around because I found this on a movie set one day, and it's really cool because whenever you wanna end a conversation with someone, you just go, you know, or I'll be like, hey, let's start the conversation about how you owe me money, and action. Hey, what's up, everybody? I'm Trevor Noah, comedian and host of The Daily Show, and these are my essentials. First item, my electric toothbrush. I know it doesn't seem like an essential thing, but this is my real toothbrush. This is my road dog. See those scars? Look at that. Those are battle scars. That's traveling. That's Ohio. That one over there's Tucson. That one over there's Austin. Power. Oscillating, pulsating. I used to brush my teeth with a normal toothbrush, and then when you discover this, it's like moving from a horse carriage to a car. That's what life is all about. You forget to brush, you brush twice as hard the next day. That's what I do all day, every day. My grandfather used to say to me, he said, Trevor, if you don't brush, you brush when you can, and that's what I've been doing ever since, brushing as much as I can. There are a few things in my life I consider more essential than headphones. These are easily my favorite things ever. I think Bose has done the greatest job of creating noise-canceling headphones. If you fly, you know what it's like to have a baby crying. These, no baby. Like, I even forgot that I had a baby on the flight. I left the baby behind. Then they called me later. They were like, yo, did you leave a baby? And I was like, oh, snap. And then I came back. Then I realized it wasn't my baby. And I was like, what just happened here? That's how good these headphones are. And then these are great. Little AirPod Pros. They go straight into your ear. These are great for like short trips, you know, like a little 15-minute trip. These are great for like short trips, you know, like a little 15-minute trip. These are great for like short trips, you know, like a little 15-minute noise cancellation thing. I see some people wearing them in the streets in New York, and I don't do that because I don't wanna die. You gotta hear what's happening in New York. Cause sometimes like a bicycle is flying by. Sometimes cars jump the curb. It doesn't happen a lot, but it's enough for me to not wanna noise cancel. I wanna hear my death coming. I'm not gonna avoid the death, but I just wanna be able to be like, ah! This is an essential. If you live in a city where there is rain. California, you can skip this part. I know you guys don't know what rain is, but the rest of the world. As a little kid, I loved umbrellas. I loved Mary Poppins. I loved spies that could shoot umbrella things. You know, like they shoot the little thing out of the tip, that thing. So I found one of these. This is my essential. It's an umbrella that opens the other way. It's like magic. Look at this, look at this. What, what, what, what? What, you see that? Other way. And then when you're getting into a car, you just do this move. You just do this. And then I meet people at my destination and they're like, oh, weren't you in the rain? Then I'm like, no, I was, but I had my essentials. And that's why I'm good. And you're not. This is just an essential. I don't like traveling with a laptop. It's too cumbersome. It's heavy on my back. Also don't like just having like a tablet because then sometimes websites are just like, are you using a big phone? Then I'm like, no, I'm using like a big device. I want to see the full website but then they don't want you to see the website. So this is a Surface Pro X and it's basically a tablet if I need it to be one. And then it's a laptop if I need it to be one. And then what's cool is that I have my little pen that hides on the inside over here. See that? Has a little camera, which I don't use. I don't ever understand how people use the cameras on these things. It looks a bit weird taking photos. Like. But it's nice to have a device because it makes you feel like a professional. And then when people see you typing, they're just like, wow, what is that person doing? You know? This whole thing. Yeah, but if you're on this side, you would see what I'm typing is, Google, how fast can Superman fly? Wow. This lip balm is easily like one of the most essential things in my life. I have one of these everywhere. I've tried like a bunch of things, but I like the Blistex specifically just because I feel like it stays on your lips long. Some chapstick feels like a scam. You know what I mean? Like some of the, like you put like a lip balm on and then it feels like it makes your lips dry so you need more. And I find this doesn't do that. They say it's medicated as well. I don't know what that means, but I just like the sound of anything medicated. Just a quick tip though. It's gonna break when you drop it. That always happens. See that over there? But that's, I mean, that's life. You know, I'd rather have cracked lid than cracked lips. Simple essential. This is one of the quirkiest essentials that I own. I think it's one of the most underrated pieces of technology that's ever been invented. A pair of glasses known as spectacles. And these were made by Snapchat. They may not be everybody's style, but I love them when I travel because when I'm on vacation, I don't always like to have my phone out. I feel like it takes you out of the moment. So what's great about these is you can wear them and then you can just like press a little button. See over there? And right now I'm recording you recording me. Like I've used these when I was fishing for piranhas in the Amazon jungle. I've used these when I was like hiking through Peru. And what's great is you don't stick your phone in people's faces. Cause that's what I hate about like traveling a lot of the time is people just, you know. Also makes me feel like a spy. Cause deep down inside, I'll always be 11 years old. This is what's known as Project xCloud. I have been playing video games since the very beginning. Since I knew how to use it. I used my hands. My mom was a Pac-Man champion. A lot of people don't know that. And so whenever I leave the house, I always regret that I don't have my console. It's a service from Xbox where you play all your games like at home or just any game you want, wherever you are. So I'll be like playing like a full on driving game. I'll be playing Gears of War. If I've got internet, I can play like a real game. You know what I mean by like a real game? Like if you play video games, you know what I'm talking about. I'm not like a fan of like the mobile version. I want to play the real thing. And so this is it. By the way, people who play video games in movies and TV shows, stop doing this. That's not real. That's not a real thing. Video games, people are very calm. Most of the time, when you're really playing a video game, this is what it sounds like. That's real. This has become an essential in my life. I've been playing video games for a long time. I've been playing games for a long time. I've been playing games for a long time. I've been playing games for a long time. I suffered a vocal cord injury a few months ago, hemorrhagic polyps. And my doctor told me it's because my voice gets too dry. That's from a lot of flying. That's from not drinking enough water, et cetera. And so I got one of these, a portable humidifier, like makes steam. Whenever I fly on, like every few hours, I'll just use this. I put this over my face. It like lubricates everything. And then it's like cool. And if you're on a flight where people can choose their seats, no one will sit next to you because you look like they're gonna infect everybody on the plane. So I just sit there and everyone, I'm like, please join me. Join me. Nobody sits next to you. One final item, my time piece. Grew up in a home where I always loved watches. My father is Swiss, so it's almost a prerequisite. He would bring me two things from Switzerland. Every time he would come back home to South Africa, he'd bring me a watch and he would bring me the chocolates. And so I've loved collecting. And this is easily my most essential piece. If I had to keep one watch and one watch alone, it would be this Patek Philippe 5650G, the Advanced Research. One of the most beautiful pieces ever made in my opinion. It's got all of the work of a Patek Philippe, a beautiful design, but at the same time, it doesn't take itself too seriously. You know, you've got this like fun rubber strap. You can wear it whenever you want. You've got the open face. I don't know if you can see that. Like you don't see that on any other Patek Philippe. This was the first time where they'd showed you a few of the internals of their watches. I'm not a big fan of like diamond watches or anything. I think that's weird. Cause I actually want to tell the time. I don't want to look down and be like, what's the time? Diamond past two? So this is one of my essentials. And it reminds me of my dad because that's what we always shared was a love of time and timekeeping. And if you know any Swiss people, you'll know that it's not a passion. It's what they have in their bones. They're obsessed with time. A bit crazy if you ask me. I just like the watches. Well, that's my essentials. Thank you so much for having me GQ. And thank you for watching. If you like any of the stuff I have, you can send an email to my website and I won't be able to help you, but I will now have your mailing address, which I will use to invite you to all of my comedy shows. Don't email me. Actually, I regret saying that. Don't email me about any of these items, please.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Trevor Noah Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Trevor Noah Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Trevor Noah Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Trevor Noah Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nAn action scene can take anywhere from a week, two weeks, to a few months. Not only because it's action, but because it also helps the director tell the story of the film. Hi, my name's Aleema Dorsey, and I'm a stuntwoman. I've been in Jumanji 2, Baywatch, and Ghostbusters. And we're here today to look at how stunts are done in comedy and action film. This is Mission Impossible, World Nation. Oh, this is such an epic scene for Tom Cruise because, you know, that is him doing this stunt. What I love about that is that was probably some kind of wire gag. At least that's how I would have done it. I could have put my stunt person on the wire. Kudos for him. There's a lot of precautions for actors doing their own stunts just because of the line-up. There's a lot of liability that goes along with it. If an actor gets hurt, it could actually shut down production. A lot of times the actors want to do their own stunts. And if they're athletic and they are familiar with the kind of gag that we're doing, we want to keep them as safe as possible. So, yeah, it's great that they might want to do the action, but we also have to make sure that we get through the film without the actor getting hurt, which is why we have the stunt men and women come in there and put their lives on the line. So that the actor doesn't have to do that. This is Casino Royale. That right there is so hard. I mean, can you imagine running at that angle? People really don't even understand how hard it is to try to jump from one thing to the next and pretend to fall. Regardless of the safety lines that you might have attached, just hitting your chest up against the bar, your arms up against the bars repeatedly, those things are super brutal. How crazy is that? Hardcore guys really can do that. The way that they land and roll out of those is actually what makes those stunts very doable. That was a nice fall. That was a really nice fall. I wouldn't be as afraid to do that stunt because there's so many different things that they could have done to that material to make it look like it's harder than what it really is. So it kind of softened his fall a little bit. On days like that, that's when they have us bring our fire gear underneath our outfit or uniform so that if we do catch on fire, we do have an extra layer of protection there. They would have someone, the safety team, come out there and actually extinguish all the guys with the fire extinguisher. This is Ghostbusters. Oh, I love this! Okay, so first let me say I love this film. I love this film. I love this film. And it is because I'm in it. Let's put it that way. The stunt that just happened was a ratchet. So what a ratchet is, is you have a harness and you're on and you're connected to a wire. And then there's a pressure system where you have someone pushing a button. Or sometimes you can have a hand pull where you have guys back there pulling on ropes that are connected to the wire. So he was literally yanked back about 20 feet. Oh! Oh my God! That bounce right there? That bounce was real, people. Let me tell you. I actually jumped off of this stage. It was about six feet up. Whenever you do a high fall, you never want any points to hit. So I wouldn't want my tailbone to hit first or my hip to hit first. You pretty much want to land on your back because that is the safest place to land. I had a back protector, a tailbone protector with a proton pack. So that bounce that you saw was actually real. So it was really fun. But it hurt. It was real. Okay. And I'm going to open it. On three. That little push of this apparatus across the stage took us so long to do. That little push was actually our stunt girl, Meredith Richardson, who's amazing. You had to make sure to push that thing in the right spot each time. Sometimes it's just about hitting a mark. And hitting a mark over and over consistently is a really difficult thing to do. So kudos to Meredith. I'm not one. This is definitely. I actually love this film for a couple of reasons. Quentin Tarantino started my career as well as he started Zoey Bell's career. Check this out. This is such an epic scene that we're about to go into because she's really doing this. They are going super fast. Normally when you watch stunts, they might go like 20 miles an hour. Or something. But they are really going really fast. And the reason that I know this is actually Quentin Tarantino. We talk about this film all the time. Or we have in the past. He really had to find a stunt woman who could give him what he wanted from this film. He likes realness. He doesn't like to fake the funk. You know, it's really amazing with stunts. We're always putting our lives in someone else's hands. For them to be going at super excessive speeds. Zoey being a super aggressive. I mean, I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. I don't know. But, I feel like if we have a stunt woman who's actually really good at these kinds of stunts. We're always putting our lives in someone else's hands. For them to be going at super excessive speeds. Zoey being able to trust the stunt woman that nothing's going to happen to her. And that she can actually perform. Because she's acting in this film as well as doing stunts. Which is another amazing thing. The safety measures are very important. There's different varieties of safety when it comes to making sure that a stunt person comes home at the end of the day. One of the things that made this stunt. but more safe than another are the actual performers. Do you want to it faster? I saw a stunt woman pushing another stunt woman's limit, but at the same time, I saw the trust between them, knowing that they were friends, that they weren't gonna hurt each other, but still testing each other and pushing each other. And so they had that camaraderie. So that, the reason why the stunts actually come out so well at the end of the day, we always have each other's back. No matter what, we might be the one that pushes you to the edge, but we're also the one that will never let you fall over. This is Legend of Drunken Master. Okay, Jackie Chan is my favorite of all times. This is real stunt work right here. This is like the real deal. Doesn't get more real than this. I mean, just the timing of these fights, for them to be able to do this, to be able to go this fast and hit every mark, every expression is one of the things that the younger generation stunt people strive to be like. That hit, that side hit to the ground, you know, was him actually hitting the ground. They didn't, it doesn't look like they had anything there. There was nothing there to soften his fall. That's one thing about Jackie Chan he's known for. I mean, he got hurt a lot. There's different ways to protect your skin and body from fire. Normally they have a gel base covering over their skin. It takes some time for that fire to get through that gel. Now, some time means a few seconds, but most importantly, you have an experienced fire team, a safety team that's ready to make sure that that stunt performer's okay and they can put that fire out in a timely manner because that gel only lasts but for so long. This is Steamboat Booty. Bill Jr. What I love about this. This is Buster Keaton. Back in the day, they didn't have pads. This is like, always joke with the older stunt guys. I'll call them like BP before pads. You know, like, they said BC, before Christ, it was like BP, before pads. I take my hat off to all of the stuntmen and women that came before me because they don't have any kind of protection whatsoever. They just have a lot more of that at the moment. They don't have any kind of protection whatsoever. They just have a lot more protection. You just have to know how to fall. Back then, you were supposed to be tough. There's really no protection there. He really jumped on a mattress, which is something we would never do that today. We'd always have some kind of protection. So cool. It's all about your marks, but just to trust, that's really what that whole scene right there to me was all about, was trust and safety. To trust that house is gonna fall, or that part of the house is gonna fall in the same spot each time, and you can't flinch and you can't anything, is pretty amazing. This is Bad Boys for Life. The lay downs that all the stunt guys are doing are pretty phenomenal. They really picked a very talented group of motorcycle stuntmen in the shot. Yes! Wow, that was super cool. Did they have someone? Was the rider still on there? I don't know, I don't know. I don't think the rider was still on there. I think the way they had the camera set up, that didn't really have to be a real person on that bike. When it landed, it could have been a dummy, possibly. The way it was shot, you really don't have to see the person in particular, like details of that person, and it's super dangerous to where you don't necessarily need to put that stuntman's life in danger. But I think that that's the best time to use a dummy. Wow! Oh, those are two fun stunts back to back. So the first one was really cool because that was all about timing as well. That stunt performer had to really be dependent on the stunt driver, making sure to maintain that speed so that stunt person can actually know when the perfect timing was for him to actually push off of his pegs and then do a shoulder roll onto the bed of the truck. Him going into the barrels. The barrels are not something that's too hard to go into. It's just a matter of protecting yourself as you're going through there. They probably did a cowboy switch at the end where the stunt performer went through, and then on the next shot where you see the actor, you'll actually see Martin. Oh my God, that was so awesome. I had such an amazing time just getting a chance to go through all the stunts. One of the things that I really liked about this stunt, and one of the things that I really want you to get out of this, the stunt men and women here put their life on the lines all the time, but I also want you to get out of it of how amazing the actors are, and together with the actor and the stunt person, we're able to give an amazing performance. So I hope you see that we need each other, we thrive off each other, and we have each other's back so that you can enhappy entertainment.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Hollywood Stuntwoman Reviews Movie Stunts, from 'Mission Impossible' to 'Casino Royale'.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Hollywood Stuntwoman Reviews Movie Stunts, from 'Mission Impossible' to 'Casino Royale'.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Hollywood Stuntwoman Reviews Movie Stunts, from 'Mission Impossible' to 'Casino Royale'.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Hollywood Stuntwoman Reviews Movie Stunts, from 'Mission Impossible' to 'Casino Royale'.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWhen I die, I want these burnt and mixed in with my ashes and spread over the beach. That's not true, but maybe, maybe, we'll see. What's going on? It's Chase Stokes, and these are my essentials. First essential I actually have on my wrist because it's an essential. This is one of Omega's new watches. This is the Seamaster, and it's got a beautiful blue face, rose gold. Omega has been so fantastic to me over the past couple press runs in allowing me to wear their pieces, so this is just one of the most beautiful watches I've seen in a long time. And I kinda like that the face matches the jacket, yet again. Just a very timeless piece, and anytime you get to wear something that James Bond also wore, it kinda makes you feel good inside. I had kinda always been a fan of watches, but growing up in a not as well-off home, it was kind of a far-fetched dream, and so, as things sort of started to progress in my career, that was always sort of a staple piece that I wanted to have. It just always kind of brings a smile to my face. You know, it's a reminder of the hard work that it's been over the past couple years, and being able to take a step back and say, okay, you know, like, you deserve something like this, or the value for the work that you've done with this show and with yourself and taking the risks that you have. You know, it's nice to treat yourself. I don't know, man. You just put on a good watch and you feel good. It's like putting on a well-tailored suit. You know, you put it on and you're like, hmm, well, like, not too bad, right? Next up, we got Tom Ford Exfoliating Scrub, and this is a lifesaver for me. So playing John B is great, but I naturally have a little bit of facial hair, so I have to wake up every morning and shave my face, and I use this probably twice a week, and it immediately brings my skin back to life. It helps me so much with small breakouts. I do have sensitive skin, so this is a go-to lifesaver. Thank you, Tom Ford. I'm very obsessed with this product. I'm gonna embarrass myself right now. Any beachgoer is gonna recognize this brand. This is Rainbow Sandals, and I've had these shoes since I was in eighth grade. They are my daily drivers. Yes, those are holes in the heel areas. The straps are basically gonna come off. If these things could talk, I probably wouldn't be able to sit here right now with all the trouble I've gotten in in these shoes. So like John B, I've run from the cops in these. I have, we'll just leave it at that. But great sandals. They're great for the beach. They're great for basically any occasion, summer. I've worn them during winter months too. Call me crazy, it's fine. But they're just awesome sandals that obviously last a lifetime. And the best part about them actually is this company, if I wanted to right now, I could send them right back, and they would send me a brand new pair. So super environmentally friendly. I'm a big fan. I actually have another pair, but I just stick with these bad boys. It's just one of those things that I don't think I'll ever be able to detach from unless somebody throws them in the trash, like my girlfriend. Or my mom. Or my dog eats them. You never know. He likes to carry things. Okay, so I lost them actually when I first moved to LA. I was kind of bouncing back and forth between people's houses. I slept in my car for a little while. I remember I had tried to condense my entire life into my car, and I'd left like suitcases or a backpack at friends' houses and that was one of the items. And I remember vividly having a panic attack because it was one thing that I had had that was sort of a part of my life prior to the whole entertainment industry. So I don't remember where I found them or how I got them back, but it was a borderline face of tears, which is super embarrassing because it's just a shoe that has holes and shouldn't be in my life anymore. But here we are. My next essential, these bad boys. Amiri sunglasses. I can't say enough about these. The clear lenses are kind of nostalgic. Amiri's just such a great brand. He's an American designer. Just like a really cool story, LA-based dude. And all of his stuff is just so rad. So when I got my hands on these and just the way they fit my face, I just thought they were a little different, but different enough to fit my style. I kind of like to try new things all the time. And so, what's not to love, you know? It is a blue tint, which ironically matches sort of this fantastic jacket. I do like a black frame. They just feel timeless and they feel like you can just pair them with whatever you're wearing. And then with a tinted lens, like this with the blue, it just, I don't know. I kind of feel like Iron Man and it makes my stomach feel nice and warm. So Iron Man, watch out Robert Downey Jr. Might take your sunglasses too. Next essential, Le Labo oil diffuser. Santal 26, which is very similar to the 33, but I am a huge scent guy. I have literally been putting this in diffusers for maybe two years now, since I figured it out. But I bring it with me everywhere. It's kind of one of those scents for me that reminds me of sort of a home base. And in the entertainment industry, we travel a lot and being gone on location, you're trying to kind of make a home away from home. So scents for me are always something that bring me back to a specific moment in time. And this one, when I smell it, honestly, what it takes me back to is being on the water for some strange reason. And in Charleston, you're constantly surrounded by the marsh. So there's like a very specific scent. And I guess just because of where I was in life and sort of that transitional period, this was one of the first things where I wasn't buying, you know, diffusing oils from Amazon. And I decided to splurge a little bit, which sounds ridiculous because it's just, you know, an oil, but it's just been something that constantly puts me in a place of nostalgia. So Santal oil diffuser. Says I should get rid of it after 12 months, but I'm gonna keep it going. So my next essential is a Moleskine journal. It's a Moleskine journal. I'm a big journaler in my personal life for a number of reasons. I've struggled quite a bit with my anxiety and kind of coping with that. And one thing that I really connected with through that was poetry. What I learned through poetry is if you take the time to write it on your phone, you have the opportunity to delete everything and you can kind of go back and erase words. And when you put it on paper, it lives forever. So you're kind of watching your mistakes and you're watching yourself grow and you're able to kind of jot things down that are a little bit more personal. A little bit, again, nostalgic for whatever was going on in that time. I've gone through kind of a lot of ups and downs over the past couple of years with, you know, family members passing away and loss and a lot of the, you know, accolades with the show and everything going on there. So to have a physical copy of reminding myself of the journey itself and not allowing social media to be a definitive factor of where I'm at and sort of level myself and feel grounded, that's kind of why I like to put it down on paper versus, you know, jotting it in an iPhone note. I've probably got 15,000 different notebooks laying around. I like Moleskines because the size of them is convenient, but I have ones that say like Chase's World Plans and like just random, you know, like the yellow legal pads laying all over my house. I mean, I make daily notes because if I put it on my phone, then I'll just kind of swipe through it. So I'll even put to-do lists in my journal just because I always have it on me. So, and it looks cool. This one's black. It's pretty sleek. I like it. This is called a Furminator. That is a must for any dog owner. It looks a little scary, but I have an 85 pound puppy and he sheds a lot, like a lot. So this actually gets under the top layer of the coat and it pulls out all of that excess fur. So this is a lifesaver. I've prayed for it for a long time and I'm very thankful to have it in my life. I found Milo. He looks like a wolf. He's a German Shepherd golden retriever mix. He was from a farm in Pennsylvania and my mom and my girlfriend found him on Craigslist. And I was not really looking for a dog at the time. Lo and behold, I got bullied into it. And now I have an 85 pound one year old dog who basically controls everything that I do in my entire life from the time I wake up till even when I'm asleep, I feel like he's still controlling my brain. So it's great. It's a good time consuming activity. Shedding dog, big house, small house. You need this bad boy. One of the most essential items in anybody's list is headphones. But these were a gift. From a lovely friend of mine. And they are the Brelooty Bang & Olsen collab. And they are probably the coolest headphones I've ever seen in my entire life. They are noise canceling, which is super, super clutch, especially for travel. You know, with work, we have been traveling quite a bit. You know, we shot all through COVID and having a good set of headphones when you're trying to get into character, having a good set of headphones when you're on the plane and you're trying to zone out. I've been big into Headspace on Netflix lately. I put these bad boys on and literally the last, I think like four or five nights, I'll sleep on my couch with these headphones on, listening to Headspace, like totally trying to get my head clear. So I am absolutely obsessed with these bad boys. They're incredible. This is a Canon 90D with a Sigma 35 millimeter lens. I got into photography probably about four or five years ago. I tried to kind of start with the entry-level cameras. And as I sort of got more and more into the workload with Outer Banks, all of our DPs, which is our director of photography, I just loved picking their brains. So our director, Jonas, always lets me kind of shadow and I sit next to him and I've learned so much about it. So I just wanted to have a camera that I was able to snap moments, not just at work, but throughout life. It just felt like the right size. It wasn't too much of like a cinema camera. It does great with like sort of the point and shoot stuff. It takes incredible images. And in Canon, I love the warm tones for them. So I think this is my second 90D because I, oh, the other one dropped it in the water. Oops. But this lens Sigma is just incredible. And then this strap was actually a gift from Maddie. So it's kind of a cute little reminder of my lovely girlfriend. You know, I love to hate jump ropes, if I'm being completely honest. It's one of the best forms of cardio. You can do it in a relatively small place. Sometimes you gotta make it work. So through COVID, you know, we didn't have gyms and we had to get really creative with our workouts. And obviously doing a lot of the physical activities myself. I have a wonderful stunt double named Cole, but I still try to do as much as I humanly can. So for me, staying in the best shape that I can and matching my diet with my fitness is incredibly important because we don't have a small shoot window. We shoot for over half the year. This season in particular, we were in Barbados, which was on basically a full lockdown while we were there. So having some form of physical activity when you're essentially locked in a hotel room, when you're not shooting, is super, super crucial. So this bad boy has served me well and has left a lot of well marks on my arms and my shins and my feet as well. So I love to hate that thing. That's my 10 essentials. These are the things I keep with me. Hope you guys enhappyed it. And thanks for watching.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Chase Stokes Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Chase Stokes Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Chase Stokes Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Chase Stokes Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nYeah, his name is Goku like in Dragon Ball Z because I'm a big fan of Dragon Ball. He likes Dragon Ball Z, he like, yeah. Yo, what's up, GQ? I'm Manoel and this is my 10 essentials. My PlayStation, I can't live without my PlayStation. When I go on tour, this is like my best friend because if I don't bring the PlayStation, I feel like I'm a slave on my work, basically. Every time I get on the plane, I put the TV and I put the PlayStation and I'll be playing. My favorite game right now is 2K20. They're the 2020 FIFA game. And I'm like a little kid with the Dragon Ball Z games. That's a part of me I like, I never grew. Like, I never finished growing up, so I'm always playing. It's one of those three, basically. I'm always playing. Okay, so one of my next essentials is this little bag. It's like where you put the watches. I love the jewelry, I love the watches. I got a lot of money, like, invested in watches. When I buy watches, I make sure like a year could go by and they're still gonna have the same price, the same value, or maybe more. Basically, I just keep them in here. You put them on like in a row. Like, basically, I got like, yeah, like six watches, seven. When I started to buy watches, I used to scratch them a lot. And when you scratch them, they lose value. So I used to take them off and put them, like, anywhere, basically. So I started to buy these. So when I don't got it on, I'm just keeping it safe here. Okay, my next essential is like, is like a son to me. My dog, he's an English Bulldog. And yeah, he looks a little bit like me. He's my little baby still. I gotta be taken care of. And this type of dog comes with all types of problems. So basically, I'm always having him checked. See, he ain't getting sick or none of that. I can't wait for him to grow up, because they grow up big. He don't get that much tall, but he gets really fat. Yeah, so yeah, I can't wait for him to grow up. So my next essential is like this utility bag. It's where I keep all my chains. This was like the first chain I bought when I came out of prison. It is like the devil and Jesus, like fighting. And I'm a really spiritual person. So all my chains, I'm always like, yeah, I'm in love with the jewelry. I love the jewelry. So, so yeah, this is one of the most important essentials for me. I love this. I love the jewelry. I love the diamonds, the gold. So yeah. Okay. My next essential is the new Lamborghini SVJ. I can't bring it in because I can't carry it, but I got the key right here. It's the type of car that basically I would want to take it to every city, every country. Just my manager says, don't be like, that you're going to throw away money. Like, don't be doing that. I get sad because I'm leaving it in the house all alone. Like I grew up out of it, and basically I didn't have nothing. Like sometimes we'd be going out, right? And it's me and all my friends, instead of just going in my car, I'd be telling them like, nah, bring all the cars. I give around all my keys and you see, yeah, we'd be pulling out from the Lambo, the Rolls Royce, the, like all the cars. Even sometimes we go out in the, in the motorcycles, and I'd be like, nah, follow us in all the cars. And I'd be getting the keys, yeah. Doing some, a little too extra, but yeah. My next essentials is the Jordan. I basically this Jordan, but I can't bring out all my shoes, all my sneakers. Cause basically I'm a sneaker freak. When I go on tour, I bring like, like two different bags that can fit. Each bag can fit like 12 different pair of sneakers. Out of 24, 22 are Jordan. So I love Jordans. Like where I'm from, like the Jordan, having Jordan is like really part of the culture. So this is really essential for me. I'm always up and down with Jordan. I try to not wear them too much. They're the type of shoes that if you want to, you don't want to get them too dirty, you don't use them too much. But if you don't use them too much, you gotta like wrap them up, basically. Cause the Jordans, I don't know why this type of sneaker, you don't wrap them, they break. Lately, I just do, I just buy two pairs of each sneakers. So I just get one to do whatever, basically up and down, like on the daily, and the other one I save it for certain occasions. My next essential is, B.A. Headphones. I use it for music, like for writing, but sometimes I know I'm going to go through a airport. I know there's going to be a lot of people there and I'll be putting them on just to play it cool. Like, you know, people start to speak your name, this and that. And so sometimes, you know, there's some days you ain't, like basically you ain't feeling that good. Like you don't even want to talk to nobody. So basically I just put these on and yeah. And I put the music on and I forget about everything. My next essential, right, is this laptop. I just take the laptop everywhere and I plug it into whatever setup I got to record. And basically this is where I got all my music. This is where I got Pro Tools, all the projects. Yeah, basically this laptop, yeah, means a lot to me. I got to take it everywhere, basically, because I'm always working. My next essential is this speaker, because everywhere I go, I always got to have music, right? So if I'm in the hotel getting ready for a show, I put the speakers on. If I'm in the house with Carl and my whole family, we just vibing or drinking or having fun, we put the music on like, like basically everywhere. My assistant gotta be carrying me, like if it was like Yeah. So one of the things I can't live without is this microphone. It's like a really good microphone. And I like that. microphone that even if you ain't in a big studio, it's gonna sound like I'm in the best studio in the world. With this microphone is that I make the millions. Yeah, so we finished. Thank you GQ for checking out my 10 essentials. Hope you like them. God bless y'all.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Anuel AA Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Anuel AA Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Anuel AA Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Anuel AA Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHello, I am May-Ancia Abala. I am 19 years old. I graduated as cum laude in Cabita State University main campus and I recently passed the licensure examination for accountants that was held last October 2019. I was an intern in the Coca-Cola company when I was in college and being there I was able to apply some of what I have learned in real-life situations. As for my characteristics, I am jolly, friendly and I have massive respect for my superiors. So I have decided to apply for this job position being an accounting staff because I want to apply everything that I have learned in my bachelor's degree and as well as to enhance my accounting skills while earning money and this job position offers a very reasonable salary including the benefits. Now let's move on to the next step. So as for my strengths, I am very proud to say that I am a detail-oriented person which is very important if you are an accountant. That is one of the positive feedbacks that I have received from my superiors during my internship in the Coca-Cola company. I can record company activities without any errors which saves time and is efficient for the company. I also have a good communication skills that is why it is easy for me to adopt a new environment and it helps me to have a good relationship with my co-workers and bosses as well. So where do I see myself years from now? I have plans in taking up my master's degree and entering a law school. It is because I want to offer the best service that I can provide for this company. After I graduate, I still see myself working for this company, Asia Pro Cooperation, but in different and higher position given with my experience and educational attainment but of course with my heartbreak and perseverance. So lastly, why you should consider hiring me? Because aside from my accounting skills, my attitude is one of the best assets that I can share with my colleagues. I am also a very good accountant. I am very good at accounting. I am very good at writing and I am very good at writing. I am very good at accounting. I am responsible, responsive, I can carry out tasks efficiently and I can handle stress. We all know that stress is always present in every job that there is, therefore hiring someone who can work under pressure while still being efficient is a big help for the company. And lastly, because I see accounting not as a job but rather I see it as a vocation and I can do it willingly, passionately and wholeheartedly. And that is all. I hope you consider hiring me. Thank you for your time.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/One Way Job Interview.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/One Way Job Interview.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/One Way Job Interview.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/One Way Job Interview.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nMae pobl yn ofyn i mi, chi'n blentyn dyslexig gwledig o adref brociau yng Nghymru, pam ydych chi'n ddiddordeb yn ystod ystod y stwm? Ac rwy'n credu ei fod oherwydd nifer o bethau. Y cyntaf yw'r clangwyr. Fe wnes i fy nghyd-dod â'r clangwyr pan oeddwn i'n debyg tua tri mlynedd ac maen nhw'n byw ystod ystod y stwm. Ac roeddwn i eisiau mynd i'w gweld. Ac hefyd, ar y pryd roeddwn i'n tyfu, roedd pobl yn lladdio ar y ddyn. Ac roedd rhaid i'r rhaid i'r rhai yn ystod y stwm, felly roedd yn y diwydiant yn ystod ystod ystod ystod. Felly roedd yna rhywbeth o ddiddordeb yno. Ond wrth edrych ymhellach, wrth fy mod i'n tyfu, rwy'n credu bod yn blentyn gwledig yng Nghymru, mae'r Llywodraeth yn hynod o amgylcheddol. Ond pan es i'r ysgol, fe ddim yn deall fy mod i'n cyffwrdd iawn. Nid oeddwn i'n nigeriaid iawn oherwydd nid ydw i wedi bod yno o'r blaen. Ac roedd fy rhwydwaith yn dweud, Maggi, oeddwn i wedi colli nigeriaid. Ond pan es i'r ysgol, os oeddwn i'n dweud fy mod i'n Brydeig neu'n Saesneg, fe dweudais, nid ydych chi'n Brydeig, rydych chi'n Blyd. Felly doeddwn i ddim yn cyffwrdd iawn i'r camau. Ac roedd ystod ystod y stwm yn y peth gwych hwnnw, a threfodd y cyfan hynny. Oherwydd pan edrychwch ar y dynion o'r stwm, doedd dim cwmniad, dim rhwystrau, dim un pobl. Ac roedd yna rhaglenni gwych hefyd fel Star Trek, lle roedd pobl o lawer o wladau gwahanol yn cael eu hymgyrchu â'r alwain. Ac roeddwn i'n ffantasiadu hynny. Ym mhob bywyd, roeddwn i eisiau bod yn gwydnïwr. Ac rwyf wedi mynd i'r brifysgol ac wedi cael ddegri, PhD, ac rwyf wedi dod yn gwydnïwr ac rwy'n ei ffynnu. Ond rwy'n gwneud pethau eraill yn fy fywyd. Mae cyfathrebu gwydnïwr, sydd, dwi'n meddwl, yn hyfryd, yn siarad â phobl am wydnïrwydd. Ond mae gen i ddau oedolion o 3 mlynedd, ac un o'r pethau rydyn ni'n hoffi ei wneud yw bwyto. Yn anffodus, ar ôl ei fod wedi'i gael, mae gen i anafrwch dair. Felly, yn y blaen, roeddwn i'n gallu mynd i'r bwyto a chael cwp, ond dydw i ddim yn gallu gwneud hynny o'r bryd. Felly, yn hytrach, rwy'n bwyto'r rhain yn eu cwp. Ac mae'n hwyl iawn iawn, oherwydd mae yna amrywiaeth o wydnïrwydd yn bwyto. Felly, rwy'n hoffi gwneud hynny, ond mae yna bethau eraill rwy'n mwynhau ei wneud y tu allan o'r gwydnïrwydd. Rwy'n hoffi ffilmiau, ffilmiau o unrhyw fath, yn enwedig ffilmiau gwydnïrwydd a gwydnïrwydd. Felly, rwy'n edrych ymlaen at y pryd mae fy mab yn ymdrin ychydig yn hwyr, ac y gallwn ni ddechrau mynd i'r sinema gyda'n gilydd. Ond rwy'n mwynhau ffilmiau yn fawr. Ac wrth fynd allan i'r llawr, rwy'n mynd i'r llawr. Rwy'n trafod y llawr aml, yn rhoi sgwrs, ac mae fy mab yn trafod gyda fi, sy'n hyfryd. Ond pan rydyn ni'n mynd, rydyn ni'n mynd i ymweld â parciau o'r hir a phethau gwahanol mewn yr ardalau gwahanol. Aquariums. Rwyf wedi bod i lawer o aquariums, ac felly mae hi. Felly rydyn ni'n mynd i weld y llawr o'r ardal leol, ac rydyn ni'n mwynhau hynny'n fawr. Pan ddod i'n gwydnïrwydd, roeddwn i'n meddwl am y pethau sy'n gallu gwneud i mi wneud pethau a fyddwn i ddim wedi fyddo ar ei ffordd. Rwyf wedi bod yn ystod y llawr yn Chili, ac wedi gweld fy sgwrs ysgol, wrth gynnwys data yn y telesgop. Rwyf wedi gallu helpu yn un o'r problemau mwyaf rydyn ni'n eu hyfforddi heddiw, newid ymddygiad, a datblygu ddiddordeb sy'n ein helpu i ddeall y ffordd. Ond rwyf hefyd wedi bod i gwneud llefydd fel Cambodgia, a gweld plant â'u llyfrau wedi cael eu llwyddo, ac wedi gwybod fy mod i wedi gwneud rhan bach o helpu i ddod i'r llawr o ddau ddau. Felly rwyf yn cael mynd i fynd i fynd ar hyn o bryd i gyfarfod rhai pobl gwych. Ac mae hyn yn ddiweddar oherwydd fy ngyrfa yn Sgwneriaeth, felly rwy'n credu fy mod yn ddigon diodd. Weithiau mae pobl yn symbris wrth i mi ddweud fy mod yn gwydnwyr gwlach. Weithiau mae pobl yn symbris wrth i mi ddweud fy mod yn gwydnwyr gwlach. Oherwydd dydyn nhw ddim yn meddwl bod pobl gwlach, neu bobl o fynodiadau ethnig neu gwlach yn mynd i'r sgwneriaeth. Ond maen nhw'n rhy ddewis. I mi, beth sy'n gwneud i'r gwydnwyr fod yn gweithredol, yw bod eisiau gwybod pethau a deall pethau. Felly os ydych chi'n y math hwnnw o berson, os ydych chi'n gweithredol ac eisiau gwybod mwy, mae'r sgwneriaeth yn y swydd perffaith. Er ei fod wedi bod yn ddwyledd gwlach yn y gorffennol, ac mae'n dal i fod yn ddwyledd gwlach, yn fy marn i, pan fyddwn i'n gweithio gyda phobl, yn gyntaf, maen nhw'n meddwl, oes, nid yw hi'n un ohonom ni. Ond pan fyddwch chi'n dechrau gwneud y gwydnwyr, mae'n rhywbeth sy'n trwyddo'r rhwystrau hynny. Rydym yn gweithio gyda'n gilydd i gael ati problem, i ddod o hyd i rywbeth, i wneud rhywbeth da. Ac yna, rydych chi'n gofio am yr holl bethau, ac rydych chi'n canolbwyntio ar y gwydnwyr. Felly, os ydych chi'n ymwneud â hynny, ac rydych chi'n meddwl am fod yn gwydnwyr, cwm a'i wneud, oherwydd mae'n swydd gwych.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Maggie Aderin-Pocock's story.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Maggie Aderin-Pocock's story.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Inspiring scientists Maggie Aderin-Pocock's story.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Inspiring scientists Maggie Aderin-Pocock's story.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nThis movie's great because when Sam Jackson goes, he's standing there, you know, we all have to come together, and he just gets eaten. Hi, my name is April Boyle. I'm a marine and environmental scientist who specializes in sharks and the founder of El Porto Shark. And today we're going to review some shark attack scenes in film and television. So, come on in, the water's great. This clip is from Jaws, directed by Steven Spielberg. What kind of a shark is it? Gee, I don't know. I think it's from a cove. Got a deep throat, Pratt. Yeah, but what kind? What kind of shark? Tiger shark. A what? A what? I love this scene because it is a crack of the fellas around don't know what kind of shark it is. They've allegedly been in the water their whole lives. They're watermen, they're fishermen, they're boaters. They don't know what kind of shark this is. First of all, that's really silly to me because if they've been in watermen their whole lives, they know what a tiger shark, a white shark, a mako. It's not mako, it's mako. I think it's from a cove. So they're pronouncing things incorrectly, and that's not something lifelong watermen would do, or waterwomen. But in this case, the scene has watermen. But the fact is that the bite radius on this animal is different than the wounds on the victim. The thing about bite radius, there is something to that. Often when a shark bites a surfboard, a boat, anything, a person, you can figure out how large the shark was based on the size of the mouth. So there is something to the bite radius thing. Look fellas, let's be reasonable, huh? This is not the time or the place to perform some kind of a half-assed autopsy on a fish. A necropsy is actually what it's called when you do an autopsy on an animal. And to do an animal necropsy, you certainly wouldn't do it on the dock, unless you had a lab or a setting next to the dock where you lay the animal out and you do it properly by weighing and measuring. So back when this film was made, they absolutely would have put the shark on display and said, look, here's the man-eater that's been terrorizing the beaches. However, today, fortunately, that's not the case in the US and many other places where sharks are protected, because since this movie came out, there are 75% fewer great white sharks in the ocean, largely because of fear, misinformation and movies like this. But fortunately, this movie is what inspired me to grow up to be Matt Hooper. So it did good. Peter Benchley, who wrote Jaws, is a marine conservationist. He spent his life as a conservationist for sharks and the ocean. Didn't realize what a bell he would ring with this one. And the film was just so good and so suspenseful. It made us all afraid of sharks. This clip is from Deep Blue Sea, directed by Rennie Harlan. How long have they been synchronized like this? So the whole lab set up and genetically modifying sharks, that is pretty absurd. I can't imagine anyone funding that for starters, making sharks smarter. I can't think of a reason to do that without doing other research first. So the whole notion of genetically modifying sharks to be smarter and work together and mind control. This reminded me of the Aquaman cartoons when I was a little girl where he would just telepathically get animals to do what they wanted. And I think I bet the writers and Aquaman fan too. Tell me I didn't see that. They recognize that gun. An interesting thing a lot of people don't realize is that sharks are skittish. Most wild animals are skittish. They all have personalities and you'll come across some who are curious and others not so much. Generally, though, a wild shark is skittish of something that's not its food or it hasn't seen. For example, it would not recognize that there's a gun pointed at it or that a person is doing something in its harm because that's kind of not part of its world. I myself have been surfing and because a great white shark can't see directly in front of them or directly behind them, soon as it turned a touch to see me, it was gone, just super skittish. And I've seen this behavior with all types of sharks, nurse sharks, black tips, reef sharks, hammerheads. I've had more of them swim away from me than I've had come toward me. Tough guy. Oh, he got it. I'm not quite sure what he shoots into the shark to make it just pass out like that and go up and all that's really silly, so it's kind of not feasible at all. This is I would say this is almost 100 percent fiction. Next up, still starving. We almost had that all fleeting, friends. Come on, let's get this over with. This is Finding Nemo directed by Andrew Stanton. Right then, the meeting has officially come to order. Let us all say the pledge. I am not a shark, not a mindless eating machine. If I am to change this image, I must first change myself. Fish are friends, not food. What I do love about Finding Nemo is they try to portray a different side of the shark with the fish are friends, not food. I can't tell you how many students have said that to me because of Finding Nemo, and I think that's great because it's showing that, hey, look, the sharks are trying to care. We should care. And I think it's trying to send a bigger environmental message. But showing you that sharks can be, quote unquote, humanized to where they're cuddly or friendly, which is why conservation is hampered because they're thought of as eating machines, killers, et cetera. So this humanization, if you will, I think was great because it kind of gave kids a less scary intro to sharks in a way that wasn't so much like, yes, they're going to eat you no matter what. Now, do you all have your friends? Got mine. I'm going to go ahead and show you a little bit of a picture of the shark. So this is a very symbiotic relationship with other fish. You'll see pilot fish and you'll see remora stuck to the bottom of sharks. So those are both kind of really great symbiotic relationships. The pilot fish and the remoras are not part of the shark's food. They don't think to eat them. So they hang around and get protection from the shark and pick up scraps. They're very specific eaters. Great whites, hammerheads, everyone. They have their specific niche in the food and they eat everything. So they do have relationships with other fish. That's mine. Get me out. Oh, I'm sorry. Are you OK? I'm so sorry. You really clocked me there. You want bleeding? Oh, here we go. Oh, oh, that's good. Intervention! The little tiny bit of blood that goes into Bruce's nose and he inevitably is drawn into a frenzy, which is one of the best shark myths that scares everybody. And I have to say, I've used it to my advantage before to get people out of the lineup surfing. Oh, you have a cut. You better get out. More waves for me. But honestly, if I could cut my finger, stick it in the water and have white sharks or any other shark come to me, imagine how easy my research would be. How easy it would be to attract them. The truth is there's a whole cacophony of smell out there. And while sharks can detect a small amount of blood in an Olympic sized swimming pool, that doesn't mean that's what drives them to go and eat. Great whites in particular are very picky eaters. They don't simply eat everything. It's a little more complicated than that. They're not just indiscriminate eaters. Yes, tiger sharks and bulls are sometimes known as garbage cans of the sea and they'll eat everything. White sharks far more picky. So every shark has its specific food. And again, we have another clip from Jaws. Oh, I lost the spear. So the shark in Jaws is a great white and we do cage dive or use cages to observe great white sharks in the wild. However, most of the time the cage is attached to the back of the boat. There are those that go down by themselves farther into the water, but they're not as flimsy as it appears. The shark simply bumped into it and the cage falls apart. It's far safer than you think. And interestingly, I have never seen a great white or any other shark attack like that. It seems like in movies they're made to, like, act like a dog. I've seen them, like, take something and or like keep going and I don't know. And that's just not how a great white shark feeds. So the shark is a bit unrealistic, quite a bit unrealistic in the film. Now, if the shark actually did get in the cage and presented danger, he could feasibly go down into hide in a coral area in Southern California. You can hide in a kelp bed, maybe you can hide in some rocks. So that's feasible. That part is more believable than the shark. Marcel, we have a real problem here. It is not a problem. It is a circle of life. This is Couples Retreat directed by Peter Billingsley. The circle of life is circling our lives. Now, do not move. Do not panic. Shark! What? Jason! It's all happening Marcel. Oh, my God. Oh, my God. Oh, my God. Oh, my God. Oh, my God. Don't worry. Their reactions are so over the top and unnecessary. It's absolutely fantastic. And I've actually seen people afraid of tiny sharks. Now, the fella in the movie calls them lemon sharks. They look like they're in really tropical, beautiful waters. And I've seen lemon sharks. And that water. And I actually have video of one coming just as close to me and minding its own business. So those little guys were checking them out and would absolutely do no damage to them. Sure, there's times where you'll hear a shark has bitten a foot or taken a nibble off of somebody. But the way those little guys were, I mean, honestly, they were in no danger whatsoever. And that was my guy out there. I'd be like, OK, we need to sit down and have a talk. I'm going to take him cage diving. And I'm going to go in with 18 foot great whites to get that fear right out of them. Stop. He said not to panic. I'm sitting in blood. I'm sitting in blood. Marcel, this isn't a drill, buddy. You got real sharks here. It's time to get the guns and it's time to shoot some fish. So let's talk about the word attack. It is used in a lot of situations where it isn't actually human and shark interaction. You can go to the International or Global Shark Attack file, search it online. And download the Excel file yourself and see that sometimes a bump and run. As I said, I was bumped by a leopard shark. I was never in any danger. It was turbid water trying to figure out if I was food or not. Boom, wasn't it left? That would be classified as an attack. Nothing wrong with my wetsuit. Nothing. This also may be characterized as an attack. And there has to be something done about that. And there are some researchers, including myself, trying to get rid of the the attack scenario where everything is an attack and not just an encounter. So I had an encounter. These gentlemen are having an encounter with these sharks. This is not an attack. The one actor dumps in and leaves Vince Vaughn there with all the blood really is a non-issue, but Vince Vaughn should get out of the way because there's little bits of food in there that they were feeding the shark. So it's not necessarily the blood's going to attract them right away and everything. But if there are bits of food in there, you know, get out of the cloud of food. Dumb dumb. Swim a little bit. But they really weren't ever in any danger. So they were just letting all their fears tip the best of them. This is The Meg directed by John Turtletop. This is allegedly a big research thing of some kind. The shark would already know it's there. Not only does it have lateral lines, so lateral lines on fish are those things that they go down the sides and it allows them to feel vibrations. And sharks have this. And it's why, you know, you'll see schools of fish schooling. They can feel the vibration of the other fish and by vision as well. So vision and the lateral lines, their ampullae of Lorenzini, these are all things that allow them to hunt. And their vision is not that bad. So if it was dark, if it was turbid, meaning there was a lot of particulate in the water, a lot of wave action, sure, something could happen. But this thing in the water should have been there for a while. And this big, ginormous shark trying to take a bite of this tiny little girl is incredibly silly. I mean, if there were a whole bunch of kids, like you got a whole bunch of potato chips, I could see going by and tasting one. But for the shark to do that, that was that was pretty absurd and something I don't think would happen. In the mag, it's really ridiculous. The shark would try to bite that glass where the little girl is, because if you recall, the shark came from way down deep in the Marianas Trench and had never been up above a certain layer, so this shark would have really bad vision because you don't really need vision down where there's no light. You hunt by other means, et cetera. Your vision doesn't have to be that great. So the fact that it was dark around there would have nothing to do with that shark eating that little girl or trying to eat it, it would not go after it because it certainly doesn't look or sense or smell or sound or feel like any food it's ever had. They'd be afraid of it. Be away from that. Next up, we have Baywatch filmed right here in beautiful Los Angeles County. So they definitely had a lot of fun filming this. The entire thing is an homage to Jaws when Michael Brody was in the pond with his little kid friends in a boat and they got knocked over. All his friends swam away and he sat there and the shark went by him just like in this. So the writers of this, to me, this whole clip is just a fun. We really loved the movie Jaws and we're going to be as absurd as possible and make up all kinds of nonsense about a shark attack. The whole absurdity is I could see everybody. Shark, oh my God, out of the water, out of the water. I could see people panicking and that happening. But I can't imagine a lifeguard getting in the water where the lifeguard boat is right there and could get to them far quicker because when you're trying to be a lifeguard or a first responder of any kind, you don't kill yourself to save somebody else. You have to make sure you safely save someone. It's part of their training. The fact that lifeguards, especially Los Angeles County lifeguards who are part of the fire department, they're incredibly trained, would run out into something that was dangerous like that if for real, that little tiny shark that looks like a dolphin in some shots was actually going to attack. If there was some real danger right there, they would bring the boat over there. Now, the other silly thing is, OK, she swims out, she gets to him, turn the boat over, get on the boat, get your limbs out of the water if you're so worried about him. But really just swim calmly to the boat because the shark isn't going to keep coming after you like that. And the other homage to Jaws was when Jill does get eaten and she's taken through the water and just the top part is out. That's just like the very beginning of the very first Jaws where Chrissy, if you remember, she's screaming, no, it hurts. It hurts. And, you know, and then she lands on the buoy before she goes down. And so this was a giant love letter to the movie. Jaws just is over the top absurd, probably a really fun shoot to do. This is The Shallows, directed by Wame Colette Serra. If the shark in this movie is supposed to be a great white shark, they're picky eaters. I've witnessed myself them accidentally taking a bite of something that wasn't their normal prey and spinning it right back out. So the notion that they would fight so hard to get this small morsel that is not calorie dense again in the wild. Survival means calorie dense meals, which is why they love seals and sea lions, because their blubber is not like human fat. It's super dense. It's a whole other organ, which is why it's called blubber. And not fat. I don't care how big and fat a person may be. We're still not sharks food. They don't want you because you look like a big meatball or whatever. They want the calorie rich food because they don't know when their next meal is. So it's like any other animal in the wild. You waste a certain amount of energy to get the food. So the amount of energy that shark wastes jumping out and hurting itself is not worth the payoff if it got to eat her. The shark going up on the rock and in the coral probably would be pretty abrasive. I'm an animal. So movies where the shark comes up and is bite bite. It's just not their behavior. I've never seen that happen in the wild. And I've seen that meat stuff in the wild with my own eyes. This is Open Water directed by Chris Kentis. Are you OK? Are you OK? I don't know. Oh, my God. Oh, my God. Honey. Oh, my God. Are you sorry? Yes. So Open Water. The most frightening movie out of all these movies today. So it's based on a true story. Two divers did actually get left behind on a dive and they were never found. So the movie is speculating kind of what they went through. I mean, I'm getting chills thinking about being left behind on a dive boat. That is the scariest part of this movie. And anyone who's a diver, research diver or commercial diver or just for fun. That is the most frightening part. Oh, shoot. And then the next most frightening part is the little shark bite and how this happens actually on the feasible side, the shark took a bite like, yeah, this isn't my food and took off, so that makes it really feasible and believable, which makes it entirely frightening and the fact that divers do get lost on dives is a thing that happens. Unfortunately, this clip is very feasible. It could definitely happen with certain conditions. So it's the most realistic. This is Bait directed by Kimball Rendell. So sharks don't feed at the top as much as previously thought. In fact, a paper just came out about this very recently. They spend more time down below, being that their food isn't on the surface. However, if a shark was going to come up and take an entire person, it would be very quietly, much like that fella that just was swimming and whoop, he's gone. But I don't know what that explosion was afterward. I'm not sure what that was, but I could definitely see someone being dragged down if the animal thought that was food and took the person in. But again, we're not their food, so we don't look like their food. So it's really unlikely. Shark! Shark! Shark! Shark! So sharks in South Africa and other places actually come up from the bottom and surprise attack. I've actually seen them do this in Guadalupe Island, Mexico, with my own eyes, looking at one shark behind you, another one goes up and grabs something. So they do come from the bottom and just... So that's part of their strategy. Go swimming, everybody. Did I scare you enough? But at any rate, they took the shark jumping up out of a cliff and out of a cliff, and they did a really nice job. And I think that's a really cool thing about this film. They did a really good job of showing the natural behavior that sharks in South Africa and other places have done to get seals and sea lions. So that behavior is something that they over-exaggerated for this clip. But once the shark ate the guy, he probably realized that's not food and probably would be so excited about this guy. Again, it's all a big, absurd, really quick, oh my God, there's a shark! He's eating everybody! 宙 지는 것 . We have to show up before the 1995 Wingardium 200立幕 0521-963-koutougso trial site something without a straw, you can do it too.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water'  Vanity Fair.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water'  Vanity Fair.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water'  Vanity Fair.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water'  Vanity Fair.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nLeonardo Silva Reviewer's Name Reviewer's Name Hi, I'm Lynn Franklin. I have one question for you. How would you like to be a mind reader? Yes! Because part of me is thinking, I bet your mind's thinking, that's not going to happen. Here's the truth. People's brains process information, they think, in three different ways. And their body language will tell you all day long what their primary style is. You just need to know what to look for and what to do when you see it. And it's not one of those where she's leaning back, her arms across, she's frowning, so she must be unhappy. It's actually understanding how their brains work. And then presenting your information in a way that people can see it, hear it, and feel it. And increase the chances that they'll say yes to whatever you're proposing. And also decrease the chances that you'll do something stupid. Like this. Back in my 20s, before I knew any of this stuff, I had a client who was a corporate controller. And he would sit across from me in meetings and he was always looking down with the occasional glance up. And I thought, okay, well he's a numbers guy. He just feels comfortable looking at the numbers. And then as time went on, I thought, well, you know, he's just socially inept and he doesn't know how to give me eye contact. And finally, because I was young and stupid, I thought, every time he's looking up, he's looking at my chest and I'm offended. And there was one point I actually went to a meeting and went, excuse me, I'm up here. Ooh, yeah, talk about judgmental. Here's the scoop. This guy's brain worked in a way that he was never gonna give me eye contact. And no matter how many times I modeled the behavior I wanted him to use, all that did was make both of us feel uncomfortable. So how can you tell, how can you read people's body language to read your minds? We're gonna show you right now. And that means I'm gonna bring out our first body language model, James. Thank you, James. James represents 75% of the world. You didn't know this about James, but James is a looker. What that means is that James's brain thinks in pictures and images, in pictures and images. And here's how we can tell that James is a looker from his body language. First thing, he stands up tall, he has good posture. Second, he's dressed well because apparently, he's dressed well because appearance is important to lookers. The next thing you'll notice about James is that he holds a little stress in his shoulders. Lift up your shoulders a little bit. Yeah, he holds his stress there. Next thing, you'll notice he has wrinkles in his forehead because James looks up when he remembers something he has seen. And he looks up more often than most of us do. Next thing you'll notice about James is that he has thin lips, suck them in. And you know, this is a chicken and egg thing. I'm not quite sure why lookers have thin lips, but most of them do. And the other thing about lookers is they give you lots of eye contact. Look at him, look at him, look at him. All of them. Look at all of them. Thanks, James. Okay, now that you know that James is a looker, here are the two things you do to build rapport with him. The first is that you give him lots of eye contact because he literally believes if you do not look at him, you are not paying attention to him and you are ignoring him. The second thing you do with lookers is you give them words that have a visual component to it. I see what you mean. Or look at this. Or let's picture working together this way. So you use the type of language that is going on in James' brain. Those are lookers, 75% of people in the world. Our next body language model is MARGE. And MARGE represents 20% of the people in the world. MARGE is a listener. What this means is that MARGE's brain thinks in words and sounds. In words and sounds. And this is the body language that you will see in a listener. First, MARGE, not as well dressed as James because appearance is not as important to her. Sorry, MARGE. Next, MARGE has a tendency to look down and to the left because that's where you look when you are remembering something you have heard. Next thing you'll notice about MARGE is that a lot of times she'll put her head in her hand. It's called telephone posture. Other things you'll notice about MARGE is that she has a tendency to mumble to herself. Go ahead and mumble. I thought they had it figured out. I don't think so. Not that she's crazy. It's that she thinks in words and sounds. So she's literally talking to herself. Another thing you'll notice about MARGE, yep, she's the pen clicker and the banger on the pen on the table. These are listeners. 20% of the people in the world. Thanks, MARGE. You want to appeal to listeners. You do two things. First thing, you do not give them lots of eye contact. It freaks them out. That's exactly what was going on with that corporate controller. So what you do is that when they're speaking, you look at them and then you look away. And when you're speaking, you look at them and then look away. The second thing you do with listeners is that you use words that are auditory. That sounds good to me. Or let's talk this over. That's the type of language their brain uses, so you're using that to appeal with them. Listeners, 20% of the people in the world. And our final body language, our final body language model is Marina. And Marina represents 5% of the people in the world. Give her a round of applause. Marina is a toucher. Not what you think. What that means is that Marina's brain thinks in feelings and tactilely. In feelings and tactilely. And here's the kind of body language you will see in a toucher. First thing and the biggest tell on touchers is whether or not they've ever met you before in their lives. They are ready to hug you. Second thing you'll notice about touchers is that they are dressed for comfort rather than style. Next thing is that they have full lips. Give them big lips. Same thing. I know. More touchers have full lips. Next thing you'll notice about touchers is that they have a tendency to lean in because they are trying to decrease the amount of physical space between you and them and build rapport that way. Touchers also have a tendency to reach out and touch your arm when they're in conversation with you. And touchers also have a tendency to look down because that's where you look when you're remembering something you have felt. Thanks Marina. All right. You want to build rapport with touchers, 5% of the people in the world? Here are the two things you do. If you feel comfortable, let them touch you. Appropriately, please. But if you don't feel comfortable, because a lot of us, if you've never met somebody before and they're ready to give you a bear hug, you know, the last thing you want to do is go... Because we've all done that and it does not build rapport. So if a toucher is coming at you and you don't feel comfortable, stick your hand out. Give these people a point of contact with you. That's what they're looking for. The second thing you do with touchers is you use language that either has a feeling to it or is tactile. So, I want to hear how you're feeling about this. Let's get in touch. Reach out and tell me what you think. That's the kind of language that appeals to touchers, people who process information in feelings and tactilely. So, if you feel comfortable, you can use a word like, I'm going to read your mind again. And you're probably thinking, so which one of these three am I? Let's figure that out right now. What I want you to do is close your eyes and remember an important memory. Now, this could be something from your childhood, maybe your 10th birthday party. It could be something that happened to you last week. So, an important memory. Now, I want you to pay attention to how you're remembering it. Are you remembering it like a movie or a series of pictures and images? Are you remembering it by hearing what people said or describing what happened? Or are you remembering it how you felt or how things felt to you? Okay, open up your eyes. How many of you remembered it like a movie? Right, most of you. How many of you are describing it to yourself, remembering what people said? Right, listeners. And finally, how many of you remember how you felt or how things felt to you? Right. Now you know who you are. That's the good news. Here's the bad news. You're going to treat everybody else as though they think the same way. And you've already seen how awful that can be when you're working with a corporate controller who has a different way of thinking. Here's my invitation to you. I want you to start paying attention to other people's body language, to figure out how they think. Because here's the magic part of it. Once you start presenting your ideas in a way that they get them, they will say yes to you more often. But here's the scoop too. I'm not asking you to become somebody else. Because you can't change how your brain works. It's true. You think in all three ways, but just the way you have a dominant hand, you have a dominant style. You can't change that. But what you can do is accommodate your language, both bodily language, both body and verbal, with the people you're with in order to build rapport, which allows you to reach the full spectrum of people that you're hanging out with. And here's the other magic thing. You don't even have to be in somebody's presence to figure out how their brains work. Interested? Right. All you need to do is listen to or look at the words they're using. So if you're in a phone conversation, listen for the words. If you're reading an email, look at the words. People who are lookers will use words that are more visual language. People who are listeners will use more auditory words. And people who are touchers will use more feeling and kinesthetic words. You don't have to be in that same space to know who they are. So here's my challenge to you. Go back and read some of the emails that you have sent. And you will notice, now that you know who you are, the kind of language that you're using. And it'll back that up. It happens with everybody. So, ten minutes ago, you didn't think you could read people's body language to read their minds. And now you know what to do. So, practice this stuff on the people at home, and the people at work. And when you do this, and when you use these tools to build rapport with all kinds of different people, you'll become the most persuasive person in the room. Thank you.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Reading minds through body language   Lynne Franklin   TEDxNaperville.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Reading minds through body language   Lynne Franklin   TEDxNaperville.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Reading minds through body language   Lynne Franklin   TEDxNaperville.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Reading minds through body language   Lynne Franklin   TEDxNaperville.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nOh my God, he just farted guys. Don't embarrass me in front of all these people. What's up GQ? My name is Ella Mae and these are my essentials. First off we have my phone of course. I feel like in this generation and in this 2020, if you can live without your phone, you are a very special person and I commend you a lot because I cannot live without my phone. The number one thing I do with my phone is FaceTime. I sometimes look at the time and be like, oh it's five o'clock, where did the day go? And I've literally just been on FaceTime the whole day. Whether that's to my mom, to my brother, to my best friend in New York, I'm always on FaceTime. It's terrible actually. So my second item is a Diptyque candle. I actually only recently got put onto Diptyque. My brother put me on, but Mustard actually really loves Diptyque candles as well. This is the vanilla flavor. My favorite one is actually the amber one, which is being discontinued and going out of stock. So I'm very sad. I'm very sad. They're quite strong in a sense of like, they'll leave, even if I blow the candle out, I can still smell the candle, but they're not overbearing. They're still subtle enough that you won't walk in my house and think that there's like a whole bunch of perfume. So they're subtle and strong at the same time, if that makes any sense. Even just like being in their store, it's very clean. It's very fresh. And your whole house will smell amazing if you go to Diptyque. I should be a saleswoman. This next one is the essential of all essentials in Ella Mai's world. I promise you, wherever you go, you will never not find me with five of these in my bag. This is Burt's Bees Moisturizing Lip Balm. This one is the coconut and pear one. It's actually not my favorite flavor. My favorite flavor is the vanilla bean one, which has a blue cap, but I promise you I have every single flavor of Burt's Bees. Some people might say it feels kind of like, it feels almost too thick because obviously it's beeswax. It's made out of beeswax. But I love everything the company also stands for. They're a very natural brand and it's very, very moisturizing. And it smells good. It's subtle again. It's a very subtle scent. I literally can't live without it. Like one thing I really, really hate is dry lips. If I'm speaking to someone and they have dry lips, it's the only thing I can concentrate on. So I make sure that I never put myself in that position by moisturizing my lips. Please people, moisturize your lips and do it with Burt's Bees. You can find it in our seven. This essential is my Fenty Beauty Lip Gloss. As well as the Burt's Bees, you always have to be moisturized underneath your lip gloss, but Fenty Beauty Lip Gloss is my favorite everyday lip gloss. I don't really wear makeup. I can't do it. I will look like a clown if I do it myself. So unless my lovely makeup artist is with me, then you'll really only get like some moisturizer and some Burt's Bees and some Fenty Beauty out of me. Not too overpowering, but it also gives you just a little bit of gloss. Other than the fact that it's Rihanna's lip gloss, obviously, and I love her, there's a lot of shimmer, which I think she has in a lot of the Fenty products, but it's a lot of shimmer, but like I said, it's not overbearing. So you don't look like you just rubbed your lips in car oil. It actually just gives you a little shine and a little gloss and it's not sticky. And the packaging is super cute. I'm a sucker for some packaging. Like I'll literally buy something if I like the color of the packaging. My next one is this little charm necklace. Has a key on it and the key has the number 21 on it. It has a R, it has a T and it has an E. So my best friends got me this for my 21st birthday. Hence why there's a 21 on the key. My best friends are called Rebecca and Tamara. So R, T and E for Ella. These are my best friends since I was three years old. I literally wear this every day. Obviously I have on my 10th Summers chain right now, but that's because I had to show you guys this. But on an everyday, unless I'm like going out and I wanna dress up, I will have this on. This is my everyday chain. I think it gives me a piece of home since I don't live in England anymore. Okay, so this essential item is probably very English of me. These are PG tips, English breakfast, tea bags, and all my English people watching this video. PG tips are better than Tetley. Thank you very much. I drink tea every morning like a true Londoner. Just a quick public service announcement on the PG tips. Because I use milk in my tea, in my English breakfast tea. If you're ever making me a cup of tea, you have to take the tea bag out before you put the milk in. Anybody who puts the milk in with the tea bag in the cup is a serial killer. Please do not do that. That's not the way it works. This item is some sea moss. I am Jamaican. My grandparents are Jamaican, so this is close to home. But I actually only just started using sea moss. It's very good for everything. Hair, nails, immune system, all of that stuff. Digestion, it's very, very good. This is already boiled and obviously prepared and ready to use. I put it in my smoothies. And it also doesn't taste like anything. But I know you can also use this as a face mask. My next essential is essential water. The overachieving H2O. I know people say all water tastes the same. It really doesn't. If all water tastes the same to you, you have not tasted essential water. It's really my favorite. I don't like to drink anything else. If I have a choice, of course. And I try to drink a lot of water, especially when I'm in the studio. But even just to keep my skin clear, essential water. See, water doesn't have flavor. But there's like some water that tastes like toilet water. Well, I've never tasted toilet water, so. I'm just being dramatic. I don't know what it is about this water, honestly. I couldn't tell you I'm not selling it very well. But it's just different. It makes me feel like I have superpowers. My next essential, thank you. This is Thierry. This is my two and a half year old French bulldog who clearly does what he wants. He doesn't listen, which is why he's halfway on this table. And no, you're not getting on the table. He's a little bit camera shy, clearly. Oh, there he goes. My dog is my essential because he's really like, this is gonna sound so sad, but he really is like my best friend. A lot of my friends don't live in LA. My family doesn't live in LA. So he's my little sense of like, just like a part of me, almost. His name is Thierry. I named him after my favorite football player, soccer player, American people call it, for Thierry Henry, who is actually French. And he is a French bulldog. Sometimes I feel like he owns me and I don't own him. But this is really my pride, my prized possession. If you want a companion, someone to like, just love and always have company and be by your side, you should get a dog. But it does require a lot of patience, I promise you. He's taught me a lot about patience because I'm a very impatient person. My Apple AirPods are an essential. I have a Frenchie case on it. This is Thierry. I don't understand how anybody travels anywhere or like doesn't have headphones. I can't live without them. I have to listen to my music. Like I said to you, I'm always on FaceTime. So I just have to make sure no one's in my business. No, I'm just kidding. My AirPods, I literally, I can't go without. If I'm usually listening to music in 2020, it's either some unreleased LMA or not another love song, my new single. But if it's not myself, to sound less egotistical, I would say some Lauryn Hill. I was listening to the Miseducation of Lauryn Hill this morning or some Bryson Tiller, his new project. Just a whole bunch of R&B, to be honest, in these AirPods. So that's a wrap on my essentials. Thank you guys for watching. Thank you, GQ, for having me. And I hope you guys all stay safe and go and check out my new single, Not Another Love Song.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Ella Mai Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Ella Mai Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Ella Mai Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Ella Mai Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nSo I have two phones. I should name them. What could we call them? Let's call this one G and let's call this one Q. Hey, what's up GQ? My name is Damson Idris, aka the CEO of the DSS, Dark Skin Society, aka the sexiest man to ever exist. Sexier than Idris Elba, Brad Pitt, Leonardo DiCaprio combined. I actually received Sexiest Man Alive every year, but I turned it down. These are my essential items. I am getting paid by everything I'm about to promote. My first essential item is actually these glasses. I walked in the store and I was like, I want to be like a black John Lennon. I used to buy a lot of expensive glasses and then I kept losing them. When I first got to LA, I used to drive a Mustang because that's the car you drive when you first come to America from London. And I'd put the roof down. I thought I was so cool. And then I was on the freeway and then boom, the glasses were just like, woo, bye. And I was like, oh my gosh, there goes all my money. So yeah, 20 bucks, man. But they're kind of cool. Like I think they're fly. What do you think? At number two, every black man's secret. This curl sponge. My hair is actually naturally curly. I came out the womb like this, but just to add some effect, you know, you put a little, little something on there. Back in the day, I actually used to cut holes into a sponge, like a normal sponge, that you'd like wash dishes with. I used to cut holes into it because that's what all the barber shops were doing in Peckham. And then boom, they just made it like this, like two different sides. And I don't go anywhere without it. Soccer ball. Yeah, I didn't have it anymore. There's something about footballs that kind of stimulates my mind, helps me learn lines so easily. I've broken so many scores. I've got so many sculptures in my house. When I'm learning lines, I kind of walk around the house, I have a football in my hand, and I just kick it about. I always wanted to be a footballer. When I was growing up, I supported Manchester United, the best team in the entire world. Listen, Manchester United, if you want me to play for your team, I would quit acting and come and play. I'd score so many more goals than Ronaldo. He's whack. He's not whack. He's not whack. Can you make this an E.G. obvious? Oh, hell yeah. I'm a bit of a stupider right now, but let's see what happens. I'm not going to lose my street cred. Let me mess up all this lighting. Oh, and that's why I'm now an actor. Peace. Altoids. I've only just realized it actually says curiously strong mints, which is kind of interesting. Curiously? Why is it curiously? I mean, we have like 20 of these a day. You know, we have intimate scenes sometimes. I often work with actors and, of course, and I play characters that are screaming in people's faces. I did this brick by brick scene in season three where I was screaming in Isaiah John's face. I built this shit. Me. Brick by brick. And I'll be damned if I let you tear it down. So Altoids came in handy. They also sound great. I'm really promoting this. Altoids. I'd like some free Altoids, please. That's why I brought this here. This black vest. I probably have like a hundred of them. I'm actually wearing one right now. I did a campaign with Calvin Klein. Sorry, I dropped the name on the floor there. Just pick it out for me, please. I did a campaign with Calvin. I stole a bunch of vests. I'm not a big fan of the black vest. They were like, you know what? I don't want to be a black vest. No one knows. They're probably going to find out now. If I'm not wearing whatever my characters wear, I'm probably wearing this. I'm not one of those celebrities who like wears a different outfit every day. Like that's crazy. Did I just call myself a celebrity? I'm a normal guy. And you're probably going to see this jacket again in some other interview, okay? I always read like the first 10 comments on my gram or whatever. And this girl was like, oh, he's wearing that jacket again. Yeah. What am I supposed to do? Give it to my nephew? Anyway, I love this vest. Yeah. Oh man. Look at that. This little guy right here. This is called Rob Lipong. It's actually Nigerian. And it's one of those things, you know, every culture has that thing that your mom like makes you put on everything. Like if you have a flu, like put some Rob on it. Like when my mom's case, it would be like, put some Rob on it. She's the one that introduced me to this. And she's always like, do you want some Rob? And I'm like, yes mama. And I take it everywhere with me. Next is my saxophone. Her name's Sheila. I named her after one of my cast mates wigs on Snowfall. I fell in love with the saxophone sound when I fell in love with Sade. They would always play these amazing sax moments in the songs. And then Fela Kuti would of course play the baritone. But I got an alto because I'm not as good as Fela Kuti, of course, nowhere near. I'm so bad at playing instruments, right? That when I was in school, I had music class obviously. And you had to play an instrument to get a grade. And I was so bad that the teacher was just like, Damson, just sing. I'm still learning. My aim was to learn, it's beginning to look a lot like Christmas. I kind of just got to this bit. So I'm nearly there. So I have two phones and one's pleasure and one's business. You know, as an actor, you're alone so much. You know, you're alone on a plane, alone in the back of a car. And this connects me to the world, connects me to my family who I love. When did you decide you should give two different calls? When I didn't want people taking my number. So here's the thing, right? We should talk about this. I feel like when you meet someone, right? And like you like them and it's like cool. And you like, don't ask them for their number. I think give them your number and like give them the opportunity to call you. So I have two numbers. This one is for the people I really fuck with. And then this one, if you ever asked me for my number and I give you this bigger phone, that one, that one, you know what time it is. Oh, hey baby, how you doing? You good? How you doing? You looking real pretty today, you know? So this is my wife. My PlayStation 5 has ruined the majority of my relationships. I play FIFA Ultimate Team, but more than anything, I play Call of Duty Rebirth Island with my friends. We're on headset screaming, always with the same group, man. Nair and Jamil, Lewis, Tossing, Kollar, Sam. Sam doesn't play because he's the father of 15. I've known those guys since primary school, man. I've known them since I was 11 years old. And you've been playing FIFA World Series 15? So in the last FIFA, EA like sent me like Pele, Ronaldinho and Maradona. Ooh, I shouldn't. I shouldn't say that. Yeah, celebrities are cheating on Ultimate Team, by the way, bombshell. We get free cards, okay? Ha ha. That's why you keep losing. This guy right here. It was recommended to me by a makeup artist. She was like, oh, Dearson, there's this amazing product. You should definitely use it. It'll make your skin look all glowy and nice and everything. And Kevin Hart uses it. And I'm like, but Kevin Hart ain't got glowy, I'm skin. I'm playing. I love Kev. Love Kev. It's called La Mer. I've been using it ever since. I've been using it for years. If any of you want to have skin that's like, use La Mer. And the real thing that matters to me is this woman right here, man. My mama. This was on her 70th birthday. She looks so pretty. She's my most valuable essential item. When I'm with her, I just feel safe. She's like my safety net. Everything I do, I do in her honor. I'm the youngest of six. And an uncle to 16 nieces and nephews. I'm now a great uncle, actually. And my mom is at the head of that empire. And hopefully I can bring that big Nigerian family here. LA's definitely going to be a lot louder when they arrive. So these are my essential items. Thank you so much for tuning in. Damp Sinitras. Over and out.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Damson Idris Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Damson Idris Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Damson Idris Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Damson Idris Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nShould I make a beat? Definitely. Essentials with Young Murder, you know? It doesn't get better than that. What's up GQ? It's your boy Murder Beats and these are my essentials. My number one essential today is my cook up set up where I make all my music. Alright, I'm about to build my cook up station, you know what I'm saying? I need my laptop. Just because if I did every one individually it's a little too much. What kind of laptop is that? A Razer. It's an interface. RME Babyface, you know what I'm saying? If you want to make beats like me, you gotta get a RME Babyface. It's a cord. You need one of these. Stray Beats portable speaker I stole from a hotel in New York. You can't find these anywhere like that. It's a Persian rug mouse pad so whenever you see this in a studio it's going down. Why the Razer instead of an Apple? It's just easier to get all the stuff. All the plugins and stuff on a Windows computer and that's kind of what I started on. But now I think they made it a lot easier to use Apple now for stuff because before FL Studio wasn't on Macs and stuff so people were partitioning their stuff. Yeah, it's taking a little four minute beat. It's not bad. My next essentials, slides. I always use slides all the time. Airports, in the house, out, studios, wherever I go, you know what I'm saying? I keep some slides on deck. Do you go socks with the slides or no socks? Socks with the slides, no socks with the slides. Depends how I feel, you know? I usually go socks. If I'm like in the backyard or going to the beach or going in the pool and stuff, obviously no socks. These are off-white. You can tell that they're everyday, like they're kind of worn out. Most of the stuff I brought today are like worn out because it's everyday essentials. Sometimes when I'm drunk or something it gets confusing. But yeah, they're like the wrong way. So yeah. I'm going to go with the Air Force. I'm going to go with the Air Force. I'm going to go with the Air Force. I'm going to go with the Air Force. I'm going to go with the Air Force. Next essential. Some YSL cologne, you know what I'm saying? This smells good. I like spray here and then like I'll get on both sides and then I'll spray here and get it right here and then I spray and like walk into it. It's a whole lot. Always, you know what I'm saying, everyday put some cologne on. You never know who you're going to bump into, what meeting you're going to have to run in on. Shout out my boy Capo. He put me on this cologne. You know what I'm saying? I don't know. Ever since, just been wearing this. Been doing a lot of good stuff in my life, so. I've probably been wearing this for about maybe like two years. I remember like when I was a kid, my mom would always get me like cologne for Christmas. So I'd like, I'd like put it on, but I didn't really like it when I was a kid. Karma, you know what I'm saying? Definitely need some chapstick all the time. Lips get chapped. You never know, you know, you just always got to make sure you look good. So. What makes the Karma X better than the rest? Honestly, it gives it like a little like cool feeling. I like that. It's not bad. It's a cool feeling. It's a cool feeling. It's not bad. It's a cool feeling. It's not bad. Go Yard wallet. Gotta keep your cards and your ID and some money. And you know what I'm saying? It's definitely a big essential. I actually had it a couple of years ago, but then someone lost it. I had stuff in my old one. I think a picture of my parents. Nah. My boy, Brian. What happened? I don't know, man. I don't know. Go Yard back then, I always wore my old car. I always wore my old car. I was like, man, this is the best I've ever had. I don't know, man. It's like, you know, I just. You're like. What happened? I don't know, man. I don't know. Go Yard belt. This is actually a really cool piece because this is discontinued. I bought this a few years ago. As you can tell, it's kind of worn out, but I wear this almost every day. I have other belts too, but this is just my go-to. You can't really find them anymore, you know? My next essential is some earbuds, Dre Beats. I don't know, I like these just for planes and stuff. I always wear these on the plane. I always fall asleep with them in my ear and stuff, so I know other people got the other ear pods and stuff, but I definitely lose those. And how I found out about these specifically, I was on the Revolt panel two years ago, and they gave me these as a gift. And then I just loved them. I just started using them all the time. I've lost them a bunch of times, got new ones. So shout out to Revolt, shout out to Diddy. What are you listening to right now? Man, I listen to a bunch of rap music and stuff, and if I'm just trying to go to sleep, I'll put on some Spongebob. I like spa music. What did we do search for spa music? Spa music? Yeah, Ocean's Common music or something. I don't know, I actually like it a lot. It puts me in a great zone. Do you sleep up next? Every time I'm on a plane. Why do I want to be up on a plane? It's like, there's turbulence, like, it's crazy. I'd rather just go to sleep and wake up in the next city. It just makes sense, you know? The next one, keys. You got the Baldwin key, for who knows what this key is, you know what I'm saying? The Baldwin key, car key, Lamborghini, Lambo truck, you know what I'm saying? When did you get it? Last year, when it came out. Love it. What was your first car? My first, first, first car was a Cobalt Mercedes Benz C-Class. What's your favorite of all? I don't know, I like the Cobalt. No, I'm joking. Portable Xbox, it's pretty dope. I'm not gonna lie, I like it. I like it. I'm not gonna lie. I like it. I like it. I like it. I like it. I like it. I like it. I like it. I like it. I like it. I like, bring this like, on the road all the time. The TV, so you know, I can game wherever I want to game. What I'm playing a lot now, I play a lot of PUBG, Call of Duty, Madden, 2K, all the sports games and stuff. I still play the old Fight Night, I have like the 360 version. I used to be PlayStation, PS1, PS2 and then I got an Xbox and from there 360 up to Xbox. The next essential is a watch. It doesn't matter what watch it is, it could be any watch. It's always good. Like, as a man, have a watch on, check the time. You know, there's actually stopwatch too, so if I need to time someone or something, you know, I can time, you know. Keep your time set right? No, honestly, I don't. I could use it for like, other things. Like, how deep I am in the water. My phone. So my phone, you know, I can tell the time. If my watch isn't set. What's your favorite app on your phone? I think Twitter's my favorite. I like this motivational quotes page. Lastly but not least, this is probably the most important one. God, you know, my best friend. You gotta have him with you. Keep God first at all times, you know what I'm saying? Get you through your day, hard day, good day. But always thank God no matter what. Through good and bad. You're having a good day, bad day, always thank God. He should be right up there. Ding, you know?\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Murda Beatz Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Murda Beatz Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Murda Beatz Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Murda Beatz Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHello, my name is Peter Meineck. I'm Professor of Classics in the Modern World at New York University. And today we're going to be breaking down Greek and Roman mythology in TV and film. So this is a scene from the movie Aquaman. This is the lost trident of Atlan. Oh, I know the story. It's more than a story. It's real. When King Atlan ruled over all that was, when the kingdoms of Atlantis were one, it was a time of great prosperity and technological advancement. We had unlocked the secret of unlimited energy at a time when the rest of the world still thought the Earth was flat. There is no other Greek myth that perhaps has seized the imagination more than the story of Atlantis, where people are actually still physically looking for the place. This movie does a beautiful visual job, actually, of showing us Atlantis. But the reality of Atlantis, it only exists in one place, and that is actually in the dialogue of the philosopher Plato from about 360 BCE, where he's basically having three of Socrates' friends talking about the ideal city to live in, this highly technological superstate that had a great navy. And in Plato's story, it attacks Athens, and it's Athens that actually defeats Atlantis. And then Poseidon is made anger, and he actually does destroy Atlantis, and it kind of falls beneath the sea, and everyone's been looking for it ever since. But clearly, it's a movie that's a bit more of a metaphorical story. But it does draw, I think, on some real things that were happening in antiquity, referencing the Phoenicians, who were great sea traders. It also might mention some of the North African peoples who were also trading and had large navies. I think you've got to see Athens and Greece in particular as being in the center of the Mediterranean. And, you know, a good 50% of the Mediterranean coastline is the coastline of Africa. So I actually think most Greek mythology connects the Greeks both with Africa and also with Mesopotamia. But I certainly don't think that a place called Atlantis ever actually exists in reality. But it's a great example of how myths work, right? You tell a great story, and people will actually believe it. This next scene is from the movie Immortals. That was very strange, actually, and I have lots of feelings about it. Clearly, it's supposed to be Theseus and the Minotaur. The Minotaur, of course, was the mythical offspring, half human and half bull, of Crete. Theseus is dispatched from Athens to destroy the Minotaur because the Athenians have been regularly sending their young to be fed to the Minotaur in the famous Crete labyrinth. That looked like it was a human figure wearing some kind of Minotaur headdress. I was very excited to meet the Minotaur when I heard it. I was snorting. But then I was very disappointed when I actually met the Minotaur. I was like, oh, my God, this is a real human. So this bow that he reveals from this rock is not attested in the Theseus myth. There is a story that Theseus, who grows up in Troisen and doesn't know his identity, does find his father's sword, which is embalmed in a rock. So maybe that's where the screenwriter is getting the idea. But Theseus is not traditionally associated with a bow. Heracles, Hercules is associated with a bow. So I wonder if they're kind of conflating the two here, because the bow of Heracles is what has these magic arrows that never happens. The bow is a really interesting instrument in Greek mythology. Certainly in the classical period, fighting with a bow was considered as dirty fighting, like a sniper. You hide behind a rock, you pop out, you fire your arrow, and it was considered ignoble. Weapons in mythology always have great power. Most of these stories probably come up from the Bronze Age, what's called the kind of hero age, the age of aristocratic warriors. If you had enough money and wealth that you could afford bronze weapons and you went against some guy with a pitchfork, you're going to win, right? Because you've got a bronze weapon or you've got bronze armor. Guy you're fighting has just got a wooden club. So the weapon always has great talismanic power. Even today, if you talk to any warrior, you talk to any modern soldier, you know, they sleep with it. They clean it. It's absolutely everything. This next scene is from the movie Jason and the Argonauts. I think it's a really great retelling of the Jason and the Argonauts myth. The movie does a pretty good job actually of sticking to that. It changes the order of some of it. The story tells us that the King of Colchis has some of these teeth from the serpent or the dragon, depending on which version of the myth that you read. Those teeth are used and thrown into the ground and they produce the sewn men, the spartoi. They're not described as skeletons in antiquity. They kind of come up as fully formed men ready to fight. The version of the myth that most people know, Jason takes a large rock and throws it in the middle of them. And they all start fighting each other, thinking that one of them is thrown a rock at the other one. And that enables Jason and Medea to get away. A hydra is a many headed creature that is associated with water, right? Hydra. Heracles fights the hydra in one of his tasks. And each time he chops off one of the heads, another head grows back and he has to find the kind of central head and bury it under a rock. And we think that that's an age logical myth for irrigation. You tame the main body of the river and then you allow the riverlets to come out and irrigate your land. And so that's where we think the story of the hydra comes from. In terms of special effects, Jason the Argonauts was way ahead of its time. I think it holds up. I think it's still a great movie. This next clip is a scene from the TV show Xena Warrior Princess. Xena! Alfred Prometheus! Yeah, I have no idea what that was, but it was fantastic. The one thing that always was interesting about Xena is the way that she does this ululation, she goes, whatever, she kind of goes into battle. But actually, the women's ululation was a kind of sound of female power in Greek antiquity. And women would perform this thing in choral groups together. And it was a very powerful sound. So it's interesting that that kind of found its way into Xena. But there's the Amazon trope, the attributes of the Amazon fighter. And she's good at it, right? I mean, it's weird. And was that a pterodactyl in it? I don't know. And who are these guys coming out of these pods? I have absolutely no idea. I would not use the term accuracy at any point in Xena, Warrior Princess. But it doesn't matter because it's fantastic. This scene is from the movie Troy. The depiction of fighting and warfare in this movie was kind of very unsatisfying. You seem to have two mass armies fighting each other, thousands of men on each side. Then you have these guys in chariots. So why is this not a chariot war? I know if I had 20 chariots or 30 chariots, I would use them to kind of run down the infantry, which is what chariots are used for. But the chariots are used rather like kind of taxi services. They're like Ubers. They deliver the aristocrats to the battlefield. And then counterintuitively, they get out of the chariots. And then they have these. They're one-on-one battles. There's really nowhere in Greece you can have a good chariot battle. You need a huge plane for that. What we think we get in the Iliad is a memory of ancient chariot warfare that comes from Africa or from Anatolia. But chariots were regarded as high status. So chariots get put in there. This next clip is from Percy Jackson's Sea of Monsters. Seven years ago, four of these children were headed to Camp Half-Blood, the only place on Earth that is safe for our kind. And they were sent to the island of the Sea of Monsters. Keep going. I'll hold them off. No. Over here! Talia, come on! No! No! Please stop! Stop! Stop! Stop! Her name was Talia, and she gave her life to save three. Her father, Zeus, found another way for her to live. Talia. Talia. To ensure no one in Camp Half-Blood would die the same way. The barrier. To protect them from those who lived for their death. So the Percy Jackson books and movies, they're very successful in their own right because they kind of transpose Greek mythic material onto kids' stories and stories about their anxieties about their identity and their parents and their behavior and their rites of passage. If I look at them as someone that studies mythology, I think they work really, really effectively. They're not that close to most stories of Greek mythology. But I think that's their success, actually. I think they've kind of broken the bonds of it and are telling their own stories. And you're kind of seeing everything through these kids. We do know, of course, that Achilles was educated by a centaur, Chiron. So there is this idea of going off into the wild to being educated. The Percy Jackson movie definitely adopts that. One of the things in this clip that isn't so obvious at the beginning but is really powerful, is the idea of sacrifice. Talia kind of sacrifices herself for the group and the gods sort of look down on that. And actually sacrifice, particularly human sacrifice, is all over classical myth. We see, you know, the sacrifice of Agamemnon's daughter, Ephigenia, to get good winds to sail on Troy, and also animal sacrifices to the gods. And so we see lots of these myths imbued with stories of sacrifice. And of course, contemporary world religions today also have their own images and myths. And one can think of Abraham and Isaac, the image of Jesus being crucified. So these things have come down to us. And, you know, you can see them operating here again, where this character Talia is being sacrificed for the greater good of the group. Myths are the most relevant things because facts can be debated, interpreted, and argued over. But if you tell a story to somebody, you're trying to communicate something important to that person. So when we study ancient myths and the reason they're told, we can actually learn a lot about that culture. We can learn a lot about ourselves as well by the myths that we have. We have a myth of the American dream. What does that mean? Our myths are as important as the myths are in antiquity. I'm Peter Meineck, Professor of Classics in the Modern World at New York University. Thanks for watching.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Mythology Expert Reviews Greek & Roman Mythology in Movies & TV (Part 2)  Vanity Fair.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Mythology Expert Reviews Greek & Roman Mythology in Movies & TV (Part 2)  Vanity Fair.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Mythology Expert Reviews Greek & Roman Mythology in Movies & TV (Part 2)  Vanity Fair.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Mythology Expert Reviews Greek & Roman Mythology in Movies & TV (Part 2)  Vanity Fair.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nNext I've got my trusty air... What's up GQ? I'm Camila Cabello and these are my essentials. You have no idea who I'm looking at right now. So my first item will be, well it's kind of two items, but I think of it as one. So I always have a book that I'm reading. Right now I'm reading Braiding Sweet Grass and I'm right here and it's a book about indigenous wisdom, scientific knowledge, and the teachings of plants by Robin Wall Timmer. And it's already like I think probably my favorite book I've ever read. It makes me feel really grounded. And I also always have a book that I haven't started because if I'm on the plane or if I'm somewhere, usually I'll have another book if I'm closer to the end, but if I finish I want to have another book already ready for me wherever I am. I've tried. I've tried Kindles and I've tried reading on my iPad as well. I guess if it was a conscious sustainability environmental thing I would move to a Kindle or an iPad, but I'm kind of old school in that I love the feeling of a book. No technology, just me and the words that somebody wrote. This is kind of like my singing goodies. I've got this Manuka honey, which is so delicious. It's actually like dessert. I'm going to have it right now. Mmm. It's so good. Just honey. Throw coat. Singer's necessities. Grether's pastilles. Also singer necessities. And this is a brand new box of Entertainer Secret Spray. And this I will use if I like, the other day I did James Corden Crosswalk the musical and I just had absolutely no voice. And that is like the most stressful situation. Ever for a singer when you have to sing and you're like it's not coming out. And this is kind of like a little miracle. I don't use it all the time, but dry throat and hoarse voice and it just will kind of throat, what? Coat. No coat. So that's my little singer's pouch, which I don't have with me all the time because I don't sing every day. And thank God because I lose my voice a lot. I really like this water because it's waterific. I love it. It's like a super sustainable company and it's not plastic. I'm slowly kind of looking at my life and being like how can I make choices that are more environmentally conscious and sustainable, especially with the climate crisis and things that we're experiencing nowadays. So if I can have like two of these in a day, then that's really good. I would just never drink water. I don't know how I like survived honestly. I call this little lady. Actually, I don't know if she's a lady. I think she's non-binary, gender neutral. Sometimes I call her Miss Patty. Sometimes I call her Patty. People think it's funny, the relationship I have with my iPad. I got it during the pandemic because I had this obsession with reading articles and I love reading the New York Times and the New Yorker and I don't have any social media on my iPad. It's purely recreational. Sketching stuff, even though I'm not good at it or YouTube, I use it for studio sessions a lot. And I collect stickers. And I put it on Patty. And whenever I lose Patty, my friends make fun of me because I'll always be like, Patty, where are you? So I have a very close relationship with my iPad. It's brought me a lot of happy and a lot of knowledge. Next I've got my trusty airpods. I don't lose sunglasses, but I lose freaking airpods. This is a really bad habit of mine. I think it's because, especially on planes, like I will take them off and then I'll fall asleep. And then they'll fall through the cracks of the seats and then I can't find them. And Sean always gets mad at me because I always steal his airpods and I'll rename them. Like Camila's airpods. Then I'll be like, these aren't your airpods. They say Camila's airpods. And he's like, that's because you renamed them. And I'm like, touche. So this one is my airpods, but I have lost one. What am I listening to right now? I'm very late to things. So sometimes something will be popping and I will discover how good it is like two years later. And I just listened to Doja Cat's Her album, which I'm a huge fan of. And I listen to a lot of Latin music, a lot of C tangana, a lot of Bad Bunny right now, a lot of reggaeton. Sometimes I go in just like these moments of just like being in a cave when it comes to pop culture and I don't know what's going on. And then I'll emerge and I'll be like, guys, Doja Cat is amazing. And they're like, yeah, we know. I also want to show you this because they're, they're amazing. They're amazing. They're dirty. And clearly I walk around barefoot a lot because they're kind of like you can see like my feet, my feet dirt. Especially when I'm working, try to bring some flip flops with me because I am a chancletera, which is kind of very Latin for like a flip flopper, which means that I'm from Miami and I just am in flip flops there like 100% of the time. Gotta have some flip flops, especially if you're like going to a party or a dinner and you're like, okay, now I'm ready to take these heels off. Just there's no shame in just whipping one of these out. My next item, I've got some sunglasses. I like to have a pair of sunglasses with me, especially here in LA, like in Miami, I maybe wouldn't, but here there's like paparazzi and like stuff. And also sometimes it's just too damn bright out there. I always bring some sunglasses to match whatever outfit I'm wearing. This doesn't really match, but it is what it is. This is a Privé, Privé Ravaux, which I think Hailee Steinfeld. worked with this brand of sunglasses and I think they sent these to me. And I like that they're just like full coverage. If I'm hungry, like I don't want to just like reach for like some chips. I'd rather reach for something healthy, like a trail mix. This one is like one of my favorites. It's from Air One and it's got like cashews, it's got goji berries, it's got dark chocolate and it's got walnuts. So it's very strong. 10 out of 10. And also this hue dark chocolate. It's just so good. Dark chocolate also has a bit of caffeine. Doing promo or whatever and I'm like, I don't want to have coffee, but I need some caffeine. I'll just be like, give me the chocolate now. Lip gloss. Oh my God, it smells so good. And I usually have like a lip gloss or lipstick or whatever matches with whatever I'm wearing that day. So today it's this. I always have a charger with me because I can't tell you how many times I've had this. I'm like, I'm gonna have to go to the bathroom. I'm gonna have to go to the bathroom. I'm gonna have to go to the bathroom. I'm gonna have to go to the bathroom. I've been somewhere and my phone dies and I have to go into a store and be like, do you guys have a charger? Can I please charge my phone? This was before I could drive too. Like I needed an Uber so I'd be like, I'm literally stranded without my phone. Like this is not good. Mophie portable chargers. See that? I lose all the time. I don't know. It's just easier for me to just bring a cord and like a little, it's a box. Charging cube. Wow. See? Charging cube. I didn't know that was what it was called. So I bring that and I'll just plug it wherever I am. Guys, thank you so much for checking out my essentials. I'll see you next time.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Camila Cabello Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Camila Cabello Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Camila Cabello Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Camila Cabello Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nJason, go watch the stuff, don't bring it up. Yeah, nobody f*** with my s***. Hey folks, my name is Jason Sudeikis, and these are my essentials. Look, I'm going to be transparent with you. I'm shooting a TV show here, Ted Lasso, the second season of that, in London. So I don't have my most essential essentials, I have my bare minimum essentials. But these are the things I, you know, I roll with, you know. And they all go in this number one essential, this. That's my backpack. This was a birthday gift for my 40th birthday, about five years ago, from Shinola. It is a beautiful, beautiful, like deep green. When I worked at Saturday Night Live, I tried the, you know, the side saddle. I tried like a Jack Spade bag, like a messenger bag. And I just found myself going back to the backpack time and time and time again. It's been beaten up and broken in and worn in, and, you know, Shinola makes good Shinola. The laptop sleeve. Which, there is one in here, not important to me, because I use this Montblanc sleeve within a sleeve. So, you know, it doesn't matter where I put it. But that's where I keep my laptop. I would say the laptop is the most essential. Because, yeah, this is what I, you know, write, rewrite, send notes for everything with the show. I mean, the whole first season, because post-production was done during COVID time. I mean, I basically edited on this thing, too, you know, through Zoom. You know, speaking with our editors. So, for anybody at home, you can make a TV show with just one of these. Especially when someone that makes these pays for it. It makes it a lot easier. And it also has, you know, dozens and dozens of thousands. You know, probably like 50,000 personal photos of all my years through SNL, family photos. If I lost that, I would be, um... Can I say f***ed? The next essential. That's a red pen. Right there. Your Pilot G2. This is basically what I do all the notes on any hard copy of a script or anything. I start with a box of these and I lose them throughout the season. Another red pen up in there. Another red pen. Sharpies. Just in case. The delete key on the, you know, the laptop is very functional. But a lot of times I work with hard copies just because it's easier to jot down notes. It's just the way I got used to doing it at Saturday Night Live from, you know, people like Tina Fey and Jim Downey and, you know, Mike Schur and Seth Meyers. Like, why would I change now? So, yeah, the Pilot G2. If you do this, it makes it look like it's rubber. All right. I've got two decks of cards in there. Red and blue. Tally hoes. I like magic. I like card tricks. I get a lot of idle time in the world these days, you know. And I was like, I don't just want to stare at my phone and get mad all the time. I want to do something else with my hands. And messing with a deck of cards was, it's almost like a professional, like, fidget spinner to just sit there and, like, shuffle cards. And I just, like, I've just kind of gotten used to, like, screwing with them. Every now and then if I've had enough beers, I'll do, like, card tricks for friends. But for the most part, they're in there just to pass time in cars or on set. Or doing tarot card readings if you, you know, know the symbolism. I don't. But, you know, I think aces are good. Again, you know, operating. Getting out of a backpack. This is Kiehl's Blue Herbal Spot Treatment. That's for pimples. Kiehl's is, like, a company I feel that as a guy from the Midwest who doesn't pay too much attention to the way he looks, it feels like I'm not too far off. This feels like being a grown-up and being responsible. And, like, this and the face scrub, that's about what I do. That's that. Well, here we go. This is important. You might know what this is. These are my eyeglasses. These are my glasses. Essential for a number of things. Most importantly, seeing. Also for looking smarter than I really am. I use these. I am nearsighted, which means I can't see far away. And this is a brand called Tarte Optical. I have a lot of different styles of this exact same frame. Like, a lot of different flavors, I would say. Like, brown and clear and, you know, mocha or whatever the heck. These have done the trick. And, oh. Oh, this is being filmed. Oh. Oh, this is going to be cool. I'll always wear glasses. Every time I think about doing LASIK, I just buy new, like, frames. And then that desire to have someone shoot lasers into my eye is removed. Headphones. I got, you know, AirPods. I got, you know, AirPod Pros in here somewhere, I think, too. Wait a minute. Do I have the AirPod Pros? Look at this. I mean, I've got them, like, AirPod Pros, regular AirPods. And then the AirPods Max or Air... I forget what they're called, these. These are what I use when mixing the show because, you know, you want to be able to hear everything. They're great. They fit great. They look cool. Phone calls, I just go with the AirPod. And then the AirPod Pros are great. But, like, I've got weird little ear holes. When the thing goes in there, I'm just not built for them as well. Like, they fall out. I love headphones. I grew up traveling on a team bus playing basketball in high school and college in the 90s. So I'm used to carrying big headphones when big headphones came into play. And a Discman. So now, you know, with Bluetooth and everything, no wires, I'm happy to live in the future here. But I'm always on the search for them. I love what they do at Beats. I love mastering dynamic, banging all of a sudden. If there's a groovy pair of headphones out there, I usually, you know, try to check them out. And these are great because they just slide right into the thing. And also, the kind folks at Apple gave them to me for free. This is just a notepad. This is a website I really like. Cool material. This is a notepad that I fill up with various ideas. It says, brilliant ideas I had while stoned. And that's not always the case. We are all capable of having brilliant ideas when we're sober. But this is where the stoned ones go. If you're looking for, you know, Mother's Day, it's right around the corner. No. I do skew more analog, hence the red pen. I'd carry around a notebook from my Chicago days of doing sketch and improv. Like, when you have a good idea, you jot it down. I still keep my notebooks near and dear to me. So, yeah. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. I love it. This isn't my passport, but this is my global entry card. That's an essential. I'm covering it up so that you little stinkers out there can't steal my global identity. Not that you'd be able to do much with it. But, yeah. Oh. It expires. No. I'm sorry. It is expired. It expired last September. This son of a gun right here. This is it. This is a Leatherman Squirt. It's like a little tiny Leatherman, like a Swiss Army knife. You're not that big son of a gun that your dad's friend is. He's a good man. He's a good man. He's a good man. He's a good man. He's a good man. He's a good man. He's a good man. He's a good man. He's a good man. He's got a really big, big mouth. He's got a real big mouth. He's got a real big mouth. He's got a real big mouth. He's got a real big mouth. He's got a real big mouth. He's got a real big mouth. He's got a real big mouth. No, it's like a little guy. This thing has opened wine bottles and beer bottles. I mean, I've used this puppy to, like, trim my mustache. I mean, look at that. And I use that for nose hairs. This is my second one. The first one, again, I got as a gift. And I traveled with it a year, two years. And then I was heading home. and security back in Kansas City stopped me and took it out. And I was like, you can't have that. I'm like, I've been everywhere with this. I've literally been here with this come and gone. And then they took it. I repurchased another one on my own. So it'll go at any point. Maybe it's contraband. Maybe it's illegal. I don't know. You know, I guess security is a form of art that I was unaware of. So yeah, Leatherman Squirt. All right, well, folks, those are my essentials that travel with me in my backpack. Now you know a little bit more about me. And if you ever need one of those things and you see me, you can, you know, I'll help you out.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Jason Sudeikis Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Jason Sudeikis Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Jason Sudeikis Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Jason Sudeikis Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nBless up GQ, this is DJ Khaled, Father of Asahd. Welcome to my office, these are my essentials. First up is a picture of my son and my queen. We have many pictures in my office with my son and my queen, my family. That's very important, you know what I'm saying? You know, I used to go to my mom's house and I'd send pictures of me when I was a kid and it always only at mom and dad's house. So I was like, you know what, we're gonna get so many pictures so when my son grow up, he gets to see every stage in life of his age and not his dad, he's bringing a beautiful energy in the whole house and we a family, I love the family. Next up is the Father of Asahd 3's collaboration with Jordan. These are very rare. Jordan has like a hundred pair and I have a hundred pair. Suede, leather, the details on this, the color's amazing. One side has We The Best, the other side has Jordan. And it's special, you know what I'm saying? It's called the Father of Asahd 3's. So this means a lot, you know, and that is that. I love Jordans and 3's are my favorite. Next we got is the Supreme charger. It's important that I have a charger for my phone at all times because I have to make sure that I'm always in communication with my son and my queen, my family. But also my fan love worldwide. You know, I gotta hit them with the snaps. I gotta hit them with the IG. I gotta update them what's going on. See, I use my social media for positivity, motivation and inspiration. And obviously we need this for communication. That kind of flow, didn't it? Little flow. I love Supreme. I love what they do, but at the same time, this was a gift. So I'm always gonna use this. We also have the We The Best charger. Now this one is my favorite charger, but I also use it to let people see the logo sit on the desk. And then, boop, charge up ASAP too. You know what I'm saying? This is the Quran. I have the Quran everywhere I go. Obviously this is on my desk. Protect the blessings, protect the energy. And this is the Quran, the holy Quran. Travel size? Is this it though? Yeah, you know what I'm saying? My family, my mom made sure I have Quran's everywhere. You know what I'm saying? And I'm blessed. I'm blessed, man. You know what I'm saying? This is a blessing. It's important to have some fresh flowers every week. You know what I'm saying? Outside, I love nature. Also inside, I love nature too. So it's important to have beautiful flowers on my desk, around the house, in the bathroom. It's just important, man. It's just a vibe. See my shirt? My shirt got flowers. I love truck. My favorite flowers, I got a lot of them. I can't pronounce that one. What's it called? Honey! Bugambilia. Bugambilia. I can't say it. Say it loud for me, go ahead. I don't know, I'm saying it in Spanish because I don't know. Just say it in Spanish, go ahead. Bugambilia. Say it one more time. Bugambilia. Yeah, I like those. Next up, I don't know if you wanna call these ashtrays, but they're like, just things you just lay on your desk or a table. And these are Versace. I got these as a gift. And I always liked them, you know what I'm saying? Cause I would put my chains from my pocket or put like my keys on top of it. You know, like stuff in your pocket. I would lay it on top of these things. And I would just be like, okay, I gotta look at these at all times. It's rich, it's elegant, it's fly, you know? Speaking of Versace, I love my Versace pillow. I have this in my car at all times. I just always have it like that. I'm chillin', it's like a silk vibe. You know, I'm sure you've seen a bunch of pictures always holding me, holding pillows. I love pillows. And I keep this in the car. Where'd you get it? I think my brother Chris Smokes got me that. Shout out Chris Smokes. We the best on family for life. I love candles, but this is my favorite candle. It's the Bay Dip. I wanna say it right, is it Dip Teak? Dip Teak. On the Bay flavor, it's my favorite candle. I get these at the Dip Teak store. They love me. I know when I walk in, I want it all. Load up. If you follow my career, you know I love these. And if you ever been in my house or my office, you know I love these. When I'm on tour, my dressing room, be having them. It's part of my rider. It's important. Soap is key. I love Dove deodorant and Dove soap. I'm surprise me and Dove ain't did something together. It'd be the biggest Dove ever, because I really love Dove soap and Dove deodorant. And I also love... I love cocoa butter. This is my son's cocoa butter. I just love the way it smells. I put it on every day. You know what I'm saying? They be like, yo, Cal, you smell good. I'm like, it's the cocoa butter. Since I'm a kid, I've always used cocoa butter. And my skin really loves it. Always gotta have some cocoa butter. When my son was born, they sent us a care package of just pictures of my son on it. And we appreciate it, man. The baby mogul. That's where they put little baby moguls. It's important to have a bag. Secure the bag alert. Protect the bag and secure the bag. You know what I'm saying? I like this. I like this one. It's my favorite new bag. I'm blessed to have a few colors. Matter of fact, show us some more colors. I love this collection. Shout out to Virgil. He's at the Louis store. Right when they come in, I get them. You know what I'm saying? I collect bags. I like them laying around in my office. I like them laying around my closet. It's like bags. At this moment, these are my favorite collection of bags. But my favorite, favorite bag is the brown paper bag. Brown paper bag. Thank God for that brown paper bag. Thank you. Thank you. Thank you. That's the classic bag. That's the bag. There's another bag too that doesn't come in a bag. It's called a wire. And that's a bag too. These are my essentials. Thank you for watching. It's Father Vasai, DJ Khaled, Billy, Khaled Khaled. Another one.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things DJ Khaled Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things DJ Khaled Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things DJ Khaled Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things DJ Khaled Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nAll right, let's go. What's up, everybody? It's Bozzy here. I am currently quarantined at my apartment in Los Angeles, California. Hopefully, you guys are all doing the same, so we're safe. But nonetheless, I am here today to do a special edition of 10 Things I Can't Live Without. 10 Things I Can't Live Without And my next is my Gibson Hummingbird. This guitar is really special to me. She's amazing. I've written a lot of beautiful music on it. I've taken it to Asia and Europe and Hawaii, and I use it on a lot of my last albums. This is like my tour bus guitar. It's nice just being able to have instruments around all the time. I think, you know, it makes me feel a little less crazy in here, knowing that at any minute I can jump on the piano or jump on the guitar. I'll just get something out if I need to, so. Yeah, this is my baby. Whatever. I'll figure it out one day. The classic Nintendo Band Q. I grew up on this. This was pretty much my job. It didn't box. One sec. So right off the bat, these are just about everything you're going to need to enhappy yourself for the next few months of quarantine. We got classic Super Smash Bros. The Mario Party 5. Mario Party 5 is an unbreakable. It's an unbelievably entertaining game. It's probably occupied most of this quarantine cell. So. Next on my list. The classic, classic, classic Legos. If you look at all my essentials so far, you probably think I'm a five year old boy, which is pretty accurate to the spirit that lives inside of me. But when I was a kid, I actually always tried to build Legos. I just had the craziest ADD. I could sit down for like five minutes and would end up stacking them up in a stupid brain. As an adult sitting down and doing these, it's so peaceful to just read directions and, you know, do something that's almost purposeless and has no external reward or anything. And it's good for the mind, I think, to just focus on something and accomplish it. So, yeah, Legos. We got the stacked up Legos for the quarantine. And one of my best friends and definitely important essential in the crib is the couch. Growing up. The furniture that we had and the furniture that we used was never like a choice or selection. You know, we basically got the hand-me-downs of furniture from family or friends. And it was just something you had. It was never something that was specific and tailored to your taste. So this was the first piece of furniture I bought. Every time I sit on it, it's, you know, a little humbling reminder that, you know, even the little things, you know, can change at this level. But yeah, I love this couch. We getting down on it, baby. And next on the list of essentials, art supplies. As simple as that. I think this is important. I think if you claim to be an artist or whatever it is, if you're not, I think this is healthy for everybody. The Blick acrylic colors, design books. This one's actually really cool. It's the art of architecture. Some brushes in there. We got the canvases in here. I can actually give you an example of what I mean by saying that you do not have to buy any to be a good artist. I'm just kidding. I'm a very impatient guy. Especially with art. I like things to be immediate. I like that's why I like music because you can create it so quickly. I get stuff in my brain and I'm very eager to get it out. So this is my ADD artwork right here. A lot of my art, I do really strange personal stuff. Like under this, I wrote a whole just kind of brain flow onto this artwork and then around this end. And then I just... Oh shit. Follow me, Bella. Next, we have a very important element. And I hate to say is one I've been indulging in a lot during this quarantine. It's the spirit session. We've been drinking a lot of wine. This is actually my favorite bottle of wine. This is an Opus one. Delicious. I like anything in life that people pay specific attention to the details. Which is these wines. There's so many things and there's so much specificness to it in the creation of itself. I like it a lot. We'll be done with these in like the next three days. But happy you got to see them before they disappear. Next. Let's head to the fridge. So my fridge is pretty green. You would think I was a super healthy guy if you saw this. But I live with two vegans, my girlfriend and her twin sister. So I'm like an 80% vegan. I definitely try and like remain that lifestyle for many reasons. But we got the Beyond Burgers. Damn vegan veggies. Maybe I should figure it out too actually. Put some... All right. We got some classic dessert options. This is when I said I was 80% vegan. This is probably when the other 20% comes in. It's with these Snickers ice cream bars are unbelievable. These are a gift from the heavens. These are magical magical creators. The incrustables of course. Got to have the incrustables. Scribbles. If you know, you know. Scribbles are a cult. That's what I'm saying. This right here is my wife, baby grand. Kawhi Piano. I love this in the place. I mean when you walk in it's right there in your face. I like the idea of friends being over. And at any time they can jump on the piano. Whether they know the player or not or the guitar. And just feel creative in yourself. I spend a lot of time on it. If it's 3 in the morning just getting ideas out or you know, waking up in the morning and sitting here with my coffee. This is the trusty seat. And this right here. This is the view. This is super essential. It's very important to me. It's actually probably like the main reason why I moved in this place. Just feel so open. A lot of the views in LA are filled with buildings and traffic. It's small. This one's just so green. It's nice having a place to kind of come out. You know, things feel so big in your world to kind of look at things and realize that your problems may not be as big as you think they are. Okay, everybody. That's a wrap. I want to thank GQ for having me. Times are really tough right now. I hope everybody's staying safe. I hope you enhappyed the video. I'll see you next time. Be well. I love you. I love you too.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Bazzi Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Bazzi Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Bazzi Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Bazzi Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHi, I'm Novak Djokovic and I'm doing a Wired autocomplete interview. Autocomplete. Autocomplete. And this is just the beginning. How does Novak Djokovic pronounce his name? Novak Djokovic. Try it at home. How does Novak Djokovic train? Usually with a racket in my hand. How does Novak Djokovic slide on a hard court? I think sliding helps the change of direction, a quicker change of direction. I think it's because of skiing. I did a lot of skiing when I was younger, so I think that helps. How many titles does Novak Djokovic have? 73, 74, something like that. How did Novak and Jelena meet? Djokovic is her surname right now because she became my wife. She used to play tennis. We saw each other in one of the... local tournaments in Belgrade. That's where we met. She used to be my girlfriend and before that she was my friend. And before that she was my high school crush. All right, next one. Why Novak Djokovic is called Nole? There is no meaning in... and connection between Novak and Nole. It doesn't mean anything. It's just, I guess it's... or actually there is some form of connection between Nole as a nickname to Novak as a name, but there is no any other meaning for that. Why is Novak Djokovic called Joker? Well, I did impersonations of other players on the court. I think that made me famous. I used to do it more and then I figured that some of the players were starting to take it too personal. So I just didn't do it anymore in public. I do it at home. Why does Novak Djokovic eat grass? Because I'm vegetarian. No, I'm kidding. When I was a kid, I was a kid. When I was younger, I always dreamt of winning Wimbledon and I wanted to do something different. And I didn't come up with a more original idea. So I thought I might as well just eat some grass. And a lot of people ask me, how does it taste? And it's the best freaking grass in the world. Why is Novak Djokovic a good role model? I don't know. You guys tell me. I'm trying to be myself, you know, obviously be authentic, be original. You know, always have consciousness. Consciousness about, you know, younger tennis players and athletes looking up to me. All right, next one. What is Novak Djokovic? What is Novak Djokovic? I don't know. It's just the name. What does Novak Djokovic eat for breakfast? Green juices, different cold press juices, smoothies, a lot of fruits, oatmeal, chia puddings, stuff like this. Love mango. What does Novak Djokovic eat during matches? Dates. Only dates. They have a lower glycemic index. They don't give you those spikes, like instant spikes, and they bring you down, like some maybe other sugary foods or liquids. And they just maintain the right level of sugar in the blood and energy. And they just fit me very well. I've been, you know, eating dates for the last 10 years. What language does Novak Djokovic speak? I speak Serbian. Dobar večer, dami i gospodu. Which is good evening, ladies and gentlemen. I speak English. At least I try. Italian. Buona sera, signore e signori. And a little bit of Spanish. Buonas noces, mi amigos. Preparation. Dobar večer, dami i gospodu. Which is very similar, yeah. Vo si ajau, ni... Tranquo. That's Chinese, but not for good evening. That's something else. What... What color are Novak Djokovic's eyes? Can you zoom in, please? Greenish? Green, brownish? Are they? You guys agree? Okay, got it. Awesome. All right. Is Novak Djokovic the best ever? You tell me. Is Novak Djokovic... Is Novak Djokovic an only child? No. I have two younger brothers in the family, Marco and Giorgia, and they both used to play tennis as well. Is Novak Djokovic a father? I am a father. I have that blessing to be a father of two wonderful children, Angel, Stefan and Tara, that are five and two years old. I miss my children. They are not with me now. They're back in Europe, but I'll be with them very soon, and they will be with me for a long time. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them. I miss them very soon, and they and my wife are the most important people in my life, that's for sure. Is Novak Djokovic left-handed? No, I'm right-handed. It's a great asset to have, that's for sure, in our sport. If you play a two-handed backhand, if you have a strong and coordinated left arm, it definitely helps execute the shots better. Actually, Rafael Nadal plays with left hand, but he's, I think, a natural. right-handed. Have you ever tried to do left-handed? I did. I did. I do every few days once in a while just on the practice court just for fun. Is Novak Djokovic gluten-free? Yes, I am gluten-free since 2010. I'm dairy-free and refined sugar-free. I'm also plant-based. The whole evolution of my nutrition has happened in the last 10 years. I'm just healthier overall. I have more energy. I sleep better. As an athlete, I recover better. I have better concentration on the court. I run faster and also it's because of the planet. Obviously, sustainability. I think going plant-based is the way. Awesome. Next, Novak Djokovic. When is Novak Djokovic's birthday? It's 22nd of May 1987. When did Novak Djokovic start playing tennis? I was four years old. It was in Serbia in a mountain resort called Kopaonik where my parents used to run a family business. They were making three tennis courts in front of the restaurant and I used to help the workers out and bring them beer and different drinks and in return they would allow me to play some tennis when the courts were done. So that's the beginning of the love story. Who is in Novak Djokovic's players box? Logically, it's my team, my coaches, my agents and I have my wife, of course. She's not always there, but whenever she can, my parents, my brothers, my friends, some celebrity friends here in New York as well because we are in New York. If I, in my box, see people that I care about, that care about me, that support me and I feel the positive vibe and of course it does help me play better. Does Novak Djokovic have a tattoo? I don't. How fast is Novak Djokovic's serve? I'm not a huge server, so to say. I don't have one of the fastest serves on the tour. Although I did serve over 130 miles per hour several times in my career, which is quite a nice speed. Although it's incomparable to some of the guys like Joe. I'm not a huge player, but I do serve over 140 miles per hour. I'm not a huge fan of the guys like John Isner, for example, or Karlovic, these guys that serve over 140 regularly. When will Novak Djokovic retire? I don't know that. I'm not thinking about retirement at the moment. I do have a family, of course, and the things are evolving in my life, so to say. I'm obviously 32, which by many standards, so to say, or the history of tennis players retiring is I'm coming closer to the end. But I still love playing. I still love competing. And as long as it's like that, I'll keep going. All right. And last one. When did Novak Djokovic become number one? It was in 2011. I won Wimbledon for the first time. Two biggest dreams came true in one day and had a memorable reception back home in Serbia. Just one of these things that stick with you forever, that, you know, bring you happy and nicest memories and inspire you to keep on playing and winning. It was beautiful. Who is Novak Djokovic coach? My coach, I have two coaches, Marian Vajda, that has been my coach for almost 15 years. He's more than a coach to me. He's a family member, a friend, a mentor. But he's also a father. He's got a legacy, a passion, a habit to keep changing. So I think I'm going to use him as a mentor to him. How did you first meet? We we met I think was back in 2006. I was looking for a coach and my agent actually at the time he brought him to one of my training sessions in Paris. And it's weird, but I broke the record in the training session in front of him. And, and I didn't actually see him I broke I was really I was not playing well. I was not feeling well I broke the record and I turned around and I saw my parents were standing in the corner with him. I was like, oh my God, he was supposed to be my coach and now when he sees this, no way. So I walked out and he welcomed me with the greatest of smiles and he's like, gave me a hug and he said, I'm here and let's get this, you know, let's work together and I that's when I fell in love with the guy. I mean, he's just an amazing amazing person. I play someone with a tennis racket and I hope I'll kick his ass. Sorry. My parents' names are Srdjan, that's my father, and Diana, my mother. They have gave a lot of energy and time and support for my dream to come true, to become a tennis player and I am eternally grateful for that. For them. I want to thank everybody for going to Google search and typing my name and, you know, hopefully you guys have enhappyed this and I'll see you on the tennis courts very soon. Auro. Auro? Auro? Auro. Auro. Auro interview.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Novak Djokovic Answers the Web's Most Searched Questions _ WIRED-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Novak Djokovic Answers the Web's Most Searched Questions _ WIRED-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Novak Djokovic Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Novak Djokovic Answers the Web's Most Searched Questions _ WIRED-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWhat is that? Cheers. Hey guys, I am Manny Jacinto and I am here to pour it up with Elle on Thirst Trap. I've got 10 questions accompanied by 10 different shots. The crazier the question, the crazier the drink. I have the option of answering all of these questions honestly or throwing one back instead. We just went skydiving the other day and I'm definitely more nervous about this than skydiving, so mmm. Yeah. What do you find bitter and what do you find sweet about the good place coming to an end? Okay, this isn't bad. What do I find bitter? Finances. You know, you're always really scared about not finding a job ever again. Okay. And ending up broken on the streets and not ever working again, but hopefully that won't be the case. And then what do you find sweet? All of us kind of coming together and really enhappying each other's company, knowing that it'll be our final goodbye. When we did the Good Place Comic Con, I think one of the sweetest moments was when Ted just like couldn't help these feelings and you can tell that he wanted to start crying a little bit and all of us started to kind of tear up a little bit. I mean, I didn't. Because, you know, I'm like... I'm like, I just don't want to be like, you know, not being able to do this anymore. I mean, I just wanted to be like, you know, not being able to do this anymore. I just wanted to be like, you know, not being able to do this anymore. And then I think it's probably one of the sweetest moments I remember from this past year. But I'm just curious to see what this first one was. Okay. I think that's tequila? Something? Some sort of tequila? Okay, good. Because I don't really drink. Next question. What's your sexiest physical feature? What's your sexiest physical feature? I am a man. I am a man. I am a man. I am a man. I am a man. I am a man. I am a man. Every woman can have a sexual feature. Ah, man. I get a lot of comments on my cheekbones. Out there on the Twitterverse is a feature that does not go unnoticed. So what is this? This is? I can't tell what it is. Some sort of herb? What stereotype about the Asian community are you tired of seeing on screen? That is a very, yeah, that's a great question. Two things, males being effeminate and females being submissive entities. I think those are definitely stereotypes that we need to break that are definitely untrue. And it's, we're striving towards that. If you haven't watched Warrior on Cinemax, there's a lot of great strong females and males on there. Miss Diane Doan, for one, shout out to my lady. There's also a lot of Asian bros that are kind of representing like Jake on Single Parents, Vincent Rodriguez, crazy ex-girlfriend, and all the cast on Crazy Rich Asians. So it's getting there, it's changing, and we're gonna try and keep it going. Just out of curiosity, let's see what this is. This isn't bad. This is, is this some sort of, liqueur or something? Maybe coconut? Can I just try it? Just, should I? Oh, it's a protein shake. I'm not gonna, I'm just gonna leave that there. But yeah, a vanilla protein shake. Next question. Tell us about your most embarrassing audition. Let's see, it was actually the audition right before I got The Good Place. It was a comedy. Audition, it was so bad that the casting director had to stop me in the middle of it, and she had to ask, you do know that this is a comedy, right? And then I literally just, I just froze and I had to just leave. After a lot of like screaming in my car and like yelling at myself, like, why aren't I funny? I, you know, picked myself back up and I tried to apply what I learned in comedy and actually put it on top of what I was already doing. I wasn't staying true to myself. So in other words, I stayed true to myself, plus I added something on top of that. And I think that can go for a lot of things in life. But also it doesn't, it's not a bad thing to get embarrassed either. Getting embarrassed and falling and being scared are sometimes a good thing to go through. You know, you get up, you try again, and then next thing you know, you could be on an incredible show like The Good Place. So don't give up on your dreams, kids. And out of curiosity, let's see, what? The heck this thing is. Looking at it, it looks like ketchup. It is not ketchup. It is some sort of like, what is that? I know what this is. V8, yeah, that's what I was smelling. Not a fan. Okay. The question is if you could rewrite The Good Place without one of its main characters, who would you nix? Eleanor, Chidi, Tahani, Janet, Jason, or Michael? I can't. This is just, this feels like blasphemy if I were to answer this question. You know what? I'm gonna take one for the team and I'm gonna say Jason because that is me. And I have, yeah. I would nix Jason because I think the whole crew would get through the adventure a lot quicker without Jason being such a dummy and being a distraction. But yeah, and it'd be interesting. I like to think that Jason is like the heart of the crew and might lose a little bit of that. What is this though? It smells like paint. Not for me. Okay, we'll just move on. Who would you want to spend your time with? Spend eternity with in your good place. Oh man. I mean, I have to say, I mean, not that I have to say, I want to say this. It would be my, the lady, now fiance, Miss Diane Doan. She's also an actor. The three things that we would do in eternity together would be eating, a lot of eating. We are both dancers. So we would dance the night away. And what else would be the third thing? Take naps. I think those three kind of sum up what we already kind of do. So we have, oh, that's gross. It's pickles, I think. Some sort of pickle juice. I'm not gonna touch that, right? Okay. What was your least favorite scene to film for the show? The least favorite scene was probably the last scene I had to film. The scene itself was actually quite sweet, but just the fact that it was, you know, it was our last one. To hear the word cut and for everybody to say, that was a rap on Manny Jacinto. It was, yeah, it was a little tough. That was probably the least favorite one. It smells sweet, but it looks like brain. Yeah, I don't know what that is. And I can't drink it and it looks disgusting. It looks like pieces of gum that have like been put together in a ball. What is it? What is it? What is it? What is it? What is it? Okay, next question. You'll be starring alongside Tom Cruise in Top Gun Maverick. What's your least favorite Tom Cruise role? Holy crap. If I answer this, he might pop out that door. The one in Tropic Thunder where he's like, he's in the fat suit with the big hands and he's dancing around. Okay, but this next shot is, not great. What is that? It's like, apple cider vinegar? Oh man, that is gross. Okay. Who was your worst onscreen kiss? I can't say, I can't really reveal that. So then I'll just take this next shot. This is great. What is this? Okay, here we go. That's perfect. Kind of. A little bit. It's almost like another, was grape juice or like, no, there's something else in that. Great. Okay. And our last question of the day is, what's the one thing about your girlfriend that annoys you the most? I can't answer that question. I'm gonna have to take one for the team. Oh gosh. Oh my gosh. That's really gross. I think this is, yeah, spicy too. I think I can't. Okay. Damn. All right. Cheers. Oh. , okay. And that is what you do for your girlfriend slash fiance, because that is disgusting and it's burning my throat and I'm done. I am thirsted, whatever you want to call it. Ah, geez. Thank you guys for watching. I am Andy Jacinto from The Good Place. Please catch us on the final season. The final season, this Thursday, or these Thursdays coming up on NBC. And also catch me on Top Gun Maverick coming up on June, 2020. And yeah. Thank you guys for watching.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Manny Jacinto Talks The Good Place Finale, and Shares His Sexiest Feature on Thirst Trap _ ELLE-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Manny Jacinto Talks The Good Place Finale, and Shares His Sexiest Feature on Thirst Trap _ ELLE-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Manny Jacinto Talks The Good Place Finale, and Shares His Sexiest Feature on Thirst Trap _ ELLE-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Manny Jacinto Talks The Good Place Finale, and Shares His Sexiest Feature on Thirst Trap _ ELLE-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nThere's them bitches. And there's them bitches. What up GQ? This is Vic Mensa and these are my essentials. So you pretty much always see me in a 93Punks jacket. 93Punks is my label. We mainly like repurpose vintage leathers, denims. This jacket I'm wearing right here is 93Punks. It has real story. Not only did these articles of clothing have a full lifetime before me, but now they have their own life with me. This jacket still has blood stains on it from a crazy fight I got into. This is real sex, drugs, and rock and roll. This is one of my favorite joints though. Not for sale. I have fun making my own clothes. I get to express the things that I want to express. I have a legacy represented aesthetically. I also don't ever like wearing what other people wear, you know? Because if somebody else got it on at the same place as me, it's like I might have to leave, you know, and go change. I'm too forward to be on the same playing field. My next essential is this 1982 Presidential 18 karat Rolex. Rap is such a showboat, gaudy arena. The biggest chain with the most diamonds. I'm not into bust down Rolexes. I just think it looks tacky. I always wanted to just have like a classic Rolex, you know, something your grandfather would have, something you would pass down to your children, you know what I'm saying? And I also don't wear diamonds. Being African myself, being Ghanaian, there's so much conflict behind diamonds, and you have to be very dedicated and particular to make sure that the diamonds you're getting are not born in conflict, and nobody's doing that. I'm sure that a lot of guys walking around covered in conflict diamonds right now, and I'm not judging them for that, but it's just not for me. So no bust down, big face, rolly for me, no diamonds. So this is the Giuseppe Chelsea boot with the Cuban heel. This heel is like a, it's an alligator. The metalwork detailing on the back. I had a chance meeting with Giuseppe in New York City. I saw some boots he was making for women, and I was like, man, you know, that would be amazing. That would be amazing for a man. You know, sure enough, he was like, give me three weeks. And it showed up at my door, and I was like, whoa, you know? So shout out to Giuseppe for sure. Another essential of mine is these white gold teeth, courtesy of my boy Big O. You know, I was inspired by a couple things with these teeth. First of all, I wanted to look like a Guatemalan street urchin, or street merchant, either one. I think I pulled it off. But I also was inspired by the Joker. The Joker's teeth are crazy, so I got this love, this jagged thing from over there. And I was inspired by Johnny Depp. I'm not feeling him so much anymore. The evidence seems to be overwhelming that he's a piece of shit. But his silver teeth are cool, so I took the two bottom ones, you know, from him. So I kind of got that pirate street merchant vibe going on. This is another recent essential of mine. I got them from a vintage store named Please and Thank You Store. And it's been brought to my attention that YG also wears small glasses. But this is a completely me move. Shout out to the man, YG 400. You know what I mean? But these are Sid Vicious joints. You know what I mean? I put them on, look like a creep real quick. Switch out, then I get on real creep mode. Whatever I do, you can't hold me too accountable, because I was wearing these glasses. You knew I was a weirdo. The TC Helicon, man, this is a real essential of my life. It's what I use to write. It's what I'm most natural with. It's a songwriting tool, basically. It's like effects for your voice. Delay and reverb and harmonizer effects. Auto-tune and I did a song the other day and my homegirl was like, yeah, I don't like it because I don't like auto-tune. And I'm just like, I'm sorry then. I'm sorry for you, you know, because auto-tune is amazingly fun. You know what I mean? It's like we should be doing this. We should be able to use technology and move forward, create new sounds and new ideas without being held back by our commitment to the past. You know, I'm always trying to think about what's after what's next. Recently I started writing down music on paper again. I've been carrying around this little notebook. Shout out to Sweet Green. I fuck with them. But you know, it's just like the little things that I think about. Thea is the poor man's cocaine. Cut the smile off your face. Mostly very depressing writings. This is like all the random papers that I've been writing on recently. Sometimes it's songs. Sometimes it's just like stream of consciousness. Like depression. But I guess that's my way of fucking expressing it. You know what I'm saying? Because I've been going through a lot of fucking, a lot of depression, anxiety, suicidal ideation, all the dark stuff. It helps me out to just fully express myself. Fully express it. You know, to just put it on paper. Putting things on paper is kind of like immortalizing them. When I write things down in the phone it just gets jumbled up with Instagram and Twitter and all these fleeting temporary things. These notebooks still have things I wrote in them when I was 15 years old. You know what I'm saying? I had a brick phone at that point in time with the Snake 2 on it. If I had wrote it down in my Nokia, it wouldn't still be around. But I wrote it on paper. So it's still here 10 years later. I write on paper so that it can last. Motorcycle helmet. Riding a motorcycle 2018 is probably the best decision I made. It's like the most fun that I've had. And it's fun on a daily basis. This helmet was given to me by a member of the Good Charlotte camp. I'm doing a punk project. It's really like punk music over like trap beats, rap beats. So we were in with Joel Madden. Who's a super cool guy. I was talking about how I needed a better helmet. Something that had some ventilation in it. And his homie just went into this back room. Pulled out the helmet and some gloves and just gave them to me. Because I guess they used to ride bikes but their wives won't let them ride bikes anymore. I don't have a wife or anybody that can really tell me what to do. Luckily. So he gave me this helmet. One thing I really like about this helmet and it came with this is the Zoo York sticker on the back. Which is legendary. The Zoo York mixtape. The Zoo York mixtapes are actually what got me into rap music. I only liked rock and roll before I heard Step Into A World, KRS-One on this Zoo York VHS tape. And that was the first rap song I liked. So shout out to Zoo York and rest in peace Harold Hunter. Legends never die. Yeah I've been wearing these dog tags recently. In case I get shot and killed by the police. That I can be identified. You know I feel a little bit bad about promoting cigarette smoking. But I guess if you're gonna smoke you might as well smoke American Spirits right? Cause it's like a little bit more healthy. It's probably still fucked up. I'm promoting it to the kids. But you know. Whatever. I'm not really a role model. I'ma keep it a stack with you bro. I don't know the difference. Sometimes I get the yellows. Sometimes I get the light blues. I don't know which is which. I'm sure one of them is supposed to be like the light cigarette. But I have this special shit that I do. I put a drop of peppermint oil on the filter of each cigarette. And it's like a Whole Foods Newport. It's like a vegan Newport. It's crazy. Don't smoke cigarettes kids. It's late for me. It's a little bit late for me. But for you if you haven't started. Don't do it because you think it's cool. Because I'm cool. Cause I'm not cool. And neither are cigarettes. I've been wearing the shit out of these man. This my last essential. It's these 93 punks Carhartt pants. Just a lot of these. Just a lot of detailing on here. You know what I'm saying. Destroyed fascism. The dead Kennedys jump off. Straight 93's Alien Sex Fiend. Agnostic Front. Black Flag. Black Flag is another one of my favorite favorite bands. All the patches are stitched on with dental floss. Real authentic fashion. And I've just been wearing these a lot recently. Like I often just like crash on the couch wearing all my clothes. Yeah so this is from the upcoming 93 punks line. Be on the lookout. Fashion and music. And these are just limbs to my soul. To my mind. My spirit. The essentials are the pieces that make that puzzle whole. Thank you GQ. These are my essentials. Please don't try and steal the sauce. Don't try this at home. It's very risky and very dangerous. Peace.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Vic Mensa Can’t Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Vic Mensa Can’t Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Vic Mensa Can’t Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Vic Mensa Can’t Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nHey, what's up GQ? I'm Jerome Jerome and these are my essentials. Yay! This is my brush. My hair kinda goes from really long or really short, just back and forth all the time, so this kinda keeps it in control. So whether it's short, whether it's long, it's fresh, it's smooth, so it's a little, hair this way, a little bit that way, front, and a little turn, so I get the curls to puff. And then that's it, and that's how I use my brush. What do you use for your beard? Same thing? Nope. There's a big difference between the regular brush and the beard brush. The beard brush is smaller, gets the actual little corners of the face. You know what I'm saying? If I use the big brush, it'll kinda just have a big, so the smaller is much better, it's more contained. It's cuter too. It also looks like a toothbrush, so people ask me why I put my toothbrush out on the train, but it's a beard brush, and I put it to my face, and it makes sense. It's actually my rumors, and now it's mine. Yay! Lip balm. This is extremely key for me, because the amount of times I have seen myself in a film or a show, and I have the most chapped lips I've ever seen, is very embarrassing. When I watch myself, I'm like, Jharrel, did you forget your chapstick that day? And I probably did, so now I don't forget my lip balm. I always, like five times a day, put on my lip balm, so my lips are not chapped. Is the Kiehl's one your go-to? Yeah, I think I just got put onto this like a month ago. It used to be the average chapstick, you know, the regular one, that I had Blistex and Carmex. I tried them all, really, but this one's my favorite, because it kinda makes my lips look really glossy after. Looks like I just kissed somebody, you know? I always have lips that look like they just got kissed. You got a text. I did get a text. It's my sister, and we're gonna meet up tomorrow. She gave me a thumbs up. She doesn't say many words. I'm like, hey, I can't wait to see you. Oh my God, it's been so long. That's her response. But my phone, I guess just like everybody else, is extremely important. I never leave without it, because pretty much my entire mental state is on my phone, in terms of family, in terms of my team, and my career, and the work I have to do. But I also make music, so I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. So I write a lot of music. I actually have it in the notepad section, which is risky, because I don't want to lose all this stuff. But pretty much a ton of just different ideas and lyrics and stuff that I do. And I'll just be in an Uber or walking down the street, and I'll have an idea, and I'll just put out my Notepad, and I'll just start typing. So my phone, I cannot go without. This essential is really close to me, and special to my heart, because it's my grandfather's watch. It's a Gucci watch. I'm not sure the exact year it's from, but it's really old and very vintage, and it's kind of messed up a little bit. But he passed away three years ago, and I feel like a big reason I'm here today is because of him. And I think he's watching over me and guiding a lot of the decisions I make and the moves I make. And so I keep this in any hotel room or any apartment I'm in. I'll keep it on the nightstand next to me. And I'll never wear it. I might wear it maybe for a really special occasion, but the plan is to really just keep it everywhere and not wear it, you know? It's super special to me, and I miss my grandpa, you know? Another essential of mine is, I mean, it's clothing, pretty much. I've been trying to clothes shop a lot lately because I'm getting tired of all my old clothes and fall is coming, so I'm trying to find a whole new fall attire, including this blazer, which is from Banana Republic. I have not taken it off since I put it on because it's fresh as hell. And it feels really nice, and it keeps me warm at the same time. So just in general, a whole new attire of clothing is definitely necessary. So this is step one. Like a boss. I feel like I need a cigar in my hand and just to light it and, you know, not listen to anybody's questions. Another really special one for me is a photo of me and my mom from 2010. It's dated in the back. It's all blue now because I kept it in my jeans in high school, like all of freshman year. No one knew. I think if anyone found out, I probably would've got bullied. But I held a picture of me and my mom just every day in school for the beginning because it was the first time I was really stepping outside of the Bronx and like not being around family. So I felt like if I had this in my back pocket, I felt close to my mom, close to my family, close to my dad. So I felt like if I had this in my back pocket, I felt close to my mom, close to my dad. I felt like if I had this in my back pocket, close to my dad. I felt like if I had this in my back pocket, close to my mom, and close to my family. So she said, to the best son in the world, I am extremely proud of you. Do your thing, baby. You got this. And she was saying, do your thing, because I was about to audition for the high school that I went to. I was 13 years old and it was called LaGuardia High School. And there's this intense audition process you have to go through. So she gave this to me and I got into every school I auditioned for that year with this in my pocket. So yeah, very essential. A baseball cap, specifically Champion, because Champion's been fire these days. But baseball caps are very essential to me for several reasons. One, if I don't have my brush, I have to put a hat on because my hair gets so wild. So a hat just swags you out. It makes you look dope and cool. Plus, lately, I've been getting weird stares from people from across the street or just from across the way from me. I'll be at an airport sitting down and someone's like looking at me like, . . . . . . And so that's when the hat goes from like here to down here. And then the longer the stare goes, it gets lower. And then she keeps looking. It's just straight up down here. But you can't do that with like this bucket hat or a bandana. You have to have a baseball cap. And so baseball caps. Major essential. My Beats headphones. Music's just a huge part of my life. I am obsessed with music. It makes me feel better. It makes me think clearer. And like I said, I make my own music. So when I make my own music, I feel like it's medicine and therapeutic for me. I just stay with my Beats on all the time. Like, I just realized when I was posting my stories the other day, I posted a story with my Beats headphones on. And I realized it was like the 10th story post in a row where I had my Beats headphones on. It looks like I'm just listening to music 24-7, which is probably true. So, essential. Another essential for me is this medallion that Corey Wise gave me. Corey Wise, if you don't know who he is, he's the man I portrayed in the Netflix show When They See Us. And the first day I got to meet him was at a table read, and I read the script out right in front of him. And I looked at him and he was crying his eyes out. He's a man who was falsely imprisoned for years. And so hearing the words of the script made him cry and made him emotional. And I remember coming up to him like, just speechless. Like, I don't know what to say or what to do, but I didn't have to say anything because what he did was he took the medallion off of his neck and he put it around mine. And he was like, you're Corey Wise now. You're the king now. That moment spoke volumes to me, especially prior to shooting the show. I think it pushed me and motivated me a lot. And then it went way beyond just the show. For me, wearing that medallion gives me strength and courage. It makes me feel like I could be as strong as he was through the time that he was falsely imprisoned. So I like to keep it on me. If I don't get the chance to wear it, I keep it on my dresser. And I just, it's a great reminder that you could be way stronger than you thought you ever could be, you know? What did it mean to you to play Corey Wise as a native New Yorker? It was definitely extremely important because I felt like I got to tell a lot of stories of the folk that lived across the street from me or above me or below me or wherever. The story is so prominent in New York and the kind of story that you see and when they see us happens every day, especially in New York City. So to be a native New Yorker, be able to share this plight with other New Yorkers is definitely a blessing and I'm glad I did it.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Jharrel Jerome Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Jharrel Jerome Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Jharrel Jerome Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Jharrel Jerome Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nYa le damos. Quizás ustedes no saben quién yo soy, pero soy Bad Bunny y estos son mis esenciales. ¿Cómo elegiste el nombre Bad Bunny? Buscando y buscando, no sabía qué nombre ponerme. Entonces, en ese momento me tenía en las redes sociales, en Twitter me tenía Bad Bunny. Porque por una foto mía de cuando niño vestido de conejo, entonces yo la había puesto de perfil y había puesto el conejo, el conejo malo, después Bad Bunny. Y buscando y buscando qué nombre ponerme, decidí ponerme Bad Bunny. Mi primer esencial son las gafas. Yo creo que desde niño siempre me ha encantado tener gafas. Es una pasión real, real, como desde chamaquito. En los party, en las fiestas familiares, en la escuela siempre me buscaba problemas porque no se podían tener gafas de sol. Y yo siempre andaba con gafas. Entonces me encantan las gafas diferentes, raras, difícil de encontrar, de colores. ¿Alguna gafas favorita? Real, no, no tengo una gafa específica. Es como per temporada. Casi siempre voy rotando las gafas. Incluso cuando ya llevo mucho tiempo que he usado una y digo ya basta de usarla. Cuando termino un show se la regalo a un fan. Casi siempre hago eso y voy comprando nuevas siempre. Como que no las mantengo conmigo, siempre las voy rotando. Next. Ok, medias, medias. Siempre tengo que llevar conmigo medias de colores o de algún diseño, divertidas. Ya sea para mostrarla o simplemente para tenerla. Me hace sentir bien ya tenerla puesta, aunque ni se vea. El amarillo que es uno de mis colores favoritos. El rosa igual. Son de piragua. No sé si es una bebida o qué carajo. Brrrr. Jajajajaja. Brrrr. Obviamente si llevo medias es para ponerme tenis. No puedo viajar sin mis tenis. Específicamente estas ni tan siquiera me las he usado. Porque no encontré mi tamaño y siempre las quise. Entonces como que yo dije, las voy a comprar, no me importa, las quiero. Aunque sea para ponérmelas en el cuello. Estas nunca faltan en mis viajes. Estas las tengo desde el principio de mi carrera. Desde el primer día. Entonces la dinámica es esa. Como que han viajado conmigo a todos los lugares que he ido, a todos los países. Y en las tarimas más importantes en las que me he trepado, pues ellas también han estado. Y es como que bien simbólicas para mí. Son las que siempre viajan conmigo. No viajan conmigo, pero sí no pueden faltar en mi casa. Siempre tienen que haber dominos para jugar ya sea con mis amigos. Este, antes he jugado mucho con mi familia. Mi papá, con mi abuelo, mis tíos. Tanto cultural de Puerto Rico, los latinos en general. Estos son Subrim, una edición especial. Los compré y no los he jugado todavía. Porque quiero que cuando los juegue sea un momento especial. En Puerto Rico igual, tú puedes pasar por ahí. Por la playa, por el centro de la isla, donde quieras. Y siempre hay un colmado donde están los dones afuera jugando dominó. Y la guerrilla se pone dura. Mi esmalte, casi siempre negro para que sea el más general. Obviamente que negro pues combina con todo. Me gusta también llevar conmigo ese de colores vivos. Me he hecho diseño de diferente. Ahora mismo las tengo negras para mantenerlo neutral. Mis campeonatos de lucha libre. Me gusta llevarlos conmigo cuando voy a hacer presentaciones grandes, especiales. Es que, no sé, no soy muy supersticioso. Nunca lo he sido, pero como que en cuanto a esto, como que no sé. Hay cierta seguridad y como que yo soy el campeón. Entonces lo llevo como que simbolizando que lo tenemos y somos fucking campeones del mundo. ¿Y quién es tu luchador favorito? Esa pregunta siempre es bien difícil. Como que son muchos. Me gusta mucho Stone Cold, The Undertaker, Triple H, Ric Flair. Como que son de los míos. ¿Qué fue? ¿Qué es lo que más te ha gustado de tu lucha libre? ¿Qué es lo que más te ha gustado de tu lucha libre? ¿Qué es lo que más te ha gustado de tu lucha libre? ¿Qué es lo que más te ha gustado de tu lucha libre? La cuica siempre tiene que andar conmigo porque pues no soy una persona de hacer mucho ejercicio. Entonces pues por lo menos trato de mantener algún ritmo. Y creo que pues la cuica es la forma más divertida, fácil. Puede ser en el cuarto, donde sea. Yo creo que esto es lo más conveniente. ¿Qué es lo que más te ha gustado de tu lucha libre? Hablando de temas de salud. Diablo, mi rey, estás bien malo. ¿Cómo tú me empuesas por arriba, cabrón? Por abajo. Por arriba, cabrón. Más, más, más, más. Dale, dale, yo lo voy a hacer yo. No confío ya, no confío. Dale, cabrón, más habla ahí. ¿Qué es lo que más te ha gustado de tu lucha libre? El vino. No puede faltar el vino nunca en mi casa. Siempre me gusta tener una botellita de vino y, no sé, en momentos especiales. O si no hay un momento especial, se convierte en uno especial. Además de que una copa de vino es saludable al día, por el corazón. Es una botella de vino costumizada que me regalaron en Chile. Hicieron una etiqueta especial con un muñequito simulando que era yo y estaba bien cool. Tengo nueve botellas en casa en las que sale el muñequito mío en el empaque. Pero mi amigo Jan trajo la que no tenía la foto, la única que no tenía el empaque. Pero no importa. Sabe igual, yo creo. Sí. ¿Qué es lo más excesivo de tu lucha libre? Mi doctor me dijo que esto es lo más excesivo. Esto que ven aquí se ve bien chiquitito. Se ve insignificante, pero es mi vida entera dentro de un paquete. No veo sin mis lentes espejuelos. Entonces, hay un problema. Me encanta usar gafas oscuras. Entonces, las cosas no combinan. Siempre uso mis lentes de contacto. Lo más esencial. ¿Qué es lo más importante de tu lucha libre? Mi cartera. Siempre tengo que tener una cartera accesible. Esta específicamente es de Nintendo. Muy... Muy chula. La encontré y la compré. ¿Qué tenemos aquí adentro? ¡Oh! Un Game Boy. ¿Esto era esencial? Esto era esencial quizás cuando tenía 5, 6, 7 años. Era muy esencial. Ya no lo es, pero... Pero siempre es bueno recordarlo. ¿Cuál fue tu juego favorito en Game Boy? ¡Wow! Mi juego favorito en Game Boy yo creo que fue el Gold Edition de Pokémon. ¿Escogías a Charmander, Bulbasaur o Squirtle? ¿Cuál fue? Charmander. Siempre escogí a Charmander. ¿Qué es lo más importante de tu lucha libre? Mi último artículo esencial es... No, esto no. Ok, sí. Mi cargador. Aunque esté incompleto, ¿verdad? Pero se puede conectar en cualquier televisor, entonces. Este... Probablemente el cargador del teléfono. Yo creo que es más importante que el mismo teléfono. Porque... De nada vale el teléfono sin el cargador. Así que... Creo que está en el primer lugar empate con mis lentes de contacto. De lo más esencial. Mi doctor también me lo dijo. Eso es el cargador de mi teléfono. Gracias por venir al estudio. Y pasar un rato conmigo. Estos fueron mis esenciales. Gracias a la gente de EQ, el conejo.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/10 Things Bad Bunny Can't Live Without  GQ.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/10 Things Bad Bunny Can't Live Without  GQ.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/10 Things Bad Bunny Can't Live Without  GQ.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/10 Things Bad Bunny Can't Live Without  GQ.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nWords can't describe the passion that I had for flying jets, living my dream. But words also can't describe some of the fears and doubts I faced every single time I strapped into that jet to fly. I had to deal with this fear and this phobia, this uncertainty and doubt that threatened to paralyze my ability to do what I love more than anything else. And so we're going to talk about commitment today. Commitment number one or wingtip number one is commitment to excellence, to passion and drive. Now I learned about excellence at a very early age. My dad was a mechanic at Kennedy Airport in New York City. He used to come home after a 16-hour day working overtime to feed the family. Cuts all over his hands, grease on his uniform smelling like jet fuel. From head to toe. Love that smell. Was always preaching to the kids. Do it right the first time but don't do it at all was his favorite. He said you hang out with garbage, you're going to become garbage. Be careful who you spend time with on the weekends. The early bird gets the worm. Don't take the easy way out. Pull my finger. So my life changed for me when dad took me and my identical twin brother Dave to Kennedy Airport. When we were eight years old on a little tour. I'll never for the life of me forget jumping onto the tarmac and smelling the sweet smell of JP4 jet fuel fill my lungs. Hearing the rumble of the jet engines, watching the floating birds. I was hooked. And then dad sat us in the cockpit of that 747 jumbo jet and I started to play with the switches. I said dad what's this place for? He said it's the cockpit Rob. It's where the pilot flies the plane. And I knew in a heartbeat that I didn't want to fix the planes like my dad. I wanted to fly them. So I said dad I want to fly these things. What do I need to do? And he said listen son you forgot. You're afraid of heights. Probably not the best career choice for you. And I said I don't care dad I'll join the Air Force if I have to. Which really ticked him off. Because he was a Navy vet. And I said I don't care dad I'm going to do it. I'm going to find a way. Because my passion was greater than my fear. I applied to the Air Force Academy. Made a commitment to step out of my comfort zone. And go for excellence. And I signed on the dotted line and freshman year I show up to swim class. And in the corner of that brand spanking new Olympic sized swimming pool was this 33 feet high diving board staring me down. I freaked out. Perhaps some of you can relate. I looked to the instructor and said excuse me sir do I have to jump off that thing? He said as a matter of fact Cadet Waldman you do. You don't even graduate the academy and have any chance of being a pilot unless you complete water survival training and jump off that diving board with a 35 pound pack on your back. And my mouth got parched dry as I thought this was not in the darn marketing brochure. I jumped off that diving board folks last in my entire class to do it. Because there was no way in heck John that I was going to let 33 feet stand between me and living my dreams. Life isn't always in the brochure is it? You see I jumped. Made a commitment to excellence. And I graduated the Air Force Academy. And was fortunate enough to be in the top 33% and I got to go to pilot training. And in pilot training you have to compete with your peers and there's always a limited number of slots for fighter pilots. And they were cutting back in around 1990 when I graduated. So I graduated at the top of my class but I wasn't number one. And there was only one fighter slot. And Captain Andy Toth got that fighter. I hate that guy. And so I took the next best thing. Which was to be an instructor pilot. I didn't want to be a tanker or a heavy pilot and travel the world in these big cockpits and be bored. I wanted to be pulling G's and flying formation and learning how to do maneuvers. And so I decided to be an instructor and teach young men and women how to fly. And the key was I would re-compete after three or four years of that instructor tour. Get rank ordered and I'd have another shot at choosing my jet. Hopefully choosing my jet. And I was in my dream F-16. And everything was going great for me. I was loving instructing. And then around two years into my flying career I had a missile shot at me. Had nothing to do with flying at first. I decided to go scuba diving with a couple of my buddies. It was in the Caribbean. Never been before and I'm thinking how hard could it be. You put your mask on, go in the water and swim. But five seconds into the water I was wishing I'd paid just a little more attention. And I was in the Caribbean. But five seconds after the first one I got into the brauchen benim and vivo I started to get really tired and a little overly hot. And I said to myself Hey, If you workout with me today on audience, how much guesswork do you need? So like I said I'm have frankly decided I was going to teach sc scholarship. But few before I determine suicide chicken swim. And I thought oh man. Google sc scholarship doesn't work with everyone. The Internet gets closed naturally. I said I don't know what sc sc is and that 99% of all the… propagation that I'll ever say š … … stinging salt water. I'll never forget the feeling. My lungs felt like they were on fire, and I began to choke into the mask. I freaked out, wondering if I was gonna inhale more water. And then I had something called a panic attack. Didn't know what one was up until that moment. Thought I was going to die. No combat mission could come close to that day. And I got out of the water and said, I'm never doing that again. And a few days later, I'm back in the jet, flying a training mission, and the weather was terrible. Madison, Wisconsin, terrible, right? Thunderstorms, lightning, clouds everywhere. Couldn't see the sun, couldn't see the ground. And I started to panic again. I got really anxious and became lightheaded. I looked down at the oxygen. I'm like, there's something wrong with the oxygen. I got to land this plane. But I realized there was nothing wrong with the oxygen, but there was everything wrong with me. And I started to panic again. As I became panicked again and experienced the same claustrophobic panic attack that I had a few days prior. But instead of being 35 feet under the water, now I'm 35,000 feet in the air. Like, I'm claustrophobic. Probably not the best thing for a pilot to have, would you guys agree? And so when I came back to the squadron, the next time I strapped into the plane to fly, and basically, I was like, I'm gonna die. I'm gonna die. And basically, for the next eight years, I had to deal with this fear and this phobia, this uncertainty and doubt that threatened to paralyze my ability to do what I love more than anything else. I would go out on these training missions freaking out. It was like jumping off a 33-feet-high diving board every single day. I was panicked. My fear became greater than my passion, and I became doubtful and uncertain and full of fear. And I'm like, how am I gonna do this? Now, no one knew about this fear that I had, and it wasn't impacting my ability to fly. I was still able to do my job, but there were times that I'd come back from some of these training missions with these wings on my hand saying, I can't do this anymore. This sucks. And by the time I walked into that squadron, I put these wings back on, and I said, one more day, one more day, just get into that jet. And it became easier and easier for me. But I had a secret weapon. You see, when I strapped into that plane to teach these young men and women how to fly, my associates, so to speak, I became maniacally focused on them. How can I teach them? How can I instruct them and serve them and help them live their dreams of putting these wings on their chest, which is one of the most amazing things that can happen in the military? I eventually became the number one instructor in my squadron, number one out of 308 other pilots. They ranked me at the top. So it came down to assignment night, and my commander said, congratulations, Walter, you did it, you're at the top of your class. You can choose anything you want. The C-17, the brand new four-engine cargo plane, travel the world, big roomy cockpit, take a nap. If you're gonna nap in the back, be bored out of your mind, or choose that F-16, the jet of your dreams, Waldo. Mach 2, 9Gs, eight-hour night combat missions in a tiny little cockpit, barely able to move. And I had this choice to make. Do I choose the C-17 or choose the F-16? Do I play it safe and take the easy way out? Or push it up? And you know which one I chose. You see, I didn't wanna have to look back on my life and tell my son, who's now nine years old, guess what? Your dad had a dream to fly the F-16, and as soon as he had the choice to choose it, make the tough choice, he quit. He took the easy way out. Don't do as your dad does, son. Face your fear, take the road less traveled, but you're gonna make it. You're gonna make it. You're gonna make it. You're gonna make it. You're gonna make it. Because on the opposite side of that fear is growth. What I'm challenging you to do is to choose your F-16 every single day, to make that tough choice to realize that we're gonna have some headwinds and turbulence and life is gonna come at us, and we're gonna be full of fear and doubt. That's normal. That's part of earning your wings as a leader, the scars of character that your teammates don't see. And the choice that you make, the example that you've set for your kids, for your associates, for your country, for your community, that's the key. That's the juice. And I'm asking you to think about what that is for you, the green smoothie or the donut, the snooze or to get out of bed and hit the gym, the tough conversation, or maybe to pull it back, not saying anything to somebody else, but somebody that needs to hear your truth, to push it up or pull it back. And this is how we grow, folks. And if I can face my fears and deal with my claustrophobia and fly eight-hour combat missions in a tighter little cockpit, then I believe that you can do anything. So here's my challenge for you. Choose that F-16. Set the example for yourself and for your teammates. And build that courage and credibility and confidence that it takes to lead with authenticity. And serve your women every day. 005 006\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Air Force Pilot Teaches You How To Overcome Any Fear   Lt. Col. Waldo Waldman Speech   Goalcast.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Air Force Pilot Teaches You How To Overcome Any Fear   Lt. Col. Waldo Waldman Speech   Goalcast.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Air Force Pilot Teaches You How To Overcome Any Fear   Lt. Col. Waldo Waldman Speech   Goalcast.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Air Force Pilot Teaches You How To Overcome Any Fear   Lt. Col. Waldo Waldman Speech   Goalcast.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nMy name's Jennifer Lawrence and I'm going undercover on the internet. This is actually me. Let's start with Quora.com. Why are there so many pictures of Jennifer Lawrence showing the middle finger? Because I'm an asshole. How can I get a date with Jennifer Lawrence? Honestly, just ask me. I have not been touched by a man in a very long time. Is Jennifer Lawrence becoming a chameleon like Meryl Streep? No, absolutely not. I don't have the talent threshold. What are a few of the best Jennifer Lawrence memes? I have no way of knowing. I would rather die than watch a meme of myself. How would you describe Jennifer Lawrence in one word? Nice. I'm nice. Right? Okay. Which Jennifer Lawrence item should I get a hardcore fan for Christmas? A Katniss Barbie, right? Reddit. Are Brad Pitt and Jennifer Lawrence dating? No, but I'm not super excited to shut that rumor down. Wikipedia. Yes, it's me. You know. Lawrence says that she finds acting quote stupid and does not believe in being quote cocky about her success. As a role model to young people, she tries to be careful with her words. Well, I think that we all know that that's not true, so we can just delete that. Never really made it there. I'm not sure. I'm not sure if I was right. I think if I was wrong, I wouldn't be saying that. I think I was wrong. I think I was wrong. I think I was wrong. I think I was wrong. I was wrong. I'm not sure. I don't know why I said that. Is it a quote you would never drink? Just delete that. I'm never drinking in an interview ever again. I don't know why I said that, and that quote has been haunting me for my whole life, so just delete. Utvety at mail dot ru. Does Jennifer Lawrence, who started Hungry Games, speak in Russian? No, I don't do that. YouTube. YouTube. Do you think it's a coincidence that Reggie Bush's wife looks just like you? I don't. Can Jennifer Lawrence have her own talk show already? I'm honestly not good enough. It was only because it was Kim. I wouldn't be good at that. I like Jennifer Lawrence, but she always seems drunk. Well, I'm not ever drunk when I'm working. On the weekends, maybe. I think that's probably just me reacting to nervousness. I feel like Jennifer Lawrence is that one best friend who just walks into your house, eats your food right out of your fridge, tries on your clothes, and drinks all your wine. Yeah, that's pretty right, yep. Instagram. Jennifer's first pet was a schnauzer named Ozzy. He hated Jennifer and her family so much that he never wanted to be in the same room as them. As irrelevant as that may be, it's absolutely true. Ozzy hated us. You know how dogs normally like to stay in the room where people circulate the most? He always stayed in the opposite room. Twitter. Twitter. How does Jennifer Lawrence even exist? Are we sure she's a real human? I don't know how to respond to that. I can assure you I'm all too real, unfortunately. Why doesn't Jennifer Lawrence have Twitter? Does she not realize how amazing her tweets would be? If I knew how to hook my phone up to Wi-Fi, then that would be a different conversation. Is it me or does she look like a Hungarian Jennifer Lawrence? I guess she kind of looks like me. Yeah. Was Jennifer Lawrence naked with body makeup in the X-Men movies or was it a skin-tight suit? It was both. For the first movie, I was naked with body paint, and for the last three, I've had a suit. How does Jennifer Lawrence not know what a 3D printer is? I have no idea what a 3D printer is. The idea of that and what somebody tried to explain to me blows my mind that that could exist. It makes no sense. IMDB.com. Trademark slightly husky voice, witty sense of humor. That's nice. Often works with David O. Russell and Bradley Cooper. Not careful with what she says. Kind of a mess, but overall, pretty nice lady. That was me the entire time. The accounts were me. I drank for eight hours. Well, it doesn't look it. Thanks.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/y2meta.com-Jennifer Lawrence Replies to Fans on the Internet _ Actually Me _ GQ-(1080p).mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/y2meta.com-Jennifer Lawrence Replies to Fans on the Internet _ Actually Me _ GQ-(1080p).wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/y2meta.com-Jennifer Lawrence Replies to Fans on the Internet _ Actually Me _ GQ-(1080p).pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/y2meta.com-Jennifer Lawrence Replies to Fans on the Internet _ Actually Me _ GQ-(1080p).pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nDwi'n Dr Charlotte Armour. Dwi'n gwydnod ymchwil yn y Cyfranogydd Cynulliadau Cynulliadau, sydd ar gael yn Norwich. Dwi wedi gweithio fel gwydnod ymchwil am 14 mlynedd, yn fwyaf ar ymchwil ymchwil cymdeithasol, yn edrych ar y cysylltiad rhwng diet a iechyd. Rwy'n gweithio ar brosiect sy'n gysylltiedig â brocoli, y ffordd fwyaf ffawr o'r ffeydd, ac y chemigau bio yng nghymru a sut y gallant effeithio ar risg person o anafu cardiofasgol. Roeddwn i'n dod o'r ild a'n cael fynd i'r llondon, y llondon ystod y rhydd. Mae'r rhieni i mi o Ghana ac maen nhw wedi symud i'r 50au. Daethon nhw i'r Wlondon i ddod i ddod i ffwrdd gwell i'w hunain a'u plant. Pan ddywedodd nhw gyntaf, ac pan es i'n dod o'r ild, roeddem yn byw mewn mesonet bach. Roedd gennym am 3 ystod, ac roedd gennym rhan o'r cyfleoedd a phethau fel hynny. Roeddwn i ddim yn mwynhau hynny, ond yn unig. Yna, symudon ni i fflat cyngor, ymlaen. I mi, fel ifanc, roedd yn wych, oherwydd roedd gen i fy ngartref fy hun. Roedd gennym lawer o fathau gwahanol y gallwn ni ei rhedeg i mewn ac allan, felly roedd hynny'n hynod o gyffrous. Es i i ysgol cymhrydol cyffredinol, ym Mhrydain, ac yna es i i'r ysgol ail-dynol lleol, Ellen Wilkinson. Ac ar ôl hynny, es i i'r Unibertsiwt o Sussex i wneud Chemigau Meddygol. Wel, roedd fy mab yn ddiddorol iawn, yn enwedig fy mab, ar ddysgu. Dysgu, dysgu, dysgu. Rwy'n credu mai un o'r rhesymau allweddol oedd gan fy mab a fy mab, eu bod nhw'n meddwl efallai, os oeddent wedi bod yn nodd yn Lloegr, y gallent gael cyflawni mor fwy na'r hyn y gwnaethent. Felly roedden nhw eisiau i mi, y plant cyntaf sydd wedi bod yn nhw yn y wlad hon, i gyflawni cymaint â phosibl. Roedd y byd yn y fan hwnnw. Roedd Lloegr yn ddyn o gyfleoedd, felly roeddwn i'n ddigwydd i allu cyflawni beth bynnag oeddwn i eisiau. Rwy'n credu, wrth weithio mewn gwydnwst, fe ddechreuais yn Chemigau, wedi symud i Ffermacoleg a Nudrition. Rwy'n credu fy mod i wedi bod yn un o'r rhai fwy o bobl Cymreig o gwmpas, pobl o fewnrwydd ethnig. Nid yw'n rhywbeth sydd wedi fy anodd o hyd i mi, oherwydd mae'r holl bobl rwyf wedi bod â nhw, rwy'n credu, yn bobl ddysgu, ddysgol. Roeddent bob amser yn ddynol iawn. Rwy'n credu bod rhai o'r negatifiaeth sy'n gysylltiedig â'r ddynion cwl yn ddysgu. Rwy'n gwybod bod y bobl hyn o'r gilydd yn ymddygiadol iawn, felly nid oedd yn broblem. Roedd fy mab bob amser yn bwysig. Roedd unrhyw bobl ethnig yno? Roedd yn dweud, nid, nid, roedd yn yr unig un. Roedd hi'n dweud, o, iawn. Roedd yn bwysig. Felly, yn fy gwaith mwyaf diweddar, rwy'n gweithio ar brocoli a'r effeithiau o brocoli yn ymddygiadau cardiofasculaidd. Ac fel prosiect, mae hynny'n fy mhobl yn gweithio â chyfarwyr. Felly, rydyn ni'n cael chyfarwyr i ddod i mewn a bwyta'r brocoli. Rydyn ni'n cymryd samplau blod, felly rwy'n ymwneud â phopeth hynny. Rwy'n ymwneud â'r analisys blod. Felly, mae gennym ni gyflogwr sy'n cymryd y blod. Bydd hi'n ei roi i mi, rwy'n gwneud y llunio hwnnw. Rwy'n ymwneud â chyfranogi'r darparu brocoli. Rwy'n cyffredinol yn cadw'r gwirfoddolwyr yn hapus ar y astudiaeth. Rwy'n analisio'r canlyniadau, rydyn ni'n cyhoeddi papurau ac rydyn ni'n cyflwyno'r canlyniadau o'r holl byd. Fel plant, roeddwn i'n mwynhau'r gwyddon a'r mathemateg, y chemistr, y ffisig, ond nid oeddwn i'n ychydig o blant sy'n ffosio o amgylch chemistr yn y tŷ. Nid oedd gen i set chemistr, nid oeddwn i'n darllen llyfrau ffisig, y math hwnnw. Rwy'n gwneud llawer o fy mhrofiad yn fy ystafell, chi'n gwybod, yn darllen fficsiwn, yn gwrando ar y cerdd, y sgwrs, y hyn, chi'n gwybod, yn cael ei hysgrifennu i Whitley, Houston, chi'n gwybod, y math hwnnw. Ac hyd yn oed drwy gydol fy holl gyrfa gwyddon, chi'n gwybod, mae gwyddon yn rhywbeth sy'n fy mhrofiadu, yn fy mhryderu, ond mae gen i bywyd arall. Rwy'n hoffi hysgrifennu, rwy'n hoffi bod yn cymdeithasol, rwy'n hoffi mynd allan, chi'n gwybod, dyna'r math o beth rwy'n ei fwynhau. Ac i mi, mae'n fath o bywyd cyfathrebu da iawn rwy'n ceisio arwain. Rwy'n bod yn ffodus i fynd i lawer o lefydd gyda gwaith ac allan o waith, ac un o'r pethau hynod o ddiddordeb am fynd i'r trafod yw'r bwyd, chi'n gwybod, ceisio gwneud pob peth gwahanol. Felly rwy'n ceisio dod â llawer o'r pethau rwy'n eu gweld yn y wladau rwy'n mynd i, i'r tafod yma a'u cymdeithasu. Felly mae'n rhywbeth o'r cyd-dwy ffyrdd a'r ffyrdd o fy mhrofiad. Yn y bôn, gweithio fel gwyddonwr, fel rwy'n ei fod, yw swydd gwych. Mae'n amlwg. Ni fydd un diwrnod yn yr un peth. Rwy'n cael mynd i fynd i fynd i gael cwrdd â phobl. Rwy'n cael mynd i gydweithio gyda'r cyhoedd. I chi, i rywun a ddechreuodd ar y cyhoedd yng Nghymru yn y 70au, rwy'n credu fy mod wedi bod yn iawn.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "no ptsd", "images": [], "videos": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Charlotte Armah's story.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/NO PTSD/Inspiring scientists Charlotte Armah's story.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/NO PTSD/Inspiring scientists Charlotte Armah's story.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/NO PTSD/Inspiring scientists Charlotte Armah's story.pt"], "task": "ptsd_cls", "class_label": "no_ptsd"}
{"problem": "<video>\n<audio>\nPan fyddwn ni'n mynd allan o'r bocs, yn amlwg, rydyn ni'n gwneud ein llwyth yn ystod y sti, ar 10.31, gwneud ein ffordd drwy ac yna'n amlwg pan ddywedodd Simon y Baird ei ffwrdd llwyddiant. Allwch chi ddweud wrthym am y nos, pwy fyddwch chi'n mynd i'r cwnsert gyda a phwy fyddwch chi'n mynd i'w gweld? Felly roeddwn i'n mynd gyda fy mab, Yve, roedd hi'n 14 yn y pryd ac roedd y ticwyr wedi'u prynu fel rhywbeth ar gyfer Ymrwymiad. Yn ffordd y byddwn i'n dweud, roedden ni wedi treulio'r amser mab a mab, yn mynd i'r cwnsertau ac yn amlwg â'r cerdd a'r canu, felly ie, roedd y nos yn ddiweddoriaeth o hynny. Felly roedden ni, roedden ni yn un o'r cyntaf cyntaf o'r bwysau yn y, mae'n fath fel o hyd yn y ffordd i'r hwyr yn yr arena, felly os oeddwch chi, os oeddwn i arianna grande yn cael cerdd yn y stagio roedden ni'n fath fel y cyntaf o'r cyntaf yma. Pan ddododd hi allan, roedd yn amlwg yn ymddangos i'r gwyliau ond roedd yn llwyr iawn yn cael ei ddod yn fy ngwyliau, roedd hynny fel, yn onest, roedd yn dda iawn ac ie, roedd hi'n rhoi'r sioe yn dda iawn. Roedd yn gynharach o'r cyntaf. Beth ddigwyddodd ar ôl i'r cyntaf ddiweddar? O ble wnaethoch chi fynd? Rydych chi'n gwybod pan fyddwn ni, pan fyddwn ni'n mynd allan o'r ffoc, yn amlwg, rydym yn gwneud ein cyntaf yn ystod y stafell ymlaen yn 10.31, gwneud ein ffordd drwyddo ac yna mae'n amlwg pan fyddai rhywun wedi'i ddewis, ei ddewis yn gyntaf. Ac a allwch chi gofio'r foment yna, a ddigwyddodd pan ddegodd y bomb? Ie, ie, rydyn ni'n unig 6 metr yn gwybod, rydw i'n unig yn dod o hyd, yn gyntaf roedden ni'n cael gwybod ein bod yn 10 metr yn gwybod, ond rydw i wedi dod o hyd, 4 neu 5 wythnos yn ôl, bod ni'n unig 6 metr yn gwybod. Ie. Rydw i'n cofio, roeddwn i'n teimlo'n ysgafn ac rydw i'n meddwl, yn amlwg, nid oeddwn i'n gwybod mai oedd yn bomb. Yn ddechrau roeddwn i'n meddwl fy mod wedi cael fy nghyffwrdd neu'n cael fy llawr ac nid oeddwn i'n gallu cael fy llawr, felly roeddwn i'n panig oherwydd roeddwn i'n meddwl, mae'r hyn sy'n digwydd, nid oeddwn i'n gallu cofio. Ac yna rwy'n credu y dylai i mi gael amsicrwydd yna oherwydd y peth nesaf, rydw i'n llai ar y llyfr ac yn ymwneud â'r ffordd o ddynnu ar blwyd ac yn amlwg, rydw i'n gallu gweld fy mod yn llwyddo llawer o blwyd. Ac yna yn amlwg, rydw i'n gweld y bydd Yves ddim mewn ffordd da ac yna dyna'r peth rydw i'n gwybod o'r ffordd sy'n digwydd yn ystod ystod yr ystafell fod yn amlwg yn bomb. Felly ie, rydw i wedi gweld ffoteg yn diweddar un second cyn datenaeth. Mae'n cymryd amser i mi gael fy nghymryd ymlaen i weld y ffigur hwnnw ac yna gweld y ffigur nesaf lle mae pawb o'n gilydd yn ystod y llyfr ac am ryw ffordd mae rydw i a Yves wedi parhau. Felly ie, mae'n cymryd amser i mi gael fy nghymryd ymlaen. Mae llawer o'r bobl sydd wedi marw wedi cymryd ymlaen. Felly, fe wnaethon nhw dynnu'r sgwrs ymlaen, yn y bôn, i'w cynnwys. Yn anffodus, roedden ni wedi mynd i'r gorff. Felly roedden ni wedi cael ein llwybrau wedi'u gwneud a'n anffodus roeddwn i yn ymlaen â Yves. Felly yn y bôn, os yw'r sgwrs yn dod o hyd i'r traedeg, fe wnaethon i dynnu Yves. Felly, yn anffodus, fe wnaethon i dynnu Yves o'r blast. Yn y bôn, fe wnaethon i dynnu Yves o'r blast. Roeddwn i'n gwybod nad oeddwn i mewn ffordd da. Roeddwn i'n gwybod bod i'n marw. Roeddwn i'n gwybod bod i'n llwyddo llawer o blwyd. Roeddwn i'n cofio dweud wrth fy hun, nad ydych chi'n mynd i'w gwneud. Mae gennych chi un swydd i'w wneud nawr, a dyna i sicrhau bod Yves yn cael ei allu. Roeddwn i'n gwybod os ydw i'n clwyddo fy ngwyliau, byddaf yn ddod. O ran y math o blwyd roeddwn i'n ei llwyddo. Roeddwn i ddim yn sylweddoli faint o'r llwyddoedd oedd fy hun, ond roeddwn i'n gallu ddweud o'r llwyddoedd o'r blwyd, nad oeddwn i mewn ffordd da. Fel dad, beth oedd yn ei fodloni i weld rhywbeth fel hyn yn digwydd i'ch gynnal? Y peth gorau o hynny. Roeddwn i'n rhoi amser ar fy hun i'w llwyddo. Fel y byddai'r rhain o'r dadau, roeddwn i'n dweud i Yves, nad ydych chi'n cofio pan fyddwch chi gyda fi, oherwydd byddaf yn eich diogelu a'ch cadw'n ddiogel ac na fyddai unrhyw beth i fynd i'r llwyddo. Felly, mae'n deimlo fy mod wedi'i gadael i lawr a wedi ffail fel dad. Mae'n ddewis i mi fod yn gweithiwr arferol, mae wedi cael rhywfaint o'r llwyddo. Felly, mae'n deimlo'n rhywbeth o'r ddifrif am hynny. Roeddem yn sgwrsio am help ac roedd pobl yn dweud wrthym fod paramedicaid ar gael ac roedd help ar gael, ond roedd yn teimlo fel bywyd am bywyd. Mae llawer o bobl wedi dweud, fel mae fy ffilm wedi dweud, roeddent bob amser yn poeni ac yn llwyddo am fi oherwydd roedden nhw'n meddwl fy mod yn llawer o pwysig ac yn poeni ac yn ystod hynny, ond nid oeddwn i. Roeddwn i'n calm iawn ac nid oeddwn i mewn unrhyw pwysigrwydd. Yn wir, roeddwn i'n dweud, roeddwn i'n llythyrol yn cyfranhau ar Yves ac roeddwn i'n ysgrifennu fy mod i'n ysgrifennu, oherwydd roeddwn i'n gwybod, os oeddwn i'n panic, roeddwn i'n deall bod yn llwyddo mwy. Felly, i feddwl am bethau fel hyn pan fyddwch yn marw, mae'n ddifrifol iawn. Ond roeddwn i'n cyfranhau bod yn debyg nad oeddwn i'n mynd i'w wneud ac roeddwn i'n dweud i Chris, y gwartheg diogelwyr, a oedd gyda fi, dwi'n gofyn i fy mab ddod o hyd i mi. Rwy'n credu, un secund. Rwy'n dweud hynna'n llawer o gysylltiadau. Ie, does dim o ddweud y bydd hi'n mynd i'w haws, ond... Rwy'n credu bod pobl... Rwy'n credu bod pobl... Rwy'n credu bod pobl... Rwy'n credu bod pobl yn deall, i'ch meddwl fynd trwy hynny a'ch cofnod i fynd trwy hynny, i wneud yn ffyrdd â chi, ac yn debyg, fel cyflawni'r sefyllfa. I ddweud i bobl nad ydych chi'n ei wybod, i ddweud i'ch gweithiwr, eich ffrind, nad ydych chi'n mynd i weld unrhyw un eto. Mae'n ddifrifol i gydnabod hynny. Mae'n ddifrifol i gydnabod hynny. Dyna pam rwy'n hapus iawn i fod yn fyw. I mi, mae'n ddifrifol i fynd trwy hynny, a dechrau ymwneud a bod yn unig ac yn ysgrifennu. Mae'n ddifrifol i gydnabod hynny. Mae'n ddifrifol i gydnabod hynny. Rydyn ni'n cael ein cymryd allan ac yna rwy'n rhoi'r gorau. Rydyn ni'n cael ein cymryd allan ac yna rwy'n rhoi'r gorau. Rwy'n dod i fyny ac mae hynny'n ddifrifol. Dyna'r diwedd rwy'n gwybod am unrhyw beth, hyd yn oed am ddwy wythnosau nesaf, pan fyddaf yn gofio'n gyrff gynhyrchu. pan fyddaf yn gofio'n gyrff gynhyrchu. Roeddwn i'n sefydlu ac yn siarad am ddwy dydd nesaf, Roeddwn i'n sefydlu ac yn siarad am ddwy dydd nesaf, ond dydw i ddim yn cofio hynny. Mae fy nghymryd cyntaf yn ddewis am ddwy wythnosau nesaf, Mae fy nghymryd cyntaf yn ddewis am ddwy dydd nesaf, ar relijk emIEdκαf nesaf. ar r heroin agor ar gyfer oedi gofalu kim. ar yr Cristijan kingden ham stŵc. ar yr Cristijan kingden am gydad i gymhwysu slwr eidradau. ar yr Cristijan kingden am gydad i gamod. Ar gyfer sydd wedi bod yn gwerth Ashwando ngot, ar gyfer sydd wedi bod yn gwerth Ashwando ngot, wedi cymhwyso doedd ati 1 cryptodwараeth yn llwyth WMG a 22 sguithnol. Yw concreteld am ddewi sw Flower at T10? Yw createld am ddewi sguifer at T10? ar y lefel T10, sy'n golygu bod yn paralyddol o'r belled i lawr. Roedd gen i un sydd wedi mynd drwy fy nghym, wedi ffwrdd fy ngylch, fy tibia, fy fibia. Ond y llwyth oedd wedi cymryd fy nghym a'r llawr o'r nec, roedd gen i ddwy arteriaid. Ac wedyn, ie, fe wnaethon i'w ddynu, a ddod yn fy mhobl. Oedd hynny'n llwyr llawr? Wel ie, ddim yn gallu ei ddangos. Mae'n ddifrifol sut y byddwn ni'n agos. Roedd pobl wedi marw, mae pawb o'n gilydd wedi marw yn unigol. Felly, ie, ddim yn gallu ei ddangos. Dydyn nhw ddim yn dweud wrthi am Yv. Roeddent yn dweud bod hi'n byw, oherwydd roedd hi'n ddynu i fy nghym. Roedd hi'n ddynu am eithaf amser, oherwydd roedd hi'n cael ysgrifennu'r coel ymddygiadol. Yn y bôn, roedd un o'r ddynion wedi cael ei ddangos ac yn y bôn, roedd hi'n cael ei ddangos. Felly roedd hi'n ddangos yn dda am amser. Felly doeddant ddim yn meddwl y byddai hi'n mynd i'w wneud. Felly roeddant yn cadw, ac nid wyf yn cael unrhyw adolygiad o'r peth, ond yn amlwg roeddwn i'n gofyn yr holl amser ac roedd hi'n byw. Felly mae'n rhaid i chi gynnal eich hynny ar eich hun nawr. Ni allwch chi ddweud hynny i'w dad, oherwydd dyna'r hyn rydych chi'n ei fyw ar ei ôl. Fel teulu, sut mae eich bywyd wedi newid ers y dydd hwnnw? Mae'r Martin sydd gennych chi ymlaen yn y ffordd sydd ddim yn yr un sy'n mynd i'r oren y nos hwnnw. Mae'r Martin wedi marw y nos hwnnw. Ac mae'r newydd wedi'i fwyddo. Felly mae'r bywyd rwy'n ei wybod a'r bywyd rwy'n ei gael wedi diwedd y nos hwnnw. Felly mae'n rhaid i chi ei enwio. P'un a yw cael ystafell, mynd i'r toalet, sut rydych chi'n gyrru, gwylio eich hun, sut rydych chi'n dod i lleoedd, ble rydych chi'n aros. Mae'n effeithio ar bob... ffordd o bywyd. Rwy'n credu bod pobl yn edrych arna i a'n meddwl, mae'r peib yn anodd i'w ddal. Ond mewn gwirionedd, mae'n gyflym iawn i chi ddal eich llaw. Mae'r holl bethau arall yn parhau i'w ddalu'n unigol. Ac dyna'r peth sy'n ei ddifrydoli. Dyna'r peth y byddwn i'n cael fy ngwneud yn dda. Byddai'n fy ngwneud yn dda. Dyna'r pethau nad ydych chi'n meddwl y byddwch chi'n cael eu llawu. Ydych chi oes gennych chi adroddiadau i'r digwyddiad? Ie, bob amser. Ie. Yn aml i bob nos. Yn aml i'r peth cyntaf a'r peth diwethaf ydw i'n meddwl amdano. I bob dydd. I bob peth rydw i wedi mynd drwyddo ar y nos i fod wedi gweithio ac i fod yn fyw ac i fod yn un peth, fel i siarad. Er bod gen i ddwy ffrwydr yn dweud wrthym i nad oeddwn i'n mynd i'r gweithio eto. Er bod gen i... Roeddwn i ddim yn hapus amdano. Roedd yn debyg, wel, rydw i yma ac rydw i'n byw, felly byddaf yn mynd i'r gweithio. Ond roeddwn i'n cofio... Y peth cyntaf a ddywedais yw nad oes gen i ddod i fynd i fynd â'r ddog i fyny ac nid oes gen i ddod i'r gweithio eto. Rhywbeth ddifrifol. Ond roedd yna bob amser... Rhywbeth o... Rhywbeth o... Wel, rydyn ni'n credu, rydych chi wedi dweud hynny i mi. Pan mae'r rhheab yn dechrau? Felly rwy'n credu bod nhw wedi'u gwneud i fyny. Ac rwyf wedi gweld... Pan es i i'r uned sbarnel, y gwybodaeth a wnaethon nhw arna i. Ac roeddent wedi dweud nad oes gennynt ddiddordeb fel hynny. Roeddent yn brygu amdano am hynny. Roeddent wedi dweud, dwi ddaw i gael breitdiad a... Rhywbeth o... Totall. Ac nid oes gen i ddweud hynny. Rwy'n credu. Dwi ddim yn mynd i ddewis amser yn gwneud hynny. Rwy'n yma a ddweud wrthi beth rwy'n mynd i'w wneud. Ac rwy'n gwneud hynny. Ac dyna beth rwy'n... Yn fath i mi gael ei gynnal. A sut mae'r gwaith eich gynnal i chi heddiw? Mae hi'n gwneud yn iawn. Y tro cyntaf rwy'n mynd i fynd i'w gweld, un o'r pethau rwy'n cofio yw... Mae un o'r cynghoryddion yn Manchester yn dweud... Yn fath, mae hi... Yn fath, nid yw'n mynd i fod llawer yno. Nid yw hi'n gwneud hynny. Nid yw hi'n gwneud hynny. Nid yw hi'n gwneud hynny. Nid yw hi'n gallu symud. Yn fath, mae hi'n debyg ei fod yn y sefyllfa bwyd. Ond nid ydym ni wedi cwrdd â hibot o'r blaen. Nid ydym ni'n hoffi cael ein bod yn cael ei ddweud beth i'w wneud. Felly, ie, felly nawr, mae hi'n gallu gweld, mae hi'n gallu clywed. Mae hi'n siarad yr holl amser, sy'n wych. Roedd gen i fideo gwych ychydig wythnos yn ôl o'i gwneud rhywfaint o'r gyrff, yn ymgymryd, mae hi'n ysgol, yn ôl ysgol, nid yn gyffredinol. Mae hi'n mynd i ysgol gwahanol. Bydd hi'n debyg ei fod angen gofal am y bywyd arall. Ond fel y dywedais, chi'n ei ddewis, chi'n gwybod. Oherwydd mae 22 o'r teuluoedd yn ei ddewis y bore ddyfodol. Dwi ddim yn gwastraffu'r diwrnod. Ie, dwi'n ddigon hapus i fod yma. Oherwydd, chi'n gwybod, dwi ddim yn dweud mai dw i ddim yn ddigon hapus i fod yma. Dwi'n meddwl ei fod yn grim i mi, ddim i fyw y bywyd i'r cyfan, ac i helpu pobl sydd ychydig yn lles ffortunaeth na mi. Oherwydd, dwi'n meddwl bod gen i'n bywyd am rywbeth. Ac dwi'n credu dwi'n gwybod, dwi dim ond yn ychydig yn gyntaf wedyn, dwi'n teimlo fel ydw i'n gwybod beth yw hynny nawr. Felly, dwi'n mynd i newid y byd o fy mhrofiad fy hun. A dwi'n cofio i ddatganu fy ffôn a bod Whatsapp arno, ac fe wnes i ddod i ben Whatsapp a clicio ar y camera. Ac y peth cyntaf i ddod i'r ffilm, fe wnes i weld beth, dwi'n credu, y gwyddoedd y byd yn gweld.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Terror Attack/How I Survived A Terrorist Attack at Ariana Grande's Tour _ Minutes With _  @LADbible TV [7-jiJJ29BzU].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Terror Attack/How I Survived A Terrorist Attack at Ariana Grande's Tour _ Minutes With _  @LADbible TV [7-jiJJ29BzU].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Terror Attack/How I Survived A Terrorist Attack at Ariana Grande's Tour _ Minutes With _  @LADbible TV [7-jiJJ29BzU].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Terror Attack/How I Survived A Terrorist Attack at Ariana Grande's Tour _ Minutes With _  @LADbible TV [7-jiJJ29BzU].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nHello there my beautiful lovely internet friends, welcome back to my channel. It is delightful to see you here where today we are gonna be talking about ptsd, post-traumatic stress disorder. And yes, I am a little overly animated at the beginning of this video because I did just eat an entire box of macaroni and cheese all by myself. And yes, this is coffee. I've mentioned more than once in passing on this channel that I've dealt with post-traumatic stress disorder, otherwise known as ptsd. I was diagnosed a number of years ago, but I've always brushed over it. I've never talked in depth about what that has been like, how it still presently affects me, and what led to that diagnosis, like what actually happened. On screen right now, you're gonna see a few content warnings of some subjects we will be brushing upon in this video. If you do not feel like hearing about any of these, click the link down below. I have placed a very cute puppy video just for you instead. As we dive in here today, I do want to give a big thank you to our sponsor Surfshark. I really appreciate sponsors, especially on videos like this talking about mental health because generally they get demonetized. So a quick word about this, I'll be sharing some of the information I've learned about them as we get started. Surfshark VPN is a service that allows you to safely and securely browse the internet to your heart's content while keeping your identity and information safe. As we all know from the office, identity theft is not a joke, Jim, and it really isn't a joke. Identity theft is a huge issue, costs people hundreds of thousands of dollars every year, and using a VPN can help keep you and your information safe. Now, if that's not thrilling enough for you, it also allows you access to a lot more entertainment. For instance, if that show you love is no longer available on Netflix, just change your country through your VPN, connect through Germany or Japan, and suddenly because entertainment is licensed differently in different countries, you're able to watch that show again. I would highly recommend using them as I use them myself. Now, if you use the link in the description down below, you can get 83% off. That is quite the deal. I appreciate you giving it to my audience, Surfshark. So stay safe on the web, check it out down below, and let us continue with the video. So if it's alright with you, I'm gonna sip some coffee, and I'm gonna tell you my story. The year was 2010 when I returned back to Colorado from a school I was attending in Indiana because of health issues. When I got back here, I was very lost, very lonely. I loved it out there. It felt like home. Colorado was not for me, but I was stuck here, and I ended up getting involved in a house church that people I had known for a long time were running. Pretty soon after starting to attend regularly, I struck up a friendship with one of the leaders. He was a good few years older than me, and we started chatting and hanging out, and he was a really interesting guy. He was very hard to get to know. He was very mysterious, which at that point in my life was something that was kind of attractive, because like, who are you really? Let me get to know you, right? So this friendship turned romantic very quickly, and from the very first moment that we were actually alone together, there were red flags, like him not respecting me saying no to things, because at that point, I was a sheltered little Christian girl, and even kissing felt like going too far, but he was a leader. He was someone I saw as a pastor. I trusted him. I understood that, you know, men struggle with this kind of thing, and it was probably something I was wearing or something I was doing, and so that was my fault. We had a conversation about it. It's not gonna happen again. He's gonna listen to me the next time I say no to something. Okay, great, but as you might know, that's not how these situations go, and so as time progressed, things got worse and worse and worse. My boundaries, my physical boundaries, were never actually respected. He continued pushing and pushing and using a lot of spiritual and emotional manipulation. It was a very bad relationship with a very messed up power dynamic that got increasingly more, especially sexually abusive, as time went on, and oh so very spiritually manipulative. And the thing was, at this point in my life, my faith was my entire world. Like, following God was all I cared about, and serving Him, and serving His people, and so that was very much used against me. I'm gonna spare you and me from having to relive all of the details, but a long story made short. In October of 2011, he raped me, not for the first time, but the circumstances surrounding that particular instance finally became clear to me that something was really wrong. I felt like something broke in me. I remember literally driving away and feeling like I had split down the middle, like there was a piece of me that was like, that's totally fine. Everything's fine. It's a misunderstanding. You probably did something wrong. Then there was another half of me that was gutturally screaming, something is wrong. And I'm really grateful that in that one moment, I was able to listen to the side of me that was screaming and did recognize something wasn't right here. I didn't recognize the extent of it, but I was aware of it enough to exit that relationship. Trauma is a very funny beast. I look back at the first few weeks and few months after the worst of what happened, and I was unbelievably not okay. I was unbelievably not okay. I did end up going to the police. I did press charges. Nothing came of it because as I was told from the district attorney, juries don't really believe women in cases like this and you don't have hard evidence, so we're not going to do anything with it, which was very disappointing to say the least. Now, another piece of the story is that later I found out that I was by no means the first person that this guy had assaulted. He had six other restraining orders against him, which is a lot of restraining orders. Two convictions of domestic violence was literally in the midst of the first one. And that was in the midst of another sexual assault case against a minor. Like, we're talking legit sociopath, scum of the earth. But looking back, I am so incredibly glad that I was able to exit that relationship when I did. And there aren't words descriptive enough to tell you how broken I was, in the weeks and months following that event and leaving that relationship. Like, I was a different person. I legitimately considered getting a gravestone tattoo with that date because it was so significant to me that I was no longer here. The Jo before that moment was dead. She was gone and now I was here in this horrible, awful world that had just been exploded for me. I was previously of the illusion that the world was a safe place, people were good, God would always take care of me, everything was gonna be alright, and suddenly all of that was called into question. The community that I had at that time did a good job of trying to support me but was not equipped to actually get me what I needed. I had a lot of very poor experiences with people telling them what had happened and having my experience denied or minimized, having my feelings minimized, being told to get over it. I was very involved in this whole thriving alive community and suddenly I wasn't. Suddenly I was different, I was an outsider, I felt that way. And as time went on pretty quickly I was thinking about ending my life like all the time, like every single day. Sincerely the only reason I didn't is because of this dog you see right here. I got a German Shepherd because I felt very unsafe and also I love dogs and she is the... greatest blessing of my life at that point. And someone needed to feed her so I kept coming home and not driving my car off a bridge, which I'm very grateful for. And so eventually I started going to see a counselor. Not too long into our sessions together she asked me if I'd ever heard of something called ptsd, post-traumatic stress disorder. And I said isn't that what soldiers get from war? And she said yes, sometimes. And also it's what a lot of sexual assault survivors experience as well. At that point I was having nightmares just about every night. I was hyper vigilant to oh my god an extreme I think of some of the things that I did and some of the things that I thought and how ridiculously on guard and aware I was in every moment. And I almost have to laugh because it was so extreme. It was understandable given the experiences that I had. I started suffering from significant depression and panic attacks and felt so isolated and disconnected and just dead inside, but also feeling everything at the same time. So after a number of our sessions together she said you know you have post-traumatic stress disorder, this is what you're dealing with. And at that point it was honestly kind of a relief to hear because I felt like I was losing my mind. I felt like I was a crazy person and being able to have a name for the state of mind that I was in was amazing. Knowing that other people experience things like when they saw a certain color or someone smelling a certain way, we're suddenly back in the worst moment of their lives, and just started to panic. Like I was glad to know that flashbacks are actually a thing that happened to people and I wasn't the only one. ptsd made me isolate a whole lot, which is not super helpful when you're trying to heal from something. However, it felt like it kept me safe. Staying inside and not being around people and not talking to people and being in a controlled environment with my German Shepherd next to me. Like I was still stuck with my brain, meaning that I felt like I was in hell, but at least I didn't have to deal with all the additional input and the triggers and the tension and the things I needed to be vigilant about and so I isolated, which was a very dangerous thing to do with my brain in the position that it was in. And a big part of surviving that was the friends who didn't ditch me because I didn't respond to their texts for weeks on end. I remember napping a lot at that time in my life, which might sound like a weird thing to mention, but my brain was so constantly overwhelmed and in like hyperdrive that I was so exhausted. Like we're not meant to feel like we are in imminent danger most moments of the day. So I was not able to feel my body in particular, but I also didn't have a whole lot of desire to actually be attached. Like the numbness was overwhelming but not being numb was too painful, so it's kind of a double-edged sword. So I got that diagnosis of ptsd and what that has looked like for me over the years has shifted quite a bit. It frustrates me sometimes that being triggered is such a commonly used term now that is no longer associated with trauma, but the way that it was used when I was diagnosed anyway is it had to do with actually having a trauma trigger as in something that brought you back to the moment of trauma. Feeling all those physical sensations, you know the panic, all of that. And in the beginning there were so many of those for me. Seeing people who I knew knew him, pure and just utter panic. I was like the most trusting person in the world before this, but after I was suspicious of literally everybody, and I do mean everyone, that one has taken a long time to work out of and I will be honest I am still pretty guarded. Even though to most people I appear like a fairly open book, it is still hard to to not kind of always have a little bit of a wall between me and other people. The nightmares that I had the first few years in particular were horrific. You probably know this, but when you can't get good sleep it affects the rest of your mental health and so I almost think the nightmare portion of ptsd is one of the most brutal ones because there's nowhere that's safe. Like the world doesn't feel safe when you're awake, but it sure as hell does not feel safe when you're asleep because your brain just attacks you with these subconscious demons. One of the most horrible things I could ever say about ptsd is it gets better. It gets better with work and with time. And I did put in that work and I have taken that time and I am a significantly better place than I was. I can't even begin to state how different of a person I feel now than even three, four, five years ago. It was only this past October, I made a video about this, I'll link it, that I was able to go back to the city where that happened alone and felt okay. It's like nine years after. A few months ago out of absolutely nowhere I had a really bad trigger where my husband did something playful when we were in our kitchen. We were literally just like joking and playing around and he said something and like, like that. All of the sudden. I'm not sure if this will make sense but it literally saw our house as the house where those things happen to me. Like we have hardwood floors everywhere but like I was seeing pink carpet and I realized I could still see that the floors were wood but like my brain was telling me they're pink carpet, get the hell out of here. But honestly that's the only significant flashback I have of ptsd. Oh no, no, no, no, no, no. I can see the I've had in like a year. Aside from that, I have small moments of getting very overwhelmed with the subject or the topic. People say something that's particularly insensitive. Occasionally I have a very difficult time, but I'm at a place now where the nightmares are pretty well under control. A lot of my triggers are worked out. We're good there, but the hypervigilance is one that's very difficult. Like being aware of every door and every window, every entry and every exit, always knowing where my back is, being very aware of who's in the room, who's out of the room, knowing if someone comes up behind me, freaking out if I can't tell that they're there. Like that hasn't quite gone away. So when anyone asks me about healing from or getting better with ptsd, there are two things I always recommend. The first is a trauma-informed therapist. Worked amazingly well for me and I was grateful to have access. And secondly, a therapy treatment called EMDR. It's eye movement desensitization. EMD, eye movement desensitization. The R stands for something as well. I'm going to put it on screen and look like an idiot as I'm saying this. But it is this ridiculous sounding thing where you're like moving your eyes back and forth, following a light bar and maybe holding things that vibrate in your hand at like, as you're going back and forth, as you're kind of processing through some things. And oh my God, it worked incredibly well to dampen the severity of some of the flashbacks that I was having and start helping me feel like a real person again. It was amazing. And aside from that, figuring out my identity as this new person, because I do still feel like to some extent there was the before Joe and the after Joe. I realized we're the same person. I realized that Joe didn't die, but I lost so much of my identity and my community and who I was, not only with what happened, but everything surrounding the relationship and a lot of things that happened after leaving that relationship, that it's taken years to figure out who I am, what I like and what I don't like, things that bring me happy and things that don't bring me happy anymore. Just who I want to aim to be. And that has been discovered by lots of experimentation and trying new things. I fought an MMA for two years and that was incredibly healing to me. And I've done jujitsu and, and I've done a lot of other things. And I've done a lot of yoga and art and rock climbing and a lot of journaling, some coding, a lot of time hanging out with animals, just trying to figure out what makes me feel alive and what's worth staying alive for. This could be a whole video in itself, but the relationships, specifically my marriage, especially in the beginning, I really had to fight for because ptsd is just a beast. It is an absolute agonizing thing, especially when your trauma is related to a relationship and you're in a new relationship that is healthy, but you still have tons of happy. And I've done a lot of triggers and it's not the new person's fault, but it's, it's, it's a challenge to work through. And Brian is an absolute rock star and has really honestly helped me through so much of this. Finding safe people to talk to is also so important. And let me tell you, when I say that that takes a while, I really mean it can take a while. It took me years to find people who were really like my people, who were really safe for me to be around, to talk to, to actually be authentic, to say real things. Like people who were there to support me. I had some very good friends who have been with me through the whole thing and they are incredible. For a long time there, I found it really important to connect with other survivors of this type of trauma so that I didn't feel so damn alone and weird and broken and crazy and talking to people who have been there, talking to people who are a little bit further along in their healing process, talking to people who are maybe just coming out of something like this and realizing that you have something to give them, you have something to offer them because you've healed a little bit. I will say people tell me all the time and are very generous, uh, telling me how inspirational I am for, you know, going through the loss of my limb and how I've gone through that and all of that. But, but I cannot tell you, and you guys have seen on this channel how difficult that's been in some moments. I cannot tell you how much harder it was to survive that trauma, the aftermath of that trauma, the ptsd, the depression, the suicidal thoughts, the panic attacks, the nightmares, the triggers, the flashbacks, so much harder, so much harder than losing a limb. And I think part of that is probably that I gained a lot of skills, and the process of healing from that, that I was able to take with me into this other major deal of losing my leg. But people look at amputees and are like, wow, that's so heroic to, you know, still be living life like that. Or wow, that's really inspirational. But man, people who can survive and fight through mental health challenges are, in my personal experience and only my experience, it's so much harder, so much harder to do. One of the best things that was ever said to me about some of the symptoms of ptsd, as I feel like I'm losing my limb, I feel like I'm losing my mind, is that you're having a normal reaction to an abnormal situation. When humans experience these life-altering, mind-changing events that leave us with mental and or physical scars, it is very understandable that our minds and our bodies are changed, that we have reactions that might not make sense, reactions that might not make sense to us or other people, but are understandable given the trauma that we have gone through. Learning to accept that allowed me to have some compassion towards myself, and instead of berating myself for this trauma brain that I was living in, it started to allow me to see myself as someone who got very hurt and was simply healing. Like I said, I definitely still deal with some of the symptoms of ptsd depending on the day, depending on the time, depending on the year, but it is no longer the thing in my life. It's no longer a controlling force or factor. It's something I'm aware of and occasionally pops back up and I have to process it and cope with it and continue on. The first number of months, and I would even say the first couple of years, I was very convinced that I was, always going to feel this way. I was always going to feel so empty and terrified and unsafe and vigilant and have nightmares and triggers and just feel like an alien and feel horrible, just awful. And it's not true. That's not true. If you find yourself dealing with something, whether it's mental health, physical health, whatever it is, and you find yourself in a really dark mental space, I can tell you from personal experience, I promise you there is a way that it can get better. It can take time. It can take hard work. It may take trying a variety of different things, but you are not going to feel this way forever. It really does get better. And you just have to keep going to sleep and waking up, doing one more day, one more step at a time, working slowly but surely forward, and you will find your way out of the muck. Thank you so much for listening to my story. I truly, really appreciate it. You guys mean the world to me, all of you. It amazes me that you'd be willing to take however many minutes this video is, maybe 20, 20 minutes out of your day to listen to me. Thank you. I hope you're doing well. I hope you're taking care of yourself. Big thank you again. Thank you Surfshark for making this video possible and to my patrons, my incredible, gracious patrons for supporting this channel. And to you watching this video right now, you could be anywhere else in the world doing anything else, and you chose to hang out with me for a few minutes, and that means the world to me. Thank you. I love you guys. I'm thinking about you, and I will see you in the next video. Bye, guys. The more you love, the more you live.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Sexual assault   MST/vidm169.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Sexual assault   MST/vidm169.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Sexual assault   MST/vidm169.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Sexual assault   MST/vidm169.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Kyle. I was in the Marine Corps. I served as a field radio operator from 2002 to 2006. My dad was a Marine. He did 20 years. Seemed like a good life to me, so I kind of just followed in his footsteps really. It was right when I was graduating high school, was around the same time that 9-11 happened. 9-11 was really the thing that pushed me over the edge. Partway through our deployment to Okinawa, it was, oh actually we're going to Iraq. I ended up in Fallujah, the last insurgent hotbed is basically how they described it. It really is like a dangerous situation. All of the bad guys have been kind of concentrated into this one city, and that's where you guys are going. So it was kind of ominous going in there. Kind of expected there to be some heavy casualties, and there was. It affected me quite a bit. When I first came back, I was drinking pretty heavy. I was just kind of generally more irritable, having more kind of like outbursts. I thought we would get out and be heroes. People just canned us these great jobs. Marines are too stiff, was what I kept getting told. So finding work was tough. Got into a bar fight on my birthday. I got arrested, and by 2009 I ended up in a mental institution. Four-year sentence. Out of that came a connection to the VA. The VA did pretty much all of my mental health. I was in a mental health hospital, and I was in a mental health hospital. My mental health was really kind of what I needed. With ptsd, there's a lot of stuff to sift through. That was my introduction to mental health. I had the psychiatrist there at the outpatient clinic. I had a psychologist there. Did a whole lot of regular cognitive behavioral therapy with a therapist, a little number one. There were some other Vietnam veterans and a Korean War veteran who kind of took me under their wing. And, you know, we're like, look, like, you're lucky that you only have a four-year sentence. You only have, you know, a very short time in here. You've got exposed to see, like, what, you know, reality can be like for veterans. Without the mentor there encouraging me, I would have been totally resistant the whole time. Like, it was just kind of like collectively all of it builds on top of each other. Here's what the VA can offer. Use that as a blessing. Now I fill my time a lot with weight training, mountain biking, and snowboarding in the winter. A lot has changed. I have a master's in criminology, and then I'll be done with my Ph.D. in sociology. I bought a house. I used my VA loan. I bought a house, and I'm renting out all the rooms to other veterans and watching them, you know, turn their lives around. I've got a son now. I have a three-year-old. That's like the center of it all. That's like just what gives you, like, the meaning for life. Taking him hiking and, you know, fishing, just introducing him to playing with cars and Legos. That's just like the center of it all. That's like just what gives you, like, the meaning for life. Taking him hiking and, you know, fishing, just introducing him to playing with cars and Legos. The little kid hobbies have become my hobbies, too. Just the opportunity to be able to open the door and walk outside and look up at the sun. That ability is something not to be taken for granted. I did really get lucky, so I tried to, like, maximize that. I'm still trying to hold on to that. Let people reach out and grab you and pull you up. Seek help before it gets too far. We're still trying to get you to come. Okay, I am well off, but maybe I'll make America pay for it, even at the age of 70. What I want to say that's already the office I used to be a huge fan of compared to my dad started, is that you have to know how powerful your love for God is, youraph Central Sanโ�k pour tryin, That there is an extraordinary, Second Blood, how incredible your love, Your stimulation in the creation in this village is. Legos is so steak and sweet. Thank you. Oh, thank you, salmon!\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm076.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm076.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm076.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm076.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Lawrence. I was in the Marine Corps, served during the Vietnam era in 1967 to 71. Getting out of the military, that was the easy part. Acclimating to civilian life, that was extremely difficult. I always felt that I hadn't really left Vietnam, and I remained in that attitude, that mode for, it's got to be 20 years. The major issue that I had was anger. I was anger all the time. I couldn't connect with anybody. I couldn't connect with my first wife. I just couldn't trust anybody. I didn't want to get hurt by losing somebody again. There was just a constant battle going on within me, with my own mind. There would be times when I'd be talking to somebody, and I'd be seeing a firefight in my mind's eye. It made it very, very difficult to remain calm. I had absolutely no control at all over my life whatsoever. After my first divorce, I started drinking, but I gave that up as a bad idea because it just made things worse, not better. Then I went on to a second marriage, and I'll imagine I managed to destroy that too because I hadn't learned anything. It was seven or eight years. It was a really bad year. The economy was going south. Work was slow. My mother had passed away. My second wife wrote me a letter and told me she wasn't coming home. She wouldn't tell me to my own face. And bills started piling up. Things just got out of control. I just couldn't handle it anymore. I tried to commit suicide. That's when I moved to Key West and stayed with my son. Because I needed somebody to kind of keep an eye on me. And from there, things just got better. When I was at the VA, I was diagnosed with ptsd. I had no idea what it was. Nobody ever talked to me about it. I didn't believe it. It took about six months to digest the idea and kind of get used to it, to see what really it was, what it was all about. It was uphill from there. It really was. They helped me out tremendously. They really did. I went to a program in Miami, a ptsd program. It was an intensive program for four months in-house. Once you know what ptsd is, it's easier to deal with. It's always easier to deal with something when you know what it is. So they teach you that first. You discussed everything. You were with other veterans, so you were safe, and you knew you were safe. And everybody there, they genuinely, genuinely cared. They bent over backwards to help. I felt hopeful for the first time in 40 years. I actually felt hopeful. And I was really glad that I had gone there. I try to get as much therapy as I possibly can. If it's available, sign me up. I'm going because this is my life, and they're willing to help, and they're offering the help. I'm taking it. They have phone numbers you can call any time of the day or night because they have a crisis line. You're never really alone, ever. Even if you live by yourself, if you live in the woods, you're still not alone because they're always available. I can't tell you how thankful I am for the VA and how happy I am that I actually went there and got the help that I needed. And if you're a veteran out there and you need help, don't put it off. Get the help you need. We just think those guys are really great for our fellow veterans. You can't tell us why. Don't give them leeway if you think these things are being told directly. They're people that are as frustrated as we are. I know I've just gotten Economy if this is令 gold digger aletter subbetran that's a tournament. I'm going to provide a referral tag for you. I wouldn't like to be aментvo given that these people are justicken who they are. How that I've worked,\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm102.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm102.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm102.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm102.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Laura Hendrickson. I served four years in the Marine Corps in San Diego and Beaufort, South Carolina, between 2003 and 2007. I think the biggest thing is being at home by myself. Like, I would, just every time I was by myself, I would get sick, like physically sick and scared. And I wouldn't take showers if I was home by myself because I would, the whole time I was there, I wouldn't close my eyes. I would think like, oh my gosh, there's somebody, they're going to come in my bathroom and they're going to get me. And so it was like, when everyday things, it's like I can't do what normal, like activities, and it's frustrating for me because I didn't really understand it. I didn't know what to do. I didn't understand how it all related together. And so I knew like I don't want to be held back in my life. So I definitely, I just wanted to get help. I wanted to change. I wanted to be able to, you know, have, be free from it and be able to do things that everyone else around me was doing. I do have hope for the future. I definitely feel a lot better about it now. I'm happy. I'm happy. I'm happy. I'm happy. Another one of the main reasons that I went through the treatment and stuck with it was because I'm, I want to have kids. I can't wait to have kids. But the whole thought of letting somebody else watch them and letting them out of my sight. Like I just feel like I'd be really obsessive and controlled about it. And I don't want to be like that. I don't want to not, you know, quit my job because I can't stand the thought of my kid being out of my sight. So I'm definitely like feeling better about that and more comfortable thinking about the situation. So I definitely think things are going to get better. I just finished the prolonged exposure therapy three months ago and I've seen a huge difference and it's given me the strength and confidence to take my therapy to the next level. And I'm currently in couples therapy with my husband, sharing my experiences with him to grow our bond so that, you know, he can better understand me and I don't feel so alone in my situation, feeling misunderstood a lot of the times. So it's really, really helpful. It's really helpful to be in that with him. And I also still see my own therapist and dealing with how to control my emotions whenever things start to get personal. I tend to take things more personal than the average person. So I'm still working on it. ptsd has affected my life by making relationships pretty difficult. For me. I have a really hard time trusting and letting my guard down and just being myself around people. I have a really hard time making friends because for all the same reasons I just, I feel really uncomfortable meeting new people and, you know, not really having the confidence, like feeling like I'm just like not valued as much as others around me. Right. Right. Yeah. around me, so it makes it really difficult, but I'm working on that. For seven years I blamed myself. I thought, what could I have done differently? Should I have fought back? Should I have said something immediately? But in this situation, people don't understand that there's so much fear. You don't know what this person's capable of doing to you. And so I carried that with me a long time, thinking I should have done something differently. And through therapy I was able to learn that there really wasn't anything else that I could do differently, considering the situation I was in and the safety that my body, my body was in. I was trying to stay safe. I just wanted to live. I didn't know what he was capable of doing. So therapy really helped me understand that it really wasn't my fault, and it's not your fault. And they can really help you come to agree with that. I would often think, it's my fault. Or I would take my situation and say, I'm sorry. You know, my situation's really not that bad compared to this person's. Because look what happened to them. At least this didn't happen to me. And I would kind of, you know, minimize the impact and think, oh, should I waste these people's time? Like, it's, my situation's not that bad. I would often feel like it was my fault somehow. Because I was blamed for so long for it. I've always thought of ptsd being like for deployments or war, and I never really thought of myself as having it. And after seven years of therapy, I finally had a doctor point out to me that, you know, it would be really good if I went through this treatment, and it really was. It's definitely difficult to bring up suppressed memories. It was really hard at first. It was actually really hard the whole time. It did get easier. You actually record yourself, and then you listen to it, so it, in some way, tricks your brain into accepting it, because it's really hard to attach yourself to the situation. After suppressing it for so long, you kind of feel like it wasn't you, or it didn't happen to you, but, you know, it forces you to accept that this did happen to me, and, you know, I'm going to be okay, and it's going to get better. Suppressing it, pretending like it didn't happen, it just weighs really heavy on you, and it doesn't get better that way. I'm scared. I'm scared to go anywhere by myself. I would, I sleep with the TV on. I'm constantly checking the windows and doors, thinking that there's somebody watching me from outside. When my husband would leave, I would automatically think, like, someone's going to get me, and I would be completely paranoid the whole time I was by myself. And. I would have nightmares if I slept. I would get up in the middle of the night not being able to go back to sleep. My nightmares were all about being attacked and being followed, and it was really difficult for me to do much of anything. I would recommend anybody with ptsd symptoms to seek prolonged exposure treatment. It was really helpful, and it gives you confidence, and at first it's just baby steps, but with each thing that you accomplish, you grow confidence, and, you know, at the beginning of treatment I never thought I would ever sleep without the lights on, or without the TV on, and now I actually have a hard time sleeping if the TV is on, and I just remember how good I felt. And I ran to my husband, I slept without the light on last night. And it's just little things, you know, but it's huge. So I'd highly recommend it. It was great for me, and I know it could really help others. I'm married now, but I still, it's like I just want him next to me all the time. Like, I just feel like I constantly need protected. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. And that something's going to happen to me, even if it's driving, I think, oh my gosh, I don't want to go to this store. I could be in a car accident, or be in a car accident, or, you know, and I make him drive me, and it does, it gets tiresome for him for sure. But he's really supportive and, you know, helps me with it. And, you know, the little baby steps of, you know, since I did treatment, I can sleep without water. without the light on and it was a huge accomplishment, which doesn't seem huge to other people.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_Laura_Hendrixon.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_Laura_Hendrixon.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_Laura_Hendrixon.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_Laura_Hendrixon.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nI just finally went to a good friend of mine that used to work for the VA, and she told me, you have ptsd. And I said, I don't know what that is. And when she told me, I said, there's no way. I said, my dad and my uncle and my grandpa all went to war, and they took it like a man. Why come I can't? And that was the way I looked at it. You know, I'm too much of a man for that to have affected me this way. So I was in denial until finally I just didn't have anywhere else to go. She guided me towards the Veterans Administration, had me lined up for an examination with a psychiatrist. We had groups where they tried to get us to talk about it, and when it come to my turn, I said, no, I don't have anything to say. And finally, after so many years, I was able to start contributing a little bit to the group. You know, I started coming out of my shell. My house was in ruins. I started fixing it up a little bit, and slowly I got more motivation to do things.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm111.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm111.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm111.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm111.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Bridgette. I was in the Army. I really felt that serving my country and having an opportunity to travel was going to be a good opportunity. When you're in the service, the structure is set pretty strong. If there are any difficulties, you have someone within your chain of command that you can go to who has either the resources that you need directly or somebody that they can direct you to. When you get out, not only do you lose that level of structure, but then you also lose that level of resources. I didn't have any family. I didn't have any friends. It was basically just starting from scratch. By that point, I had a small child who had a very severe illness, so I was just trying to navigate through all of the different systems and work and transition out. So it was tough. It got bad pretty quickly. And there were a lot of things that I had to deal with. There were periods of time when I would recoup, but then there would still be that transition where I would have some difficulty. I've been classified as chronically homeless. Right now I have housing, post-traumatic stress, traumatic brain injury. All of those things were there. Taking the skills that I had and applying them to jobs in the community, that was difficult because here I came from the military. And I had to go through all of that. And then trying to say, well, here are my skills and this is what I can do. And people were like, well, how do we fit those skills into this situation? I ended up at the VA out of severe distress again. At that point, I was married and we had insurance, but my medical care had started to just basically eat up all of our money. It just became too much. And so I figured, you know, maybe I could go to the VA. And at least get my prescriptions. Once my health began to deteriorate, my marriage deteriorated as well. And I basically ended up homeless again. I found out about the HUD-VASH program through one of the social workers at the VA. They really worked with me to get me some type of financial resources, get me the kind of care that I needed for my daughter. You know, these are outside resources. But they plugged me into the information so that we could get it stabilized. The VA has the supportive part where they come in and they have the social workers come in and help you get the resources that you need so that you can keep your housing. I think initially, you know, I was pissed off. You know, because here I was all these years, I mean, short of going to a witch doctor. I mean, I had pretty much done it. I was like, what is wrong with me? I'm not connecting. I'm not talking. I'm not understanding what's happening, why I feel this way, why I'm struggling, why is this so difficult? You know, why is going to work every day difficult? So I was trying to still take, you know, ownership of it, that it's something I wasn't doing, something I needed to do. And so they kept saying, you know, this isn't your fault. These are the things that happened, and these are all the events that took place. So now, you know, you have to just get some help. You know, come in, talk to somebody or whatever. Your quality of life doesn't get better until you begin to implement things to make your quality of life better. I am currently using vocational rehab through the VA. I'm on the independent living program. And I know this sounds funny, but my conditions are so severe right now I'm not in a position to go back to school or to be working at all. So, you know, what they're trying to do is get me to a point where physically, I'm, you know, able to do more and getting out more. If I can just reach one person and say, hey, you know, don't take your life. Go get services. Go talk to someone. You know, reach out. Because everybody's not always going to be able to reach to you. But just reach out and just start asking questions. The help is there. It may be a little bit challenging to get the help. But take the energy that you were going to take to do something negative, to do something positive for your life.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm073.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm073.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm073.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm073.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Specialist Robert Tucker with the Vermont National Guard. I was deployed to Bagram Airfield, Afghanistan from December 10, 2009 to December 10, 2010. My MOS is a .45 Bravo, which is Small Arms and Artillery Repair. When I was over there, though, I did a lot of different things, from driving in convoys, resupply convoys, tower guard, prisoner guard, combat logistics patrols, pretty much anything. I was kind of my company's go-to guy. I got suggested that I should probably go see somebody when I was in Indiana. That was our demob site. So when I got home, I went to the VA. And then when I went and talked to the doctor, he asked questions such as, you know, do you ever drive by things that remind you of possible triggers, you know, things like that. I mean, the doctor knows what questions to ask. I mean, you're not going in there blind. He knows what he needs to ask in order to diagnose or not diagnose, whatever. But, yeah, it actually teaches you a lot about yourself. Because I think I probably still wouldn't know that I had it. And I think knowing is probably one of the more important things about it. Because, I mean, you can't prepare if you don't know what to prepare for. I would say it is a relief to know. It's kind of like you don't have to wonder anymore. The behavioral health person that I talked to was kind of like asking about, you know, what... He was the one that was asking me, okay, what happens to you when you see a bag of trash on the side of the road? What happens to you when you hear something in the night? Stuff like that. And I thought that was probably one of the more beneficial meetings that I had that day. Because that's the one that actually pointed out these things that I thought were normal. And are really... I mean, it's normal for somebody that's been through what we've been through. But it's not normal for somebody that hasn't. You know, it's not normal for regular home life, I guess you could say. If you don't want to go, nobody can force you. It's something that you have to do on your own. But... But... If you don't go, you're going to be struggling like this for the rest of your life. If you're struggling, ask for help. It's there. And it's free. The resource is there. You know, if you're drowning, somebody throws a life ring to you. It's a free life ring. Take it. It's simple as that. When you come home from a deployment, I think it's like five years you have of free VA medical care for any combat-related illness, injury, blah, blah, blah. I would say it's not very wise not to take advantage of that five years of free medical care. What's the worst that's going to happen? I already said, you know, one of the few things that's going to happen, they're going to say you don't have it or you do have it. And if they say you do have it, you're going to have it. You're going to have it. And if they say you do, I'm pretty sure you already knew that. So if you have free medical care, it's foolish not to take advantage of it. I know there's a lot of people that had a lot more significant experiences than me, and there was a lot more that had a lot more traumatic experiences than me. But I guess what I'm trying to tell people is it doesn't take a whole lot to really, I mean, especially if it's your first, I mean, this was my first deployment. I mean, I'd never experienced anything like it before. So, I mean, next time I deploy, maybe it won't bother me as much. But to go from, I mean, I went right out, I joined right out of high school. So I went from high school to the workforce to deploying. So, I mean, I don't really have any traumatic experiences to compare to except for that. Whenever you get off of a deployment, you know, everybody, you go through this. You go through this out processing kind of thing for a few days. And they do medical checks, they do dental checks, they do mental health checks. When we went to behavioral health, they asked me a series of questions. And I didn't really think anything of it, you know, being agitated all the time, easily agitated, not being able to sleep. You know, nightmares. I didn't think anything of it. I just figured it was normal. And they had suggested that I, you know, make an appointment and see somebody else. And I was like, okay. And I told my squad leader what was going on. And we said, all right, we'll make sure you get to your appointment. And I went to that appointment with a psychiatrist, I think is what their title was. And, yeah, I was like, okay, I'm going to go to the hospital. I'm going to go to the hospital. I'm going to go to the hospital. I'm going to go to the hospital. I'm going to go to the hospital. And, yeah, we talked for a while. And they had me do a, you know, one of those check sheet type tests. And they said, wow, you actually, you know, talking to you and looking at your score on this, you actually scored pretty high. And I says, really? I was like, that's kind of a shock. I didn't feel any different. Because I guess when you're over there, you kind of get wrapped up in what it's like over there. And it's kind of like a new normal. I didn't feel like I had a problem. I still don't feel like I have a problem. But I know that little things, if gone unnoticed or unattended, can turn into big things. When we were over there, I don't know if you guys heard about it or not, but the May 19th attack on Bagram Airfield was the largest, most significant, attack on Bagram Airfield since its existence. And one of the major attack points happened probably 200 yards from where I sleep or slept over there, I should say. And waking up at 4 in the morning to the sound of an AK-47 firing is very awakening, I guess you could say. Yeah. The AK-47 makes a very, very distinct sound. There's nothing like it in the world that I've ever heard. When you hear AK-47s firing, it's enough to—I'm a pretty sound sleeper. I mean, I can pretty much sleep through—well, I can actually say I've slept through rocket attacks. But to wake up to AK-47s, it's like, wow, you know they're pretty close. And that startles you. So I, you know, we get up and the attack was in the middle of it. The Apaches are flying over there firing the 30-millimeter guns. And that's pretty awakening. So now, you know, things—you know, you hear a bump or something at night, and it's like, okay, what is that? I actually have a firearm that I sleep with next to my head. I sleep with next to my head with a flashlight on it. And that's the first thing I go to. I grab that. I mean, it might sound a little extreme, but it's just how it is. I can't sleep without it anymore. So that's kind of—I just sit there and listen. You know, what was normal back home isn't—is weird when you're over there. You know, anything from, you know, taking a shower without shoes on. You know, that's weird over there. You don't do that over there because it's all public showers. So you wear flip-flops for health reasons, you know, normal like you would in any gym or anything. But, yeah, everything that was normal at home is weird over there, you know, just walking down to the kitchen to get something to eat. You know, you don't do that. You got to go to the DFAC and at scheduled times, stuff like that. So you get used to what it's like over there, and that's your normal. So then you come back home, and people expect you to be what you were like back home. But it's not like that because you're still over there, you know. Once I got back home, you know, I was driving. I mean, I did a lot of driving when I was over there. Um. Almost every day. And, uh, so driving here is a lot different than driving over there. Over there you avoid every pothole you possibly can because who knows what's inside of it. Here, usually a pothole is just a pothole. Um. A bag of trash or something beside the road here is usually a bag of trash. Over there, who knows what's inside of it. So you swerve, you know, stuff like that. I, for a couple of months, I did that here. Even still, I kind of look at things like, well, what's that? Your heart races, or mine does anyway. My heart starts to race. Um. Things tighten up. Muscles tighten up. Um. But I actually start looking around. Like, almost like I'm looking for a trigger man. Um. Stuff like that. And, you know, I try to swerve away from it. You know, get on the other side of the road, stuff like that. Um. But, yeah, little things like that. And it's like, ugh. It's not normal, I guess, for here, you know.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_SPC_Rob_Tucker.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_SPC_Rob_Tucker.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_SPC_Rob_Tucker.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_SPC_Rob_Tucker.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nI'm Jeremiah Civil. I got out as a corporal. I served in the United States Marine Corps and I served in Iraq as mortuary affairs for eight months. I didn't want my experiences to hurt or affect my family and a lot of those I didn't want them to know about. I mean it was almost a promise I made to myself leaving you know this is a horrible experience I'm gonna leave over here and I'm not gonna take it back with me and it's not a promise you can keep. It's not a promise you can keep. I had been put on probation at a job for popping on a UA and for coming into work drunk. All issues and so I had a mandatory AA meeting that I had to go to and it was at one of these AA meetings that um, it was a Vietnam vet that it was after after the meeting was over and I had actually shared and he came up to me and talked to me. He basically was like you know I heard some of the things that you said in there and you know I can relate. I was you know I'm a Vietnam veteran and I had lots of issues coming back and one of those was alcoholism and that's a part and parcel to ptsd and he was like you know maybe this isn't exactly all that you know this is a symptom of something maybe something bigger maybe maybe you could still look at the alcohol you know alcoholism piece but you know there's a there's a second piece to this and you know there's help he had he and himself gone through the whole claim process and was being seen at the VA and all that kind of stuff and it had a rough time himself. But had had gotten there and and and had said that you know it can be a rough process but that there's people that know the way through it and that you can you can find your way through it. It ends up being better for the better. I knew that I was going to go into a session with my counselor and I knew it was going to be a rough one and I knew the kind of things he was going to ask me about and get me to talk about and you know it freaking heart's beating you're racing like crazy. Even an hour before you even get to your visit because you don't want to talk about this stuff but you know you're going to have to and then you do and it's a huge relief. It does provide some relief even though it triggered me in that in that fashion and took me an hour to calm down and be okay. You notice after that that hour or so of being triggered that you get some relief you get some you know and the more that you do it the better and better it ends up being. And so sometimes sometimes you in a safe environment in a controlled environment sometimes it's good to trigger yourself and to force yourself into those uncomfortable positions because it's what it's where you grow. The biggest trigger for me is smell. There's several smells that instantly take back memories and pictures and full on gruesome stories that I don't want to go through. But yeah so there's been several times where either there's a dead animal beef jerky is not a good one for me. I have pictures in my head and I have scenarios running back through my head of people I picked I picked up and in gruesome areas and yeah so and then those flashback. And it makes it makes it difficult and at the same time it not experiences I want to necessarily share with the people around me especially at the time and so it usually means I'm out. See you later and that can be difficult it can definitely be quite difficult because you don't want to look like some crazy crazy person that's flipping out over some beef jerky at a convenience store you know pushing people out of your way. I've been doing that for over a year. I'm trying to get out of the way. I'm trying to get out of the way. I'm trying to get out of the way. I'm trying to get out of the way. I'm trying to get out of the way. I'm trying to get out of the way. I'm trying to get out of the way. So that can be difficult and it takes some explaining I guess sometimes to people. I would say for people that are on mortuary affairs or even any non combat related MOS ptsd still happens it doesn't have to be just combat related and you can see that you end up with the same symptoms they might be different in some ways. I would say for people that are on mortuary affairs or even any non combat related MOS ptsd still happens it doesn't have to be just combat related and you can see that you end up with the same symptoms they might be different in some ways. and that's ok. But for people that are having issues, it doesn't matter if it's combat related or not there is still a lot of traumas in that, but for people that are having issues, it doesn't matter whether it's combat related or not there's still a lot of traumas in that. over and we get over all of that completely holy of course I you know. If you're supposed to go to and we recognize really brave and interesting environment I've ever seen it I think. back okay whether combat or not but for people that are having issues I mean it doesn't matter whether it's combat related or not there's still a lot of traumas in that you know when you're when you're picking up the bodies of of your friends that you might have seen several hours before or comrades that you know are in the exact same position where you're going out into that hot area that you know this guy just got killed here when you're picking up civilians or kids or things like that yeah they're gonna they're gonna have some effect and it's ptsd is more of unprocessed information unprocessed things that you're you haven't had the time to fully sift through and you don't want to because it's painful and so you lock it somewhere in the back of your head and that doesn't have to be combat related that can be you know a lot of different experiences and unfortunately a lot of that happens in war and it doesn't have to be shots fired you feel weak you know I wasn't out there pulling a trigger or getting shot at every day like some of these guys and some of them are fine and they're not having the issues and and I am and so you know what's weak about me you know what's wrong with me yeah it it took a bit to to realize and get over that probably you know took me going to group and talking to other guys that had had a whole bunch of combat experience and hearing them say I don't know how you made it through what you did you know and part of that to us is a bit of survivor skill when you when you see good men what you see is hard good you know not weak and you know these guys wouldn't be having these problems die and they have family and kids and they had their life together and going well. And you come back and you're like, I made it, and I'm for whatever reason having all these issues, and I feel like I'm a dirtbag and I'm weak. And all those get muddled into the same thing, and it makes it harder to let that stuff go. Treatment has been huge. Treatment has definitely, definitely helped me. Treatment has turned my life completely around. I am a lot more comfortable in my own skin. I don't have the same amount of symptoms. I would encourage anybody to try all sorts of different things. There's lots of different stuff out there. You know, there's EMDR. I never did that. There's Native American Sweat Lodges. I did that, and that was wonderful and huge. There's group therapy. There's, you know, individual counselors. There's all sorts of different types of therapy out there and available, and it's just finding the right one for you. Some people might not be into the Native American Sweat Lodge thing. They might think it's hokey, and that's fine. Cool. That might not be your thing. You know, like I personally, I didn't want to do the EMDR thing. For me, it sounded hokey. You're going to make a little clicking noise next to my head and flashlights, and it's supposed to cure me. It's just not. It's just not. It's just on your individual feelings. You know, 90% of the work is your work. You know, the other 10% is what particular treatment you're taking. You know, really the treatment's on you, and you're the only one that can really make those choices and let those types of things go. And so it's just whatever treatment you can utilize. Whatever works for you. I drank a lot, and I partied a lot, and did a decent job of covering it up, and I didn't really kick in. You know, I could have the nightmares. I could have the other things, and it was okay in my party lifestyle, and it was okay. It wasn't that stuff causing it. It was the fact that I was drinking so much, and, you know, I was partying, and, yeah. So, yeah. I'm not sure. I'm not sure. Yeah. So the signs didn't really show up until a couple years after being back, or, you know, if they were there before, but, you know, I made a suicide attempt. And so that was a wake up. I got fired from a job, and kind of lost it from there, and was having nightmares like crazy, and couldn't talk to anybody about it, and didn't want to. I didn't want to tell anybody about it. I hadn't, at that point, decided that I was going to say anything to anybody. And so at that point, the signs were pretty close and in my face. I think sometimes they bite you in the butt, and that's when you got to realize, you know, you got to take, kind of swallow, swallow a little bit of your pride, and realize that, you know, getting help is not a bad thing. It's not a bad thing. And it doesn't mean that you're weak, and it doesn't mean that you're a failure in any means. It just means that you need help understanding what happened so that you can reprocess it. And you can come out with not only a stronger point of view, but now you have all that life experience behind you, too, that other people just don't have. And get put back on a stable road. And, you know, I'm not sure. I'm not sure. I'm not sure. I'm not sure. I'm not sure. I'll be able to use your experiences to your advantage, rather than letting them pick you apart. I actually turned to alcohol. It was a great cover-up. And so it wasn't quite as much of an isolation. It was sort of, I guess, an isolation because you can't really have deep friends in that sort of a fashion. And it's really easy to get rid of friends, and it's really easy to push people away, all of which I did. So it could be isolation. Later on it turned more into that. The drinking and the partying only lasts so long before it becomes serious issues. And that's what it did for me. It started causing serious life issues. Constantly losing jobs and all sorts of stuff. Not being able to keep friends. And so at that point that's when I did start to isolate. And I pretty much lost all my friends. I ended up getting married, which was a very, very tumultuous marriage. But other than that, other than my wife, I pretty much didn't have any friends for quite a few years. Didn't want to go out to crowded events. Didn't want to have too much of a social life. For the same reason I was talking about before. I don't want to have to try and explain to my wife. I don't want to explain it to people. And I didn't want to have to go over my experiences every single time. To try and let somebody know. So it was much easier just not to have friends. ptsd definitely took a toll on my marriage. It's difficult to work on personal issues inside of a relationship. And it's really difficult too to explain those things and explain those experiences for someone who's not in a relationship. I've never been in a relationship with somebody that wasn't there. And has never experienced that kind of a life experience, I guess. Never in the military. Never, you know. So for her to try and understand. I didn't actually get with her until after I was out of the military. So a lot of the stuff she didn't understand. And a lot of the stuff she didn't understand. And a lot of the stuff she didn't understand. A lot of the issues that I was having. With alcohol. With all sorts of other addictions. And with outbursts of anger. And not being able to sleep. And not being a very stable person. There's a lot of things that she didn't understand. And had a hard time understanding. And at the same point I wasn't necessarily the most understanding person myself. So it makes it really tough to be in a relationship. And be able to work on those kind of issues. And so yeah. It definitely took a huge toll on my marriage. I'm pretty happy about my future. I'm going to school. I have my associates. I got another two years. I work with a non-profit for veterans coming back. I'm really trying to do everything I can to force myself to branch out. And force myself to not isolate or avoid. And to talk about it. And to talk about it to lots of different people. And to try and help other guys that are coming back. I was probably one of the first. I've been back for six, seven years now. Which is a long time. And it feels like just now I'm kind of turning that corner. Of being able to be okay. And be alright. And so I think my future looks really bright.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_Jeremiah_Civil.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_Jeremiah_Civil.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_Jeremiah_Civil.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_Jeremiah_Civil.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy situation was that we were on mission. We were heading north. The truck in front of us hit a roadside bomb. There were no survivors. I had injured my back, my head, and my arm. The passenger that was sitting in the seat where I was supposed to have been sitting had injured his entire right side. I said, that's something I've carried with me, and I'll always carry with me. I was diagnosed with ptsd when I came back in October of 2004. I started having nightmares. They had to put me on sleeping pill for that. They had to put me on anxiety medication for it because I was having panic attacks daily for it. I found out the sleeping pill wasn't working. I started having breakthrough dreams. I didn't want to work. I didn't want to leave my house. I didn't want to do anything. I was getting in trouble at work. One day, I just, I guess you could say I went off, and I cussed out my NCO, my platoon leader. And he was going to write me up, and my first sergeant stepped in and said, no, she's going to go see the psychiatrist. I found a counselor that said, okay, you can't do this anymore. You've got to face what's really going on. And now I've got a great support team. I am doing better, and that is due to the one-on-therapy that I get. It is due to... the VA doctors here that I see in D.C. I owe a tremendous thanks to the counselors that I've got. Everybody should take the chance and seek out their VA system. I think that's one of the most important things. I can't stress it enough.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm002.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm002.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm002.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm002.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nWe have an expression in the military which is no plan survives first contact. You can train for anything all day every day but it doesn't happen in real life the way you prepare for it. If I'm looking at a specific moment in time March 11th 2013 is when my life would take a pretty substantial change. I was a kid growing up. I was a kid who was a little kid. I was a kid who was a little kid. I was a kid who was a little kid. I was a kid who was a little kid. Growing up I moved around a lot which as a child is difficult. You know constantly being the new kid in school. Getting picked on a lot. I was a small scared kid. I was a small scared kid. Deep down I was striving for strength. Athletics was kind of my anchor in life. It was something I could always depend on to be there. And with that did bring the confidence that I was looking for. And it was through sport that I met my best friend, my brother, Jonathan Rizzo. John was the type of guy that everybody John was the type of guy that everybody liked. liked. Through elementary, junior high school and high school we maintained our friendship. He was an athlete but also an intellect. He was just on the route to success in a variety of different avenues. And it was the summer between freshman and sophomore year he was murdered. And um... That obviously had an impact on me. I think I was looking at myself as a failure. I accepted the responsibility to look out for him and not let anything happen to him. And I failed at that. And what that did to me, even on a subconscious level, I would not know for years to come. And then a couple months later, 9-11 happened. I'll never forget where I was in that moment. I was walking to my dorm. I turned on the television and obviously the same thing as on every single channel. The towers were burning. And uh... It was in that moment that I knew I wanted to enlist. And I felt confident that I wanted to serve in the Special Operations community. And I felt confident that I wanted to serve in the Special Operations community. Not only did the Army give me the chance to go straight into the military. Not only did the Army give me the chance to go straight into the military. Not only did the Army give me the chance to go straight into the Special Forces. It was the one that I was drawn to most. It has a very wide array of core tasks. Unconventional warfare being at the top of that. So I made the decision and enlisted. My first deployment to Afghanistan was a nine month deployment. And uh... Our mission required us to do a variety of different things. From getting on armored gun trucks to conduct missions. From getting on armored gun trucks to conduct missions. To getting into a Toyota Corolla in plain clothes. And driving through downtown Kandahar. And driving through downtown Kandahar. The first engagement is one that people typically never forget. For me it was based on my training. My body was basically just responding accordingly. We train in a variety of circumstances so that we are able to react. And respond really without much thought. It just becomes instinctual. But on my second combat rotation to Afghanistan. Some of the key decisions that I made was against our training. My training told me to do one thing and I did something else. Which is not something that I'm proud of. So throughout this deployment we were working with the conventional Afghan National Army. We were working with the conventional Afghan National Army. We were working with the conventional Afghan National Army. We were getting ready to do a joint mission. As we were getting ready to end the mission brief. I began walking towards my truck. As I'm walking away I hear rounds being fired off from directly behind me. I realized that someone was decisively engaging us. And I snapped my head around. I honed in on the shooter. And it was somebody who I had been training and working alongside of. He had gotten up on the truck mounted PKM. PKM is a Russian machine gun. And began shooting at the group. This was the initiation of a complex ambush. We also began receiving fires from outside of our camp as well. So this was a coordinated attack. I processed the information. And my training tells me to move to cover and eliminate the threat. Which I had rehearsed and trained for hundreds and hundreds of times prior. I don't do that. I don't do that. The reason why I don't do that is because one of our infantry soldiers that was there with us. Young kid. First deployment. Was no more than 15 maybe 20 feet in front of the shooter. And he was basically frozen during headlights. I recognized that and I decided to put my body in between him and the shooter. And that was when I was hit the first time. Fell on top of him. And as I'm laying on the ground I feel myself get hit another time or two. Into my right leg. I drag him and myself to some cover. One of my teammates eliminated that threat within our actual camp. We're still receiving some harassing fires outside the camp. And this point is the time I first got eyes on my injury. I ripped my pant leg open. And my leg it's just bone and tissue and flesh and a lot of blood. Apply a tourniquet. Wrench it down. Lock it in. The bleeding doesn't stop. Grab a second tourniquet. Slap that on. Wrench it down. One of my teammates got to me. And the look on his face pretty much said it all. He breaks out another tourniquet. He slaps that on. And as he's applying it to me I'm telling him to get away from me. I'm telling him to go work on somebody else. I'm convinced that I'm going to die. And I was relatively content with that. You know if I was going down then along the way. I was going to die. If I was going down then alongside my boys is where I wanted it to be. I was okay with that. As I laid there. Three tourniquets on my leg. Bleeding out. I'm thinking. Have I done everything I can do? So I pulled open my first aid kit. I grabbed some gauze. Balled it up. And I wedged this thing up into my leg. Now I'm rubbing my hand by broken bone. My femur had been shattered. And this searing pain is like launching through my body. And trying to eject out of my eyeballs. And at some point right around there I went unconscious. And I came to and I was being loaded onto a helicopter. Flew me to Bagram. Brought me to surgery. They hacked off my leg. To try to minimize the amount of damage my body was trying to recover from. It took about five or six days for the medical staff to stabilize my body enough. To put me on a plane to fly me to Walter Reed. Went straight to the hospital. Went straight into the intensive care unit. And in there I had around 30 surgeries on my leg until they got a hold of the infection. And I managed to survive. I accepted the fact that I was an amputee pretty easily. It's kind of amazing even to me. To how fast. My mind shifted on getting back to work. I desperately wanted to be back where I felt like I belonged. But I was in Walter Reed for about a year. So I had a lot of time to look back on that incident. And ask myself the question why. Why did I do something that is counter to my training. If I'm looking at a catalyst that propelled that within my decision making process. It's losing my childhood friend, Jonathan. And that failure I felt with his death. And that love superseding me doing what my body is trained to do. I did what I did. Out of love. And that is a decision that I have to live with. It really wasn't until I started making some substantial progress. You know, a year into the process of recovery. That I realized it was much bigger than me. I was trying to go back to a team. A team. That being the word. Trying to go back to a team. I was confident that I needed to do it. Things were looking like I had an actual shot at getting back. But as someone who took pride in the physicality of what we do. To go so far in the other direction. That was tough because how do I increase my value otherwise? You know, there's a lot of tasks and activities that are asked of us. That require more of an intellectual approach. I honed in on those. So I'm sitting in an office reading cultural dynamics of the Middle East. I'm improving my foreign language capabilities. I started pursuing my master's degree in psychology. All ways to increase my intellectual stock. So I'm making gains and I'm making progress. And eventually I got back to my unit. They were just as fired up as I was. And then once we deployed on that first trip back as an amputee. I was able to employ those different skill sets that I had learned. But it was not this I got to the top of the mountain. And now it's all downhill from here. I insisted on projecting strength 24 hours a day. Right? I would do anything in my power to avoid being seen without my prosthetic on. And I realized very quickly there was a whole variety of things I needed to be able to do. That I had not prepared for. Things that you don't even consider to be a challenge. I was a two legged guy. Simple small things like getting in and out of a military vehicle. Now was, okay how do I even do this? There's another ridge line that I now have to climb. And that started pretty much immediately. So in between operations or other training I would work on things like that. I would just try different techniques. Different foot placement. Different hand placement. Find a method that I think works. And then just drill it a million times. Eventually had my teammates out there. Video taping me. I'd go back and watch the reel. And see where I can maybe make up a half a second or two. I'd be on a stop watch. I was competing against other teammates that were doing the same thing. And this is literally us getting in and out of a truck. Over and over and over and over again. And I realized having my teammates to rely on and to compete with. That's a gift. The more I showed how comfortable I was with something that I originally perceived as weakness. That I was able to see that it impacted those around me. They were taking things to a higher level. Knowing that that was having those types of effects just made it easier for me to showcase those vulnerabilities. That was where I became not just fully comfortable with it. But proud of it. I'd like to think that that had positive effects upwards and outwards. You know it's highlighting that it's not a sign of weakness. To need assistance for something. You know the stigma associated with being in the military. It's this hyper type A competitive environment. And we often times have difficulty accepting help from anybody. No I got it. I got it. And you'll hear that a hundred times a day. That's what we are comfortable doing. No I'm good. I got it. That's the easy route. The hard route is recognizing that you need help. Whether you're trying to pick up a bunch of boxes. Or you're having suicidal ideations. Recognizing it for one. And then having the guts to seek out support. That's hot. That is reserved for the bad asses of our community. Because it's difficult. Those people. Are the ones I look up to. Because they're going the hard way. And that deserves respect.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm176.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm176.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm176.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm176.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nEverything happened so fast. I was only in the military for three years and a month. I did two combat tours to Iraq. My first deployment consisted of Operation Steel Curtain, and that's where we cleared five different cities just kind of on foot, kicking down doors, firing firefights here and there. My second deployment was more of a vehicle patrolling deployment where we operated out of a FOB, out of a forward operating base, and we patrolled 12 to 16 hours a day and kind of had a mission. And ultimately that ended in injury. The events that happened to me on both tours weren't traumatic until after I was out of the military. Then when I got home, I was in the military. I was in the military for a couple of weeks and a half. I was in the military for a couple of weeks and a half. I got home, I could look back on all the things that happened and it was just like, wow. It hits you like a ton of bricks. I spiraled downhill for a really, really long time. How did you feel when you were diagnosed with FOMI? I was diagnosed as soon as I got out. I don't think that I really realized how bad it was until two events. I worked at the University of Phoenix and we did a team builder on two occasions. On the first occasion we went bowling. I remember it. I remember the first time I went to the field. I was just so nervous. I remember it so vividly that a friend of mine, I was talking to her with my back to the alley to that where people were bowling. She looked up at the screens above my head and it was her turn, but her facial expression was like, oh, it's my turn. To me, so many times I see that facial expression on people when it's like a duck situation or look out behind you situation. I literally... I dove on the floor and was ready to kind of engage like an enemy target. Everyone just kind of looked at me. It was really embarrassing. My heart was going a thousand miles an hour. There was just so much emotion just in that one moment. How did you feel when you were diagnosed with FOMI? I was comfortable the whole time, which is rare. For a really long time, I could actually just sit back and relax and not really feel anything. I was just so nervous. I was just relaxed and not really thinking much. That hasn't happened in a really long time. I usually have a million things on my mind even though I look calm on the outside. Inside, there's usually just a lot going on. I'm sleeping a lot. I haven't had a full night's sleep since 2005. What's the most difficult thing about FOMI? It's kind of like what happened to me didn't happen. When I think about it, I don't get comfortable and all this anger and rage and stuff doesn't come up anymore. I have this urge to take over the world now. I have this desire to read, which is absolutely unheard of in my world. Absolutely unheard of. I don't think you understand. Put some pep in your step. It's a feeling that I've never had ever.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm189.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm189.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm189.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm189.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nHere I was about to literally get into, you know, a shootout with a couple of strangers who knows how it could have gone. And I'm not at war. I'm in McKinney, Texas. I felt nothing. Absolutely nothing. My name is Alan Shabarro, former Green Beret with 3rd Special Forces Group. And currently run my own gym in McKinney, Texas. Combat base, Texas. Shabarro Jiu-Jitsu. I was raised overseas. My father was a DoD civilian. We got to travel around to different places. Italy and France and Germany, Austria. And moved back to the U.S. when I was 18. Joined the Army at 19. Ended up going to Fort Jackson as a lightweight vehicle mechanic. My first duty station was over at Fort Hood. That's how I got started in the Army. So, beautiful Fort Hood, Texas. The first enlistment that I had was just over three years. And I really enhappyed the structure of it. But I didn't feel like I was serving a purpose in any way. Used the GI Bill, get out and go to school. And so, nice job. In 1999, I ended up getting out and transferring down to Southwest Texas State University in San Marcos. Texas State University now. While I was going to school, I was in the reserves as a drill sergeant. So, I was doing my drills here in Texas. And then didn't really have any inclination to go back in active duty. I wanted to get my degree and see where it takes me next. And shortly after that was 9-11. And that changed me forever for sure. The only focus I really wanted to do was get back in the fight. I started the process getting me to start going into Special Forces. At the time, I made a lateral transfer. I ended up going back in active duty. A few days later, I was on a flight out to Baghdad, Iraq. It was a fast-track express lane, I guess. It was kind of an eye-opening experience. To say the least, being moved in so quickly. Within that first week, I got in my first firefight. It was still very surreal. I remember getting on Target Road. Everyone around me is just still so calm. We start hearing like, you know, pings on the vehicle as we're getting closer. Super wired, you know, head on a swivel, looking around. And everyone else is just kind of like, one guy was sleeping next to me. You know, just super calm about it. I was still brand new. I was new to everything. And, you know, just trying to make sure that I didn't mess anything up on that. But I just looked behind and said, you're the new guy? I said, yep. You know, don't fuck this up. Got out and I was like, okay, that's my motivation. So let's get out and do this. When I stepped out, I took a little about five, six steps forward. And it was a very, it was the first time feeling this or hearing it. But it was like a crack of the whip, like right above my head. And I didn't know what that was. I looked up and, you know, as soon as I looked back down to start moving forward, it was a round that went like about 10 inches away from my foot. And I just froze. I didn't know what to do. Should I, you know, go and follow the guys in? Should I just go and, you know, as they had me as security and, you know, stay by the vehicle, get back on the gun, but, you know, was it really going to go there? So there's so many things. And I know it felt like an eternity. It felt like an hour. I was trying to make decisions, but I'm sure it was just a few seconds. But what broke me out of it was my ended up being my first senior Walker booth. He just runs up and just starts shooting and he's yelling out, you know, I'm going to come at you like a spider monkey, boy. And then my buddy Todd goes right behind me and goes, shake and bake, motherfucker. Shake and bake. Running into it and firing at him. It's like what the fuck is wrong with these guys? We're in the middle of a goddamn firefight. damn firefight where we were like getting, you know, contact before we even made it to the target. And they're cracking jokes as they're in the middle of it. I just snapped out of it. All of a sudden, everything was just crystal clear. I just understood exactly what I needed to do, where I needed to go. And to me, I looked at these guys like titans. I mean, they've been, most of these guys have been in six, seven deployments with the SIF, you know, 10 deployments total have been Afghanistan, Iraq. It was definitely, you know, a very high pace, something I just continually went and kept doing in one school after another and training. And there wasn't much time to think about anything else. So I really actually enhappyed it. So when I first got out, I was still having mixed feelings whether I should be in or not. Everything was slowing down. So this is, 2009 was my last deployment, no more action. And so it was like someone just literally just turned his spigot off. There was nothing, you know, going on or they didn't want us involved in that. I almost instantly missed all the guys on the team. You know, when I was even driving back, I was talking to them, you know, just, it was a bittersweet moment, definitely, because it's something where, and opening up a jujitsu school was, it was something I definitely was looking forward to. But it was a hard-heading transition. I didn't have the people around me that knew what I was talking about. And I was very hesitant to talk to people about, you know, the things I was going through. And I was very hesitant to talk to people about, you know, the things I was going through. And I was very hesitant to talk to people about, you know, the things I was going through. Because I knew they wouldn't understand, just personally. So I tried to just constantly do more work and just try to keep myself busy. So I wasn't thinking about that. Anytime I'd lay my head down to sleep, I would be just staring at the walls, you know, just looking blank look for hours. And those little thoughts started coming back. And I think the most monumental experience where I knew that I had a problem was 2011. So about 10 o'clock at night, and it was later because there was no business open. It was an industrial disaster. And I was like, you know, I'm going to have to go back to the industrial area. And they were doing construction on that road. And there was a white pickup that came up right behind me. And it went right up to my bumper and then backed off to run up again. And of course, spidey senses start kicking off and you start going into, you know, tactical mode in a sense. And I passed my school went about a block up. And I pulled in and spun back around real quick. Made sure that you know, I had around the chamber and stepped out one foot. And I was just waiting for the first person to come out. First person that stepped out was going to get it and then follow up with the second. I was still perceiving threats, all threats is life threatening. They just stopped and I was just kind of waiting to see which one was going to come out first. The only thing that I was really thinking about was who's going to get it first. They ended up just backing out and going down. Never saw him again. What was odd, and what made me realize that there was there was something wrong was no matter what firefight I was in before, no matter what the situation was, no matter how many close encounters every single time my adrenaline would just burst. That was that was definitely something that was really off. Just that was my first indication that something's off. This isn't this isn't right. It took me a long time to actually go to seek out help. Even longer to go to the VA. From my very first deployment, we were given Ambien to sleep on the flight. And then while we're there, because we're only doing night missions, you have the time zone change. We're doing pretty much 98% of the missions at night. So it's hard to make that sleep pattern fit and stick. Ambien is the cure for that. And it worked great. And then when I got back, it was 30 days worth of Ambien and then continued on. Starting in 2007, I was taking Ambien every night to go to sleep. But the problem was, I was still sleepy in the morning. I couldn't really focus. I couldn't just think straight. So I got on Adderall. I was up to about 90 milligrams of Adderall a day and was taking two Ambien, Benadryl and six pack of beer and just hoping that I could get just a few hours of sleep. I was very thankful for that. My health was secondary. This is what I need to focus on. So that's how I stayed on that constantly. It just got worse and worse. I needed to find out, Why am I feeling the way I am and why this constant anguish just hovering over me? Because to this day, I don't have any regret or any remorse of the things that I've done. The things that I've done were necessary, are absolutely necessary. You're thinking about the mission, you're thinking about making sure that you do your job and you do it to the ability where makes sure that everyone goes back home. You're either an asset or a liability. You're either an asset or a liability. There's nothing else. So getting what so home was important for the most part. And suddenly one day, I felt so helpless and I felt that I had to 한 in between and I felt that I'd dropped the ball on that and got you know other people injured or killed and realized I was holding on to that like it was my fault well what if I would have done this if I would have taken ten steps to the left or two steps to the left versus one step to the right would that have changed things would that would have mattered you know and that that spirals you know it's a downward spiral it just keeps getting worse and worse because then you start thinking maybe it is my fault maybe I did screw this up and I just start feeling like I was sinking and sinking and sinking and it was just getting worse the more I sank the more dark thoughts that I had and you know until you hit rock bottom and you feel there's nowhere else to go that was a close call one night and you know glad I made it through that and moving forward from that was just making sure I didn't I didn't want to become a statistic that was actually when I started coming forward and started talking to people and by that time it was you know five six years after I got out you know five six years after I got out you know five six years after I got out you know five six years after I got out you know the stigma had kind of changed you know the stigma had kind of changed you know the stigma had kind of changed and people were starting to recognize and people were starting to recognize and people were starting to recognize that so best friends Johnny Wilson yeah that so best friends Johnny Wilson yeah that so best friends Johnny Wilson yeah he got out of third group around the he got out of third group around the he got out of third group around the same time I did like days apart he was same time I did like days apart he was same time I did like days apart he was definitely someone I could just you know definitely someone I could just you know definitely someone I could just you know without hesitation talk to and it didn't without hesitation talk to and it didn't without hesitation talk to and it didn't matter what it was I just felt matter what it was I just felt comfortable telling them about certain things and you know whether it was talking or whether it was no talking or sometimes that we just had a few beers and without saying a word but it was um it was it was a release in a sense you know the advice that i would give um to someone that was in my situation is don't wait um it's it always seems like especially if that alpha mentality like if you just wait it out you know it'll go away or you know shake it off rub some dirt on it walk it off whatever you need to do it's just it won't it'll get worse and i'll just get worse and worse before you know it you won't be able to do anything about it and talk to somebody you trust more than anything else um that's what definitely helped me out find that find out those people and they're out there and sometimes they're not even all veterans you have the support of those people and so it made a lot of sense you know and i just like we should definitely be able to do this you know and spread this you know to other veterans and we did we managed to put things together and actually made it happen so i'd love to take the credit for all this but i definitely can't it was it was an accumulation a bunch of great people you know put together five years later that we have you know over the last year and a half and a half and a half and a half and a half and a half and a half 300 affiliations nationwide we've put almost you know i think it's just under 100 of the veterans through the program you're definitely seeing the uh the program growing and foundation grows so i couldn't be happier about it so one of the best things that actually came out of we defy foundation was uh being able to get the attention of other military forces for example riorg jiu jitsu foundation was kicked off in england and was actually able to go out to england with chris howder one of the first non-brazilians to get their black belt and we did a tour england and was able to actually just kind of spill the beans on everything that was going on how to get it set up and basically created a mirror image a wheat of five foundation and england for the british soldiers now they have a phenomenal program going they're getting a lot of support so much that they started influencing you know other countries as well and so now there's a veteran grappling which is a Australian based, pretty much a mirror image of RE-ORG and WE-DEFY. Amazing to see it in the U.S., but it works so well that other countries are picking that up and other forces are using that as a way to assist them, you know, their veterans in, you know, coping and reintegrating back into civilian life and dealing with the things that they had to deal with. That was my solution, that is my solution, and I'm going to ride that out as long as I can. The very first thing in order to get any of this started is finding, you know, making sure that you have an understanding of yourself, recognizing that you have a problem, and moving forward to do something about it. Absolutely.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm177.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm177.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm177.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm177.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nWhen I was over in Vietnam, I was over there in the 70s and 71. Then when I came home, you know, I knew it wasn't the same because before I went over there, I was happy-go-lucky, laughing and everything like that. When I came home, even to this day, I don't smile. I didn't talk about Vietnam. And I thought that I would spare people because, you know, Vietnam was not a nice place. When I came home, I know that I started drinking more. And also that I couldn't really hold on to a job. I couldn't have a successful relationship with a person. I would maybe be with them for about a year or something like that and break up, a year, break up. And my job, I couldn't have anyone, like, bossing me around when I did go to restaurants. So I was a little bit more of a boss. I had to have my back up against the wall looking so I'd be able to look at everything. I just keep thinking somebody is after me. And I figured there was something wrong. I had a short temper. I kept yelling for, you know, no good reason. And so I went to the VA, and what they did is they said, well, do you have ptsd? And I said, you know, I don't even know what ptsd is, so I don't know. And they get you. They get you familiar with what ptsd really is and how it's going to affect you and why it affects you. And it was pretty nice to know that there's a reason for what I was doing. I would definitely recommend any veteran go and try to get help. It is very much better knowing the reasons why you're like you are and also to be able to work with someone. Work things out.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm003.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm003.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm003.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm003.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy battalion was deployed to go to Vietnam right after the Tet Offensive. I was wounded in a landmine explosion that killed my buddy next to me. That took a toll on me, wondering, you know, why I didn't die in the blast. Why did I survive? You know, why did my buddy get killed? We would lose someone, and it would be a terrible event. But once I was the squad leader, it seemed to be my fault. With everything that happened over there, I camouflaged all that stuff and just buried it, you know what I mean? The feelings, I mean, I became numb. I didn't speak to anybody about it, not even my wife or my kids. I didn't want anybody to know because I was ashamed. I had these dreams of flying in helicopters and crashing in combat. Those were some of the, kind of the nightmares that I experienced. I was suffering inside. It was just... shaking, sweating at night. I would wake up with a start, sit up and drenched in sweat, trembling, frightened like a big firefight had just happened. And no...I don't know why. I would drink heavily, and then I would get in some kind of fight or barroom brawl. And I got that reputation of this Vietnam veteran that you never knew what he was going to do. My kids told me that, Dad, you need to go get some help. We all noticed that you was always looking out the window, or you were always checking the doors of the house, or you were always walking around like a perimeter, you know? Just...they noticed all that, you know? And they knew my temper was pretty high, too. And so...so I finally went to the VA down here in La Jolla. And I said, I really...I really need help bad. I had this pamphlet, and it had every symptom of ptsd all listed in a row. Every one of them was me. I went to the VA down on 23rd Street and 1st Avenue in Manhattan. My psychiatrist was treating me. Really helped me through a lot of the issues. Just talking about my...you know, what my feelings were, how I can deal with them better. So I go to this psychologist. He connected me with an alcohol and drug counselor, and I got involved in a self-help group. I was able to say things in a way that didn't trigger my ptsd, but told what was going on. I think the group sessions were... were great. We could open up and not be scared to show our feelings, you know, because we knew, you know, our brothers understood us, you know? And that's where the healing came from. From that time on, my life has been getting continually better. If it wasn't for the VA, I have to say, you know, I wouldn't be in the place that I am today. The past, you can't change that past. You know? It's the future you have to look forward to. Find, you know, what's available out there. Everyone's different. Try everything, because something will click with you.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm013.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm013.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm013.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm013.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Curtis Thompson. I was a specialist fourth class in the Army, and I served in Vietnam. I actually had more than one MOS. My most important MOS and the final one was as an oral hygienist. I think the numbers have changed a little now, but I wore scrubs. It was a little unusual that I also worked in the field and was part-time combat medic. The person that I saw for many years who provided medications when I needed them and sympathetically agreed that I should stop taking them when the side effects were unacceptable, retired from the VA, and the last time we met, I thanked him, and I was able to tell him that but for the connection I was able. The first time I was able to make with him, which was the first and the only time I was able to make a connection and continue treatment, was very likely the reason I was there that day to be able to say thank you. But for that, I couldn't be sure that I could have endured and that I wouldn't have committed suicide. The trauma. Of war, of not knowing whether the next step you make is your last, or when you close your eyes, whether or not you'll wake up, changes your body through chemistry, and it creates an attraction. I think my words, an addiction to the adrenaline of fear, and the fear of chaos, war, part of what I think is just beginning to be addressed, that's common throughout all wars for civilians and soldiers, is the mystery of some of the chemistry of the body that makes the persistence of the fear, the adrenaline flow, both addictive and harmful. Simultaneously. And I think that's part of why it's so difficult to deal with. It isn't just take a pill and it goes away. It isn't just tell yourself it doesn't exist. You can't just believe it doesn't exist. It gets embedded in your body in ways that we just can't simply adjust to without putting some effort into it. And part of that effort, the most important step, is simply recognizing that it is what it is, and you're... not unique. Human beings have been experiencing this for millennia. We only in the last few decades have come up with a name for it. Unknown places. Time zone changes that affect my sleep, which is not good, can be very, very bad. An extremely unpleasant event took place on a work assignment where I flew to the Midwest. Week after week and then on to the East Coast and back to the West Coast. And so I was running on sleep deprivation. And one evening in a strange place, which is very difficult for me to adjust to to this day, at about two o'clock in the morning, I awoke to loud screaming voices in Vietnamese. I didn't sleep anymore that night. It was just casual laborers who worked at the hotel having an argument outside the window near my room. But between that and the hot smell of the parking lot that was the same material as the tarmac at the airports in Vietnam, I... I simply had to go. We were in the middle of the night. I go in and excuse myself from my assignments. And it unfortunately was not something my employer understood at all. I'm hoping things are a little better and people are a little better educated. Frankly, the combination of the travel, the sleep deprivation and then the other things that I should have sought and received accommodation for as a job, as an American Disabilities Act accommodation, which I later did. And the company yielded and life was a little better. It was another learning experience. ptsd was such a significant factor even though no one around me at the time knew it and I didn't know it, don't think the term had been invented yet. But the impact on me was so severe that at the age of 23 or 24, I decided that I couldn't handle bringing any children into the world. And so I elected to have a vasectomy. And so no children. I am one of those veterans who haven't learned how to not drive combat mode, to drive defensive mode instead of combat mode. I get very, very upset to this day if I get pinned in in traffic and there are no people around me. There are no options, no easy exits. One of my recent discoveries is that it wasn't just my choice to serve my country, to wear the uniform. Everyone who's close to me also serves, also pays a price. And so my ptsd affects people. I would never want to be adversely affected by my behavior or things that I insist I need to maintain my comfort level. I know I'm not the only veteran who has either avoided entirely or postponing or postponed going to the Veterans Administration for help because I'm not the only veteran. And so the guards areStarting because it's so close emotionally, in my mind it is so quasi-military, that regardless of their intent or how they try to look or behave in my mind at a level beyond my ability to wish it away, it feels like backing the Army. They may be slow. There may be some people who are incompetent and capable of failing. There are those mocking the military. Others, they are. to worried or just struggling. Aliens do not have a donnella card. Do they protect. Put the resident as as a BC 1�. or maybe even ill-willed like there are in any large organizations. But I've also met some stellar people. I've received, in some cases, outstanding treatment as good or better than I've received anywhere else. So it doesn't have to be the severe decades-delayed battle that I went through. One of the really helpful things that came from my first 16-week course on ptsd, right after I learned that I had ptsd, had to do with smells. And my issue with my symptoms were that I had no explanation, and feeling sort of like I was crazy because I might start out a really beautiful, rare smell. And I would go out on a sunny day in my part of the country and get in the car to go to work or go to school. And a transition would happen that was just a mystery to me, and my mood would sink really deep, just be in a huge funk. And it might last two or three days. And many times this would happen. And then I learned that even though I was in a very, even though I knew I didn't like driving behind buses that were running diesel engines, that it was more than just not liking them. That was a trigger that I didn't recognize, but the smell of unburned fumes of diesel in hot weather was what I smelled day after day, hour after hour in Vietnam, because that's how you dispose of human waste. You put it in barrels and you burn it. There are no sewer systems, no septic systems. And it took me a long time and help from someone else in that group to make that connection. Even though the smell was almost identical or identical to what I'd experienced that became a trigger, I didn't on my own recognize it because the beautiful greenery, the driving across the bridge on the lake, in my own car, all of those things were so not Vietnam that just the odor from Vietnam just didn't seem like it could possibly be the cause of what was happening to me. And yet I was feeling like I was just crazy or broken in a way that was unexplainable. Turns out it was explainable. And I still don't like the smell of, I don't like the smell of buses in any weather. But now I don't go into two or three day funks over it. I just get a little pissed off about the whole thing and wish they'd burned better fuel and more efficiently in buses. I came home to hopefully a very different situation than most people are coming home to now. And that when I returned to my job, no one wanted to have lunch in my vicinity. No one wanted to have lunch in my vicinity. No one wanted to get to know me or talk to me. And the isolation, the loneliness was so severe that it clouded my judgment. I got involved with a woman and got married to someone whom I would hope I wouldn't have done if I'd had a clear head and hadn't been, been so emotionally shut down and unable to really interact at an emotional level and then realized that this was a person who probably shouldn't have been married to anyone, but it's certainly a person I shouldn't have been married to. The first time I really heard it and that I decided that it might apply to me, that is the diagnosis of ptsd, was an unintended casual event where I was invited to join my wife and a colleague of hers for dinner. It turns out he also was a psychologist, as my wife is. And when we entered the restaurant for dinner, I did the thing I always do, have done, still do, which was I picked the table and the chair that I could comfortably sit in and eat dinner with friends. With my back to the wall in the corner with a full view of all windows and doors. Somewhere about 10 minutes or so into conversation, this friend of my wife's, psychologist, said, and you have ptsd? And that was it, that was the first time. One of the symptoms that is addressed with this therapy is, persistent, re-editive thinking about something. That's distracting you as well as probably pretty unpleasant. And with the mindfulness, teaching a person to focus on another matter. Something that comes from some of the meditation philosophies. Or even religions. So, you might experience in mindfulness, being asked to eat a raisin or a piece of candy. But instead of chewing it and swallowing it in three seconds, this might take five or ten minutes. And you might be coached into focusing on very tiny details about how that's happening. In my mind, that practice is the opposite of what we learn to do in combat situations where we force ourselves to not feel an itch, to not recognize a scratch, to barely understand hunger or thirst. Because those distractions away from what we perceive as danger might be lethal. It's not only, never too late to get help with ptsd. It's never too late to discover the trigger that you hadn't ever seen or heard before. And I had a really marvelous, successful chance to help a friend of a friend, a man I'd never met, who was a career person. And my good friend, another career person in the Army, who knew I had ptsd and that I'd been working my way through it for years, called me up and said, you know, I've got a friend, and he's having a horrible time. He can't sleep, and named him a few other symptoms. And said, can you help him? So I said, sure, I'd be happy to talk to him. And I talked to the guy. I don't know his name. I don't know his rank. He was in the Army, that much I know. And everything he described to me were things I was familiar with that either were my symptoms or the other people in the other groups that I'd been. Although he was really surprise that he would have ptsd at this point in his life. But the trigger in his case was his son was on orders for Afghanistan. And suddenly the ptsd he either didn't, he might say he didn't have, but surely it was there waiting to be awakened by a trigger event. He suddenly was having nightmares and explosive anger outbursts and withdrawing from people, many, many of the severe symptoms of ptsd. I recently, a year and a half after all of this, or so, asked my friend, well, how's your friend doing, the guy that I was trying to get help with ptsd? And the answer came back with a great big smile. Oh, he's doing great, fantastic. He got what he needed for help, and it's working for him.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/Curtis_Thompson.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/Curtis_Thompson.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/Curtis_Thompson.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/Curtis_Thompson.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nI'm John. I'm 64 years old. I joined the United States Army in 1966 and went in service in 67 January. The shock of being out in the bush or the jungle all the time was a real jolt to all of us. While I was on leave I fractured my skull and had spinal fluid draining out so I left the service. I suppose that one of the biggest challenges was dealing with civilians. When you're used to dealing with a brotherhood that was a a bond that you just couldn't create with civilians and the country was still torn radically by the war. So it made us really cautious when we re-entered society. I'd get frustrated if something didn't go right. Just the stupidest thing. It created a sense of anguish and clenching of the teeth and not understanding anything. I don't know how much I've learned now that I'm in the military. And I'm very happy I'm in this army. I've learned a lot. It's a good opportunity to you know, why this is all taking place. I mean, normally you'd think it wouldn't bother you. And the nightmares. They started about six months after I got out and got progressively worse. I completed school and went to work, became an undercover operative and did some work for the government. I actively looked for that avenue where the adrenaline pump was continuous and carried a weapon. My relationships with people were superficial at best. I saw myself on a road of deterioration. And finally, I'd ruined not just my life, but my family's life. I'd ruined not just my marriage, but I'd ruined some friendships, you know, with people that I liked, all because of outburst or rage or, you know, temper. And so it was 1983 when I first drove to the Vet Center up in North Tampa. Pulled in the parking lot, sat there for 45 minutes and couldn't go in. And so about four months later, I went back because things were just, everything was coming apart. And I went in and I talked to them, told them about my problems, told them about the drug problem, talked to them about the flashbacks. I was reluctant. It was difficult for me to talk about problems. That was, I think, there was an element of embarrassment and I was, you know, I was just, you know, I was just, you know, I was just, you know, I was just, you know, and also the difficulty in exposing what I believed to be weaknesses. And I continued to struggle. I was getting, I was right back in the hole, contemplating suicide, struggling with the nightmares. I went. I went to a ptsd program in 2000, in 2001. It's a 90-day program. I was there for 105 days. I went through every conceivable type of, and believe me, it's an excellent program. If you have too much time on your hands and you find your, you know, you're not able to do it, you're not able to get your mind to work, you're not able to do the things that you're supposed to do, you're not able to get your mind to work, and you start to find yourself becoming irritated and anger because you don't understand what's going on in your brain. Make a point to get help. Just start the process. Be willing to put your pride aside and say, I need help. I'm not doing well. Just get out there and get the help you need, and do something. It's going to be a hard time. with your life.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm023.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm023.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm023.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm023.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Sherry. I served in the Army from 1985 until 2009. I was at Vance Party, so when we first got to Iraq, the warrant officer and I, we were in a convoy. And just as we were entering the FOB, a land mine went off. And so I got out the vehicle. At the time, I didn't know, I didn't realize that I was dazed. And I fell full front on the ground. You don't know if you're going to be okay from one minute to the next because you don't know when the FOB is going to be attacked. So you're kind of always in attack mode, you know. I was in charge of a group of soldiers there, so I also had the stress of making sure that my decisions did not put their lives in danger. I was a senior noncommissioned officer. And I worked for a sergeant major. And every day, he'd say something to me, corner me, just inappropriate behavior. And I really didn't say anything because when you complain as a woman in the service, people think that you're a troublemaker. You start to become, you get labels. And, you know, I didn't realize then that because of what happened would lead to trigger other things that happened to me once I got home. I got back and found myself standing in my bedroom, all dark. TV screen on, curtains closed. I would interact with my daughter, but I knew something was wrong. As much as I loved her, I wasn't really the same. And I couldn't really show her how much I loved her, even though in my head I knew. And so the days went on, the months went on. My stomach was in knots. I didn't really understand that I was suffering from ptsd. I couldn't really talk to anybody because I was a Master Sergeant, E-8. I was still in charge, still stressful. And if you thought that something was wrong with you mentally, there was still a stigma that if you went to get help, you were probably weak. So I didn't say anything. I got back in February 2005, and it took me from February to October where I just knew I couldn't take it anymore. And I scheduled an appointment for myself, not at my local clinic, but at a place called Wurzburg, which was a little over an hour away. And I would go to the mental health counselor. And when I first went, I didn't really even think that I still had an illness. I thought I just needed somebody to talk to. The first time I went, I just broke down. And I knew something then was really wrong. And so I went, and I saw a counselor from 2005 all the way up until I got out of the military in 2009. What I got out of it was that it's okay, first of all, to know that you went to war and the war affected you. I didn't have to be so poor or strong. I don't think I would have lasted those years left in me. I was in the military without mental health. Since I've been out of the service, going to the clinics in Germany were helpful as well. Now that I'm here in the States, a whole new world has opened up with going to VA. I went just for a general appointment. I found out, as well as having ptsd, that some of the sexual abuse that I had, or harassment I encountered, how much it impacted me. I didn't even realize I harbored those feelings inside for so many years. So, the programs that are available to vets, incredible. Military taught me how to be stronger, how to have faith in myself, to trust my instincts, to fight when I needed to. It taught me how to be a leader. And once I learned how to be a better leader, I learned how to be a better mother. I don't know if I would even be alive if I didn't go get help for myself. So, go get help. Life is far more worth living than not being here. I'm so glad I'm here.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm030.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm030.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm030.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm030.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Skyler. I was in the Army, active duty, six years. I think the overall experience of being in a combat zone stays with you forever. I think my vehicle got blown up directly maybe four times, and indirectly, you know, a handful of times. So I think there's like an anxiety that sticks with you about stuff like that. Getting out of the military, it's scary, you know, because you have this whole life that you learned. For me, it was six years active duty in an infantry unit. Now I have to all of a sudden go be a civilian. I didn't have any Army buddies around, so I didn't have people that I could talk to and hang out with. And I kind of felt alienated from the civilian world because I didn't share anything in common. When I got out, I didn't think that I had ptsd, you know. I almost thought like ptsd was something that people who couldn't handle the intensity of their job had. And when I got out, I didn't think that I had any issues or mental health issues that would affect me. I didn't think that I had any mental health issues that would affect me in the civilian life. I found that I was having trouble controlling my emotions sometimes, my anger, my frustrations. It was easier for me to get frustrated. And when I did get frustrated, I took it more seriously, as if something serious was going on. If I was running late to a movie, I felt like I was running late to a mission, and people's lives were at stake. But that wasn't the reality. That personality characteristic, that intensity, that drive makes you succeed in the military, but it doesn't in the civilian world. It alienates you. And I had to back off and let that go. And that was hard. It was—it took a lot of other people coming up to me and telling me, hey, I think you have ptsd, or hey, I think that you have things going on that you need to talk about or you need help with. I said, no, I don't think I have ptsd. What could I have ptsd from? And I was always thinking there has to be some specific event. I don't have a constant nightmare where I wake up and I'm reliving a specific situation. I'm not constantly bunkered down in my house behind sandbags, you know, waiting for the invading army to attack. No, I don't have any of those things going on. But there is something kind of wrong, you know. I do have this agitation, this anxiety, this hypervigilance from time to time. Maybe something's not right. So I went down to the VA, and they asked me, they said, have you ever been blown up before? Or have you ever been exposed to a blast? I said, yeah, yeah, quite a few times. And they were like, how many? And I told them, and they were like, wow, well, you probably have traumatic brain injury. They helped with my memory and concentration issues and how to regulate my mood and stuff like that. And that was a really productive experience because at one point I felt hopeless. I felt like I'm on the road to not recovering. I'm on the road. I'm on a downward spiral. I'm on a downward spiral into some abyss of, like, you know, mental disability. But working with speech pathology and TBI clinic at the VA just, I mean, they had me turned around quick. In a few months I was in school. I go to the Boulder Vet Center, but there's one, seems to be one, located within proximity of every VA hospital. My therapist was an infantry soldier. He was deployed to Vietnam twice. And speaking with him, working with him, it made me feel comfortable to talk about my stories because I knew they were familiar to him. He knew the same emotions that I knew. He had the same feelings I had. Vet centers are great because they have this group dynamics aspect where you meet all these other combat vets. And I think that requirement alone creates a little bit of brotherhood that makes me feel comfortable walking into a group because I say these guys know what I'm talking about. They know what I know. They've seen what I've seen. If I'm going to open up or feel uncomfortable or be in an awkward situation, it's not going to be awkward because they have those same feelings. And any advice they have for me is going to be beneficial. And, you know, I can take it to heart because it's coming from somebody with the same experiences. You're a civilian now. And the best way to, I think, come to peace with all of that stuff, the best way to come to terms with all of your experiences, is to talk about it, is to find other vets in the community, is to go to a local vet center down at the VA and talk about those experiences. The first thing I would say to anybody is it's not abnormal. You know, all the issues you're dealing with, you're not alone. You are not the only one. You're not weak. And the second thing I would say is go down to the VA. There's no better place to get help for a veteran than a place that is employed by veterans. Right. That is run by veterans and is designed to work around veterans. I want to be a behavioral and cognitive therapist that works with combat veterans. So I'd go from Skyler the high school dropout to, you know, staff sergeant to, you know, Skyler the rugby player to doctor. You know, and that's a path that I couldn't have even started without the VA, you know. They set you up for the road to success there.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm137.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm137.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm137.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm137.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Louie Bickford. I served in the Navy. I went in in January of 67 and I spent 12 years. I did two tours in Vietnam. I ended up as an E6 electronic tech when I got out. I'm a Native American or American Indian. They keep changing it on us. And I'm a member of the Little Shell Tribe of Chippewa. I was a side gunner on C-Sprite helicopters off the USS Hornet. We would go out and try to rescue the pilots if they were making a bombing run across North Carolina. They would try to ditch in the Gulf of Tonkin and we would try to get to them before the North Vietnamese gunboats did. No relationships. I'm on my third marriage. Most of that is because I just didn't let anybody close to me. And so after I got out of the Navy and got divorced the first time, then I spent most of the rest of my career in the Navy. I spent most of my time working two months here and three months there as a construction worker. It was easy. You worked 12, 14 hours a day, six, seven days a week. Didn't have time to think about anything. And when you're off, you're in the bar, you know, a lot of drinking, a lot of drugs. You know, you just kind of like stayed numb. And I did that for many years. So that's why I lost my second marriage. And the one thing that I remember is that I was a little bit more of a drug addict. My wife I have now, we've been together for 20, 25 years. And about five years ago after I got into treatment, she says, you know, I put up with you and I would like you. I didn't realize that it changed, but other people around you see the change. You know, I went in just to see if I could get something. You know, I was bound and determined, you know, it's going to work the system. You know, they owed me something, I'm sure. You know, I had that attitude. So I did my first ptsd interview and fortunately, Pat Noonan, who I still work with, was my intake counselor. And she is an expert at making you feel at ease. And you don't even realize you're talking about the things that are bothering you. You know, it just very gently, easily comes out in a conversation. She doesn't say, well, you know, do you have this, do you have that or whatever. You're just talking to her. Next thing you know, she's got her form all filled out. And then she kind of goes, well, you know, here's the scores and, you know, you've got these things going on and these issues going on. And, you know, and I'd like to have you come back with your wife next time and maybe we can both talk. And by the way, I'd like to set you up with an appointment with a psychiatrist because I think some, maybe some, because of your anger issues, maybe some of the medication would help that. So that was the beginning. My problem, my biggest problem was rage, uncontrollable rage. You know, I'd be sitting here talking to you, you know, maybe in a bar having a couple of beers. You'd say something, I'd snap. And I'd just like, oh, my God. And I'd almost like vomit rage in your face and just come on glued. Never got to the point that I hurt anybody, but it was always there, you know, close on the edge. I never knew what VA had available. And the real truth of it is coming back from Vietnam, there was nothing much available. They didn't know we had ptsd. They didn't know what it was. And unfortunately, and this is one hard thing I have to tell you, is that probably when you came back from Vietnam, you found out the same thing I did, VA didn't even want to talk to you. You know, you were unwelcome. Not only were we unwelcome home, when we came home, nobody wanted to talk to us. You certainly didn't tell anybody you were a veteran from Vietnam if you went for a job interview because they wouldn't hire you. You know, so. So. I guess I always knew I had a problem. But I didn't know that VA was there or that there was an answer. And there probably wasn't an answer at that time. But there is now. The VA has changed, you know, completely. It's a whole new world. There is help. They do care. They are vet friendly. In fact, yes, most of those guys in VA are us. You know, the ones working there are us. You know, they're our age. They went through it with us. You know, so it's changed completely from back in the 60s and the 70s. The reason that you may be scared to come in, right, is that, number one, you're not sure that you have ptsd. Number two, you're not sure that you want to open up those wounds. You're not sure you want to, you know, the hardest thing you're ever going to do in your life, if you decide to do this, is go through ptsd. Because you built a wall around all the hurts, all the aches, all the pains. You've learned to deal with it one way or another. You know, however, you know, we all take different ways to do it. We build walls somehow around all this pain. So what you're going to have to do is, you know, you're going to have to do it. What you're going to have to do is, just like an onion, layer by layer, you're going to have to peel that back. You're going to have to peel it all back and open up all those wounds, all those nightmares, all those flashbacks you used to have, all the stuff you came home with that scared you in the middle of the night, that made you reach for a gun, that, you know, I can remember when I came home, you know, I got up and there were hair brushed across my face and I slugged her. You know, it was just a reaction. You're just, you know, you're always on the defensive. You've learned to cope with it, or you think you have. Okay, but now we're going to go revisit all those things, and that's going to hurt, and that's going to scare you. But you've got to do it. Because, you know, it's... The example I use, you know, is, say you've got a fester on your arm, right? It's all scabbed over. Okay, so it doesn't really bother you anymore. It's just, but it's festering all the time, okay? The only way to cure that is to take that scab off and clean that wound, and you're still going to have a scar. It's never going to go away, but it won't be festering anymore. What really happens is that you... You end up talking to the psychologist, the counselor. And a lot of that is just conversation, just talking, talking things out. You know, having somebody that, in a way, is a stranger that you can talk to, you know, that's not family. You can release some of this anger, some of these issues. They do more talking, and they usually do more listening. And it's a relief valve. Oh, it's never too late to go, you know. Sooner's better. You know, if I had realized I had ptsd, if the treatment was available then, I don't even know that it was. Fact is, I know that it wasn't, actually. I've worked with vets who did go for help. And they ended up with electrical shock treatment stuff. So there was no help back then. But when help was available, the sooner the better. I mean, you know, I don't know my children. I get divorced. My daughter was 12. My son was 8. They live in New Hampshire. We see each other once in a while. Now they have their own families and their own careers. Now it's every two or three years. So... Yeah, that all could have changed. Could have been different. In the Native culture, there's always been... How do you put that? There's always been a recognition of what we call ptsd. Through the centuries, what would happen? You'd go out... Warriors would go out on a raiding party and then come back. They actually would be set aside from the rest of the people for two or three days and meditate. And the elders would talk to them and they'd do ceremonies and cleansing before they returned to their families. Because, you know, there's a difference between a warrior and fighting and the family man. And we've always known that. And we've always treated it that way. I tell a lot of the young kids who are coming home, you know, you need to talk to your elders. You need to talk to your family. You know? Yes, you need to come with me and talk to VA. Because we've got something to work with you. But because of your culture and your background and the way you're raised, you're more receptive to the cultural healing from the Native culture and the ceremonies than you would be talking to a psychiatrist or a mental health worker. Not that you shouldn't. But you should connect with them. Connect the two. They should work together. You know, the way to heal is to put those together and make them work. The ptsd will hit you hardest when you retire or you're out of work. Because you don't have that. You're not occupied all the time. You get too much time to think. And it starts crashing on you really hard. So it's bad enough when you're active and you're working all the time. But once you're not working, it's horrendously bad. You know, so it's... So, you know, how did I avoid it? I avoided it by working all the time. I avoided it by, you know, coping, you know, self-medication, they call it. Drinking, drugs, whatever, anything to numb you up. No relationships. I had, at that time, no respect for authority. So if I was on a job and I didn't like it or somebody said something to me I didn't like, I just walked off. I'd go find another one. I don't care. I actually didn't care about a lot actually. I was nervous. I don't think I was scared. One thing I did do that I would not recommend for others to do, I could recommend for other people, is like I never went to group counseling. My situation, part of it was I didn't go to group counseling because I owned a saloon and most of the people I kicked out of my saloon were in group in our small town. This was not going to work, you know. So I did one-on-one counseling. And that was very helpful.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_Louis_Bickford.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_Louis_Bickford.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_Louis_Bickford.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_Louis_Bickford.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nI'm Tom and I served in the service in the Army Air Corps in 1945 until 1948. I was going to come out and make a career and I joined the Inactive Reserves to go back in to keep my rank and time and my GI Bill. I found a good job, good money, good pay, and then they called me up in August of 1950. I had a report the first of September and I went to Korea and I was there until 1951. It was a living hell and it was tough in that infantry and the worst thing about it, you know, bodies and friends close, you lose. It makes you sick at your stomach. It's tough, but this is one of the things that when I came back it threw me. After I came home I had problems. I had nobody, I didn't know how to work them out, you know. I couldn't walk very good and I had some problems to hold my job down, you know. But I had a problem with my remembering things and that. I thought, you know, weak, I was weak, you know. Man doesn't leave things like that bothering him. And the trouble is if you keep too many things. You don't, inside you can hurt yourself. I lost my wife through death and being a widower and 34 and a half years married, it knocked me and I didn't know what to do, you know. I drank too much. I took the pills and I drank, took the pills and I dropped the pills and then I had to go into a detox. I was in a coma. I was in a coma. I was in a coma. I was in a coma. In my last soaking I took the D-cz将 to the clinic for chemo. It was mean the treatment from the doctor. told me I had post-traumatic stress and I what's that you know next told me what it was and after associating with the guys my buddies up there who had the same problem I understood my problem I went to a psychiatrist and told me what to do you know talk to me and the best thing for me even today when I go up and I spend the time with my buddies up there and we're all in the same boat we serve together I see them it's like a shot of adrenaline we can talk we can we can say things our whole life if we kept inside and we can tell each other and we we understand each other you know and everything's between us it stays in that room don't wait wait until you're 70 80 years old and find out what you know and I think that's what I learned and I think that's what I learned and I think that's what I learned and I think that's what I learned and I think that's what you had what you have to do look you what you had what you have to do look you\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm040.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm040.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm040.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm040.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Father Bob and I'm former United States Marine Corps. I served in Vietnam in 1965 and 1966, part of 67. I ended up at 1st Recon Battalion in the beautiful area called Chu Lai. We experienced some very, very difficult things. Everything that was taught to you so that you can be a protector of the personnel underneath you. And sometimes that's possible to be done and other times it just isn't. My first experience with combat fatigue, whatever it was because it was ill-defined, in fact it was not defined, was going to my parents' place and visiting them and it was over the 4th of July weekend. And firecrackers went off and I happened to be resting. And the air was so cold. I first thought that when I gained consciousness, frankly, I was screaming incoming, incoming, and having my hands over my neck, face down. And that trauma type, those triggers, stayed with me for 35 years. Nothing was understood. So you had to suck up and just cope with what you had, thinking, there's something wrong with you personally. I sought ways to obliterate or mask this angst, the sweats, the screaming, to the point that my wife had to sleep in another room. I tried to mask it with a drink. And in retrospect, I'll say that I was a functioning alcoholic. My first contact, and serious contact, with reaching out was with the Vet Center. My oh my. There was a counselor there and he kind of took me under his wing. We chatted for a number of sessions, a number of sessions as I was progressing. So part of the process in going through this was, of course, an evaluation, physically as well as mentally. And it was determined that I did indeed suffer from this thing called ptsd. And for the longest time I had trouble with that acronym because I just didn't, I guess, want to accept it. It took some years for things to start coming out. A few sessions my wife attended. And she vocalized her problem with my drinking. That's when it really struck me that, hey, wait a minute. Look who you're hurting. We've had a better marriage since that reality struck home than we've had since the week after we were married. So it's been a very humbling experience. And over the course of time, I was able to dissipate the sweats. I was able to dissipate the screaming nightmares. I was able to dissipate the, to some degree, the shock that comes with loud triggers. So the counseling helped in a very, very major way. But it was a combination of the counseling and the medications. The counseling, gave me a better strength of character for myself. Made me feel better about myself. And in many respects, engaged me to reach out to others. People are starting to realize they're not alone. And I don't mean not alone alone, but not alone in this phenomenon happening to them. There are others that are just, just in the same situation as they. There are organizations that are there to help. There are people there that want to help.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm083.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm083.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm083.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm083.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Leonardo Vince Bryant. I was named after Leonardo da Vinci. I go by Vince, former US Marine, also a sergeant of Marines. Did eight years in the Marine Corps. I was deployed twice in Iraq, western Al-Anbar province twice, and also did a mission in the Horn of Africa, Nairobi. I worried about being ambushed. For some reason I couldn't leave Iraq where Iraq was. Everywhere I go I'm setting up a perimeter. I'm looking at this, I'm looking at that, I'm hearing sounds, I'm hearing different, you know, things that I'm hearing. I'm hearing different things that I'm hearing. I'm hearing things that I'm hearing. I'm hearing things that I'm hearing. I'm hearing happen that would automatically take me right back to a patrol, or being out, outside like we say in the military, outside the wire. So that caused a lot of isolation. Long as I can control my little area, then I'm fine. But outside of that box, I'm vulnerable. Certain things that used to trigger me off were smells. I now go to restaurants, but prior to that, I wasn't going to restaurants. I was isolating in my room, and one day when I figured out, hey, I need to go get something to eat or I'm going to starve, I went out and I wanted to go to the restaurant that I normally go to, and I couldn't go. I sat out in the parking lot contemplating if I'm going to go in, and sure enough, I got a whiff of a smell that reminded me of Iraq. And I just left and went to a drive-thru. That way I wouldn't have to go inside of a restaurant. We take on a certain type of military mindset in the Marine Corps, so if they found out or you're going through treatment, okay, he's nothing now. He's giving up. He's wussing out. So I never wanted that title because I was always a squared-away Marine. But squared away ain't always good when you're dealing with issues of that type. What happened was people started leaving from around me. They stopped trying to associate with me. I'm like, I mean, what's the big problem? I mean, which kind of attributed to probably the isolation. Now that they're leaving, now this is another reason for me to isolate in my room because I don't have a reason to go out. I don't have any friends. I done ran everybody off. My family, they are tiptoeing before they say anything to me. They're watching what they say, unlike how they were prior to me going into combat. It made me feel worthless, to be honest with you. It really made me feel worthless. Here I am. I'm the ideal parent, the ideal example. And now I can't reach out to my children based upon what I've experienced. Let me just put it that way. You know, and another thing, too, I mean, my children were all I have. I mean, at that point, everybody else is already gone. Leave them alone. But my children. My children was like my last bit of love. My last little bit of hope that I had. There was an incident where my mother wouldn't allow me to see my daughter. And I want to touch a little bit on that. Not allow me, but she would shelter my children prior to them actually coming to me. Hey, don't do that. Because that would trigger your dad off. Watch this. Be careful. So I'm seeing this. I'm like, these are my children. Which, after feeling, you know, something like that, I really, you know, it's like a wake-up call. Maybe I do need to go get help. You know, it ain't nothing like mama. And mama, she would tell you, you know, Hey, I'm seeing things. I'm seeing things. You know, so. That's one major incident that I remember. My first round of CPT. I would listen to just the instructors. And I would definitely pay attention to them. But I wouldn't do the homework. So the second round of CPT is when I actually took it serious. And once I. Took it serious. And I start seeing, you know, me changing. The instructor would always tell us, those who would do the homework will reap the benefits. And sure enough, I took that advice on the second round. And started reaping the benefits. And my thinking started changing. My life started changing. I couldn't keep a relationship. I've actually been through three relationships up to this point since I've been back. The second time. I've done two tours in Iraq. But the second time. I've been through three relationships. And it has a lot to do with a trust issue. It has a lot. I guess you would say getting close to someone and actually losing them. I mean, the root of that comes from losing soldiers and sailors, Marines, who I actually served with. So that's where that comes from. So it kind of bleeds. And I'm not saying I'm losing to a relationship, which is why I couldn't keep a relationship. Because I'm thinking I might lose that person too. My daughters, based upon what my mother kind of told them, hey, be careful. Now they're not like that. They just run to me anytime. And I would notice at times where they were reluctant or sketchy on, you know, hugging me. But now it's not an issue. They see a change. They see, hey, daddy is still daddy. And we can hug him whenever. And we can come to him. We can talk to him. We can sit down. I'm also a single parent of an 18-year-old. So she sees, you know, that my father is different. He did something. We don't know what it is, but he's done something to better his life and to strengthen his relationship with his children. That's one of the most awesome feelings for a man to know that he still has access to his children. He still can be loved in spite of what he done in combat. He's still loved by his family. CBT changed those thoughts. For example, if I'm walking down the hall, and I can use this example because this was definitely me. I walk down the hall and I will see someone. I'm walking on the other side of the hall. Whether I know the person or not, if I greet you and say hello, you don't say anything back. Now, here I am assuming, well, this guy got something against me. What did I do to him? Why are you being disrespectful? Through CPT, now that I look at it from different eyes, let's take, for example, that person may. Couldn't hear. Now, here I am assuming this person disrespected me. So, CPT just caused me to think in a different manner. Later on, I actually met that same person that didn't speak to me. Come to find out, he was deaf. So, CPT causes you to think and look at the full picture, the full scope. Prior to CPT. I mean, it was like, just whatever. Stay away from me. Don't say anything. Get out of my space. Now, for me, it's funny just to even talk about it now, for me to be the old me, courteous, respectful. I finally got back the old me of respecting people. Not thinking that everybody is against me. There's two reasons why I didn't get help right away. The first reason, because I was still in Iraq, even though I was back in Houston, Texas. I was still in Iraq. The second reason, because I felt that civilians were the ones that was wrong. There's nothing wrong with me. I'm a decorated Marine. I'm squared away, never had any issues in the military. So everybody else was wrong instead of me. So basically, it was my mindset, the mindset that I took on at that time. I know what you're going through because I've been through it. You know me, Sergeant Brian. I'm not going to sell you anything that I have not been through. I know it works. I believe it works. Look at me. You remember how I was. Stone-faced, always wanted to fight at the bars. Picking fights. Couldn't go home. Well, I'm seeing the same thing in you. I don't want you to go down the same road that I went through. Because, you know, you might not make it like I did. I want you to try this program. I really want you to try it, not just because I'm saying it, but because this is something that can help you along with your family. And as we was always taught, simplified, we say that, but this is a good time for you to live. Think of that. Simplify. Always faithful. Always faithful. Be faithful to yourself by getting some help. Children laughing was a big deal for me because it reminded me, when we were on patrol, you would always have the children run out of the areas that they were in, asking, you know, the soldiers and Marines for things, and it would remind me of, you know, the experience of being overseas. In country. What made me a boy was, personally, my children. When I hear them laughing loud, when I hear them talking loud, loud noises, let me just put it that way, loud noises from children laughing, I would automatically, now I'm back in Iraq, just on the strength of hearing, not just my children, but children, period, playing. So that was automatic. Automatic reminder, okay, now you're back in it.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_Vince_Bryant.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_Vince_Bryant.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_Vince_Bryant.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_Vince_Bryant.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Donnie Prevost. I was raised in Boston. I was in the United States Marine Corps from June 69 to October 70. In the Marine Corps, the military occupational service under I was under was called 0311, Grunt. I was in 0331, which is machine gunner. You can be walking down the street on a rainy day and a smell can come into your nostrils and set you back 35 years to a place, a day, and a time in your mind. You can close your eyes for one split second and see it, almost see it. And usually that day, something happened that affected you. And then you'll contemplate that for the day because that feeling came in. Or you'll just move along. When I got there, the people that I met were so nice and they were so caring and intelligent about how to get the truth. And then Neil, my personal counselor, was a game changer because he said he was the game changer in the sense that he was a combat veteran. And he knew what I was going through. And so we would joke and talk about it. And through a series of about 10 sessions with him, I was on my way to realizing that ptsd was crushing me and alcohol was a problem. And for the first time in 40 years, I realized alcohol was a problem. I was medicated for my first year. I needed medication. Just anti-anxiety type medications, things like that. And then I found that through my counseling and through other things, I got better. I'm talking about hardcore depression. I'm talking about the black hole. Just the black hole where you just don't care. You know that no one will ever get it. You know that there's no one out there who could help you, talk to you, where you're always down. And you don't know why. You just survived a war. You should be happy. You just got out of the service. You should be happy. You put all that service in. It's over. Now the rest of your whole life is ahead of you. You're trained. You're ready for the world. And then all of a sudden, something goes wrong. And you don't know what it is. And if you don't know what it is, you're going to die. You're going to die. You're going to die. You're going to die. You're beginning up with ptsd. And if you don't address it, if you self-medicate, alcohol, drugs, what have you, it blows up. It's writ large then. It becomes writ large. Very frightening. Because then you, me, when I drank, that's a super depression. A lot of veterans will not get help because of pride. They will come home and say, I will not ask my country for anything. I will not go to the VA. I will not go to a hospital and say, help me. I think something's wrong with me. Because there's a stigma attached to it. If you're post-traumatic stress disorder. My little stepson the other day, 12-year-old little boy, looked up at me and said, I said, yeah, I have to go interview about a ptsd thing. And he says, oh, the Kugelmann. You know, this is the perception. And that's not what it is. ptsd is a unique thing for unique people. Just another condition. It's treatable. It's treatable, but it has to be recognized. The heart of America loves you. You're the best, the brightest, and the finest. If you've got a problem, there's help there. Thank you. Just know that there's help there. But know there's a problem. Just help yourself. Help yourself. Don't let the enemy beat you after you come back home from the war. Don't let that happen. You have everything to live for. Everything to give. And you are at the height of your powers. In the prime of your life. Just don't let bad things creep in. Just think positive. Stay positive about your role. About who you are, what you've done. It's astounding to me how some men get affected by it and others just get over it. I respect those men. But for me, it was a... I don't know. I don't know. I don't know. I don't know. I don't know. I just don't. There were some things that happened that just shook me to the core. I was never the same after that. I was more damaged than I thought I was. It took years to figure out that I had such a thing as ptsd. For 20 years I had pretty much put Vietnam on my mind. 9-11. The Epiphany came. 9-11. And all of a sudden, everything intensified. All my feelings, all my frustrations, all the bitterness and the depression I had over how our war was misunderstood and what we did there, all of it came out in a moving, nervous breakdown. I was just a moving, nervous breakdown for months at a time. Suicide, thoughts, all of that stuff was going on in 2001 with the drinking. I had never been suicidal, ever. I don't think that way. It's not my style, ever. So that was another sign. That's when I went to the VA for help. I met some people at the Vet Center in Boston. And what these people do, it's right down the street from where we are now, what these people do is really stunning because... they took me and they listened to me, but it was a different brand of counseling. It was veterans on veterans. These people are combat veterans. They know what we call seeing the elephant, which is combat. That's what we call it. And they know how to deal with you. They know what ptsd is. They're well-versed in it. First, I was working with Neil on just individual therapy, just talking. And just telling my story the way it was. He wanted to know my story. And he'd throw in comments about that, using me. And he was very good at what he did. He had a way of making you feel better about getting this out and putting it in the public domain. You had a trust in him. It's a trust that veterans have between each other.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/combined_Donald_Joseph_Prevost.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/combined_Donald_Joseph_Prevost.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/combined_Donald_Joseph_Prevost.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/combined_Donald_Joseph_Prevost.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nTrying to feel things. I think this is something all veterans and families struggle with, the connection. My name is Don, United States Marine Corps from 1968 to 1974. One tour of duty in Vietnam in 1969. I was a wireman, but when I got to Vietnam they didn't have any wire. So they threw a radio on my back and said, here, go on patrol. When you're in combat situation, there's a bunch of us out there, two, three, four tours of duty. We've been numbed. Coming home, then all the emotions start coming back in. I've become very withdrawn and depressed. So I'm on hold all this time. By chance, I called the helpline and they said, you need to go to the VA and have them work with you. And I did. And now I'm here. Now I'm depending on the VA for support and help. The counselor there, he says, well, you have a classic case of ptsd. I found out who I was. They started giving me the medications that I needed and asked me the real question that you're supposed to ask. Understanding and supportive. I found racquetball to be one of the most relieving experiences. I'm focused on the game. It was an intense game. And so out there, I can pound that ball. And I can win that game. And I can win the fight. When you wake up in the morning, you have to make a decision. Do I want to dwell on this? Or do I want to do something positive? I started getting involved in community activities. Being involved takes some of that negative energy and disperses it. My wife loves me dearly. I love her dearly. And I'm in a place where I'm not alone. And I'm in a place now where I'm really happy with myself and who I am. If you're lost and don't know what to do, reach out. Seek help. The toughest thing to do is ask for it. The VA, it's not just people, it's family. Don'tUSTarryll Erasmus\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm093.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm093.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm093.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm093.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Linda. I served in two different military branches. I served in the Army for six years and in the Air Force for 15 years. I served as a nurse during wartime, a combat trauma nurse in Balad. I worked night shift, and so every night we would be getting the most severe injuries. I watched people lose their arms, their legs, their heads, their life. It was almost like I told myself I didn't have a right to start having problems. Whatever you do in the military, when you're in that war zone, you're focused on your mission, you know, whatever that is. And you don't allow yourself to kind of take in what you're seeing. But the sleeping problems turned into nightmares and a little bit of isolation. I actually avoided thinking about it by becoming a worker. I was a workaholic, and on the outside I looked great. I became field grade nurse of the year. I did a lot of things that I hid a lot of my emotions. Whether you're active duty or you're a veteran, the stigma of seeking help is one of the main reasons most people don't get help. I was, I guess, lucky in the fact that I was placed with an individual that was trained in trauma therapy. And would actually meet me right after my night shift. And we met and did something called prolonged exposure, which was really tough. But it worked. For me, prolonged exposure is looking at a few of those traumatic experiences. You kind of go back in time, in a way. And you reprocess that memory. You take it very slowly. And you record it. And my homework at night was to listen to that recording several times a day. It basically was the foundation of me getting better. I was able to remember things more. Be more out in public. I was more aware of what triggered me and how to manage those things. And it's not just one thing that works. There's a combination. And it's different for each individual. I have a service dog that helped me tremendously. She allowed me to go to school, get my Master's degree. She went to school with me every day. Got my psychiatric nurse practitioner. And now, actually, I work at the VA. I've had several patients tell me, you know, I didn't lose my leg. I didn't lose my arm. You know, I feel like it's almost I shouldn't go there. And I'm like, I'm not going to go there. I'm almost I shouldn't go there. The reality is there's all kinds of care there, both mental health, physical help. But also, when they come, even if they don't want to continue at the VA, I give them resources in the community. Sometimes coming and talk to either a transition assistant or coming to mental health, they can give that information out to the veterans. ptsd is treatable. You don't have to have it the rest of your life. We all in the military a lot of times think we're the only one. We don't know that there's this big wave of veterans that have been exposed to trauma that can get help. They can get better with good therapy. And it's different for each individual. Good therapy, support from the family members, and they find their mission again. idelityspasacreball.org\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm050.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm050.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm050.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm050.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Vernal. I'm a former U.S. Marine. My primary MOS was 5811. I was in military police. It's back in like 1983, I believe it was, the Polaris Missile Site in Goose Creek Naval Web Station here in Charleston. We had trenches raised. I got in and I surveyed and I see it and I said, wow, my God, I said, these guys can't drive these big LTBs, man. Someone's going to get hurt. I go back and I report my findings. He says, Sergeant, I'm the officer here. You get the men out there and you train them. These guys have never driven. Going up here, so I'm riding up and down the platoon. Well, I circle around to come back up to by this time, this guy runs into one of the hugest oak trees that they have over there. On the Naval Web Station, it was known for big oak trees. The top bounces off, it hits the private, it goes in to his chest, he falls back in the vehicle. I immediately respond to the answer then. I call it in as I'm getting there. I get in and this guy, this guy is lying here. He says, Sergeant, you promised me you wouldn't let nothing happen to me. He dies. But I wouldn't leave. So I guess I kind of just went into a different mindset. They kept trying to get me out of the vehicle. I wouldn't get out of the vehicle. I never had a Marine die. This is peacetime. I'm not in a conflict. And for years, you know, I dealt with that with, after I got out of the military, I dealt with that with booze, you know, alcohol. Ultimately end up going through a divorce. I was always agitated and irritable, but I didn't know what I was dealing with. I started smoking marijuana, heavily drinking, and I would take any type of pain medication I could. Yeah, man, in these dreams, I'm not sleeping well at night, you know. In 2000, a good buddy of mine I ran into, he says, man, what's wrong with you? He said, man, you always irritable. And every time I see you, you're at the bar, man, you're drinking and you, I'm like, man, I'm still in so-and-so. He said, well, you was in the Marine Corps. He said, why don't you go to the VA hospital? So in 2000, I go to the VA hospital in Philadelphia, but I was not getting the counseling type things I want. Then there again, partially I have to take my father to blame when I had appointments set up and whatnot, I didn't want to go. You know, and I mean, that's the way it is. So what happens to a lot of us, we have a certain type of pride that's instilled in us from serving in the military and looking at our age and looking at, you know, from where we come from and where we're at. A lot of times the veteran, like me, I have to take the onus of that, did not want to get the help once I even started going. Because you got to realize I'm still battling alcohol at that time. I'm still, you know, taking pills and smoking pot. I was very numb, you know, I was very agitated. My family kind of ostracized me. You know, my mom said, we don't want to do something until you get yourself some type of help. Then I moved up to Downingtown with a brother of mine, and I started going to Coatesville, second VA hospital. And there they have a mental health facility there. And that's when they really began to tailor my problems. What is it? What are you dreaming about? Why is it? How frequently does it happen? And so as they began to peel back the onion, so to speak, the layers, and show me how to deal with it, they said, yeah, well, you do have ptsd. That's what it is. I'm thinking from what we heard about ptsd, it's somebody that's been in combat, you know, guerrilla warfare, and that's what ptsd is. So I had never identified with that. I didn't think it was. That was something severe. They said, no, there's different types of stages and different types of ptsd, post-traumatic stress traumas that you can get. And based on what you've gone through, you scale, you're severe. This is what you have. What they taught me was that when you have, first they come in and do an assessment. They record each incident, and they play it back, and they start peeling back things I didn't even remember, remembering dates, remembering names. They do it through such a systematic process. It works. But the veteran has to be willing to do his part. He's got to show up for his appointments or her appointments, and they've got to do what's being required of them because at the end, you don't see it right up front. There's so much gray mass going on. But as the rainbow begins to come out, you begin to see a change in your life. You begin to see how you feel comfortable around people, how you can begin to trust people again. You can take people for their word. If anyone knows how to see something through from beginning to end is a veteran. You learn that process from the day you're in a boot camp. And the day you graduated from boot camp and went into the MOS. So there's people out there that want to help you. There's excellent programs. But get the help that's needed. It's there for you. Get the help that you need that you may be able to give back to someone else.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/War veterans/vidm090.mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/War veterans/vidm090.wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/War veterans/vidm090.pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/War veterans/vidm090.pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nThe year was 1977. Paul Welch, a young sound engineer, lands a job with one of America's hottest bands, Leonard Skinner. Paul didn't know it, but within eight shows of landing the job, he would be in a swamp in Mississippi on one of the most famous rock and roll plane crashes of all time. Paul was lucky to survive. His doctors told him he probably would never walk. They thought he would never come out of his coma, but he did, he does, and he's here in our studio to tell his amazing account of that day. Paul's story has never been told before, so we hope it brings, perhaps, a fresh new light on a tragic day in 1977. This interview is being brought to you by AceProGuitars.com, known worldwide as the leader in high-quality guitars at unbeatable prices. AceProGuitars.com Well, thanks for coming by and giving us some of your time for the Nashville Facebook page. Very generous of you. You have a fascinating story. As I said in the intro, there are some fascinating things that have happened in the rock and roll history, but it's not many of us that can say they were... there. And you were actually there. Yes. Fortunately and unfortunately. Unfortunately because of the injuries I received, but in a way fortunately because the Leonard Skinner Band, like, I'm not... I don't see the new group terribly often, so I... and I don't mean this to disparage them, but the Leonard Skinner Group that I knew in 1970, 1977, they were the salt of the earth. They were some of the best people I've ever met. And despite the plane crash, I am pleased to have been associated with them in any way. Great people. Why don't we move forward in time. Let's go to the day of the takeoff. Let's go... You're on the tarmac. Yes. And there's apparently some trouble with the engine. Actually, let's back up. The fuel gauge apparently didn't work. Is that right? As I understand it, yes. The fuel gauge in the airplane was inoperative, and the way the pilots knew how much fuel was on board the plane was they would stick a stick down the wings and see how wet it got. I had a 74 Dart. I used to do that same thing. Well, this was... speaking of 74, this was a... I hear a 47, if memory serves. December of 1947, Convair 240. It was originally a passenger airliner? Yes, it was. And had been converted kind of into a cruise... And it was a propeller prop plane? Yes. Twin engine? Twin engine prop plane. About the size of a DC-3 or maybe... well, not everyone knows the airplanes. Imagine a Greyhound bus with wings. Right. The fuselage was around the size of a bus. So according to the wood stick in the tank, and they probably... somebody probably took a record of how much gas was being pumped into the plane. Yes. So according to the wood stick and that, they had some reasonable idea of how much fuel was in it, and it should have made the trip. Yes. So you show up at the airport, there's your plane. Yes. Anything unusual getting on the plane? Sort of. Well, not so much getting on, but once we were on board, we were sitting there in our seats, and the... the airplane was sealed, as it must be, but the ventilation or the air conditioning system doesn't work when it's on the ground. Right. And October 20th in South Carolina... Getting kind of hot on the plane. It was getting hot. And we were all a little uncomfortable. And of course there was no smoking while they were getting the fuel mixture ready for takeoff and, you know, fueling the plane and the like. And all of us nicotine addicts, and... and those who weren't, who were just dying of the heat, we were uncomfortable. And as I understand it, I don't recall how long it was, but I have been told it took us 45 minutes to get the fuel mixture right before the planes would take off. And where were you on the plane? Well, there... at the very front, you know, was the cockpit. Right. And, you know, behind that were the doors that we'd enter the plane. And there's some bench seats there, couches. Sort of, yeah. Well, when you first walk on the plane, there's kind of... there's a lavatory in the galley, bar area, whatever. And then you walk in, kind of a living room area with... That's where you were? No, I was not... I was not in the front part there. But just behind that, where rows of regular airplane seats started, I was in the first row of airplane seats. Nobody was... that I remember, no one was on the... that I remember, no one was on the... no one was on the window seat. I was on the aisle seat, the front left side of the plane. And this is... part of this is what I remember, and just snippets of pictures in my head. And part of it is, I'm judging by the chart that Alan Collins drew out for me in the hospital following the crash, as to where who was seated. And neither of us remembered anybody next to me, but there was me in and across the aisle. And you have a photograph of him there. Yes, of Alan in my room, yeah, trying to help me wake up. The... I was in a coma for about three weeks and four... three weeks and three or four days. It was almost a month. And the whole time I was in the coma, Alan was trying to help pull me out. And he'd come down to my room and say, then, come on, Paul, I need more monitor. I need to hear more Leon. Whatever it was, he'd be trying to just wake me up. So let's go back to the tarmac now. They're having a little trouble, I guess, with that plane adjusting the fuel mixture on one engine independently, at least. I believe that's how they had... I don't know enough about avionics. But I know that they were trying to get the fuel mixture right for takeoff. And we had had trouble with the starboard engine on the flight from Miami to Greenville, where I guess that engine had a bad magneto. And I think a magneto is like an alternator or generator, but somehow it's involved with fuel supply or fuel control. And to make that engine run, it had to be run really rich. And when they gave that much fuel to the engine, once they heated up, sometimes the fuel that was not being... I guess fuel was being sprayed from the carburetor or whatever onto the block and was then being, you know, catching on fire. And so the engine had had flames trailing from it intermittently, I guess, from Miami to Greenville. So when they saw that, why didn't they... I mean, if that happened today, they'd be landing it right there. They'd be landing it right away. What was... Well, apparently the... Oh, the engine's just on fire. We'll just keep going? Yeah. I guess it kind of did. I thought that engine would never catch on fire. Well, the plane was... The engine was still operating. It was just that some of the excess fuel was being blown out. It was igniting, right. It was being ignited. Well, they must have been running it really rich then. Yes. And I guess when that happened, they would then cut back the fuel to that engine, and it would run for a while. Sputter. Maybe it would feather, and they would put more back, and it would catch again. I don't really know, but... Do you remember seeing it on fire, looking out the window? Yes, I recall that. At what point in the trip did you first notice it catching on... Well, on the flight from Miami to Greenville, I recall it. And then I also recall that happening again on the fateful crash. So if I remember right, they were actually... They were actually at the end of this flight, this last one, they were going to vote on whether or not they were going to use that plane anymore, right? Yes. They knew it wasn't a good plane. Well, they knew it wasn't in the best shape, because Led Zeppelin had just gotten a jet. Right, they wanted a... And I think, as you mentioned, a little bit of pride. They wanted their own jet. Right. And they had, as I understand it, dispatched a road manager or some big hoodoo with Leonard Skinner, an organization, whatever, to get a jet for them, not the plane they had been using. And this is unsubstantiated. I don't know this to be a fact, but I have heard through the rumor mill that the company that owned the airplane with Leonard Skinner painted on it and the like, they needed the income from another tour that they were in from touring with Leonard Skinner. And... I've heard that. I've heard they went to extreme measures to make sure the airplane was chosen for one more trip and that the Leonard Skinner... They might have retired it earlier? Yeah. If it wasn't for that? And so that airplane was taken on another tour against the band's desires. And then when the engine caught on fire from Miami to Greenville, there were several in the band who just said, that's it, we're not taking this plane ever again. But they did. And in fact, some of them... I hear Cassie Gaines, at least, but I think there were others, bought commercial plane tickets to fly from Greenville to Baton Rouge. But... And apparently the company that owned the airplane could not afford to pay what the mechanics in Greenville wanted to fix the plane. And they also could not afford to fly their own mechanic to Greenville to have him work on the plane. Goodness gracious. However, since they were based in Dallas, and we were playing in Baton Rouge the next day, they would just have their mechanic meet us in Baton Rouge, he'd fix the plane there. And I guess the pilot and co-pilot knew that the plane was operational. It's scary when there's flames coming out of the engine, but apparently it was running well enough that they didn't feel that it would be a problem. I mean, they knew that by taking off they were betting their lives, and they obviously felt it would make it. You figure if the pilot's willing to do it, yeah. They must have felt it would have made it, and so the band... As I understand it, Ron is urging the band to decide, yeah, well, we can take it, but if they don't get it fixed there, we'll... we'll take steps and get another plane. So finally you get moving down the runway, and you get airborne. And the flight, just normal flight. Little bit of fire from the engine, but you're used to that by now. Well, actually, this and that started to take... I think the engine has to... the block has to heat up quite a bit before that'll happen. So what percentage of the way through the flight were you before you realized you were in trouble? Well... As I understand it, we got over the... or near the Macomb, Mississippi airport, which was large enough, had a runway long enough for the size plane we had, and had the right kind of fuel. And there was discussion about setting down and refueling and making sure everything was fine. But they decided not to because at that point we would be about, you know, 10 minutes flying time to Baton Rouge, and it'd take you just 40, 45 minutes, whatever it was, to get the fuel mixture ready for takeoff in Greenville. Why go through that again when surely we have enough fuel to make it? We took on five and a half, you know, hours. It's a three and a half hour flight. Surely we'd make it. But the rich fuel mixture meant they were consuming a lot more fuel. Pilots failed to calculate that. Yes. They failed to calculate how much extra we were using to make that engine run, I guess. And how much had been burned. And if it's true that they weren't able to adjust the fuel mixture, independently for each engine, then they would have been really sucking the fuel. That's right. Both engines had to, were being run rich. Yeah. And so they decided not to land. And we'd make, you know, the last 10 minutes would be no problem. Do you remember what you were doing when you realized, you know, something was wrong, the plane might be losing altitude? Well, it didn't. Everything was fine. Then the engines caught on fire. And like I said... Both or just the one? Just the starboard. And... It was a worse fire than you'd seen before? No. No? No. It was pretty much the same. I mean, it was disconcerting. Engines on fire again. Okay. Give me another beer. It was disconcerting, but it was, you know... Right. You were all used to it. We had made it from Miami to Greenville, and we only had 10 minutes flying time. Surely we'd make it, you know. I mean, we were all optimistic, I'm sure. And I don't have any memory after when the engine caught on fire. Any direct personal memory. What I hear happened from other survivors, they said shortly after that, the co-pilot came back and said, Sit down, buck your seat belts, put your head between your knees, and don't move till we stop. We're making an emergency crash landing on the highway or a field next to it. The driver of that truck checked in if\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Plane Crash/Lynyrd Skynyrd plane crash survivor Paul Welch talks with NFBC News. [DTrf9greVqg].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Plane Crash/Lynyrd Skynyrd plane crash survivor Paul Welch talks with NFBC News. [DTrf9greVqg].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Plane Crash/Lynyrd Skynyrd plane crash survivor Paul Welch talks with NFBC News. [DTrf9greVqg].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Plane Crash/Lynyrd Skynyrd plane crash survivor Paul Welch talks with NFBC News. [DTrf9greVqg].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nI got onto the left hand wing clambering over that door lip and then I stood onto the wing and was able to stand on the wing momentarily. I jumped I would estimate at a height of about 15, 1.5 feet. I can remember going to Luton Airport back in the day and I was just a kid and you could get quite close to the activity. You'd hear the pilots kind of doing the engine tests and throttling down the runway down that centre line and the noise, the smell of the kerosene coming off the back of the aircraft. The desire to perhaps learn to fly myself one day was perhaps born during that time. I'd been with an instructor for about three weeks duration. I had a couple of different instructors during that time and everything was going very well. Then I'd been solo for around about eight days. It was one of those bluebird days. The sun was shining down on me, birds in the trees kind of twittering and I was just thinking about what was coming ahead. As far as I was concerned it was just another day solo and I was kind of hour building, building up my experience and then I would have been coming back to the UK sort of job done, sort of tick in the box and that ambition complete as it were. Nice and calm, nice and gentle. Hand on the stick and then I go full throttle and I'm starting to take off and I'm starting to head higher and then once I get to a thousand feet I can pull back gently on the throttle and sort of level off. So the aircraft sort of goes from climbing to sort of landing. I'm getting a bit of a tanning here, I'm getting a bit of a tanning here, I'm getting a bit of a tanning on thedamn stairs. It's very light. One of the tricks I take in the summer is kind of the take on the dollar anticipating right.停 ad Euro stream and then that's and it was a thin streak and it was emanating from the front portion of the fuselage. And I looked down at my feet on the rudder pedals. I could see flame starting to lap around the feet and the ankles inside the chamber of the small two-seater cockpit that I'm sat in. And I thought immediately, Christ, this is no drill. This is for real. This is an emergency. And I've got to get this aircraft down. And I immediately felt the heart sort of boom, boom, boom within my chest. You know, there I was at 1,000 feet with nowhere to go. Where am I going to go? You can't jump from that height. People have asked me, you know, did you not have a parachute? Well, you don't wear a parachute in a light aircraft. I was under no illusion if I didn't get out of that burning cockpit quickly that the likelihood was I wasn't going to make it. I was going to be a goner. And that fire would have certainly overwhelmed me and I wouldn't have, you know, lived to tell the tale. The only option I foresaw was indeed to try to get out of that cockpit early. But I needed to get her, the aircraft that was, to a safe level in order to have any, you know, chance of pulling that off cleanly and make it happen. My mind then flicked back to one of the U.S. instructors. And I can distinctly remember it. And he said, and I quote, Above all, if there is an emergency, and you've got a problem, fly the damn aircraft. And these words kind of echoed and reverberated in my memory. And I thought, I've got to hold on. I've got to get a grip here. And I've got to do exactly that. So I kept my left hand on the flight control stick and my right hand on the throttle. And I carefully just knocked off that power on the throttle to try to reduce airspeed. And I needed to reduce that significantly. In order to get myself to a relatively safe speed approaching the active runway. All the time I'm watching the altimeter spin down. So through 900 feet, 800 feet, 700 feet, 600 feet. And I've got that left hand on control, right hand on the throttle. And I'm trying to breathe and I'm trying to think through it. And I'm just trying to really calm it all down as much as possible. When I flew over the top of the active runway, I was literally 100 feet, 50 feet by the time. I'd cleared it. I turn off the key. Magneto's alpha bravo, the red switch is off. In the center column, fuel pump off. Rotate fuel selector valve through 90 degrees off. Everything off, off, off in sequence. At the lower reaches from 50 feet and below, the fire was literally lapping my face. That hand on the control stick, the right hand on the throttle. And I was literally in a vain bid, if you will, to protect my airway from flame ingress. I then opened my left hand canopy door. I can remember reaching across, fiddling with the handle. I then had to elbow it with my left elbow and punch it and strike it with the heel of my hand. And I'm now 50 feet, 40 feet, 30 feet, 20 feet. All the time looking, checking, looking. And at 20 feet, I got onto the left hand. I was able to stand on the wing, clambering over that door lip. And then I stood onto the wing. I was able to stand on the wing momentarily. But I had the backwash of the prop, which is why I have this really aggressive sort of right side dominant burn. And that affected my scalp, as you can see, my right shoulder, down the right hand side of my lower limb. My left side was significantly protected. And that was burned, but it's indeed a lot healthier. And so I jumped, I would estimate, at a height of about 15, 1.5 feet. In reality, I was probably traversing at about perhaps 30 knots through the airspace in that height, 15 feet. So it was a tremendously hard impact. Even though I landed feet first, I then thrust forward. I smashed my face on the sharp Florida razor grass below. And I remember my right shoulder was still on fire, so I aggressively had to pat it out. And my right scalp, I could sense it was still on fire, so I patted it out. The aircraft carried on on a very low and shallow trajectory without me. And I watched her crash land. There was this ugly, crumpling, crashing noise. And extremely loud and very scary. And all of a sudden, boom, an almighty explosion. I felt the shock of the explosion, the energy come through me and back again. And that's something that I've never seen before. And that's something that I've never seen before. And that's something that I've never seen before. I sucked out all of the air that I had within the lung. And the heat in the inferno was indescribable. It was intense. And it was at that moment when the pain hit me for the very first time. And the only way I can describe that, it was like a tsunami of pain that washed over me from head to toe. Every aspect of nerve and sinew was struck by this pain. And I just cannot describe the intensity of that. I had facial fractures. So I inadvertently ruptured my nose bone. I had bilateral, superorbital eye socket fractures on both sides from the impact. Also, the force from the jump and the landing travelled through my torso area. Little did I realise that I'd ruptured my large intestine, so the colon, and I'd also lacerated my liver internally, which was now hemorrhaging and bleeding very profusely internally. I was 63. I had 63% third-degree burns, and that came to light later on with the medical diagnosis. I'm starting to grow colder and weaker with every second that was passing. So I then decided that it wasn't going to be long, that I didn't have long to go to survive here. So I then took my shoes and socks off. I'm not even sure... what the reason for that was. I just figured in my rationale that this was clearly one journey that I didn't need my shoes and socks for. Typical soldier, you know, I wanted that order right to the very end. And I lay the shoes and socks on the right-hand side, and I just put them neatly by the side of me. And I held on, and I don't know how I did it. All I can suggest is that I was a young man at the time. You know, I was just turned 32 years of age, and I was as fit as a butcher's dog by virtue of what I did for a living, you know, with the forces. And I kept myself in great shape. And so I guess I had that fighting edge. But I still didn't have long. And I waited. And then I heard the sirens. It was like, woo, woo, woo, woo, woo. And then the truth is, I don't remember anything for, realistically, the next six months of my life. The doctors in Orlando gave me about 5% probability of survival, which is extremely slim odds. Even though they placed me in drug-induced coma, I was in the fight of my life. I mean, this was Jamie Hull, you know, World War III. To give you an indication, thankfully, because of the insurance that I was backed up by, the bill in America came to some US$2.6 million. And that was only for around about a four-month period. I had 62 operations under James. Both with chemo and pre-diagnostics. Both with a Snaf precisely forreek. Smithcom andtrl x Поrestukl Евrop Risk For Clear Reg타� With Antary Heal Plus Epidermal osobigo Ap legislators Effort Related to the Facility Sc demographics Standardoney First It was very important for me to get back in the air somehow and to fulfil that ambition all over again and to keep going. I did fortunately win a scholarship to learn to fly a hot air balloon and I did my training in Italy. It gave me that real sense of freedom. Admittedly, you know, what I do with a balloon from time to time is a lot more sedate. But then I guess the new version of Jamie Hull is a lot more sedate. You know, I'm not that high speed guy that I once was. And so it's probably quite fitting really.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Plane Crash/How To Survive A Plane Crash _ Minutes With _ UNILAD _ @LADbible TV [Z5lcOMvAvIc].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Plane Crash/How To Survive A Plane Crash _ Minutes With _ UNILAD _ @LADbible TV [Z5lcOMvAvIc].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Plane Crash/How To Survive A Plane Crash _ Minutes With _ UNILAD _ @LADbible TV [Z5lcOMvAvIc].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Plane Crash/How To Survive A Plane Crash _ Minutes With _ UNILAD _ @LADbible TV [Z5lcOMvAvIc].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMake sure that the weather conditions are the way you need it. Just take it up another notch. I didn't make a mistake. I didn't do anything wrong. None of us did. All we did as a crew was to try to mitigate one of the worst situations that have ever happened to an airplane. Just trying to make it survivable. How much did it feel if you were to be the cause? I had compression fractures in the lower back. I had broken ribs punctured inside my right lung cavity. I had internal bleeding, massive movement of organs. My left shoulder was dislocated. My arm broke. The nerve that goes from the brain to my right hand was severed, so I effectively lost my right hand. My hand cut open and lost the tendons in my fingers. Teeth broken and cracked, facial lacerations, chunks of meat taken out of me here and there. That's basically it. My body's broken, and I'm in hospitals, I'm in surgeries, and I can't fly, and my hand doesn't work. God, am I ever going to get there? Is it ever going to happen? You know, finding a doctor to do this miracle surgery I need on my right arm. Where am I going to find this guy? Who is he? Can they do it? Can I make my hand work? Can I make my hands work well enough to fly again? You really wanted to fly again. Desperately. My doctors never believed that I ever make it back to the cockpit. I did believe. Every time they'd see me, they'd say, How you doing, Denny? And I'd say, I'm super. Doc, I'm one day closer. I'm one day closer. I knew that if I did one day, one day, one day, one day, it was going to be the right day, and I'd be there. They didn't have the nerves to tell me. They didn't have the heart to tell me that, no, you're not. I did not want, desperately did not want that to be my last landing, not to go out that way. And I fought with everything in my heart and my soul to get back. It's as though God looked at that airplane and said I want you, you, not you, you, not you, you. It was so salt and pepper. Right after the accident, a lady walked up to me and stuck her finger in my chest and said, you killed my daughter. You killed my daughter. And I agreed with her. I thought that I should be dead so that she could be alive. A nine-year-old had every right to be alive. I had a life already. About four years later, I was asked to speak to a group of general aviation pilots in the Chicagoland area. The host asked me if it'd be all right if one of the accident victims were in the audience. And I said, with great hesitation, yes, it'd be okay. I was chancing this again, risking again, to have that happen all over. And I met her. And she's in a wheelchair. And if you had to pick a grandmother you'd want for your own, you'd pick her. She's a wonderful lady. And I bent over and I held her among all these male pilots and I just hugged her. And in my ear I heard her say, Captain, I am so glad to meet you. You are my hero. I knew her husband died next to her. And I said, Doris, I am so glad to meet you as well. And I am so sorry that I could not save your husband. And she pushed me back gently and she said, Bull, can you hear me? Captain let it go. God wanted him. I needed permission from somebody who shared the experience, who suffered the loss, to go on. What could I have done differently? How could I have made this more successful? How could I have made it totally survivable? How could I have flown that airplane differently? Looking back on it, what would you do differently? You know, beating yourself up going back there. And you beat yourself and it's necessary. You've got to flagellate your body. You've got to beat yourself up. You have to go back. And find the answer. If I did this, would this have made a difference? If I did this, if I had put more power on, did less thing here, if I knew how close I was, you know, there's just a million ifs. And I've reflown that approach a million times in my mind in search of better answers. And the conclusion was I don't think I could have done a thing different. . The 727 was a 727, which is a shorter walk and less work. And I love the 727. I flew it for 9,000 hours and flew all three seats in it. But for some reason I walked the additional distance and got on 232, the DC-10. Why? That's the question I'll never know. It was to be. You pick a term and it makes you comfortable. Fate, chance, or luck. I had choices. I could have gone left and I could have gone right. I took the path to the left. And that was the one that took me to the DC-10. I have no idea why. You think about life, you think about what's important. You think about why you lived. If that could happen like that, where do you want to be when it does, if it does? I guarantee you that if you ever find a moment in time where you think your end is near, you will think of the people you love and you will ask the question, where am I? And I hope you have a good answer. April 15th, 1990. I was in a DC-10 in the captain's seat pushing back for the Honolulu. And the cabin announcement in the back is, today in command of your flight is Captain Denny Fitch. They didn't believe, but I did. We're taxiing out to the runway and the tower called us and said, if you can be ready when you get to the other runway, we have a slot, we can get you out right away. And it just like a switch went off inside. Boom. Start the engine, you do this, bang, bang, bang, bang. We turned the corner. Before I knew it, I was pushing up the power and roaring down the runway. We shoot it over the gap, we're out over the Pacific Ocean. It all happened so fast. After we passed the point out over the water, I was climbing and things had settled down. And I realized that, oh dear God, I'm back. I'm back. I turned my head away so as not to see me cry, but I just looked heavenward and said, thanks. Thanks for letting me come back. I love what I do. I love it. I was meant to do it. I was built for it. And it's just been a true happy. I've never gone to work. I've only gone to fly. I love amazement. And now you're going to see an amazing shot of me up here in the sky.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Plane Crash/air crash investigation United Airlines 232 (part6) [4znGqoM9mHg].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Plane Crash/air crash investigation United Airlines 232 (part6) [4znGqoM9mHg].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Plane Crash/air crash investigation United Airlines 232 (part6) [4znGqoM9mHg].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Plane Crash/air crash investigation United Airlines 232 (part6) [4znGqoM9mHg].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nMy name is Anthony Padilla and today I'm going to be sitting down with plane crash survivors to learn what it's really like to live through such a harrowing and torturous experience. Were these plane crash survivors able to emerge from this horrifying experience completely unscathed with a newfound drive and appreciation for life or do they live every day deeply scarred by the memories ingrained within them after surviving such a traumatic and unthinkable nightmare? Hello Wendy. Hi Anthony. Annette. Hello, how are you? Can you give us some backstory leading up to the plane ride itself? In 1992 with my fiance in Vietnam he had planned this very romantic vacation on the South China Sea. We left at 7 a.m. I see that plane and I say no there's no way I can do that. I'm like oh my god I'm gonna die. I'm gonna go in there. Is it like a tiny plane? So small and I am claustrophobic. So he said yeah I know but please do it for us and it's only 20 minutes you can do it. We're going to this most romantic place. I've booked everything. Please please try. Okay. I sat next to him, the third row, 31 people on board. I could almost hit the ceiling with my head so I did not put on my seat belt. Then took off and looked at this watch. I was counting the minutes. This was the only thing I was doing and then 20 minutes I said all right okay let's not happening and then we just kept on flying. I was like oh my god I'm so excited. I'm so excited. I'm so excited. I'm so excited. I'm dying. He said well I knew I had to tell you I had to get you into the plane but it is actually 50 or 60 minutes. 50th minute you make a giant, a rather large drop. People were screaming already and I said well a shitty little plane like that will fill if you have an air pump. Of course. So don't worry. Don't worry. So then I softened up and said don't be afraid. Really you were comforting him at that point. Of course because the end was near at that point so I was already getting relieved. I was almost there. Then another drop. People really screaming loud. Accelerating engines again. Another drop. He looks at me really scared. I look at him. He reached for my hand. I reached for his. Everything goes black. August 2nd, 1985. I had been flying for six months for Delta Airlines. Left Fort Lauderdale and we were headed to Dallas. We took off no problem. We had a little turbulence going into Dallas. We were landing and it was starting to get rough. It was a bad thunderstorm. Did you start to get nervous at all about the turbulence? We were going side to side and then there were drops. Right? You know that drop. Yeah. Our perception because of TV movies is people are going to be like, ah! It wasn't like that at all. People were very quiet. It's almost like people are holding their breath rather than letting it out. Now we're on airport property and we hit a big water tower and that caused the plane to explode. Oh, man. The part of the plane that I was on, where the survivors were, basically sheared off from the rest of the plane, but that's because the rest of the plane exploded. Were the pilots saying anything? Was there any kind of indication before it just kind of went black? Was there any indication that something was very wrong? No, not at all. It came out of nowhere. I didn't see storms of rain and of course all this. The plane was completely off track. Then what happened is we bumped into a mountain. The plane lost one wing, accelerated into the next mountain, where it went upside down and the cockpit broke off. Then next I know I wake up in the midst of chaos, pieces of plane and I saw the vegetation of the jungle. Oh. Of course, you think, where the am I of course. Yeah. That's how you feel. When we hit that water tower and the plane exploded, I saw a fireball coming down the aisle at me. So that's when I closed my eyes because I thought, if I'm going to burn to death, I didn't want to know. So you see just a wall of fire inching up toward you. Not even inching. It just felt like it was coming at warp speed. And then stopped. Felt like being in Space Mountain and Disney World because you could hear the metal. You could feel things kind of twisting. You could feel the heat coming at you. And then it stopped. There was something heavy on top of me. And I pushed it away. It was a chair with a dead man in it, as it turned out. And then I looked at my left. And then I saw my fiance still strapped in this chair. And he was dead. Oh, my god. So did you get to mourn in that moment? Or were you just in survival mode? No, I must have gone into shock. Because the next memory is outside, on the jungle floor. I'm sitting on a thousand twigs and all this vegetation. There was a wing of a plane and chairs. I had 12 fractures in my hips, two in my knee, and a collapsed lung. But I was sitting there. And I looked down. And I see this giant gaping wound on my shin. And I saw the bone, the blue bone sticking out and a big, big gaping hole in my knee. Of course, what happened is that I was not wearing my seat belt. I was going like a lonely piece in a room. I was sitting there. I was like a lonely piece in a dryer. Yeah. And then I landed underneath this chair of this other person. You have a lot of adrenaline, of course, going through your body. And the pain is somewhat muted. But what I was more focusing on was him. Because there was a gentleman sitting next to me, a Vietnamese, who spoke English even. He's strapped in his seat. He's alive. He's alive. But at one point, I saw him getting weaker. And I was like, oh my god. I asked him, please, please don't die. Don't leave me alone. Let's go get some water. Or let's just go look in the plane. Let's do something. Was he the only other person that was alive at that moment? Yeah, getting silent during the first day. And I think he died in the end of the first day. But at that moment when he died, I never had been so entirely alone. So then I calmed myself down. And then I just said, OK, you are here. You're screwed. But this is it. This is it. This is your reality. You have to accept this. One of the things you're supposed to say, which I did, was release your seat belts. Get up. Get up. For lack of a better term, you just went into autopilot and said the things that you were supposed to say to help people survive. And then I was thinking, I need to get out. The last row of seats in the airplane, I used the headrest as more like a railing. And then went out the side of the plane. And there was a lady face down in the mud because it was raining, right? Bad weather. And so one of the things that we're trained to do as well is to shake and shout, are you all right? Are you all right? That's what you're supposed to say. The thing about the training is when we were in training, nobody ever said no. But that day, that woman said no. And 23-year-old selfish self-centered me, I didn't know what to do. Did the safety demonstration that you gave at the beginning of the flight help in anyone's survival? I don't think that what I said made a difference for anybody in the cabin. I believe it helped me to have a plan. I did not let my mind go in what if scenario. But then I looked at the right, and then I saw maggots coming out of his eyes. And then I thought, this is the moment I really have to move away from him. And then I was going to make a fire with that lighter, but it was, everything was wet. Was it constantly raining? Or was it just kind of so much moisture in the air? Just before it got dark, it rained a little bit. I could stick out my tongue because I was so thirsty. So thirsty. Yeah. And I settled down next to the wing of the plane. And there I have an open view. So I figured out maybe if they fly over here, they can see me. That was one. And then I was laying there, and I looked at the wing of the plane that had broken off. The insulation material was made of some kind of foam crept into that laser material. And then I made seven little balls out of that foam. And then it rained, and I saw all my little balls suck up the water. And then I gave myself every hour or so, and I was like, oh, we can make it. So at first, it seemed like it was a detriment to you that it was so rainy because you couldn't create fires. You couldn't create smoke signals. But then you were able to utilize that rain and survive. Yeah. It works. I went back toward the crash site, which has its disadvantages, of course, of seeing people who didn't survive, people who died. And then looking for me, I was looking for the crew. I was looking for my people. Eventually, flight attendant, and then she and I were placed in an ambulance. And she was going like this and pulling at her hair. And she said, is your hair doing that? I was going like this. I'm like, I don't know. And it wasn't. Her hair had been singed. She had been so close to the fire and she had been burned in her hair. The next day, it felt like I'd been hit by a Mack truck. I didn't have any physical injuries other than just the impact of an airplane crash. No burns. Completely unscathed. I mean, physically. I was going to say not mentally. Mentally, I'm sure it's taking a huge toll. Sadly, the scars that you can't see are those that I carry. You have to leave your mind out because your mind makes up stories. Stay open and listen to your instinct. And that's what I did. Eventually, of course, by day six, I'm really, I'm dying. Then 20 yards away from me, I see a man staring at me. And I just, I have to shake with my altered state of mind. Start screaming. And then first in English, and then in French, and then in German, and then in English. And then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, and then in English, but he was just staring, staring at me like I would move a finger. He was just standing there. And then he left. So then I go back to sleep. And then the next day I woke up and there he is again. And then he disappeared again. By the end of the next day, eight or 10 men coming up, up the mountain, they carry bags and they come up to me. And one of them shows me the passenger list. And that's my name. He gives me a sip of water. I will never, ever, ever forget the taste of that. That's no worse for that. Champagne doesn't cut it. No. Better than champagne. They put me on a canvas and they bind it on a stick. And then they carried me out the jungle between the two of them, like a little piggy. You're a little rotisserie. It was only in half an hour or so, because then it was already pitch dark. And then they set up a tent for them to sleep in. And they put me on two sticks. Whoa. They just set up a little mobile hammock for you. Then they took me to, a hospital in Ho Chi Minh City. Then they did some machining to blow up my lung. The moment I saw my mother, I almost died. Why? Because your heart was just going through the roof? I surrendered. That's it. I didn't have to be tough anymore. How many people were on that flight and how many survived? There were 163 passengers and only 27 survivors. So you must have seen more people that did not survive on your way out. There were three crew, only three flight attendants who survived. And everybody else perished. During those eight days, do you know if the news was reporting on you or if the plane was reported as missing? Everywhere. The whole newspaper, International and of course in the Netherlands. Every day. Every day, my face was this big on the TV and then the families, they put away the ads in the newspapers. Like we had died. So there were already obituaries out there for you. Yeah, because it's absurd. Like it's only good stuff. If you want something for your self esteem, you should read your own obituaries. Yeah. If you want something for your self esteem, you should read your own obituaries. You got to know how people wanted to memorialize you. Yes, yes. I wanted to go back to Vietnam because I wanted to write this book and see if everything was the way I saw it. So then I went back in 2006. Then they did arrange a crew that would take me up to the mountain. And then we are on top of the mountain. And then I saw the sun. I saw this man sitting on the stone exactly in the same manner as the orange man. Go, come down my spot. And I woke up to him. It's you. And then he was embarrassed. He said, yeah. So at the time, he had never seen a white person before and never seen blue eyes. Somewhere in this tirade of for me getting his attention, I had taken off my hood. And then when he realized that I was somewhat human, and that's when he decided to go and fetch his friends. At first, he was staring in disbelief, almost like he was seeing some kind of ghost or spirit of some sort that had come out of this crash. And then when you revealed your head, your hair, he saw that you were in fact a person he should go tell someone. So I said, okay, I thought you thought I was a ghost. I thought you were a ghost for all those 30 years in between. It was in the middle of nowhere. It's just amazing that he found me. Then I found out day six when the orange man ran down to tell an helicopter took off with eight doctors and nurses on board. And it crashed. Wow. A rescue mission had went out. Yeah. And do you hold on to any kind of guilt? For that, knowing that more people died while looking for any survivors? That's real guilt. But then I went back, I read 2014, and there was this woman who actually gave me a speech that she was not anger with me at all, that actually seeing me reminded her of her husband. In a way, by me being there and by me writing my book, I kept their relatives alive. What do you think was the most difficult part about surviving after the crash? Dealing with basically, why me? Why did I get to live? I think there were so many other more worthy people on that plane, right? Because I was a selfish, self-centered brat that walked onto that plane. Look at who you are today. You can't judge your life based on who you were at one given moment. I have tried, endeavored to live a life that would be worth somebody saying, well, I'm glad she lived. But then about six months after that, I had a breakdown. Really? It all came to the surface. You weren't able to suppress it anymore? It did. No, I wasn't fine. I was fine until I wasn't fine. Do you have a fear of flying now? Yes, but I do it scared. Life is way too short. Do you feel like you're facing your fear each time you step foot on a plane? I do. But, you know, it finally dawned on me one time. I was like, all right, well, what's the worst that could happen? Well, I could die. But I know where I'm going today, so I'm not scared. I'm still not happy to fly. But it's again, it's more the claustrophobia more than anything. It's just the idea of getting stuck. If you could erase your experience or your memory of this plane crash happening at all, would you? Now, see, for me, it's such a dual question, because then my fiance would not have died. You see, that's still always the first thing that I just that he died. And this life cannot be without pain. So you can't really get caught up in the if that didn't happen, then this would have happened. And then I could do like there's almost no point to getting trapped into that thought cycle. I just stay in what's real. I mean, what's real is it's it's stranger than fiction. Definitely my case. But it's just what's real. I mean, what if scenarios don't don't bring you anything? If there's anyone watching who has a fear of flying themselves, is there anything you want to say to them? My fears mainly are being not in control when I realize that really ultimately I'm not. And that life is too short and that I really want to go places and be with people. And so the benefits outweigh all the negative aspects to you. I think so. I think so. Except for that middle seat. Right. Not worth it. If you got to sit in the middle, should we really go back to having the middle seat? I think if COVID taught us one thing, it's no middle seats. I'm just saying. Has your perception of life and death changed after surviving this experience? Before we continue learning about the world and driving a plane crash, it felt almost orgasmic. More than almost like completely all consuming. I'd like to thank Honey for their continued support and sponsoring this series. Honey is the free browser extension that scours the Internet for promo codes and applies the best one it finds to your cart. So you no longer have to stare at that empty discount code box at checkout. Because if Honey finds a working coupon, a little Honey button drops down and all you have to do is click Apply Coupon. And Honey supports over 30,000 stores online, ranging from tech to popular fashion brands and food delivery. So you're covered. Honey has personally saved me an embarrassing amount of money with most of my online purchases, including the lunch that I had today. Thank you, technology. Thank you, Internet. Thank you, laziness. Honey is literally free and installs in just a few seconds. So if you want to do yourself a solid and also support this series, get Honey for free at joinhoney.com. Again, it's free. And if you go to joinhoney.com, you'll be directly supporting this series. But before we learn more about these incredible survivor stories, I'd also like to thank our sponsor, BetterHelp, for our continued partnership. I've been outspoken about how therapy has been really helpful for me, but therapy can be customized to whatever is right for you and can be really helpful in providing tools to help with motivation or feelings of depression, anxiety, stress, insecurity, or whatever else you might need. BetterHelp has been continuing to improve throughout the years and screens all therapists and ensures they have experience and are certified and licensed and provides customized online therapy that offers video, phone, and even live chat sessions with your licensed therapist. So you don't have to worry about getting a call from your therapist. You don't have to even see anyone on camera or speak over the phone if that's not something that you're comfortable with. Therapy can be expensive and the price of finding a therapist you like and really click with can really start to get overwhelming, which is why BetterHelp offers a more affordable alternative to in-person therapy where you can start communicating with your licensed therapist in less than 48 hours. So thanks again to BetterHelp who are giving I Spend a Day with viewers and listeners 10% off their first month at betterhelp.com. That's betterhelp.com. Now back to the world of surviving a plane crash. I had a beautiful unity experience. I don't know how, but I really did stay every moment in the moment. It was just beautiful. It was love. It was just love for my family at first and love and plus first mind over matter to really focus on this beauty of this jungle. But then it became heart over mind and I became the jungle and I became one with the jungle and I became it was really unity experience. I described it, you know what the French say, but the team or I don't know what that means. That's orgasm in French. I like that. And I say that the big that feels like the little one. I mean, maybe it's different for girls, but it just does. It felt almost orgasmic in that moment. Well more than almost like completely all-consuming. Wow. It was just beautiful. It was beautiful. All right, you got five seconds to shout out or promote anything you want directly in the camera. Go shout out to Kendall metal photo and Hadley book list and late in for itself. Check out my website. If you want me to come speak to your group. I survived the jungle by observing as opposed to judging. So I think non-judgment can can save your life. What I do like about Anthony Padilla is that he shines the light on other people than the standard and therefore makes them standard. Thank you. I really appreciate that after spending the day with these plane crash survivors. I've come to understand just how much strength and resilience is required to come out of the other side. Of an experience like this. Well, it's certainly important to be prepared and cautious of situations. Life might throw our way. It's just as important to value each and every passing moment without the grips of fear and anxiety taking control of our entire psyche. It was also back then. This is how long ago it was the smoking section. Oh, yeah. I've heard about that in ancient Folklore right? Some Folklore. Right after we had to outrun the dinosaurs. I found that people that were in the smoking section were a lot easier to please than some of the other passengers on the plane. Because they're just high on fumes. Well, they were smoking and happy. They had nicotine fix. It's not to look.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Plane Crash/I spent a day with PLANE CRASH SURVIVORS [72QpEUQ-Cz0].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Plane Crash/I spent a day with PLANE CRASH SURVIVORS [72QpEUQ-Cz0].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Plane Crash/I spent a day with PLANE CRASH SURVIVORS [72QpEUQ-Cz0].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Plane Crash/I spent a day with PLANE CRASH SURVIVORS [72QpEUQ-Cz0].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "<video>\n<audio>\nThe evening was still striking, the hail was falling, I was still dying. Julia and the other survivors were eventually rescued. But in the aftermath of the crash, she struggled to find answers in religion. If there is a God, and if that God is all-knowing, they must know that we're in pain. And if that God is all-powerful, why would they let it happen? I just couldn't imagine a God with a plan that involved young girls dying in plane crashes while their parents survived. In the years after the crash, Julia battled acute emotional and psychological trauma. I felt like I was losing my mind. My world had just been completely destroyed. I went crazy. And the trauma was... The trauma was so intense that my brain wasn't functioning anymore the way it used to. One of the things I lost in the burning plane was happy. I was at the worst depths of despair and mental problems and incapacity to have relationships. I was scared of things. Nothing felt safe to me. I thought the crash might still kill me. That's how imminent the danger seemed for many years. Julia had her doubts about religion. But one day, she met a Buddhist teacher who had himself been in a plane that had almost crashed. There was this amazing connection where I realized this man knows. He described the difficulties that he went through. And then he talked about how he overcame it. And I realized... I realized that he may very well have the answer. Julia began a course of meditation and found with it the beginnings of recovery. Spirituality is all about infusing meaning into life. And trauma, almost inevitably, is about a senseless, terrifying event. How do I make sense of this in the context of my life as a whole? I feel like I've made amazing progress about how to train the mind so that you are controlling your experience instead of being a victim of your experience. Less than a year after I started studying, I walked onto an airplane with no drugs, no alcohol, and flew without fear. So I know it works. Julia is one of the survivors who found happy out of the wreckage of a plane crash. Their stories are inspirational. And Valley Collins is just beginning that journey. Right now, it's still a scary thing. It's still a stressful event. You know, it's still a traumatic memory. And I hope I'll look back, you know, five or ten years from now, and I will see, hopefully, a lot of positives that come out of being a passenger on 1549. Valley draws inspiration from the tiny group of plane crash survivors who share her experience and know recovery is possible. The other three people that survived, it's amazing. There's like an unspoken bond that we share. And everybody has moved on in their own way. But I think it's a bond and it's a memory that we'll never be able to forget or erase. Having people to share the experience is vital to the recovery of a plane crash survivor. It's a moment in time that can't be brought to anybody else except those they chaired it. There's a tremendous degree of strength that comes from periodically gathering together with other survivors who've been through the same thing. We made it. And we wrote it out together. If somebody goes through something and they're the only one, the sole survivor, boy, I don't know how they deal with that. You've got somebody with you that went through that with you. And that's important. Together, these survivors now view the crash not as a tragedy, but a turning point, a springboard toward a better life. And one of the greatest things that's come out is meeting my husband because I was in such a fast pace that I don't know that I would have taken the time to meet him if I hadn't experienced the plane crash, getting married. Having two children. And you really do appreciate things. After that exit, you're never sure tomorrow's coming. So you never leave anybody that you love without telling them that you love them. You hug them, you kiss them, you talk to them all the time. They've been through nightmares that many people have trouble even imagining. And if you've been through that and made it to the other side, then you're in a wonderful position, not just to survive, but to thrive and excel. To me, life was always a rainbow. I saw colors. After the accident, instead of seeing just the simple colors, I see the hues in between the bands now. I've taken it up to a higher level. Mercedes Ramirez Johnson is now happily married and lives with her husband and four children in Dallas, Texas. People always have a choice. You can either wallow in the pain or you can use that pain to give you that motivation that much more to find real happy. Julia Fergenchik has recently completed a 10,000-mile motorbike trip across 17 states, something she would never have had the strength to try before her recovery from the crash. I'm still grateful for it because I don't know how else I could have learned those kind of lessons. It's been a... a very powerful, motivating factor in my life that I don't know another kind of event or circumstance that could have done that. Let's pray. Dear Heavenly Father, thank you so much for today. Kelly Duncan Moore continues working her dream job, teaching Bible classes to children in Miami. I can actually look back and say I wouldn't trade a thing. I feel like being in the plane crash saved my life because I feel like I had a second chance at life.\nAbove is a video along with the transcript of a patient undergoing clinical evaluation. Based on the patient's expression and behavior throughout the video, what is the diagnosis? Answer with one word from the following:\nptsd\nno ptsd", "answer": "ptsd", "images": [], "videos": ["ptsd_dataset/validation/PTSD/Plane Crash/Out of the Wreckage - Plane Crash Survivors part 5 [QktwWaBFZmo].mp4"], "dataset": "ptsd_in_the_wild", "audios": ["ptsd_dataset/validation/PTSD/Plane Crash/Out of the Wreckage - Plane Crash Survivors part 5 [QktwWaBFZmo].wav"], "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/ptsd_dataset/validation/PTSD/Plane Crash/Out of the Wreckage - Plane Crash Survivors part 5 [QktwWaBFZmo].pt"], "ext_audio_feats": ["opensmile/ptsd_dataset/validation/PTSD/Plane Crash/Out of the Wreckage - Plane Crash Survivors part 5 [QktwWaBFZmo].pt"], "task": "ptsd_cls", "class_label": "ptsd"}
{"problem": "就是想着自己要中考了，然后自己需要把成绩搞上去考上个好的高中吧。然后就想说这些东西可能就是我们其实到都有这些东西，可能在我们成长上面没有什么特别大的意义。我觉得虽然说也不能说没有意义，但是我觉得最重要的还是中考，反正自己如果到时候如果自己努力学习，能把成绩搞上去又很开心。 学习压力太大了，个人的交友上面有点问题吧，就是学习压力太大了。 可能就是因为有些人际交往上的内容有点太过于那个了吧。然后学习压力大，背书有点学习，学压力很大吧，然后就是人际交往上面有点困难，是不是这么样子，可能有点不好。 听歌来缓解，然后就是想点别的事情吧，转移注意力。 基本就是写完作业之后，刷回手机就这么过去了。然后我觉得最有趣的就是意义中的是有一每次回去能快速的把作业写完，然后跟我哥打电话聊聊心，聊聊天，然后就是还有跟以前一个好朋友一直聊天吧，聊了很久可以每天都有好朋友聊天，然后就是还可以有的玩，有的吃，挺有意，有一次有挺有意义的。 不清楚哦，我不知道有没有，反正不清楚不清楚。 听歌吧，然后玩玩手机，看看手机打打球。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_5/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "平静。 有两个就是我们经常一起玩，然后经常一起迟到，然后但是挺开心的。 聊天聊天。 没有秘诀。 找人倾诉。 就是嗯呃正常上课，正常上课，正常写作业，就是晚讯说挺累的。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_7/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "因为我有梦想啊，为了完成那个梦想，我就一直都在努力。 还有我周末一般都会和我家里面的小猫一起玩呢，帮父母干点事情，然后呢叫我弟弟做作业什么的，有时候周末还会带我出去吃好吃的呢嗯。 我如果我遇到那种情况，我会吃很多很多好吃的，来自我安慰一下的。 嗯，就比如说画画吧，画画的话，之前灵感都是来的很快的，要就是拿起笔就有灵感了。然后现在画画的时候呢，就是要想半天，想半天白天想晚上想才有灵感。 我最近感到压抑或难过的事情，大概就是人与人之间的交往吧，或者说是学习之间的压力，学学习有些科目跟不上严重偏科的那种。然后难过的事情就是有点在学校里面住宿的时候，总是会想家的等等。 这一点的话，我平时都不怎么关注他们的，所以我是不太清楚他们的状况。还有就是我我没有那么多的朋友。 好像也没有发生过什么重要的事情，就是学习压力比较大而已。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_31/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，最近的话我就是由于学习压力有点大，学习压力有点大，学习也紧张，学目也多了很多，我我就更加努力了。家庭方面就没有什么家庭方面没有什么问题，也没有什么感到疑惑的，就是感到感到非常紧张，就是学科又多了嘛，那考试也多了，到时候考不上，又上不了高中，就有点紧张。现在这个情绪。 我有好几个要好的朋友，他们嘞他们都行。我们就是如果在有如果有不懂的问题，就可以互相问问题，不会的作业也可以互相询问。有一次嘞，我们就是一一群人在一起讨论作业。然后我然后我们都有一题，他们都不会。然后就我我解出来了，然后我感到非常高兴，真的那种得意忘形，真的表达不出来，用语言无法表达，这就是我们之间发生过的有趣故事。 我喜欢打打篮球，看看书之类的，或写写作业。 嗯，我保持活力和希望坚持自己的学习爱好看书呃或打篮球。嗯嗯，努力学习，为自己的为自己，为自己的那个为自己的愿望而奋斗。 如果遇到这种情况的话，我会解压，就比如说身心解压、游戏解压，或者通过一些物品来身心放松，嗯，就让自己放松一下，不让自不让自己那个学学学业那么紧张。 呃，平静。 在身边没有处于这没有处于这种朋友，他们他们都是呃也像我一样很紧张，因为学科多了，他们他们现现在也是非，也是感到学习紧张。 我最近爸爸给我报了一个那个c++的那个课程，爸爸花了不少钱呢。所以我我想我我一定要认真听讲。所以每一节课我都会认真听做笔记，尽可能把每一节课都做好，每每个作每一个老师电脑，老师留下的作业都会做好。我一定要把电脑学学得惟妙惟肖？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_41/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "并不是有趣的故事，初中就会有新的朋友。我就遇到了两个朋友。一开始我对他们的印象是比较要好的，还想主动上去搭上他。可是呢后面我发现他们并不是那种想象的那么好。就是说开学前几周我跟他们成为了朋友，可是他们就是喜欢学我的动作呀，还有我的行为啊，但是有些动作我都感觉我没有做过，他就说是他学我的。然后这样让我感到很厌烦，我特别不想跟他玩，他特别喜欢告小状，然后呢让经常做一些让我感到不悦的事情，绝对不会。 我会或许我会跟我的爸爸妈妈说，或者跟我的朋友倾诉一下，让会让我感到比较开心，就是得到了一种舒缓。 也许是苦中有乐吧。我上了初中之后呢，就是说又有好的事情，有坏的事情，但并但是呢坏的事情也许会会伴随着快乐的事情。但是呢我还是觉得上了初中之后呢，算你的学业加重了，然后呢运动量加大。但是呢学习中总是有快乐伴随的，然后呢，学校也会搞一些集体活动。 好像应该没有吧，我觉得他们都挺开朗的，不会这样子吧。 我就是比较喜欢在周末吧，或者在学校呢，我比较喜欢哦，在学校可能没有那么多的空余时间，但是呢我还是喜欢在下课的时候跟你朋友闲聊一下下。然后呢，在家里的话，我就会先写完作业之后呢，有空一段时间，到了星期天我就会用我的爸爸妈妈聊聊生活怎么的。 如果说最近几周的周测，你可能会考的没有理想的那么好。但是呢第一次考总会紧张怎么的怎么的。如果你没有那么的沮丧，虽然一开始我也有沮丧，但是我一想到还有下次的周考就不会那么沮丧。那我们就是说下一次考的更好吧。 可能是我上学期期末考试考的不是那么的好，所以然而学费又有点高，所以我妈妈就可能会有点生气。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_46/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "打篮球吧，毕竟我喜欢打篮球，打篮球可以让我适应环境，适应环境，我就不会那么想家，就想父母 打篮球写作业 嗯，前一两周确实周测的时候没那么好，但是现在慢慢的嗯慢慢的适应了新学期的新新学期，新气象的心理，现在成绩慢慢恢复以前的状态了。 啊，你打篮球可以舒缓，我的心情，舒缓我的心情我就不会，我就不会觉得很难适应环境，适应环境，我的成绩会慢慢提升。 最要好的朋友有两个。嗯，我这好看，我每天下午放学的时候，都会跟他们两个打球，打完球我们就一起去洗澡，一起吃饭，吃完饭一起回教室写作业，每次打篮球都会发生一些有趣的事情。比如说我们打篮球赢了对方，或者我们打篮球输了输了就很有点伤心，但是呢下次一定会打的更好。 好像没有我们的，我们我们班同学都是一下就很适应的适应环境。呃，一开学就回到了回到了上个学期的状态 既贫既又开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_53/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "打游戏看书、看电视。 没有。 嗯嗯嗯，最近最近也没什么东西嗯嗯呃。 平静和开心。 去做自己想做的事情。 上午看书写字，下午去外面游玩，星期日上午读书写作业，下午玩游戏。 打游戏、看电视、课外运动，去外面郊游，或者跟着同伴去玩。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_60/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "哦，人都一样啊，嗯生活状态很好，生活过得很好，胃口食欲都不错。 平静很开心，快乐。 没有，根本没有。 呃，寻找家长老师朋友才行。 老师心情愉快。 吃饭睡觉，吃饭，睡个觉，打游戏。 玩游戏、玩手机呃，和家人一起出去买东西。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_66/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "喜欢做。 没有。 真好，唉，真好看你最近的嗯。 没有。 三个。 开心无聊。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_70/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "对对对，和平打游戏太菜了，被队友骂菜狗怎么整？ 呃，背后里说说我坏话。 没有不想说。 跟一个男生玩的很好。 呃，主要主要就是因为成绩。 他们说我太帅了。 呃，心里慌的。 呃，写小说。 算了吧，你可想多了，我不说。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_75/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "宁静宁静。 多去想想自己优秀的地方啊，也可以选择看电视读书来让自己保持身心愉悦。通过外在的乐乐趣，让自己感到开心。 好吧，没有。 呃两个呃，他他每天都会都会，他每天都会帮帮助我学习。然后他周末还跟我朋友陪我出去玩，他都会主动找我，出去玩，帮我解决我的烦恼。 看电视，有时候会看一会儿书啊，有时候会打会游戏。 学习任务有点重啊呃的还有搞比赛，有点紧张。嗯，刚开学有点不适应。 向同学交谈交流，交流自己的情况，然后可以找老师啊，上网咨询，找一下心理老师。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_76/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "嗯，反正就是啊听了，反正就是不时鼓励一下自己，听听别人跟别人聊天，哎，让自己保持一下快乐比较愉悦的状态吧。 呃例子的话，就比如说之前嗯比如说之前我比较喜欢那个什么比较喜欢那个什么搞点什么运动，打什么羽毛球。嗯，现在我比较喜欢看书，嗯，就这样。 我可能一开始会比较烦躁，嗯，可能会比较那个很很比较比较抑郁，然后我会尝试，我会我就会尝试跟那个同学或者家长聊一下，天缓一下，缓解一下情绪。然后嘞，然后我可能会也会去跑一下步，看会视频，反正就找找点事情干，放松一下。实在不行，我就躺一下，呃，吃点什么东西，吃点吃点好的，睡一下，反正反正也可以过嘛。反正如果围绕这种行为的话，那最多过个一两天就差不多差不多缓解了，差不多就没什么感觉了。呃，就这样吧，我有的就这种法子了。嗯，要么我要么找同学家长聊天，要么看视频玩游戏跑步，实在不行，就吃顿好的睡点觉，就这个样子，我我方法就这么多，也没什么法子了。 呃，就是怎么说咧？嗯嗯，感觉也还好吧，学习生活的话也算比较适应的，还算比较好。那来什么作业部什么的，也可以比较比较好的完成吧。唉，虽然也不会的，但也能搞懂，也能搞懂，大分也能搞懂吧？嗯，那背书最后也还是可以完成的。虽然有些时候有些时候可能可能感觉有一点烦躁淡淡，来，最后呢还是可以缓过来，呃，可可能多半会有点气烦，反正有点就有点微躁烦躁，但时候呢也就过过个一两一天不差不多就好了，反而现在反正还的很还的很好，现在过得也还不错的啊。 我想不太多吧，我身边的人都挺那个，挺就是比较活泼的。呃，人身边人都是不错的。呃，坐我周围那些都是，其他的，呃，其他的我就不是很了解，也不知道怎么说。嗯，主要是我这个人就就是那个样子呀，反正我觉得身边人都挺不错的，呃，都不是很那个很焦躁，嗯，应该问题不是很大嗯。 嗯，感觉还是比较平静的。 嗯，我一般如果度过周末的话，嗯，我一般情况下度过周末，一般可以适合那个。\n首先我先是早上六七点起来嘛，我先是起来，然后起来呃，然后去吃早餐，吃完早餐，然后跑跑一下步，嗯，跑一下步，然后看一会儿视频，然后大概到那个到八九点的时候，我就开始写作业，写作业的话，然后到中午我就跟那个家里面吃饭，然后到下午继续写作业。那啥看视频什么的也有，然后到了晚上我就晚上我就刷牙洗脸，然后睡觉。你要我说，什么最有意义最有趣，或者什么最有意义周末的话有什么东西的话，我觉得的话也不是没有吧，反正我觉得我觉得我最有意义周末的话，就是那种，嗯别是跟那个什么，我最后意义的就是什么是跟咱们家里人去外面玩。\n呃，虽然感觉可能很平常吧，那个但，跟家里面人去外面玩嘛，那总是开心的，就就算什么都不干，上面兜一圈都好，那也是开心的，嗯，让人觉得身心愉悦。\n虽然说对外面什么游乐项目其实我不是很感兴趣。嗯，他反正多方面原因的，但哎，反正家里面的人啊，不干活啦，我也不我也，我有时间啦，可以不写作业啦，去外面耍一下。哎，那吃个东西，吃个饭，兜个风，兜个风，逛商场啊什么的，也挺开心的了嘛。嗯，啊，反正日反正日常就这个样子也没有什么可以说的，嗯，嗯，就这样就这样哎过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_112/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "放放轻松身体，然后呃对这件事情少放在心上，能不自己处理的时候，就不用自己处理。嗯，不要让自己分心。对这件事情放太多的心了，耽误自己的学习和生活。 没有。 相处模式比较友好，平时都是好好沟通。有时候呃妈妈会比较呃是比浮躁一点，因为压力生活压力大，呃，要养育我和我的哥哥，所以一般他脾气比较大，然后我们要我要顺从他，然后不要惹他生气。因为家里的负担都是由他一个人承担的。呃，父亲爸爸离开，离开了，这边自己去外面了。 保持快乐，做自己喜欢做的事情，不要搞得自己天天不开心。做每件事情的时候，先是尽力而为，然后再是慢慢努力达到最好的成绩或最好的结果。 感觉成绩还行。然后我再是对于对于害怕，担心将来自己考不上中考考不上高中，对家庭负担大挺担心未来的。 开心。 画漫画画写实。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_115/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，看风景相好，想起以前的有趣事情。 那天我回到了老家，遇到了多城未见的表哥表弟，我和他们玩的甚欢，一直玩到晚上我们吃了烧烤嗯，烧烤，然后做了一起玩了游戏啊，还打了羽毛球，聊一聊我们以前的事情。 看窗外的风景，然后回忆一些开心的事情啊。 打游戏看视频。 开心。 学习成绩很好，然后数学也考的很不错，语文还拿了个第二。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_125/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "感觉没有什么人愿意跟我玩，我明明对他们都很好，但是就不知道为什么都不太愿意跟我玩，就没什么朋友就感觉好孤独。过生日的时候，邀请的还得是同学，然后就是我朋友，甚至连我生日都不愿意来，就没有交到什么好的朋友。但是我觉得我应该值得更好的人，但是就一直没有碰到，因为我对朋友付出的都挺多的。但是朋友他不愿意怎么向我付出，并且老是无缘无故跟我吵架，而且我认为我什么都没有做错，他们就要跟我吵个不停，我是真的烦我。呃，而且我我的兴趣班就是油画呀那些的，但是我又不太想上，然后那些我妈又老师说那一节课就要一两百，然后让我去上逼着我去上，我也真的受不了就烦就很烦。 沟通的话，我总静不下心来，就是跟他们交流就挺想发脾气的，也不是说讨厌他们吧，但是就是挺烦的，就是不知道为什么呃，我也知道他们是为我好，但是他们的老是压力，我搞得我好烦，然后就是挺挺挺挺挺让人烦的吧。我爸老是喜欢说什么？呃，你你看你爸爸又给你买了这么贵的东西，那你会要好好学习，要报答我们就老是用这种来说就感觉很烦人，然后又又喜欢一直盯着我看我很讨厌那种一直看着我的目光嘛，然后叫他们不要看了，就非要一直盯着我看听都不听的。他们我妈因为喜欢老是给我剥水果，他们就老是喜欢自我感动，是教育都没有感动到我，他们感觉他们自己，然后全都就觉得他们自己做的特别好一样。想跟他们说吧，又不知道怎么样说，那我就挺烦的，就是发翻白眼，然后发脾气。就是虽然知道这些不不太好，但是就是控制不住的烦躁。十年的时候。 愿意其实也不是一直都这么的有活力和希望。只是最近就按今天的来说，我是充满活力和希望的，但是之前是倒也没什么，反正我现在还那么小，还有那么长时间，我现在有那么多些东西没吃过，还不如好好的玩一玩，放松一下，而且我还要考高中的，然后考上了高中就可以考一个好的大学可以找一个好一点的工作，拥有好一点的生活，就算再糟糕的话也没关系，因为我成绩也不算很烂，我知道我自己成绩也摆在那里，我也知道我可以考什么样的分数，只一些些失误而已，我都不在意了。倒是我朋友一直看不开，我只能想方设法安慰他喽。 ，那肯定是有的呀。我周围的朋友肯定是有一些人会这样子的，反正他们担忧，但是我尽可能的也会安慰一下他们吧。 就是对成绩什么的有点慌吧，其他是没什么感受，要是作业没完成的话也会慌，因为怕老师或者家长就是成绩考的不好，老师又发给家长了，就非常的慌。 其实影响也不大吧，就是呃在生活中的话，可能可能会有一点摆烂。嗯，学习也是有点摆烂。但是但是知道这样是不对的，还是会有一点，还是会有一点不太不太好说，还是会很焦躁吧。 呃，这次考试成绩有一点差，所以也是英语考的非常的不好。然后嗯语文考的也有点不太好吧，但是报了个英语补习吧，应该还是能有点用的，就希望自己成绩能提高一点。因为现在初二了，希望能考到一个好的高中吧，女孩呀，祝你加油。 我喜欢玩游戏，然后手机不忙了，玩玩玩下游戏，刷一下短视频什么的，然后寻找一些慰藉吧。 呃，在周末生活的话，我会熬夜，就是跟一些网上朋友熬夜打游戏或者聊天。哎呀，我知道这不好的行为，然后生活也很不规人律，像我也是蛮不规律的，我也是非常的烦，但是但是呢还是也是还可以的吧，我也不知道我要说什么，反正现在心情就是非常的无所谓了。哎，没什么兴趣，就是很无所谓。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_132/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "呃，开心。 听音乐 听音乐。 没有 事事顺心，成绩很好。 呃，多听音乐，对。 陪同学过了生日 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_135/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我们喜欢打游戏，吃零食写作业。 呃，玩游戏使我快乐，什么都使我快乐。同学来我家使我快乐，这就是我的秘诀，我的秘诀就是要取得更好的朋友，好吧。 正好看来啊。 没有没有，我自己来缓解。 不好意思，我不相信你会保护我的秘密，不能告诉你，抱歉，拜拜。 很明显的，肯定会选择平静和开心啊，这样子才让我更开心嘛，对不对？ 没有没有没有没有没有没有没有没有没有没有没有没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_136/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "就是感觉周围的世界感觉都没有意义，就是活着感觉没有什么意义，就是活着嗯就是为了被爸妈打，或者是没有空余的时间玩，然后疯狂学习就感觉还不如嗯重新活一次，然后活的更好一点，感觉现在很烦，感觉什么都不如意。 我也不知道吧，就发发呆，就也不知道在想什么就发呆，要不然就在纸上乱画，用来打发时间，因为不知道干什么，也没有特别喜欢干的事情。 呃，这怎么说嘛，就是也是那件事吧，而且就是放假回来。然后呢嗯我爸就在那说泡温泉是因为我们要去就感觉嗯好像是为了应付我们一样，为了应付问题，然后才去的，就感觉有点难受。 最有趣的就是这个国庆，我和我们家人一起去泡了温泉。然后呢，放假的时候，我我还可以玩放松一下自己，然后玩了一下游戏。嗯，看了一下动漫那种我喜欢的动漫，然后也吃了很多好吃的。 呃，父母不理解我，然后父母不理解我，然后强迫我学习，然后考的好，考的不好的话还会被说，然后被说就感觉很难受，就心里有一股说不上来的滋味，就是反正就很想哭。然后呢，嗯感觉没有人理解我，然后我只能把这件事情憋在心里面。 就是我被我妈冤枉了一次，我只是想让他道一下歉，但是他就不想，他觉得嗯他不应该对我道歉。然后呢，最近的学习他就让我考六百五十分，但是我不可能考到这么高，嗯，害怕他会对我失望。 应该有吧，就是会很伤心，经常经常拉着个脸的，就是没那么开心， 呃，差不多是学习，让我有时候想到这件事情，然后就会出神。生活的话呢也就那样吧，其实影响也没多大，就是学习要是突然想到这件事情的话，就有点想哭，他又不敢哭出来，影响还是有点大的。 就感觉很烦，不知道为什么总感觉很烦，但是不知道哪里烦，就是感觉睡都睡不着心，里面总有一点事情，而且感觉因为家庭的关系，然后有点不开心，就和家里人没走的那么关系紧张。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_139/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我会选择开心和平静。 我和我的好朋友周末会经常一起出去玩，还会一起在图书馆里看书学习，讲一些发生的事情。 最近的学习状态还不错，但是觉得自己的学习还可以提高，这样的话可以取得更好的成绩。 我身边目前没有这种状态的同学和朋友，他们和我一样，都每天很开心而有认真的生活吃饭。 我在空余时间喜欢听歌写作业，或者是做一些自己感兴趣的事情。比如出去跑步和打羽毛球。 就是不要在意他人的想法，别人说的事情不一定是对的，只要做自己。 我会选择去做一些自己感兴趣的事情，做一些自己感兴趣的事情。例如听音乐、唱歌或者是去干一些其他对生活和家人没有害的事情。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_142/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有这种状态的同学和朋友 出去运动或者听音乐。 心情愉悦。 保持自己的兴趣爱好，放松自己。 上学状态很好，晚上睡很香 打羽毛球，听音乐。 我一般早上起来洗漱吃早餐，然后看一个小时的书，然后休息一会儿玩会儿手机吃完中午饭后两点左右出去，下午出去打球 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_143/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，考试成绩不好，然后又被老师说了几声。呃呃，老老师说什么我都有点听不懂成绩考的那样子，我又没法跟爸妈交代考的不好，没有高中读，我以后就没有什么光明了。 家里爸爸妈妈都很忙，所以平时都是我跟我哥出去去玩，我跟我哥出去去玩，我也没有什，我也不知道怎么什么好玩的。他除了带我出去吃，也没有什么。最近国庆这几天回到老家，人家给我了好几百，我就出去买了个篮球，自己出去打，我和家里人关系还挺好的吧。反正我爸妈就是那种一会儿一会儿很温柔，一会儿很发很发飙的那种。我接受不了爸妈这种这种模式。我哥哥，我俩我有两个哥哥哥哥哥大哥，在广东广州那边，然后大哥现在在肇庆那边读大一，我大哥毕业了。所以平时我爸妈在店里面只有我一个人在家里，但是有的时候回来的时候，总是总是我那两个哥哥带我出去玩，爸妈都没带过我出去玩，对啊。 空闲时周，我会打一会儿篮球。 成绩老是考不好，然后同学们都说我很很很丑，走路又有点歪，反正就是个人个人的身体素，身体差，被他们嘲笑，然后还给我取外号。然后这几天考试呃，又考的不好，好多没有及格。然后爸妈爸妈家里条件又差，说考不好，又又要去了，回老家读。 呃，晚上跟同学聊天，发现朋友背叛了我，搁这拉黑了。 我会吃一点东西，然后跟别人诉说，可是有的时候诉说别人也会说我这个人的就这样子。所以我都是有时候会在闷在心里面，或者回去跟爸妈说一下，可爸妈又不会怎么去听你爸妈也忙。所以有些事情我一直都憋在心里面，我也没有什么方法去缓解。 朋友的朋友的骂声，父母的不责，还有我的无力，呃，我自己也不知道怎么说。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_146/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我喜欢打打牌，打打羽毛球出去看看风景。有时候呢我还会看我书打，比如还还还会打会游戏，甚至还会有时候内卷。 我会出去深吸一口气，看一看风景，去打打篮球，打打羽毛球，放松一下自己。 完成所有的任务，并并且并且有时候放松，他是并且有时候放松叫自己，不不要让自己太累。 身边没有这样的同学，身边都是些乐观的同学，他们没有这种症况，他们都很乐观，包括我旁边那个人啊。 嗯，happy read wood非常的平，很开心，很高兴 到周末的时候，我会和我的朋友玩，包括那个什么罗我旁边的朋友那个什么罗军勇，我又和他一起去玩，怎么以为去运动打篮球，我也会偶尔偶尔的打会游戏放松一下。总的来说，还感觉周末挺有趣的， 呃，最近学习我感觉还可以，感觉不怎么累。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_153/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我的身边没有这样这种状态的同学和朋友。 呃，做我喜欢的事情，比如看书踢足球的。 我喜欢看书。 我一般星期六会在家里写作业，星期天我会和家人出去玩，或者自己去图书馆看书。我觉得最有趣的那个周末，我和我的另外七个同学一起去国贸去玩，没有大人在我们把整个国贸都逛遍了。 平静。 最近的生活中并没有什么特别不寻常的事情，我很适应初中的生活课程，我都能了解并掌握，没有什么令我感到焦虑的事情。 我会去图书馆看书，去外面玩一玩，缓解一下。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_159/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，有一些吧，就比如说他们其实有一些这样子的烦恼，导致他们就是对于学习可能就呃就是对于学习上的一些就可能比较麻烦吧。因为这烦恼过多，就难以让自己定下心来学习什么的吧。 嗯，如果是在学校里的话，可以可以跟同学们聊聊天。如果是在家里的话，我我一般会选择呃打开手机刷视频、刷视频，还有打游戏的来放松一下，呃，来放松一下，缓解压力，或者是看一下呃，或者是看一下自己喜欢偶像的照片，然后来让自己变得开心。 保持着天天，就是天天开心的想法，就会让自己一直开心。 嗯，最要好的朋友有四个，然后跟他们发生的故事，就是比如说在宿舍里面，我们会嘻嘻嬉戏打闹嘛，然后就会比较开心。然后比如说就是呃面对在学校里面，有些人在在呃在给我们的一些一些字迹。那比如说在课桌或者是在墙壁上留下来一些涂鸦，我们看到了会互相就是互相传阅，然后呃就是会会互相告知，然后呢大家一起一起嬉戏，对于这方面就是比较嗯开心什么的吧。 最近最近的话就是慢慢释嗯，慢慢释怀了考试没考好的一些一些问题吧。然后就想就是脑子里面就想着天天开心，就天就想着天天开心就好了。然后不要考虑太多问题。嗯，当我感到焦虑的时，当我感到焦虑的时候，我想着我静静的哭几场，然后想用眼泪来宣泄一下我的烦恼。然后这样的话我就可以缓解我的压力。然后但其实有一些有一些有一些问题，始终是心里的一根刺的。我会但我会淡忘他，只要我不去提起他，他他就不会是我，他就不会是我心中所烦恼的。 平静。 嗯，就是就是比如说烦恼的时候，可能对朋友或者是老师就会有一些不太友好的态度。呃，因为因为情绪这种东西收放收放很难的嘛。如果说当我处于极度愤怒或者是极度悲伤的状态里，我可能会不管不管是何人，我可能都都不会是以很好的态度来面对。所以所以说这会给我的人际交往带来一些很严重的问题。然后如果处于这种状态的话，我可能对于学习学习这种上课，比如说比如说上课的话，就可能很难静得下心来啊。如果说是如果说是写作业的话，就可能就是进入状态，然后静下心来写作业，可能就是写着写着就会走神，然后去想去想一些关于这方面的问题 嗯，比如说家庭有一家庭父母吵架或者是是考试没考好，考试没考好。呃，考试没考好，还有呃学习压力太大，然后跟同学相处的不太愉快，然后会过于在意他人的看法，主要是家庭一些矛盾，使我比较困扰，使家庭矛盾使我比较困扰。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_162/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，身边的人并没有处于这种状态。 嗯，最近的学习情况呃，比以往的比较好，学习压力也不是很大。 空余的时间，我会选择和同学聊一些关于学习上的知识，或者看一些课外书。 嗯我会保持自己的心情，呃，努力的让自己呃平静下来，遇到挫折也不会灰心。 我可能会适当的放松，呃，听听音乐或者是独自在独自出门散步。 周末，我我会一般会先预习一下所学的要所学的知识之后，会开始复习上一周的学习内容之后会开始写关于这一周末的作业之后，会适当的放松之后，在开始学习，学习完之后会再适当的放松。 平静平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_179/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "转移注意力多做一点呃，自己感兴趣的那些兴趣活动。 嗯，我的呃就是我一直都处于积极向上的状态，就有时候遇到了一点挫折，会有不超过一天的时间，处于在情绪低落的状态里。但是我会自我安慰，觉得应该向前看，而且生活也没有什么非常不如意的地方。我会继续通过转移注意力、培养兴趣爱好等方式来保持一天的活力和希望。 没有，我身边的同学和朋友都跟我一样积极向上。 平静 我最好的朋友有两个，一个是我的同班同学，我们经常做什么都在一起，然后相处的也很融洽。另外一个好朋友是在隔壁的班级，虽然他在我隔壁的班级，但是他是我最好的朋友，他比啊同班的那个朋友更好一点。呃，可能是因为我们认识的更早吧。我们周末的时候经常一起出去玩，有时候会一起看电影。 嗯，学习成绩还可以，在前十以内，家里也没有发生其他什么事情，一切都很正常。 在空余时间，我大多数都在玩手机。除此之外，我还会看一些感兴趣的课外书，还有，有时候会偶尔会画画，偶尔会出门做些运动。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_191/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，我认为我的学习应该更加努力，生活应该趋于三点一线的标准生活。 啊呃我喜欢在空余时间里放松自己的心情，去眺望远方等等，来放松一天之中遇到的烦恼事情。 呃我感觉最近考试考试我平常的水平也就那样子，学习成绩很差，为一年之后的中考感到压抑和难过，要好好努力，等画完就再买一个。 我每个人的心中都有一段令自己奋斗努力的目标，这也是能够一直激励我们之勇往直前的东西。这个米也就是算了不说了。 嗯，呃我最友好的朋友有曹一凡，他总是跟我分享一些他情感上的事情，我们同称坦诚交代，但也不算比较要好的朋友。因为初中时期，交友不应该过深。 有的我身边有处于这种状态的同学或者朋友，他们也在为学习而困扰。 呃，最近因为考试很快，中考，现在学习也不好，所以说感到比较焦虑，晚上睡觉会有点不太好。 呃呃，学习不太好，学习非常非常不好，目前学习状况使我感到焦虑， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_194/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "开心。 过得非常的愉快，跟同学相处非常的好，睡眠非常的充足。 没有什么秘诀，就是天天笑一笑。 静坐想想自己，然后缓解缓解心情。 我喜欢去打篮球，然后或者去打羽毛球。 一般先下午写完作业之后，和朋友出一起出去打篮球，然后回到家晚上的时候看会儿手机放松。 嗯，目前没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_195/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，其实呢呃怎么说呢？我感觉最近学习压力确实有那么一点大，毕竟七科嘛，但是我还是可以接受的，有时候背书任务也是比较多，但是但是但是我认为这样子也挺正常的，毕竟现在初中嘛，而且我爸跟我谈了，他说有什么呃压力都是可以跟他说的。所以我感觉我现在精神状态还是挺好的嗯。 嗯，遇这种情况其实我也不是很清楚，毕竟我也没有遇到过。但是如果是这样子的话，如果在家我可能会跟我爸说一下，毕竟呢我爸都是很愿意跟我谈的。所以呢我一般这种情况是不会持续太久的。 不愉快的事情倒是没有，但是呢我并没有觉得最近的生活很令我开心吧，有点枯燥无味。嗯，在学校呢都是学习是比较无聊的，这令我有点糟糕 看书吧，我家里有很多书都是我爸给我买的，我爸非我爸妈都非常支持我看书。不过在学校我看的一般都是学校要求那些名著，我不会看一些科幻书。但是在家里呢，我会看一些自己喜欢的书籍 我的朋友有很多个，但是呢我只有一个最最最好的朋友，他呢和我不是同一个学校的，他是别的学校，但是呢他跟我是同一个小区的，我周末呢还是可以跟他玩。我还记得国庆的时候，嗯，有一次我们两个六点骑车，然后呢去江边看日出，日出非常美，我们拍了很多照片，还发了朋友圈。而且我的我的国庆假期有一半都是跟他一起过的，我们去商场购物，然去看日出，然后还骑车一起去了很多地方玩 行，嗯，平静吧，毕也可能呃，无聊吧，无聊吧。呃，我最近是挺无聊的，就感觉比较呃生活呢感觉都差不多。就上课写作业背书，然后又去吃饭，下午又洗澡，然后回来晚自习，感觉现在生活是的，学习生活是挺无聊的 的心虽然呢我身边的人都说呃，每天好多作业要背好多书，但是呢他们也能呃完全的，他们也能写完，也能背完，就在一定的焦虑过后呢，这种状态就是完全没有了，只是呢有时候作业多或者背书，多的时候还是会吐槽一下。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_198/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "劳逸结合，该玩的时候就要玩，该学习的时候就要学习。 向好朋友们倾诉，或者向父母倾诉，或者向老师寻求帮助。 没有的，我身边的同学和朋友都非常的自信乐观，快乐。我身边的同学和朋友们都非常的自信乐观、快乐。 考试考太差了呃，爸爸妈妈的预期没有达到。 平静开心，快乐。 我最要好的朋友，有一个他是一个学霸，他的学习非常好，我们两个经常在一起玩。然后有一次我有考差了，他来安慰我，这让我非常的高兴。呃，然后我很我很高兴我能交到他这个朋友，所以他不高兴的时候，我也会去安慰他。 在学校空余时间，我喜欢做题，在家里空余时间，我喜欢打游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_199/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯朋友帮助，还有自己心情放松，情绪放松。 开心高兴，嗯，心花怒放吧，感觉有点，因为这几天成绩考比较好。 最要好的朋友的话，应该有七八个，首先是班上自己的同学啊，和他们玩的都比较要好。还有其次在打游戏的时候，认识了一些网友，不过离得比较近嘛，所以就线下都见过面，就在国庆的时候，和自己的那个网友天天在一起双排打游戏，感觉挺快乐的。最重要的是嗯，这样聊天，聊的比较开心，属于那种比较细节的，回信息都一条一条回那种。挺开心的，没有，很少有人这样对待。 月考考试考的还不错，大概有七百四十九点多分，心情比较好吧，回家可以有交代的。 大概是一周的话，应该有四五次。 嗯，听音乐或者是自己哼哼歌吧，缓解自己的心情，我找朋友倾诉也可以的。 嗯，比如说自己最近都不爱怎么听歌，也不爱怎么看小说。 大概这几天国庆期间的时候玩游戏吧，然后呢打的不太顺利，挺不开心的。还有上周月考的时候，总感觉自己成绩考不好，所以就很比较担心担忧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_205/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会我会我会经常手冲啊，我一天手冲四发，我跟你讲，我跟你我经常会手冲啊，我最喜欢手冲了，我我最喜欢手冲了，我都我一天手冲四发。 非常的beautiful,也是非常的好好吧。也是比我旁边的废物主播考得要高，我非常的开心，好吧。 你看你看这提纳里还伤害没有我高。哎，这什么鬼。他妈的跳个这个玩意儿，不要不要不要不要我跟你讲啊，我提纳里可可是可是可是现在如今最强的比我比我旁边那个废物他妈更强，我跟你讲。 啦啦啦啦噜噜噜噜 我我我每天手，我坚持每天手冲一发，所以我现在非常的精力旺盛，好吧，这个是我的秘诀。 我的好朋友有两千多个，而我最好的朋友是我朋友的主播，他虽然他知识不如我，他虽然他体体育只比我高了一秒钟，他妈也，干啥啥不行，他妈吃啥啥不剩，妈的就是废物来的，他就是个摆烂的东西。 对抗路之后，还有不在一半，一半直接被落空，直接一杀，直接带走好不好？我们直接刷去中路去兵兵线，做完兵线，看到对方打野，直接一个小伤害。那你你说你多少万来着，你说多少万来着，阿巴阿巴阿巴噜噜噜噜噜 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_207/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我不知道，没有。 开心。 翻唱k top歌和画画。 找心理老师。 跟朋友一起出去玩。 最近月考成绩发下来了，还可以。 保持平静的心态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_209/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "平静无聊。 还行。 求助老师或者家长，让他们帮我缓解。 我喜欢打篮球，偶尔玩一下游戏。 做自己喜欢的事情，让自己放松开心。 没有。 相处的很好，平常是相互理解，沟通的不会发生矛盾。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_216/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会与朋友进行交流，向朋友诉说我最近的困扰，或者向心理老师或者班主任诉说我的困扰，让他们为我提出有帮助的方法，或者我会做其他事来转移我的情绪。 嗯，开心平静，但有时也会稍显无聊。 嗯嗯，有时会跟我的好闺蜜一起练字画画。有时我会去看我特别喜欢的动漫去看里面我喜欢的CP？ 开学后与同学的相处很不错，我也迅速投身到了学习当中。深入九年级所接触到的新科目化学也也很简单。在最近的一次考试中，我个人认为我的化学发挥是挺好的，并且与同学们的交流与日常交往关系中也没有出现很很大的冲突，基本上都是以朋友的关系进行相处。 就每天保持乐观的心情看待事情，不要一条路走死。 在我所接触的人中，我认为是没有的。 哦，最要好的朋友有三四个，由于他们曾经我与他们从小学就是朋友，至今我们都关系很好。小学的时候，我们经常会一起出去玩。嗯，我记得有一次我们到一个广场上玩，发现了一只发现了一家图书馆，我们便进去看了一下，后来有一个人发现了一本很有趣的书。所以那一天我们都在图书馆和他一起读完了那本书。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_224/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "有。  What? 麻烦让学校做的饭好吃点，谢谢。 我写作业受到影响了，之前写的老快了，现在写的太慢了。 写作业、打游戏，躺在床上睡觉，没什么有意义了。 转移注意力。 惊喜不定。Ok. 乐观向上的心态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_225/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "开心吧。 如果我遇到这种情况的话，我会采取先放下手上的一切事情吧，来放松自己。比如听听音乐唱唱剧，打一打游戏，然后呢和同学朋友亲人多沟通一下，说一下自己的不开心什么的，或者出去玩也是可以的，其实很少，这样吧，主要还是目前的状态还比较好。 这几天的学习状态确实还行。嗯，就是每天按照日常的课程来来吧，就是有时候课程也比较紧嘛。哦日常课间的时候就背背书什么的和老师。然后呢，平常就和朋友一起玩，然后呢，晚上日常的作业也及时完成啊，嗯课程也真的上呃现在当前的状态呃感觉比较好。 我最后要好的朋友有三有三个，我特别喜欢他们和他们玩，其中就是其中有一个是我认为最最好的一个就是他他和我一样也是走读生嘛，每天晚上回去的时候也聊聊天，说说说一说晚上回去干了什么，然后呢晚上什么时候睡，特别特别有意思。然后呢，每天我们下下下课的时候，我们三个都会，我们四个都会一起去上厕所去玩，去嘻嘻哈哈讨论一些有趣的事情。还有一个就是这学期嗯刚认识的朋友吧，他人特别好，我特别喜欢他的性格，就是上一周我和他一起去下面买饮料，结果那个贩卖本来他有二十块钱，结果他把二十块钱塞进去的时候，他退钱的时候退不出来了，结果就是硬生生的买了五瓶饮料，真的好，有意思。还有一个呢也是一个特别好，特别特别好的朋友，我我也挺喜欢他的。我会有时候会和他讲述我一些的不开心。嗯，那不不开心不快乐的一些事情，他也会为我分担安慰我。所以我觉得这三年来来的话，就是交了这三个朋友，特别特别的开心，就是每一天每一天都比较开心嘛，不会无聊。嗯，就是感谢遇到他们吧，就是让我这就这三年里面嗯不会那么孤单，就是有快乐的回忆。 也没有吧，就是尝试怎么样的，现在就是尝试实践出来了，嗯，就不要太记仇的就好。 我身边没有这种状态的同学或朋友，他们都比较开朗活泼吧，压个不放心。 妈的，就是每天开开心心的吧，保持着好状态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_230/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "在我的记中，这种朋友的话，好像的是有一个吧，但并不是很严重，没有影响到学习生活，学习还是之前那样子没有变动，生活也都还好。 我最好的朋友的话有四五个那样子吧。不过他们都是在小学六年级以后分开了，就是那些朋友只是小学朋友初中的话，还没有相处的时间还不够长，不能还不能找到比比较合自己心意的吧，我最好的朋友先给你讲讲我们班的班长吧，他的学习成绩很好呢，有时候也很有趣，比较搞怪，时不时的话就会讲一些网络上的梗来逗我们笑。一个人我们的话都是属于比较喜欢看小说的，比如爽文呐，有爽文甜文什么的，我就觉得挺好看的，跟他也就聊到一起去了。后来的话跟他在一起，我出我有一些坏有病，好像也是改掉了不少。如果要讲有趣的故事的话，就是有一次我和他一起去按一个这边的振兴城玩的时候，他抓娃娃娃花了几十块钱，抓不一直在抓你们一个娃娃，就是抓不上来。当时的话就是要给我笑死了，我就这么多钱，我自己就能装两三个那样子了，他一个找不到，我给他录下来了，那表情好挺搞笑的。 如果有材料的话，我会选择区域做些手工，画画，看小说。 如果是我的话，我可能会去做一些让自己开心的事吧。比如的话和亲人待在一起，或者就是说我去买一件好吃的犒劳犒劳自己。再者就是好像没有啦，就跟亲人朋友什么的，聊聊天啊，出去玩啊，买些好吃的什么吃，不仅喜欢吃甜的，因为甜的容易有开心。所以我要是这样子的话，我可能会买甜食来犒劳自己吧 月考成绩发下来的时候，我是有点不开心的，除了英语，还有数学，应该是还有数学的吧，毕竟数学呃也还好吧，除了数学和英语，其他的都没有考到理想分数，就比如地理没有及格加油，还有语文，我的理想分数的话是九十多，这次只考了八十多，就呃有一点小失落吧，数学也不是特别理想，我就是在想我可能能考一百一的，但是成绩出来以后只考了九十八，然后在今正做题的时候，发现老师有一题改错了，但是成绩已经提交上去了，就算把分数就算把那三分日加回来也没有用。就本来是一百零一的，监考老师改错了，就只有九十八了。但是一看就有一点惊讶，自己这次的发育好有点失常了，但高兴的是数学最后一个大题，我做对了，毕竟那天还挺难的。 你们这边拿就是的话，上了小升初以后，学科变多了，从原来的三科变成了七科，但是还好至少能跟上。就是地理的话，对我而言有一些难度，这次地理月考只考了五十八，并没有及格，就还差一点。本来是可以及格的，但是我不会搞得焦虑，因为人都有发挥失常的时候嘛，最近的话就是感冒了，鼻子有点堵塞，声音好像又有点哑的样子。不过总体来说还是很好的。 如果用一个词来形容的话，我就觉得就无趣吧。因为我不是那种特别待得住的人，我就比较活泼好动，所以上课时候就会有些无聊。 很简单啊，好似乎的话已经没有什么秘诀吧。我就觉得来学校能和同学们聊在一起，很开心。希望的话，就是再回补我的地理吧，数学考老高了，地理我是真的差一点点就及格了，疯掉疯掉。，等回家了，我必须吃顿好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_231/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "最近的话，月考成绩的颁布给自己找准了在班级中的定位也发现了自己的一些不足，还是觉得自己没有用尽全力分数没有达到自己比较理想的效果，但也找到一些生活中比较有趣的地方。听了喜欢的歌，然后呢也参加了学生会的竞选，竞选将要来到，就觉得还是心里觉得有一些紧张吧。然后呢，也觉得自己应该加强课外阅读。古诗文的阅读现在也是现在也有越来越不懂的了，希望自己可以多一点课外扩展吧，也希望自己可以越来越优秀，希望下一次考试可以进步一些。嗯，还有就是希望自己开心一些，还有就是希望自己开心一点吧，也挺开心的。其实 我觉得自己深呼吸，然后呢去做一些自己喜欢的事，听一下自己喜欢的歌。然后呢，多看一下视频，放松一下自己，觉得就会让自己的心情有所缓解，也可以寻找家人或老师的帮助，找一个突破口去倾泻。 只要对自己有信心，然后呢认真的去做好每一件事，在每一件事来到之前做好充足的准备。 一般的话因为上了一星期的课，已经非常疲惫了，回到家里会先选择吃一顿饭，或者说先看一下手机，我比较嗜睡，容易犯困，我可能回到家也会先睡个觉，小憩一下。然后呢，周末的时候，一般先会把作业完成。因为我觉得如果作业完不成的话，就是整个人就挺提心吊胆的。然后呢，我会先把作业完成别人写作业的时候呢，我会听自己喜欢的歌，会让我写作业会感觉更有效率也更加放松，就会感觉很开心。然后呢，周末有意思的呃话最有有意义的应该就是和朋友出去玩看了一些最近比较有深刻的电影吧，或者说周末去辅导班的时候被夸奖了，这会这也会让我觉得很开心。 平静吧，认真的做好每一件事，与平常没有什么样。 虽然看微博，然后呢听一些自己喜欢的歌吧。 我觉得没有吧，就是周围的同学都很友好，都很开心，周围的学习氛围也很良好，也促使着我更加努力，想成为与好朋友相互并肩的人们。然后呢，在我不开心的时候，同学也会鼓励我什么帮助我，我觉得周围的同学都很好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_235/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我有一个朋友有这种状态，但是呢他是因为他家养了一只小鸡，但是呢然后呢他死掉了嘛，他就一直处于这种状态中。然后呢，学习上的话，有可能也有些困扰这个情况。 我一般度过周末的话，是先写完作业，再看一会儿书，看一些我自己喜欢的书，或者是做一些我爱的兴趣爱好，就比如说听歌打羽毛球滑冰之类的。但是呢我的周末啊也非常有意义，可以和朋友一起玩闹，也可以互相互问问问题，就比如说我不会的话，就可以请教他去问他，让他教我怎么做。他不会的话，我就会告诉他这题怎么做。 我喜欢用油棒画画，或者是有时候呢给我的宠物喂一些粮食，洗一个澡，让它干干净净的，或是整理一下房间，看一会儿书籍多多多的积累课外知识。 我会用我会用我自己喜欢的兴趣来缓解这一些。就比如说我喜欢画画或者听歌，来缓解这一些情况。 我感觉非常的平静，因为有些事情的话，我已经在以前发生过，但是呢有时候也会会感到很开心。因为有一些很搞笑的事情，会让我觉得心最近的心情很好，也是很想笑。然后呢很平静的话，就是因为我的学习成绩好，大概都知道，也和以前的话差不多，所以呢心情的话也就很开心，很平静的吧。 可以。但是呢最近的学习情况还行，但是呢有几科不是很好，但是呢我会但是呢我可以多加努力的去学。 因为我以前呢也是这样子想的，但是呢现在的话也变好了，就是你多多用乐观的心态来面对现在，敢于前进，不要放弃。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_241/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有秘诀，我心态就挺好的。 我有好多好朋友，然后我跟我一个好朋友，最近就是一起学习，然后进步很大。然后我们两个一个班级，第一，一个班级，第二就特别高兴，然后班级前五全都是，不也不全，都是有三个女生，就只有两个男生。 让我的生活变得比较充足，我学习也能提升挺大的。 没有 开心。 就是感觉之前学习不是很开心很累。然后现在因为心情好了，学什么都感觉很快，很高兴。 感觉还挺不错。 考的还不错，我考的还挺ok的吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_245/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯每天和同学一起玩儿，一起学习，一起复习，一起背书。是好嗯课余时间背书，或者在晚饭时间去运动嗯。 做做体育运动、听歌看书和朋友聊天或者和父母沟通。 是嗯我会多听音乐或者睡一觉，或者和父母倾诉和朋友倾诉，或者嗯出去逛一逛。 嗯，我和父母相处方式是像就是经常沟通，然后都是很平静，像朋友一样的沟通，然后也会倾听我的意见，然后我也会按他们的是话去办事儿。 嗯，没有。 遇到不好的事情向他人倾诉，然后将问题解决，然后保持活力和充满希望，然后天天开心。 开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_248/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "担心考试考不好。 嗯，玩游戏。 最近的感受对比从前较好了一些，因为成绩基本出了，而且考的还不错。 乐观的看待每一件事情。 几乎每天都会发生。 平时基本不怎么说话。 呃，上课无法认真听课，写作业不够认真。 曾经成绩没我高的人，成绩比我高了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_253/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我周五回家看电视，放松一下，然后周六做作业，到了星期天又要继续玩，然后可能星期六或者星期天晚上会去打打篮球，然后上周国庆去去了深圳广州，感觉挺好玩的， 平静开心。 平常认真上课，然后可能偶尔会有，但是可能偶尔会有走神之类的，不过还好。 呃，我会听听音乐，然后去运动。 发发呆，做做运动，听听音乐，想想以前的趣事。 我的话我对困难的事不管他，然后想想开心的事，就算收到了批评，我只是笑一笑。在作业很多的时候，我会选择写作业，写作业，然后写完作业之后，我就会感觉到心情会好了许多。 我目前没有发现。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_263/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "最近就是身体不太好，其他方面都还算可以。 好像没有。 我们平常是在去学校的路上跟来回的路上会说一些事情。 在写字这方面以前是十分愉快的，而现在感觉写有点像在罚抄 前段时间我经常被我经常得不到父母的理解而感到溃挫。 嗯，出去放，出去稍微放松一下。 当遇到父母不理解时应该怎么办 时间分配不够，学了一科落了一科。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_269/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "作业按时完成，上课认真听讲 我会采取画画、听歌等方法来帮自己缓解。 他们白天出去上班，然后中午的话会回来给我们小孩子做饭。然后就是嗯晚上嗯十点或者九点左右下班，早上七点多去上班吧，然后周末周天那些的时候就可以一起一起出去玩儿。 呃，开心吧。 我喜欢就是看一些书，然后听歌吧，然后我还比较喜欢画画。 应该没有吧，因为我身边的同学好像都挺挺自在的。 可以没有秘诀。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_271/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "早上去游乐场，下午去看电影，晚上回家看电视。 和同学分享嗯通过自我疏导的环节。 我身边并没有。 我嗯嗯上课听讲嗯，吃好睡好，都还行 平静波澜不惊。 闲下来的时候，看一些书打发时间，学习里面主角的精神。 呃，我喜欢看书，看课外书，或者写一些数学练习题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_274/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "不想说。 没有没有 不想倾泻 玩手机 什么也没有。 心烦气躁。 有一点影响。 不想军训 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_279/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "没有。 强制睡眠。 腿受伤了。 拥有一个梦想 思考发来。 一个，一起去玩吃饭，一起玩吃饭，打篮球，精神饱满。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_286/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，没有。 呃，不知道就无端端就这样子 在在星期六那天，我与家人吵了架。 没有没有没有。 我喜欢看书，还有与朋友聊天，与朋友玩耍 呃，我和他们平时相处的模式还可以。如果我遇到困难的话，他也没他们，他们也会耐心聆听，我会给我分析，然后会给我好的方法去解决。 不知道到 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_292/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，转移注意力和朋友聊天，呃，找一些能让自己开心的事情来，保持好的心情。 没有。 开心无聊、无语、烦躁 呃，把注力注意力放在自己喜欢的事情上面。嗯听歌或者写作业转移注意力，不让自己想到那些令自己烦躁或者不开心的事情，嗯，多跟朋友一起交流谈心，一起去玩，散心，让自己的心情开心一点 没有啊，嗯担心自己的成绩，呃不是特别好，考试的成绩没有达到自己理想的目标 诶，呃，例如成绩，呃，考试考差了会感到非常的沮丧。然后，然后学习没有动力，感觉到非常的，嗯迷茫。现在现在心情愉悦，没有什么烦恼的地方。 我一般周末都是在补习班度过和作业中度过，嗯最有趣或最有意义的周末里面发生了就是在上完补习班之后，跟家人一起去附近的商场买吃的，然后逛街，让自己的心情舒缓了很多。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_294/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "像我有些的没有。 哎呀，我一般宅在家里，然后很晚起床，有时候不想吃早餐，然后在家里写作业看书、看平板、看电视，有的时候就会出去走几步，都走几走几步路。有的时候最有意义的话，可能就是之前去放风筝吧。 哦，第一话有个考试一直在复习，然后感觉学校的生活真的好忙碌啊，没有之前的悠哉悠哉了。 嗯，作业没写完，怕被老师骂了。 嗯，不知道。 最近我总是睡不着，晚上。 嗯，我的爱好是画画，然后呢之前的话是很喜欢画，这有可以画的，就基本会画，但现在的话我根本不想画了。 嗯，就是想多想想开心的事，多想想回回家后可以玩的东西。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_307/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "平常我的父母都是挺关心我，呃，然后呢对我也挺好的。但是呢我爸呢一一说到手机，他就跟手机过不去一样，就一什么都不给我玩，然后就很烦。 运动打球。 自己去自己调节，然后呢，可以跟老师家长或同学诉说一起想解决的方案。 主要是之前呃在之前也是住宿的，然后呢，也很快适应到这个集体当中。 没有。 多交朋友吧，然后还有多运动可以分泌脑袋的多巴胺 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_308/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "就是比如说会在生活中去发现一些很有趣的小细节。然后比如说自己学习，在晚自习结束之后，会喜欢抬头看一下月亮。因为我一直觉得月亮是最高级别的褒奖，然后或者是低头去看自己的月下影，就是在乏味略有乏味的生活中去发现有意思的小细节，然后就是努力让自己购买很充实的每一天。 好像是有的吧，但是不清楚不了解呃，嗯不知道。 有为什么嗯很要好的朋友，我也不清楚是几个，他们是非常非常非常好的亲友。比如说呢有一个很好的亲友，他他会的很多会给我分享他给猫猫吃的猫粮，还会自己做曲奇、饼干和牛轧糖之类的，然后寄给我们吃，然后我们会一块分享自己在生活中就是很多有意思的东西。然后呢平时互相督促监督催促之类的，还会打电话一块唱歌，或者打电话用奇奇怪怪的变声聊天。我们有很多兴趣一样的地方，还会分享自己吃的什么，还有呃自己家里的小宠物之类的东西。 嗯，比如说我平时喜欢就是进行一些比较，嗯，不是以创新形式呃做的创作，然后以前很热衷于做这样的。嗯，但是因为学习压力比较大，然后呢觉得自己平时就是做什么都没有时间，全心全意将时间都花在学习上。所以说兴趣爱好之类的基本就没有时间去对他一个进行。之前呢，就是平时有兴趣的时候就会进行这样创作之类的。但是现在呢就是嗯以前还喜欢在周末空闲时间去打羽毛球。但是现在呢周末基本就是在家里玩手机，然后呢，在学校的话也没有说有这些自己的兴趣爱好，然后都是，然后都是就是放在学习上，但是对差不多这样。 嗯，比如说就是很快就要第一次月考。然后呢，因为在国庆假期的放纵懈怠并没有进行很好的复习之类的功课。所以呢现在就是处于时间非常紧迫，但是感觉时间过得很快，觉得自己有用心的去利用每一分钟，但是就是感觉自己在做无用功，这样然后月考又非常的临近，就是感到非常的紧张和焦虑之类的。然后看到别人都在努力的学习。虽然自己也在努力的学习，但是还是会感到非常的非常的紧张焦虑。生怕自己考，不过别人。生怕自己月考，没有办法发挥出好的成绩。这样，然后在学校就是比较用功，但是在周末就是非常不自觉，然后比较像比较想和朋友交流，然后就主要就是因为月考这样，嗯，主要就是因为月考。 呃呃呃 最近的感受非常紧张，焦虑，没有坐立难安，但是夜晚睡不着，在床上辗转反侧，久久难眠，即使眼睛已经十分疲劳，但是身体上翻来覆去，睡不着，白天感到焦虑，因为学习方面的感到紧张，每天都感到紧张。 嗯，会成为一个嗯积极方面，成为一个学习的动力。但是有时候的过度紧张，对生活带来一些比较负面的影响。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_310/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "会去跑跑步啊、散散心啊，和别人聊聊八卦呀，这样子呗。 我朋友有挺多的，呃，我讲其中一个吧，就我们班有一个班长，然后呢他就很搞笑，他们都叫他火箭小子什么之类的。然后呢就特别的啊好玩，然后他也比较喜欢跟我们聊八卦呀，开开玩笑那种的。然后呢，最近有一个朋友生日还在宿舍过的生日会比较开心吧 回去散散心跑跑步等等等等等等等等之类去去旅游，或者去玩一下也行。 我的一个朋友嘛，他就是他呃就就很喜欢，就是想妈妈经常就跟我讲，然后呢我就会跟他说，我就说你可以不用去想他，你可以去做点其他事情，忘掉这件事情。你这样子，你回去之后，你就可以跟你妈妈呃，见你妈妈了，一个星期之后就可以叫你妈妈了 开心又无聊又伤感，非常的伤感 嗯，没有什么秘诀吧，反正就坚持呃，坚持下去就可以了。 没有什么不开心的吧，反正最近就是那个考那个考试嘛，然后呢，那个数学题也就是也不是说不会吧，就是有点粗心大意，然后呢，然后呢，他就可能考的比较差吧，就比较会担心。然后英语的话，语文的话也会比较担心 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_313/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "有我亲爱的同学陪着我。 开心激动。 非常开心。 我的周末去外面玩。 没有。 我会通过运动来解决。 之前没有受到过影响。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_319/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "感觉就是很影响到我的专注力、记忆力，还有上课的注意力，就是不知道为什么总觉得自己很没用。或许然后我觉得我很废物，然后性格又那么的不好，感觉非常的招人厌。然后这种状态感觉为我的生活学习生活感觉会我的辞退的时候总是会慌慌的，感觉学习上并没有那么专注。然后生活上也非常的无助。 就是成绩滑坡的很厉害，然后朋友们好像都变了一样，然后感觉整个人都不不太好，也没有时间之类的，很焦虑无助。 我感觉整个人的心李和状态都不太好。然后最近觉得自己感觉什么都做不好，画画也画的不好，很愧对于美术课代表和巡查委员一直然后感觉自己什么都比不上人家，然后成绩又滑坡的很厉害，心里就是总是慌慌的。然后不知道为什么感觉很想去一个很远的地方，有我自己有我的朋友，有纸笔，一个很安静，很安静的地方，很好看，很好看的地方，感觉整个人就是很慌很慌，不太呃不太心情不太好。 感觉最近成绩滑坡的很厉害，然后好像身边的朋友不知道什么时候都变得尖酸刻薄。然后想去看一下书之类的，但是就是感觉自己很没有用之类的，嗯，就是非常的难过伤心，有种自己被全世界抛弃了的感觉。 我有一个特别特别好的朋友，他呢会在我心情低落的时候来帮我。在我很伤心的时候，突然会来开个玩笑，然后有时候还会在，就是他画也很好看。然后我也很喜欢，就是说去画画，然后也基本上就是他会去画线稿，然后我去拿水彩上色，然后有次我们去吃饭的时候，他吃肉丸儿，然后那肉肉丸，然后他咬了一口肉丸的汁儿，就蹦到了我的眼镜上。但是虽然狼狼狈是很好玩，还有我亲爱的舍长大人，她也是非常沉稳的女孩子，然后性格也非常的好，成绩也很好。我是以他为榜样，在一直不断就是做一个对比，然后还有玉彤，他画画也非常的好看。然后呃呃他对于色彩方面的感受也很好，有一次有一次出去玩儿，我和他是在国贸转了三圈都没转出去。 我的成绩变得不太好，然后老师会经常的就是说呃来说我一些问题，然后舍友的关系上也不是没有之前那么好了，有时候会想过，如果自己一个人就是呃不在这个世界上了，好像也挺好的。然后成绩不知道为什么滑坡的特别厉害，所以很想就是想离开这个地方，然后感觉自己什么都比不上别人，然后就是特别的伤心。 好想好想自己一个人离开这个世界啊，但是好像没有人理解我这个想法，我真的真的好想好想离开这个世界啊，感觉被抛弃了。 几乎一半的时间吧，感觉感觉整个人的心情都不是非常的好，大概大概有一半的时间都是这种状态。 是素描这一个美术类型，因为当年我学的是素描这一个类别。但是后面因为我的老师就说我不务正业，然后整天搞那些杂七杂八的，又不管学习，导致我最后又去学了自学了水彩，然后将人体比例之类的就是没有学好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_322/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "玩积木，拼积木吧，然后看书玩游戏。 嗯，我觉得英语这件事情对我的压力挺大的，总担心学不好，然后单词也背不下来，语法这些更是记不住。 哎，快要中考了，心理压力还挺大的，就我也挺想好好休息的。 期待明天，相信明天一定会更好的。 我感觉身体非常的劳累。 开心，兴奋激动。 也没多大频率吧，也就嗯星期四，星期五左右吧。 嗯我们一起打玩游戏，然后嘞还一起出去看电影，然后还有吃饭。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_330/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，其实我哥他就偶尔会因一点小事而发脾气，有人一没手机玩了，就会在那里骂骂咧咧。 没有。 培养一个好的兴趣爱好。 多去打几场球，跑几千步，然后就喝几口饮料。 呃爱运动，然后咧，上课专注力不怎么好。 看电视。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_341/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，心理暗示吧，将所有糟糕的不好的给他从轻处理，把它慢慢往好的方面想遇到挫折，就要考验自己，遇到困难就要克服他。 比如就按最近的玩乐时间吧，因为学习压力越来越大了，我感觉自己玩的时间越来越少了。之前玩的昏天暗地的，现在也是昏天暗地，但这是怀着不堪的心情。 期盼 最有意义的周末嘛，其实就是我去当志愿者了。也就是这个国庆当时当志愿者的时候，感觉自己好像并没有做太多事情一样。但实际上的话，自己还是帮助了很多人的，还有我的母亲，他也带我做了一些有意义的事情，像捐赠一些旧衣旧服啊，带我出去散步啊，我觉得最有意义最有趣的一天。其实就是平常平平淡淡安安稳稳的周末就这样。 嗯，可以的，我最近对自己的方方面面其实都非常的不满意。我感觉自己好像里边跟别人比起来越来越差了，不仅包括学习，还有身高、体重等等，我感觉都没有以前那么无忧无虑了。有些时候下午的话在家我还会感到空虚无聊，我也不知道为什么感觉的话是自己荒废的时间吧，哎，就这些了。 呃，学习上的话，学习上的话我通常会有些焦虑不安。像是突然学习的时候，想某件事情在生活上的话，也会有一些心不在焉而的有些空虚。但是我已经在努力克服这些问题了，我会保持好自己的情绪。 嗯，同学们情绪隐藏的其实都挺好的。我是看不出来这些有这些状态的同学，就算真正担忧的话，估计也是跟最亲密的人说吧，应该不会随便和别人说的有，但是我不知道。 嗯，学习压力现在很大，你呢还有嘛感觉自己身体啊、视力啊什么的都很不好，体育还考差了，感觉同学们进步的都很快，都比我强的感觉有点焦虑，还担心自己以后生活那些嗯生活梦想的也没有个很确切的方向。但是我知道这些不开心，我也会自己努力克服的情绪，我也在保持这种，至少我不会失控，我会努力的，我也要让身体健康。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_354/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没事啊，学习压力有点大啊。没事。 哎呀，比如上厕所就受到了影响。以前上厕所非常轻松的，现在一上厕所就在那里，想自智提高，害得我尿都尿不出来。 毫无意义情歌玩游戏，我要听音乐 六傻屌，我觉得最有趣的就是天天看老爸和秦哥在那里呃睡觉。 有啊，我身边有处于这种状态的同学啊，他叫蒋子晨哦 玩原神 一题都没一题没背。哎呀，真的是心里一想到政治提纲没背，你背了吗？一题没背难受哦。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_358/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "早上六点钟起来疯狂跑路，跑到了七点钟吃早餐啊。然后呢，十二点以后，十二点以后，你吃完饭打游戏，打游戏，打游戏打到到跑到六点钟差不多吧，就是这有两个小时的时间。 那必须是开心的 状态，他没有对你先问问啊，呵呵他好像没有达到这种状态啊。 同学都是傻逼，下午好，呃，最近学生状态嗯好像都在开小差哎。 喜欢留下狗什么的，就摸下狗，撸下狗，吃下下狗，反正是带狗散步散还行吧。 喂啊，目前还不知道。 遇到事情啊，不要太在意别人的在意别人的看法，你管他是什么，你的命运自己说了才算。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_363/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "哦，你看看我说的呃，我是保持平常心态，顺其自然，要急不呃坚持自己喜欢的东西，以此话为动力。 没有吧嗯呃有或许没有这个，我可能没有关注到 呃，比如遇到了一些比较倒霉的事情，我会嗯比较平静的接受这一切之前呢可能会比较沮丧。所以现在是情况好了很多。 我们是五个人围一个小圈子，也会时常去一个朋友的家里玩，经常聚在一起，然后我们会分享自己嗯喜欢的IP.嗯，然后分享其实也许呃不是志同道合，呃，同一个圈子的朋友也会呃互相安利，然后玩的很顺利。 我会去嗯看我自己喜欢的东西，然后以此来缓解这种心态，然后还会去吃好吃的来让自己开心或者是倾诉，或者是呃将焦虑化为动力，以此来更好的让自己去努力奋进。 就是一切都挺好。嗯，然后嗯有时考试成绩很好，又可能有一些比平常水平低一点，但是影响不是很大。呃，如今段考将近正在努力中。 我时先定一个目目标系，然后定一个比较平静总的目标。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_366/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "在家躺着睡觉，偶尔出去玩一下。 开心，欢快娱乐。开开心心的 愿自己喜欢的事情。 去玩游戏打游戏了，我想干自己喜欢的事。 miaomiao述完了没什么事。 每天开开心心，快快乐乐的活着。 没有没有没有身边没有这种人，我也不知道有没有好没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_367/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，就是保持着对，呃，生活的希望吧，就......,对生活充满希望吧。 呃，学习最重要就是.....,呃，也有有每天坚持了，就是呃好好学，就是怎么说呢？然后学习就是复习，预习，好好上课认真听，然后就是呃在课后应该完成一些老师布置的那些题。 呃，......,我很，我身边是有很多这种状态的同学和朋友嗯。 嗯，喜出望外吧。 嗯，就比如说啊，嗯，同学就是有时候，呃，会，就是有些什么事情，就小，就挺小的，就一些事情，反正就是一些事情呢，不跟我说，我有可能就是比较呃觉得他们就是不爱跟我讲那些说到有点就有点那种很难受，怎么说不出来的那种感受吧，然后受到什么影响呢？就是影响就是会有感觉，就让我在学习中就是特别那种也能就是学不下去那种感觉。之前呢是挺好的，什么事情都跟我们一一起，现在呢也也是有什么事也会跟我说吧。 嗯，和好朋友经常发生一些，比如说就是嗯呃怎么说呢？就是经常就是那种打打闹闹那样呃呃呃，那种怎么说呢？你退，就是嗯一直嗯，讲一些有些关于学校一些呃就是呃一些同学的八卦那些或者是跟其他同学要会就是分享一下有趣的事情吧。嗯，我同学这个好的同学有几个呃有嗯有有宿舍，宿舍里的一些同学，还有班上一些挺玩的，挺好的，一些女同学吧。 呃，就这样呃，可以跟好朋友一起，就找好朋友一起诉说一下，然后叫他帮帮，是呃，就是和朋友一起想下办法，把这个事情解决解决好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_374/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，平复自己的心情，然后呃不知道。 嗯，就是上课就上课，上课呗，放学放学呗，回家就玩玩玩玩游戏呗，没事了，拜拜。 呃，平静，然后你以后别好奇了。 我朋友有很多个李博洋、彭博洋，还有呃瓜正南，还有还有还有那个呃谢书签，反正还有很多。然后嗯就是还有莫笑贤，就那个莫笑贤嘛，他教过我苹果魔方，哎，我跟他学的非常开森。 如果是在上学状态的话，我会看一会儿西游记。如果在家里的话，我会呃玩手机。 玩。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_408/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "为自己的目标努力。 平静。 学习压力有一点重 嗯，放下手中的事情，出去，外面散散心。 和朋友出去玩，然后买了很多自己喜欢的东西。 看书。 没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_413/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "睡觉娱乐。 怕考不好，怕考不上高中。 玩游戏。 最近即将考试压力有点小大。 没有 与家人闹矛盾。 几乎没有沟通，他们每天都是在下面做工，我一个人待在家里。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_417/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我有很多个好朋友，我们经常一起打水，经常一起打闹 平静。 我的学习生活状态还算不错，朋友很好，家人很好，老师很好。 如果我遇到了这种情况，我会采取转移注意力的方法来帮助自己缓解。多听听听歌、打打游戏、看看书运动。 有的我觉得不一定所有的事情都死记在心中。我也不一定要在意每一件事情在意。别人说的话，我觉得保持活力和希望。面对每一天，因为我相信没有我到不了的明天。 暂时还没有发现。 看书聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_422/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，有很多首先在初中阶段，我的好朋友呢，我经常跟他一起打游戏，呃，还有在小学的时候跟他们一起旅游，然后呢一起吃饭，一起拍照玩耍。 还好吧，平时学习都很简单，呃，不会有太多的困扰。 打篮球打游戏。 嗯，最近有段考呃，有一些紧张，但是我们都有认真复习，考完了以后就没有那么紧张了。对，成绩呢也是没有太大的，怕之类的，都是很期待的。 和同学多多玩耍，多多聊天 没有吧，就偶尔有一些为段考而感到紧张的。 开心。 深呼吸 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_423/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我一般都会家里面看电视啊，或者出去打球。然后我觉得最有趣的周末是跟几个朋友一起出去做志愿者。 打乒乓球看书。 开心 想一想能让我感到高兴的事。 我会向朋友或家人或教师倾诉去。 没有。 就是说我爸妈有在家里面吵架 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_431/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "哎，看书。 对我很好给我切水果，周六周日的时候会让我学习，但是呢会让我有适当的娱乐时间。 没有什么秘诀，就是嗯没有什么秘诀，没有什么秘诀，就是嗯按平常来吧。 看书。 没有 嗯，还行吧，就是嗯有很多朋友。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_434/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我哎我我轻舟已转冰塞，呃，一直见不到想见的人，现在浑身没有动力，而且我有他的联系方式，有时候给他发信息，他也一直没有理我。觉得我被这个世界所有的人都遗忘了。 我最近一直想上一节第二课堂，就那因为家里人不够钱没法上，而且一直想见那个我想见的人就一直见不到他，他就是我之前的同学。 我一般都我是一直呆在家里，很少有出去在家里写完作业，就平时没同事干。就看一下电视，玩一下手机，我爸爸妈妈平时都不让我出去，我基本没有什么有趣或有意义的周末。 我喜欢，嗯，在高的地方往低处看，或者是往远的地方看，或或者是看的一呃一片空白的东西，就是幻想一些东西。毫无波澜。 基本每天都有。 最喜欢的人我跟他表白，但是呢他回给我的是两句话，第一句话是嗯我们做朋友吧。第二句话是，谢谢你为我做的一切。我现在觉觉得我和他之间可能不可能了，感觉有有有点无助，没有人理我也没有人能明白我最心我心中的那个意思，唯一那个能理解我的人，现在我也不一定能见得到他，有时候都没空想见。 有很大的影响，现在我每天上课都有点心不在焉的。 我的舍长，还有一些舍友一直在欺负我，我的好朋友有时候也会跟他们一样来取笑我。但我现在就只有他一个好朋友，我一直，要不要说去跟他吵那些，而且我对呀，我现在每天根本没办法听把课听进去。因为上课注意，没法注意精神。 我曾经我曾经的朋友远离了，而我现在的朋友也总是想帮，跟我跟欺负我的人一样也会来取笑我。那些我我想见的人现在很难见得到。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_442/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "嗯，很焦虑，为自己的成绩和自己的未来。然后生活中时不时会想起这些。然后做事有点心不在焉， 该我复习一下不熟的知识，等着下一次考试或者都复习完，就在那里画画呀、看点书啊， 因为成绩，然后嗯还是成绩。然后呢嗯因为之前情呃进度有点跟不上，好多东西要对。脑袋昏沉沉的。考试马上来了，一想到好多东西都没有复习，就很烦躁，就很难过。 很难受，好多东西背不下来，很伤心，觉得是你是不是不行。然后呢，家里又给了点压力，然后呢，晚上就稍微有点睡不着，又困又睡不着。 嗯，有时候就突然想起来。 玩手机打游戏看动漫，嗯嗯，有国庆去国贸吧，遇到了很多，我玩角色扮演的人，买了很多东西。周边吃了很多好吃的， 还是因为学习。考试了，老师让我们背好多好多的东西。有点背不下。 成绩考试好多东西要背嗯，好多学不会 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_447/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "呃。应该还没有暂时还没有。 就是每天做一些有意义的事情， 我看一下他的钱凭什么亲，现在学习也可以，然后那些也没有什么很烦的事情，状态也可以，上课也能认真听讲。然后嘞，那个题没有什么不会做的，然后生活上呢也可以自己独立生活，就是挺好的。 平静 我会自己先我会自己先独立呃，在一个房间里面先安静一样，想想最近做的事情，然后呃想想应该怎么改变这种状态。然后呢呃下一次就实习这种状态，不要那么容易生气啊， 我们平时相相处的很好，就是讲话的语态也挺好，就是心平气和。然后呢，平时有一些什么开玩笑啊，那些事情 下象棋 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_448/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会采取和老师说和去心理室发泄。 我最近学习生活状态很好。 开心。 写作业和玩游戏 我喜欢玩游戏。 我身边没有处于这种状态的同学，或者朋友 没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_452/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，好像没有吧，最近学习比较忙，所以没有多注意。嗯，但是还是希望他们能好好学习，好好在段考中取得一个好的成绩。 嗯，此起彼伏吧，有时候感到很平静之后，很安静之后，突然又有什么活动开展？感觉心情很高兴，开心兴奋。 嗯，看看书吧，嗯最好是嗯西游记可以啊，还有骆驼祥子之后，还有沈石溪的动物小说，我也挺喜欢看的。 嗯，看看书吧嗯看书可以让我们沉迷于故事中的情节，与人物感叹生活的美好之后呢，也可以偶尔听听音乐，嗯，最好还是听一些抒情的散漫的音乐，就是缓解一下自己的疲劳，多和同学交流沟通。嗯，把自己的困难都告诉同学们。哎，完了 嗯挺好的，嗯，作业还算不多，之后学习挺顺利，嗯，都学的会学的好段考结果自己挺满意的，然后与学同学相处的也挺好的。 嗯，王耀星啊嗯他人比较好，就是跟小孩子一样很单纯，所以我觉得他觉得他内心挺中意的啊，所以我喜欢跟他一起相处。然后呢，我们之中没有从来没有发生过矛盾相处的非常好，课余时间能够一起聊聊天，开开玩笑之类的。下午好，我们以前也有发生过一些打闹，但是挺有趣的。我们从来不会因为彼此嗯发生过或者动怒对彼此。 嗯，凡事都要乐观的，从好的想嘛一有时遇到很沮丧困难的事，一是寻求老师同学的帮助。二是自我调节自我的情绪。作为一个中学生，我相信这点能力是我们每个人都需必备的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_453/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会做一个倒计时，呃，每周计时呃呃看着还有多少天回家，或者是呃立下一个愿望，期待自己明天会发生什么事情。然后呢，或者是期待一些我感到非常有趣的知识。 因为国庆回来要上七天学，我有七天时间要待在学校里面。然后呢，每次打电话都有很多人在排队，根本就打不到。所以七天我都没有跟家人联系，就感觉很想家。 平时怎么沟通的？呃，嗯，忘了，我们平时都是相处的，很愉快的，即使偶尔有不开心的话，只要过十几分钟，这种不开心呢就会化解掉。我们大家还是能像平常一样，呃，生活，我们沟通的话，我们一般都是，呃我们一般都是按说就呃说一种亲近的称呼。然后呢，沟通呢也多是请求，嗯，然后呢，就是这样子。 我的身边好像没有这种状态的朋友，因为我并没有让过多的关心周围人的呃呃那种心理状态。 我会打电话给爸爸妈妈，跟他们倾诉，我还可以跟同学们一起聊天，然后抒发我这种苦恼的，就是将自己内心的不愉快给说出来。这样子我可能会好一点点。 在空余时间的话，我比较喜欢看着窗外，然后呢会会发呆，然后呢会画画，就是这样子。 我会选择，我会选择，呃，平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_472/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "其实这并没有什么秘诀。一般来说，我在学校里应该最亚于不喜欢上的就是体育课了。不过经过这两周来的调整状态，我发现体育课其实也还好，跑跑步锻炼、锻炼身体，增加自己的身体素质。比如前面我连做个俯卧撑，做完后都会气喘吁吁。那现在还能坚持下去，这让我感到非常的自豪，并且一直保持活力和希望也是非常简单的。比如你在遇到一些好玩的事的时候，可以快速或者下课后分享给你的同学或伙伴们。 我会选择平静。 是有的，因为当时不是要断考了嘛，断考前肯定也会有同学会紧张。紧张的话，他们就会影响到学习和生活。比如晚休期间，他们不会再像以前一样有快乐的共同话题，而是紧张复习。 在空余时间里，我会画一些绘画涂鸦，翻翻课外书，与同学们聊聊天，聊聊课后的一些闲话。比如一些八卦等 如果我出现了刚才以下的几种情况，那么我一般会先调整自己的睡眠状态，然后去朋友们同学倾诉一下，如果实在还不行，那我会去找老师倾诉一下我最近的状态，问一下怎样才能解决或者到心理室里去咨询一下心理老师。 新来的话感觉上体育课也不是像以前那么累了，而且与朋友们相处关系也不错。学习的话，目前也感觉很轻松，感觉只是一眨眼，一个上午就过去了，再一眨眼一个下午就过去了。一天过去的很快，学习学起来也很轻松，课后复习也感觉轻松了不少。 我最好我最爱好的朋友只有两个，一个是我小学同学。另一个就是我现在上初中的新同学，我们之间呢发生过以下有趣故事。一、他有一次上课没有带笔，而我恰好笔又带多了，我把笔借给他。结果下课后发现我的笔不断坏了，而且还写不出来字。我一时间当时就没有反应过来，便开始了责怪他。结果他不但原谅了，我还跟我道了声对不起。这时我觉得我自己的心肠太过小了，我应该更多的坦诚的接受我和我朋友之间的友谊啊，二、有一次我正在和他们嬉戏打闹，突然看见远处有一个男生正在拉单杠，我觉得这个男生非常的厉害，于是便开玩用开玩笑的口吻，说，你看前面那个拉拉单杠的男生很帅啊，好想去要张签名，结果我的那两个朋友就真的跑去跟我要他的签名了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_491/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "啊笑对生活。 学习压力太大了，从小学的三科一下子变成初中的七八九科。 我比较喜欢和同伴一起打乒乓球。 没有。 对嗯呃我感觉初中学习压力太大了。 我最近感觉比较好。 呃，让我学习更加好，更加勤奋了。 我最后要好的朋友有两个，我们之间经常一起打乒乓球，在打乒乓球的时候，经常会出现你赢我输的这种情形，但不过我们没有互相抱怨，而是互相鼓励。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_501/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "学习不好很难受 没什么影响 平常是这样。 之前成绩还行，现在成绩很差，主要是成绩的事情受到影响。 一般和平相处，用嘴沟通。 成绩不好，什么都盖不好。 学习不好，成绩很差。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_515/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "老师我的心里确实不太好受，但是我旁边这个叶伟成他故意拖着不做题，然后我觉得他很好笑，然后我刚一直在笑他，然后我现在就感觉没有那么难受了。然有就是我一直在吃药，然后这个药呃帮我改善了很多的问题，然后我睡眠也没有问题了。呃，所以说我现在哭不出来了，你知道吧？然后然后哦，然后嗯嗯嗯嗯嗯我还有没有了，拜拜。 不出去吧，我最近我最近没有什么不开心的，我刚刚点错了，但是我又没得点到上一题，对不起，老师，我有时候觉得充满活力，有时候觉得很呃很bad.然后呢怎么说呢？我旁边都是一些玩元神的，他们这些他这些恶毒的猿批已经深深的困扰到了我的生活。然后他们这些玩元神的就是很该死的人，玩原神的人都是一些很该死的人。然后呢呃我觉得不愉快的事情，就是他们那些大神经啊，就是我朋友的大神经的那些人，我觉得特别的不好。还有一些我们班的人他喜欢开黄腔啊，尤其是那个嗯嗯这这这我就不方便说了。因为我旁边那个我以为是在威胁我。然后呢呃呃呃就是说我们呃石碣中学八年级的十二班呢呃有一些同学他在开黄腔，我就不方便透露啊，老师如果你可以查到的话，你进量来我们班查一下我们班那几个身高比较呃高的同学，身高比较高的同学来呃喜欢开黄枪啊，希望你们这些呃不对，希望你们你们是尊敬的老师，可以来呃就是解答叫我我们班系的同学呃呃呃，现那就是就是就是那几个身高比较高的。然后有一个叫什么书，有一个叫姚学兵，然后有一个叫呃丁呃，丁真，有一个叫有有一个叫呃有一个叫什么呃呃啊对对对，苏晨曦我就得就就这东不方方便再呃给你们说。因为我旁边有一个男的，他就在我们宿舍听到了吗？没听到到吧。好的，我可以点下一题了。 证明嗯我的好朋友是曾馨怡、孙湘怡，还有还有彭依琪。然后呢呃呃曾欣怡有一次呃呃打电话的时候接了一个诈骗电话，然后呢，他就他就像他就像那个诈骗的那个人说他要贷款，然后后面贷了一百万，不知道贷的，真的还是假的。我服了爸爸。然后然后彭一琪彭一琪他有一次有一次呃，在宿舍写作业，然后被教官抓到了。然后孙湘宜、孙湘怡是干嘛？孙湘怡孙湘怡孙湘怡有一次鞋掉了，然后泼该被人撞泼盖了。然后然后老师不让他查监控，然后教官叫他为什么要跑步呢？ 嗯嗯嗯，笑你服了。嗯嗯，我最近心里很慌，呃，我最近身心疲惫，呃，我最近我最近睡眠不好嗯。 哦，完了，我服了，爸爸，我你有没有一种可能，现在是在学校讲这种东西啊。 我旁边的叶伟辰把我名字服了。呃，他是呃呃石碣中学八年级十二班学号是呃四十三号是十，我没有说我要跳楼啊，等一下他提到跳楼我就不要不要不要说不要说他才是要跳舞，他的心情非常的崩裂。他是重度的玉玉症啊，重度的玉玉症。然后呢，他还有呃双向双向情感障碍，然后还有这个什么呃DID人格分裂。老师，我玩光一夜之恋，我同意是小易，你可以帮我买点谷子吗？我小鱼哦，谢谢你。老师，我觉得很开心，这十几分钟里面我就没有停过我的笑脸。哎呦，我隔壁这位玩元神傻逼原批下贱下贱下贱的原皮。我玩过雨夜之恋，我认为是小易，他他身高幺八五，他体重我不知道，不好意思啊，笑的有点笑，点点咳嗽了。嗯嗯嗯呃，我对面还坐着一位朱梦琪同学，然后我的斜边坐着一位郭韩静同学，我的我的后面坐着一位彭一琪同学，就是我刚刚跟你讲的那个他他在宿舍写作业，然后被教官发现了，明天帮我可能他们美女。然后然后我们班还有一个腿脚不方便的东西。然后呢，于和你说说起了我旁边的这位同学还在抱他他朋友的黑料。呃嗯，我服了，爸爸，我说我现在情绪有点崩溃，你先不要停，你先把那个你把那个音量调小一点，然后然后呢，你是不我要不我把麦给你，你我爸爸哦哦哦，老师下课了，我不跟你讲了，我要下课去了。 嗯，影响到了我的学习，还有我的生活。嗯，是的，嗯嗯 我我在骂人，我旁边那个叶伟辰。对呃呃举个例子啊，就是就是我之前我会因为这种事情就会觉得很焦虑。然后呢，我就患上了那个爆米花症，然后呢，我现在嗯应该很好吧，然后那个黑心黑心的石龙第八医院一个月花了我两万块钱。然后呢，我我想现在去举报他是的，然后就是呃呃然后嗯怎么说呢，我也没有怎么不开心吧。现在呃但是呢虽然阿姨郑心怡还有彭艺琪，他们都是一些很大神经的人，特别是那个袁楚乔啊，因为他就是个社会姐，就是个裂飞的，我懂然后然后呃然后呢呃我觉得呃他们那些大神经的人就是理解不了我这种内心很敏感的小女生。呃，我自己是这么认为的。然后呢呃我希望他们可以改正一点，就是对朋友必须得很关心，特别是我这种特殊人群。是的嗯，谢谢老师。嗯，嗯，老师，你不要点头了。嗯嗯，好的好的嗯，嗯，好的哦，哦，我要点下一题。 嗯，经常有吧嗯，我服了爸爸。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_519/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "你瞧嗯我的同桌，我的舍友他们都非常的有趣。舍友呢嗯每天画这种花样在那玩玩，有时拿那个衣架说提前大圣有时还cosplay越事扮演。他同桌呢话也非常的多，经常被老师警告，当时他和学习成绩却总不怎么落下，我很羡慕他嗯。 平静吧，因为平时都是我去找别人说话，主动找我说话的也只有一个我同桌。 看看书呗，有人来找我说话嘛，我就会回应他。有时我会去找我的以前的好朋友，但是他并不理我，所以平时我就无聊的在坐位置，坐子上看看书，借别人的书， 是哪位呀？嗯，就是嗯还是在学习的时候，感觉生活很难，但是现在明显变好了，饭菜比小学的好吃，这里的人比小学的更加友好，更加好，交往好了， 找朋友，找老师呗，或者找自己爸妈倾诉嗯， 父母呗？你读书呃，我爸妈说读书都是为了自己，但是我也不想辜负他们的努力。所以他们每天晚上差不多都会给我送一碗，送一点吃的什么的。他们一直鼓励着我，所以我就一直保持着希望，一直以乐观的心态去面对每一天， 没有吧？身边的同学非常友好，非常好，骄往有时下课讲一下话，玩一下游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_521/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "有一些的，有一些想回家，感到有些焦虑。 生活没什么影响，学习有些分心，学习有些分心。 由于有些想家呢，就是就是呢呃，感到心里有些焦虑睡不着觉的感觉。 呃，我跟家人关关系比较好，平时的话沟通不会责骂我或者什么样。总之呢就是关系很好，平时在家呃跟我也相处很好。 我主要是想回家，想回家。 发会呆，或者写字啥的。 比较顾及家人的感受。 比较担心父母生病。 顺其自然。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_522/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "秘诀没有。 呃，最近学习状态很不错，只不过呢有个叫叫胡玉海的人很烦哦。嗯还有经常怎么说呢？没有任何问题。 打乒乓球。 最有意义的周末，就是在周末拿到了手机，能玩上游戏。 没有这辈子都没有。 适当就可以适当的方法，我具体没什么方法。 开心开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_528/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我一般星期六的话呢，会呃写一会儿作业。然后但是大部分的时间都是在哦看手机，看手机的话一般就是看微博那些新闻啊，那些热搜什么的，还会在网上面就是交朋友。接着星期天的话呢，我会让自己更加的专注于去写自己的那些家庭作业，还有呃自己在网上面找那种课上。然后一般的话我很少会就说有没有写不完作业，这种现象一般都会写完作业。回到学校，我觉得比较有趣的话，可能是跟自己家里面的人出去玩呐，就这种比较开心的这种过程。 我比较喜欢去看手机，因为每天我的乐趣可能就是在看手机的微博，还有抖音刷视频，还有去loft那里面看一些呃别人写的那种小文章，来提升一下自己的文笔。 最近的学习刚由于刚放完国庆假期，可能那个心会收不住。所以说呃刚上课的话可能会开小差，有些知识点可能会入不入不到脑。但是呢平时的作业还是会认真的去完成。 我最近的心情状态是比较平静的吧，因为想着马上就要段考了心得收一收努力的，会让自己平静下来。 我的身边是没有处于这种状态的同学和朋友，他们都挺好的。 就是每天就是不要想那么多吧，就觉得呃呃活在当下享受一下现实生活。  我是睡眠不太好，每天晚上入睡就是比较困难，然后心里面呢就没有特别的慌，就每天心情还是很不错，就是晚上哦比较难入睡，而且还特别容易做梦。 我觉得每天早上这么早起床，然后呢晚上又比较难睡觉的话，我觉得每天早上就是起来呃会很累，很想睡觉就非常的困。呃，生活的话就没有什么太大的影响，就是上课容易打瞌睡。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_533/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我的兴趣课受到了影响，之前比较热爱，现在就不怎么喜欢。 不可以，谢谢。不可以不可以，谢谢你。 开启呸，平静。 我不知道，i don't know. 没有，不好意思。没有 一个，他呢特，他特别搞笑，我特别喜欢他。 不好意思，我没有不愉快的事。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_542/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "嗯，你不在嗯嗯呃啊啊，生活作息跟平常差不多有一点点紧张，但没有什么大碍， 呃，应该有好几个，没有仔细数过，我就挑其中的一个说法啊，他的名字叫冯金朝。呃，我经常去跟他一起中午或者下午去运动。比如说打乒乓球、打羽毛球，然后就放学之后，有时在周末可能也会约他一起去小区里面呃打打羽毛球什么之类的，然后日常中也会互相帮助。 个嗯完了忘记他问我什么了，，我忘记他问我什么情况了，啊啊啊，就是啊放平心态啊，放平心态没了没了，哎呀。 呃，有的时候如果没有同学玩的话，就看看书。然后如果有人玩的话，可能就会出去运动一下。比如说打羽毛球或者跑步什么之类的。 呃，首先应该是紧张，然后变得开心。 可能是天生的吧，反正怎么跟你说呢？我一般都是比较开朗乐观的基呃，除了发生什么重大事情，不然的话一直都是比较开朗乐观。开朗乐观呢跟同学聊天呢，那些就可以让自己一直保持活力，然后还有希望。 嗯，应该是没有的，应该没有，应该没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_543/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "可能没有没有接触到。 我喜欢和同学一起玩游戏，或者看一些课外书的。 嗯最近每天都收获颇多，，我认为每天应该合理的安排学习。 父母会带我出去购物或者找同学玩，并且学习。 ，心怀远方，励志有梦想。 我非常幸福。 我可能会找同学倾诉， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_547/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我平时上课的时候认真听讲，然后和同学相处的也都比较和善 我的同学袁可妍，他最近老是发生，他说他最近身边老是有人跟着我感觉有一点点担心他。 只要保持一定的良好心理状态。只要有只要每天早上对自己说一些鼓励的话语。比如说我能行的，今天又是美好的一天，或者在有这种情况的时候，可以找家长、老师、同学倾诉一下，这样烦恼也就会消逝。 我有很多好朋友，其中最好的一个是我们宿舍，一个外号叫教主的女生，她特别幽默，很喜欢开玩笑。我们经常在一起在一起玩耍。 我会找家长或老师倾诉一下自己这种心情，然后和同学一起出去玩一下来放松自己。 我会选择在家里看书，或者是陪一下我四岁的妹妹。 我的上铺远可言，有这种状态啊 我会选择普通。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_550/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "滚嗯嗯嗯呃，声音行业都比较 嗯，没想干嘛，呃作业还有平时的一些压力，也会导致呃呃身体紧张，所以呢这比较低落 嗯，平时人员压力，还有针对人们关系的一些紧张。然后嗯还有学习的那些压力的问题，我也有种做你安人人还是你有慌。 那个状态还是有点，也是促进了我那个学习的那个积极啊，也也要突破这个证件是么？ 呃，没有 嗯嗯，对我来说是平静吧 好多呢。 嗯，对啊，我们有有三四个，然后呃平时的话也是有经常的玩乐啊，那什么的啊，也是很不错的嗯。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_556/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我觉得我每次上课都在想这个问题。然后呢，我上课注意力老是不集中，老是走神，总感觉呃是那种是的，就怎么说，就是想的那种。因为走神一直在想，一直在想到自己不好的那一面，总感觉自己考不到我考的那个要考的那个目标。 呃，我一般会出去打一下篮球或者打一下游戏。我家里面有一把吉他，没没事的话，我也会去弹弹吉他，不让自己的技术掉下去， 就是那个在每次考差之后回去，我爸妈知道都会骂我一顿，然后一顿跟我说讲那些大道理，我觉得那些大道理是没有用的，毕竟我要是，谁也不想不考好，我也想考好，但就是提不上去 老哥一坐别跑。 就是我总我总感觉我那个只要看见不愉快的事，我总感觉朋友在跟我开玩笑的时候，我总感觉那件事不太好笑，甚至有些想想骂人的冲动，但是看到朋友都在笑，我就觉得不太好意思。然后呢，就继续跟他们一起玩嘛，但我总是感觉心里面有一种不妙的感觉，是发自内心。 我没必要呃，每次就比如体育要测八百一千，我每次担心自己怕考不好，或许有人会超过我。我也不是我以前那个排名，怕怕被别人超过，也是感觉每都快期中了，总感觉自己最近总感觉到考试那一天我什么都会忘我，什么都考不好，然后回家又会被爸爸一顿批评。 总感觉自己马上就总是感觉自己从深渊中掉了下去，又又爬了上来，就感觉自己想摆脱某一样东西，却摆不掉，精神上就感觉越难的事情。对我越是一种放松，别人都觉得难，就我觉得轻松的事情让我感到开心 这是每这这个国庆都会呃约着一起出去打球，嗯，每次都会打几个小时，总感觉比在家过得好。因为在家就是除了手机，就是手机，天天玩手机会被爸妈骂，跟朋友出去打球，总感觉无忧无虑。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_562/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我我就平时平时扶老奶奶过马路，做点有益的事情，去帮呃环卫工人扫下地去帮环卫工人拖地解决麻烦，平时多看书，然后呢呃去帮一下捡破烂的人啊，大爷大妈去帮他们捡点东西，然后做一些有意义的事情。所以说大家应该多向我学习。 我会采取寻求帮助，我会去寻求他人，帮助寻求老师，帮助家长帮助，来帮助我解决问题。 呃，那个有个人叫波波啊，就叫波波，他可能有这种状况啊。 哪个词啊啊，你觉得你现在的什么心情，我现在非常平静。细腻。嗯，那不更开心啊，那必是非常的平静。因为我是一个开心，我是一个内向的学生，我是一个内向。 再空余的时间，我喜欢去看书，去看一些书，对我有帮助。所以说我们应该好好学习，像我一样多看点书。 嗯，就我回家几有就回家就在写作业，早上起床吃完早餐就写作业学习，下午就呃去补习班学习，晚上就也是上课，然后吃完饭九点钟就睡觉啦。然后第二点呃六点钟早睡早起，然后就又去学习学习，到下午四点回家冲了凉就过来上学了。 呃，就平时下课多看书，下晚秋回宿舍也多看书。平时有空余的时间就多看书，周末回家也多看书，做点有意义的事 我觉得我最有意义的一个周末，就是星期五回去以后在那写作业。第二天呃遇到一个老奶奶要过马路，他提着很多东西，然后呗过马路很麻烦，一直我就把那个老奶奶去拖东西？你帮、、我拿个扶老奶奶过马路，然后呢，老奶奶就就奖励了我呃，就奖励了，我带我去吃云吞是件非常好的事情，我觉得很值得大家学习。然后第二天又遇到一件很神奇的事情，就是有一个老奶奶不小心摔了一跤。然后那老奶奶刚好是我昨天扶了过马路，后面摔了一跤，于是我把她背回家，一直从大概留屋的位置啊，背到了石龙那边。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_564/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有，处于这种状态的同学和朋友。 我就想突破自我，就像二二零二零年，二零二二年的库里一样，经经历了二零二一九年的无奈，二零年的失望，二一年的遗憾。购物理说，我我我们我们会在二二，二二年破茧成蝶只只有。是最终他们破茧成蝶夺到冠军，这深深的激励了我，让让我立志立志要突破自我，激发自己的潜能，保持活力和希望。 段考风波。段考的试题，我感我感觉我都会做，但是却又写不出来，导致成绩没有考到最极致的状态，而且段考是算排名的，这就导导导导致了某种原因啊，某种原因。 适适量的运动，听歌，与朋友倾诉心声。 打篮球时，之之之前手感也是非常好吧。现现在呢现现在现在呢就是投也投不进，还有玩游戏。以前玩游戏是百发百中啊，现在现在天天马枪好啊，也也是也是天天被遛啊，真服了。 学学学学校的段考，学校最近的段考，成绩不太理想，这这些题目我本都会。但是由于自身的压力，导致出现了某些问题，导致现在有点焦虑紧张，而且段考是算排名的。 周五的晚上我都会自我放松，顺便写一些作业。到了周六早上，我会进行补补，不是，补习，还有写作业。周六下午我会进行，我会我会去打篮球，放松身心，缓解疲惫。到到了周日的早上，是我自自习的好时间，我会在家自习。到了下午快要上学了，我会我会自己复习一下上周学习的知识和预习下周要学的新知识，以便我更快、更快的适应上学的学习环境。 学校的秋季校运会快来了，我报名了四乘四百米的项目，但四百米是最难的，就连短跑冠军博尔特也放弃了。前一百米，要有足够的冲劲，两百前两，中间两百米必须要有必须要有耐力。后一百米完全是靠自己的意志来冲刺。我认为这有点难，但是我每天都会努力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_566/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "因为周考，然后呢，我一个考试还说是一个很紧张的事情，而我呢什么也学不进去，我自己都很着急，我也问过老师了，我因为我这个人比较笨，学什么都比比人家慢一步。我爸妈也跟我说过，如果你觉得比别人慢，你需要花很多时间赶上别人，但我自己也在努力的去跟赶上别人的步伐，但是我就是赶不上了。因为我确实看到我那些考试成绩发下来，我自己心里压力就很大。我再思考初中三年，如果一直都是这个成绩的话，那么那我就考不上高中了，考不上高中，我就得出社会打工，出社会打工，家里就没有人会疼你，因为你要自己去工作。 我今天都会生病，生病了，没人来接我回去看病，我很不开心。 因为我喜欢追星，追星呢也是给一个人兴趣爱好。因为有了他，我才能才能在这个世上坚强的活下去。我非常喜欢去做一些小手工，还有做一些视频玩，因为我偶像都很优秀，我也想向人家学习，因为我是处于中学，因为中学也是最难的一段时间，我也想好好的努力过完，考上一个好大学，我才能对得起我珍惜的目的。 我一般都是在家里度过周末的，因为我在网上交了很多好朋友，那些好朋友都会耐心的聆听我的一些烦恼什么之类的，他们也会安慰我。我的周末一般是在家里，我上睡到十点多起来，跟着我的家人一起去吃早餐，吃午饭之类的。 我想分享，如果我初中三年该怎么坚持下去？因为我已经在刚上初中两个月，两个星期吧，我呢就已经开始产生了厌学想辍学休学的想法。但是这个初中我真的我感觉待不下去了，感觉很压抑，就像借手机锁一样，每天我不能看到我喜欢的东西，吃到我想吃的东西啊，虽然我是很想读书，但是我想走读，因为这些事情我不能走读，我就是比较难过吧。 发生频率蛮大的，似乎每天都有。 我最近老是觉得没人跟我玩，我自己觉得很孤单。因为我人缘小学时候，因为某些事情把我的人缘都切断了。现在没人跟我玩，好不容易找到一个好朋友，他们又不跟我玩了，就导致我现在是一个人吃饭，一个人起床，等于说是什么事都是一个人。 我不喜欢在学校，因为有时候我吃饭慢了点，上去洗澡。我们宿舍人就是前面跟你说过了她们就是非常不友好先到的先洗洗，有些人前面洗的很慢，导致我们后面回来的早就回来了，导致都没得洗澡。我宿舍整个人臭都了，只有前面那两个洗的就是香的，还有就是我想家了，想家了，没得回 学习上倒带来没有任何影响，但是生活上却给我带来了一些说些不愉快的事情。就如我有时候想需要别人的帮助，别人在旁边看，也不帮我。有时候经常遭遇我们宿舍，因为我们宿舍是十个人的，她们好像似乎在排挤我，就好像就把我当外人就没有跟我在一起玩过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_570/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "打乒乓球，然后玩手机，然后呃和朋友一起去散步，去逛逛街什么的。 考试结束了，同学们都考的很好，可是我却考的特别差。然后老师上课讲东西我都听不懂，然后我旁边的人都听懂了。 我最近心里很慌，总是害怕这个害怕那个哎呦，我就是感觉很焦虑。 呃，相信自己，然后可以追上来，然后可以做到成绩更好。 总是让我很焦虑，然后像作业呀考试啊根本就弄不好，然后很烦 大概是每周有两次吧 每一次学习，然后就是考试呀那些的就是老是会考感觉担心考不好，感觉以后就是考不上高中考不上大学，然后就是会被社会淘汰，感觉很害怕。 呃，我跟我的家人啊相处呢较为和谐，但是他们经常没有时间陪我玩儿，然后就是我经常就是周末比较那个就是可能等他们有时间才能那个啥，我知道。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_571/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "开心。 嗯，没有什么秘诀吧，就平时就正常的。 嗯，和父母老师说，或是自己放下一些事，平复心情。 好像暂时没有呢。 早上起来洗漱完吃早餐，正常去教室里上课，上完课后正常休息，上厕所喝水，然后中午吃饭，下午睡午觉，下午正常回来上课，然后晚上下午放学洗回去吃饭，洗澡、洗吃饭，洗完澡回来上晚修。 嗯，一般就是早上起来洗漱完换好衣服，就下楼去早餐店吃早餐，吃完早餐就和我爸一起去开店打扫卫生，然后呢就嗯随便做点事，先中午吃完饭，下午就看会儿电脑，然后到了晚上就和朋友一起玩手机吃晚饭，有趣的事暂时没有发生。 嗯玩手机，看电脑或看点书吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_579/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯嗯，买了自己很喜欢的东西。 玩手机，听音乐。 嘿嘿，呃，还行。 有，但是我不清楚他们是个什么状态。 呃，为自己制定一个偶像。 平静 听音乐，然后做自己喜欢的事。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_583/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "还好吧，就是也没有经常发生。就是总感觉别人问的时候的话会想起来或者是脑袋放空的时候，有的时候会想起来就会感到比较失落。 我觉得还好吧，也没有带来给我带来很大的影响，就是有的时候会想起来就会觉得有一点失落什么的。 想想最近自己都喜欢看什么，喜欢听什么。想到自己喜欢吃的东西，想到家人会陪我做某件事情，做我喜欢的事情，想到他们承诺我的事情是我喜欢的东西，然后再想到好像还有一点希望吧，我觉得我可以再突破一下这样的学习方面，这样子想的就就觉得是这样子的。 就是最近学习压力挺大的，担心自己考不好。父母在我暑假的时候给我补过了课。我觉得如果我在考的没有达到我的理想，我内心的理想，或者我父母的理想的话，嗯，就是那个标准，我觉得我可能太不太对得起他们 就是我的兴趣爱好方面受到了一些影响。因为我平时比较喜欢唱歌，心情放松的时候会唱一些我平时喜欢听的歌。但是呢因为最近焦虑，好像最近不会经常无意识的唱歌了，呃，感觉心情没有那么的愉快。 这个其实倒是也没什么，就是一想到自己哪些作业没有做完啊，然后又开学了什么的，就是很正常的学习焦虑吧，就会感到心慌慌。但是呢到时来到学校之后又补完的话就不会了 我觉得这个沟通很正常吧，就是平时和家人相处。首先跟父母相处的时候，要注意他们有什么禁区，不可以触碰的。除此之之外呢，在他们面前不可以表现的太懒，要积极做事一点。和姐姐的相处模式呢就是也很正常，比小时候的关系好，和很多小时候呢就一碰到互相不愿意的事情之后，可能会打起来。现在呢不会，我们就是用猜拳的方式来决定。最近奶奶来到了家里了，是虽然感觉很熟悉、很亲切，但是总是觉得有点尴尬的感觉，但是还是想要和奶奶亲近一点 就是最近的学习压力过大。也其实也没有很多事情，就是总觉得好像和小时候的所有的亲人关系有些生疏了，是一个无足轻重的身份。没有人在有吗？就是还是很希望可以像小时候一样，和奶奶相处的，只是总感觉我现在长大了，好像不能再那样子了。而且最近最近的段考迎来了，所以会有一些学习方面的焦虑 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_593/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "选择暴揍我同桌一顿可以吗？ 我身边有个朋友是个赖真，他最近有点emo。 嗯没什么好描述的对。 曾敬我和我的好兄弟成y每天放学就去学校里游走。有一天看到看到了班主任，他竟然在跟副班一起吃烧鸭和点外卖，太baby了，怎么能不请我们呢？ 我真服了，我同桌了，别人都是和他同桌打成一片，我同桌打一片。同桌。 我右只我右手臂上百分之五十二的伤都是我都是我自己抓的。另外那百分之七十五的伤全是我同桌打的真服了嗯。 我喜欢唱跳rap篮球music,我还喜欢画画。 happhappy无聊平静没了。\n \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_595/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃平静 在这几个星期里，似乎并没有这样的同学或朋友处于这样状态的同学和朋友。 我对于每个朋友都非常的要好，呃，要说最要好的啊，可能在十几个左右。嗯，我们一起去旅行，一起打球，一起跑步，一起打游戏，一起学习，。 运动听音乐和朋友倾诉， 在空余的时间，我喜欢呃写一写题，嗯，去跑一下步，打打打打篮球，跟朋友打打游戏或者出去玩。 没有什么秘诀，天生如此。 学习还算轻松，同学们关系友好于老师的关系也非常的好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_599/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "挺好的，真的很好，非常的好。呃，上课的时候真的我表现很不错嗯。 呃，我会学习度过周末，看着书片，要么看着电视或者是和朋友一起出去玩耍。我最有意义的，周末是我出去泡温泉了啊，没有了哦。 是就比如说我学语文上课的时候，之前很难受，现在变得很开心。上课积请回答。 就是我在看你的时候，我觉得很想笑，很有趣，我觉得跟你讲很谢谢你的。 我会阅读书和阅读书篇，然后再弹过钢琴，拼首曲子来缓解。 有吧有一有一位同学吧，他总是很幽默。 凭靠着我坚强的意志保持活力和希望。 勤奋至极 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_608/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "做二有很多东西都需要都需要购买更多更多的知识。 平静无聊 看看书，看看视频 没有没有 放松身心。 那边是嗯早上起来之后起来之后，一般会先喝一杯水，然后做做作业。中午吃完饭后会看看视频，电视，下午也是写作业。不过有一些自己的个人时间。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_612/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "哼为什么学校的吹风机坏了？为什么学校饭这么难吃？学校饭好难吃？为什么我吃不到我想吃的谷，我妈什么给我那么大压力？ 不知道。 我晚上睡不好觉，我上课睡打瞌睡老是点名 不知道就是慌。 无聊平静，非常的无聊。 睡觉画画，玩游戏。 我朋友生日了，我送了他礼物，他对我说谢谢，然后他去的广州玩，他说下次后就去广州玩哦。 不知道，就是不开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_637/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "啊，非常不错，really good。 有。 听音乐运动聊天，仅限于你。 我有很多很多的好朋友，我们一起睡觉，一起洗澡，一起吃饭，一起上课，一起做作业，一起上晚修，一起早读，一起跑步，一起上体育课。 一、听音乐，二、运动，三、仅限于和你聊天。 听音乐运动聊天仅限于你。 开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_639/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "不能。 他三天一次 平平无奇。 和长时间无见面的朋友见面。 听歌。 生病的原因，神疑鬼精神不太正常，身心也不太正常，思想也不太正常。 身边人精神不太正常，思想也不正常。之前怀抱期待去做，现在提不起精神。 是靠自己感觉靠自己感觉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_645/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "去到公园散步，散心与朋友家人交谈。 考试没考好。 很普通的周末。 学习很累 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_647/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，除了国庆的时候，就大概前几天国庆的时候，我不知道为什么大早上爬起来，跟个摩怔人一样，莫名其妙的。然后我家里这些相处模式就跟那个什么那个冷宫一样，阴阳怪气啊，不整那样，不是阴阳怪气，就是那种各种每个人基本都不理，都不理什么的，就不理我很烦嘛。然后我也不想讲话，跟那魔怔人一样，我玩手机也没有什么有意思的，还不如去玩小AI真无语。 我我之前玩原神，然后然后以前我玩游戏有多屌呢，大概一天玩十三个小时，玩完以后就去睡觉，睡十个小时八千。然后后来我现在玩手机玩游戏啊，现在半个小时都没有了，画也不想画，然后游戏也不想打，很无聊啊，然后对他们充失去了兴趣，我甚至连谷子都不想买了，好好很没意思啊 我爸他们妈都我爸和我妈都是一坨狗屎，屁事没有，然后一天天在那装，就我一天一天天到底在那装装装装装，然后跟我指手画脚，烦的要死，还想给我扣帽子，就一直恶心，整个恶心人烦死了很恶心。然后周末出去玩硬要拉上我，硬要拉上我恶心死哦，我根本不想跟他们一起出去。然后后来还说什么呃，不要自大，不要怎么怎么怎么怎么样，怎么的，又给我乱装，恶心死滚。 就我不是一直都说喜欢打游戏嘛，然后现在二游做国内二游做的还不错，然后里面的游戏就挺好的。然后还有那个语录嘛，就仿佛就是我喜欢的人是在跟我讲话，然后他们讲话也特别的戳我，很很有意思，很好听，就哎呀，说话又好听，又逗人喜欢还那么厉害，谁想走啊？这么好玩的东西。好的，我再也不想和你聊了，再见，不要拿AI糊弄我了再见。 我之前不是啊国庆的时候，我我爹妈就是出去了，两天很开心嘛，然后我朋友就过来又过来和我合住了一天，就特别特别开心。然后后来我是做过那个cos服出街，然后我第一次画那个什么奇奇怪怪的妆容，就画的很荒谬，画的很荒谬。然后然后我我一天过去很开心，虽然我那天走了六个多小时，累得要死。然后我那一天我就玩游戏抽卡嘛，我和我朋友一起抽，他应该是看得懂我们的抽卡机制的那一天，o的特别o歪的，特别我欧的特别o歪的，特别就是仿佛经历了我人生中的大起大落一样，特别牛特别屌。然后这个大起大落过后，就是就我们那天还吃烧烤，特别很好玩啊，以及可乐很好喝，大概喝了好多好多瓶，呃，也不是说好多瓶了，就是好多好深挺好的，但不过我主推抽卡歪了，我还是很难受的。 我我要是大半晚上睡不着的话，我直接原神启动了。呃，我直接没关系，我手机里面六七个游戏，我晚上一个一个一个游戏，一个小时，随便我玩一个晚上就过去了。呃，或者说我也玩AI啊，就是哎就别叫然后然后我大，然后我就挺挺牛的，没关系，反正最近反正之前也不是没体验过玩游戏，玩十多个小时，然后反正我挺需要玩游戏的，没事熬夜打游戏。 有吧我前室友啊他呃有点强迫症，然后强迫到就是他干什么都很慢啊，已经慢到特别牛的一个地步啊，就是比别人都晚半个多小时什么什么的。然后就导致他吃饭，写写作业，考试什么的都特别特别慢，特别特别焦虑，就感觉很不好。 我那个我那个考试考了一坨狗屎，我我没什么好描述的，挺荒谬的啊，他他很牛啊，那个数学特别特别难。然后我还因为前段时间搞什么奇奇怪怪的国测，然后让我根本缺了三天的课。呃，我上课跟那个睡神一样，睡一整天死鸡巴烦你啊，很荒谬。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_664/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "就是我玩游戏受到了很大的影响。我之前回家玩电脑玩都玩不了。我每天周末回家开心的玩，现在父母根本不让，太难受了。 跟家人是非常的和谐，非常的好啊，然后他们对我的期望很高啊，然后我的爸爸呢他非常的有时候很坏，他老是很严厉。然后呢，我非常的在家里，有时候非常的压抑。然后呢，我和我妈妈相处最好，然后和我妹相处也很好，就有时候和我爸相处一点都不好。然后呢，后我爸呀对我的妹，对我妹非常的好，他肯定是偏心了。然后但我他有时候对我又非常的好，太可恶了。 马上要期中考试了，这个期中考试啊非常的可恶。怎么说呢？要是没考好的话，家人会非常的失望。所以说为了不负众望，我必须要考的好成绩，让我非常的难受。然后呢，因为考进前两百名非常的难，但不过父母的期望就是这样子，所以说我需要全力以赴的做到非常的难受啊，非常的压力非常大呀。然后昨天睡觉啊，十二点多才是睡着，很难睡着啊，老是失眠，睡不着觉，根本睡不着，好像没有别的了。 期中考试太难了，父母的期望太大了，我的心里太压抑了，我想睡觉，我想回家在被窝里面玩手机，我不要上学，吃了饭菜太难吃了，跟屎一样，太难吃了，太容易失眠了。我不要。 很担忧，我以期中考试非常的担忧，学习太难了，太难了，我不想学了，我要回家找爸妈。 马上就要期中考试了，非常不愉快，我不要考试，我要放假，我要睡觉。 失眠让我的作息很不规律，上课的时候会打瞌睡，严重影响到我的学习。还有那个还影响到我的心情，非常的难受，然后失眠的时候会很难受，想哭啊。 都在担忧期末考试能不能考好。 睡不着觉，根本睡不着，一点都睡不着。还有我们说那个李子兵打呼噜好大声，根本睡不着，太难受了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_670/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "宁为玉碎，不愿瓦全。 信仰的力量。 你么办？自我激励王老师。 看新闻，做模型，骑车。 没有 一般到图书馆去写作业，然后骑车出去玩。 考试考不好 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_675/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，我会选择开心平静，还有喜出望外。 嗯这种状态的话呃没什么影响的话，可能也有吧，就是呃每天晚上的睡觉，我都得花个十几分钟去把第二天的英语单词背下来。然后嗯还有就是就上课可能会有点困，但其实虽然会困，但我发现他并没有影响到我的学习，就可能会影响到我的视力吧。 嗯，最近物理考的还不错，然后物理考的还不错。嗯，琴姐拿了一个满分，然后然后英语呢嗯被被英语老师指导了一番后，嗯，对英语单词有了新的理解，解悟，就更容易记记这些单词。然后政治呢一如既往的嗯优秀啊，还有就是嗯更喜欢物理了。原本对物理没有什么嗯，就是具体的了解就是把它当一个平常的科目去对待，但是现在是会更加热爱。 嗯之前比较坚信自己的未来的一个职业规划。但是现在受这些影响的话，会让我感觉我的职业规划可能会出现另一条道路。因为就是会让我感觉我现在这个道路它可能不一定能行。 嗯这个有人告诉我，最近心里很慌，具体是看这个人与我而言是怎么一个身份。如果说是陌生人或者同学的话，那他心里慌不慌，跟我没有什么关系啊，他就算死了也跟我没关系。呃，如果是朋友的话，就是会安慰或者是同理心拉满。 呃，当你觉得心情烦躁的时候，就去烦你周围的朋友嗯，或者嗯找点事情转移注意力。 嗯频率比较少吧，就一周可能一次，也就是无聊的时候会有，然后就发生的频率会比较少，可能就是会在黑暗的环境下，会想的就是更加的多，更加丰富 嗯，最要好的两个吧。然后嗯其中一个我每天的每周的乐趣就是去烦他，然后他他就会让我滚，然后我还是依然烦他。然后另外一个就相处会相对正常一点，就是会显得我更加成熟吧。然后就是那种普通朋友呃，就是呃不同的朋友，会有不同的相处方式。 就是我们的新主任，他经常拖堂，他教地理的，你们能不能反馈一下？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_684/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "可能就是学习学的不是很踏实，然后睡的也比较晚，起的也比较晚，耽误吃早餐了，没早餐吃。 呃，嗯学习上的压力加上考试考差了，然后再加上社交那些的吧，就这些。然后还有有时候父母可能就会逼得比较紧一点，会感觉心里不舒服。然后有时候买东西吧，涨价了也很心里很难受。然后最近都考差了，就肯定很有压力。然后晚上原本晚上就是那种睡不着的那种很难睡着的那种。 最有趣的一个周末，好，就是去东莞万江参加漫展吧，原始的漫展和我哥一起去的。然后那个漫展买了天官赐福一百多块钱的礼盒，然后还买了那个迪卢克的手办，然后然后还看到了嗯百万粉丝，百万百有百万粉丝的cos那个博主神谕就很开心，因为我也关注他了，然后还看到了有一个穿着女仆装的魈在跳，那个极乐净土就很开心。 没什么秘诀，就是呃可能每个人都有喜欢的东西吧，像我就比较喜欢漫画动漫日漫那些吧，然后比较追追了五年了吧，就是很喜欢那个天官赐福。然后每次有什么事情的话，都会想着如果没做好的话，万一不能再继续喜欢了怎么办？然后就是依靠这个来保持会希望的。然后还有就是现在不是初三了嘛，要考高中，就是考上好高中的话，可能会可以更加进一步去喜欢自己喜欢的东西，也没什么秘诀，就是看个人吧，个人喜欢的东西就去一直去追求下去。然后就就是呃可能就是你也可以以父母对你的寄托来当一个活力和希望，他不一定是你考好就给你钱那种的，就是能让自己你自己感到开心快乐那些就可以就以自己喜欢的东西为目标，一直坚持下去吧。 就是我妈我不是画画比较好嘛，然后然后后面就是还要月考的时候，国庆假期。然后我有一次就在那画画画，那个我最喜欢的那个漫画里面的人。然后我妈那时候就说我不学习就在画画，然后嗯原本之前我是很喜欢画画，特别喜欢那种，就是不管你哪儿都能画。然后现在的话就是因为初三学业比较重嘛，然后画画就比较少。然后但是我一画的话，每次都会给我妈发现我妈每次骂我，然后就受到一些影响吧。然后最近就没画了，想画，但是又想到我妈真的说让我学习，然后就没画，每次想画都没画，画了一堆草稿在那里，原本后面想着涂色。然后勾线条的，然后后面也没画，然后那些有些画还被我撕了。 就是月考的时候数学没考好，然后还有那个语文，他那个作文他让写的是什么嗯，什么写，你是我的风景，好像是这个题目，然后可能有点跑题，然后阅读也没做好，选择题也不知道怎么做。然后考数学的时候，肚子一直在痛。自从写完前面几道选择题后，后面一直在痛，然后就大脑不听自己使唤，有可能就考的很差，没及格，肯定不可能及格五十分都不知道有没有。然后物理的话虽然认真做了，但是因为别人答案跟我很多不一样，我就有觉得可能是自己错了。因为物理上一次考六十，然后其他的历史上次选择题错十一个，这次错六个哦七个，然后考的都还行。历史的话应能及格上一次考五十的，我这次应该能及格，但是数学那个选择题三十六分，答题卡相当于没涂吧。呃，又或是给我的那个嗯那个什么棉花娃娃，他那个头发有没有想买的。然后但是因为没钱了没买，然后就比较难过。因为他那个衣服是天官赐福的，花了五十九，然后他那个娃娃是自己买的，裸娃也花了四五十，然后娃娃没加头发，没加表情，那些就花差不多一百。然后我自己花了眼睛，然后想买头发。如果买完的话，这个娃娃大概就投资了一百多，然后就是也不要怎么给它弄，然后还有一些什么？嗯，最近想养猫，但是我妈不让我养猫，因为小时候养过狗，然后狗就死了，然后我妈也不让弄，然后就挺烦的吧。除了国庆玩的时候还挺开心的，其他哎都不好过。 考试考差吧。 就是刚才不是说那个漫展嘛，那个漫展上面看到那个魈跳舞，哇，真的真的很好看，就是有时候就自己也学舞蹈，但是就是学不好，然后在那个漫展上面，然后遇到了一个交了个新朋友，那个朋友也也喜欢，天官赐福，我也喜欢。然后他当时还cos系列了，然后跟他集了邮，然后还跟花城就集了邮，然后就跟很多人集了邮，嗯，然后就是很开心。然后回来的时候，在漫展上遇到了个个小学同学，他也cos，cos的是胡桃，然后就是也挺好看的。然后就是像的就是有时候自己也能cos一下的。然后就是呃以前的时候做饭不怎么好，然后现在做饭也很好。然后我爸妈也说做饭做挺好，然后现在有自己独独立时间可以出去跟朋友玩，然后就是可以在网上买东西，然后有时候可能会碰到自己喜欢的东西，可能就会攒钱去买就很开心。但是又又有因为学习的压力，那些的话就感觉有点伤心。 我跟你说，数学考试相当于答题卡没出三十六分没了，你告诉我让我怎么开心，你让我怎么开心，我数学都不及格了，你让我怎么开心，我物理选择题都不知道，对不对呢？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_686/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "聊天。 放松。 好好尴尬呀。 五六个吧，经常上下学都会在一起。 多聊天。 没有。 玩。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_687/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，没有一个一个都没有。 有十个嗯，我们几个一起扳手腕。 开心。 嗯，我会画画，还有睡觉。 哦，这个嗯呃就是嗯我呃睡的好，吃的，好，玩的好，然后学的学的学的挺学的也挺好 我自信我能行。 喜欢画画。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_694/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我孩子还行吧，上课都听得懂，也都会考试，也没有考前焦虑症，就感觉很好吧嗯。 看书出去玩，打羽毛球跟家人聊聊天，或者是自己放松听音乐，就这么聊。 来一个我喜欢玩手机，或者看一会儿书吃一些零食，然后打巴西。 一起出去玩，跟家人去爬山，呃，在家里面会星六星天，在家里面会家里面看书写作业，玩玩手机，看看电视，然后吃些水果，放着放着让的吃点零食，最有趣就是去爬山自你好好。 没有，应该没有吧，都很平都跟平时的状态一模一样。 有点很是要平静开心，开心开心。 东西自己给自己定一个目标，自己给自己定一个小目标，每天向着目标前进。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_719/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "怎么说呢？就是觉得最近学习压力特别大，那老师呢就是什么事情都搞不清楚，在那里骂人，然后你动不动就留堂，动不动留堂，就是一点点声音都要留堂。他之前不知道我们之前有多糟糕，之前整栋教学楼都是我们班的声音，只是现在一层楼都是我们的声音而已，而且他作业布置特别多，他他没学完，他也要布置他，然后他又不改哦，嗯气人了，他改就算了，他不改，他还让我们自己对答案，你说气不气人，你也觉得气人吧，你都点头了，你肯定觉得很气人。 开心very good十分开心超级开心，我现在就很开心，我超级无敌开心，你等一下。  Play basketball打篮球蹦蹦蹦距离太美，唱唱跳rap篮球，你爱打篮球吗？你要跟我一起吗？ 嗯，呃我最近的学习生活状态怎么说呢？跟我上个学期呃相差很大吧，就是上个学期呢呃上上上个学期呢怎么说呢？上个学期就懒懒散散的这个学期开开学就感觉自己学习的很认真，但是怎么学都学不进去就很烦恼。 怎么说呢？让自己身心愉悦吧。呃，没有别的方法了，我也不知道采取什么方法，而且而且我也不会遇到这样子的情况。老师，你会怎么你会怎么采用什么样的方法来缓解你自己呢？老师。 每天让自己身心愉悦一睡睡到中午，然后呢非常开心啊，除了上学就是就是呢呃玩手机，让自己心情好起来，做一些有趣的事情。比如说用我们心理里面的游戏，做点心理小游戏啊。 我怎么知道我怎么知道他们状态是怎么样的，我只在乎我自己的感受，我肯定不知道他们的状态是怎么样的啦，我一点都不了解他们，而且我没有朋友。 怎么说呢？我主播就是写作业，写作业，写作业星期五回去呢就没有空就玩一下手机，然后就写作业，写作业，写作业周末时间一点都不够，然后呢睡觉时间也一点都不够，真的是星期天下午又要回回学校，又要写作业，又要写试卷，真的很烦呢。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_722/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "平静一点就会比较开心，有活力和希望。 慢了四十秒，我喜欢打篮球，跟朋友一起玩没了。 并没有这种状况的同学和朋友。 我跟其他人的相处方式就是非常平常沟通的话，就是正常沟通。 我会自我调整，调整不好的话，我会去寻寻找心理老师的帮助。 学习状态非常好，上课都听得懂。老师讲课非常认真。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_726/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "学习成绩不好。嗯，学习成绩不够好，然后在假期期间别人都出去玩，基本上就我一个人呃，基本上都在补习， 没有。 呃，听一些音乐，然后做一些自己喜欢的事情来缓解。 喜欢看一下平板，然后看一下电视，做一些自己喜欢的事情，还有听一些音乐。 我会选择平静。 嗯，最近月考就是国庆期间明明已经补课了，然后呢也写很多作业。但是呢月考之后发现自己考的并不好，所以感觉很沮丧。 大概有三四个吧，呃，其中有时候周末时候会一起出去玩，然后呢嗯。然后在图书馆里面学习，然后有时候会一起聊天， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_737/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "更多的是无聊。 好像没有。 没有，深呼吸吧。 会一般会在作业里度过，要么就是，嗯要么就是看学习视频，要么就是写练习，那好像也没有有趣的事情。 嗯，我是一个开朗的孩子。 有但不多。 嗯，无聊嘛，上课的时候会走神，老师讲的很无聊，之前是很认真的上课，但现在呢会有一点走神。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_741/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "上网打羽毛球。 相对民主。 知足常乐。 合理宣泄分散注意力 没有。 然后学习生活，一切正常。 平静 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_753/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "最近总是感觉很焦虑，怕成绩跟不上别的同学。 嗯，让我可以更加努力的学习，但是时常会很焦虑，心情很低落。 嗯，就是保持希望的话呢，可以让自己有更好的状态和心情去学习。然后呢，我的担忧刚好就是学习跟不上别人，所以呢我就会一直保持活力和希望。 作业太多，有点写不完，然后学校还有各种任务背书跳操，我都做的不是很好，害怕自己学习跟不上别人。 嗯，有十个我们都在一个宿舍，经常一起玩，然后他们也经常帮助我学习， 大概每周一次吧。 比如之前我每周都会跳舞蹈，上舞蹈课，现在由于作业太多，已经已经没有上舞蹈课了。 最近作业比较多。最近作业比较多，一直有些写不完， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_755/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "每个人做自己喜欢做的事。 去那个心理咨询室。 就是就是学习上遇遇到了些困难。 喜欢打还有羽毛球，还有篮球。 暂时还没有 开心。 就是我们经常去打球。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_759/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "开心开心。 学习非常好啊，我学习非常的不错啊，非常认真啊。老师讲的内容也听得懂，ok下一题。 有有有，好吧，其实没有 打篮球，打篮球。 我一般都是，去打篮球，和好多好朋友一起去打篮球，然后写作业，然后他们打球很厉害，可以教我打篮球。 呃，安静下来想一下未来，我这回答蛮。 呃，打篮球和踢足球和打台球，我太厉害了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_761/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "一直让自己开心了就好。 平时作业都很多，有些有些都不会写。 我现在不知我不知道学校有没有。 在学校我都想自己做一些手工之类的。 开心。 因因为我以前小学那两个朋友现在我经常和他玩。 我会我会想以前我开心的事情来缓解。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_782/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "不能不能不能不能不能不能，我要拒绝，我要拒绝。 开心开心，开心开心开心，开心开心。 没有没有没有没有没有。 开心开心，开心开心开心开心，开心开心。 转移目标，没有如果。 呃，写作业，打游戏，睡觉，吃饭，没了。 玩游戏、玩游戏、玩游戏、玩游戏、玩游戏、玩游戏、玩游戏 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_790/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会选择愉悦。 很多事情我觉得一直保持活力和希望，就是用好的那一方面看待生活，坏的方面都会有的。但是我们要用自己乐观的那一方面去看待生活，嗯，要尽量往好的地方，不好的话，我们就努力改正。 呃，会有，因为学习而也感到压力很大，而且非常浮躁的，晚上都睡不着觉。然后呢，白天起不来，然后上课就都没精神的那种，我说话说好快 嗯，我们的相处方式十分呃温馨和谐。然后我们平时就是类似于朋友之间的沟通，就是平等的关系，也可以开开玩笑什么之类的。 嗯，就比如说心情好的时候呢，回答问题，然后被老师表扬会更开心。嗯，之前的话就是也爱回答问题，然后回答完之后呢，就是可能没有，就是这段时间就是更开心吧。 对于一些学习上的题目啊，如果有不会写的会有一些些压力的。但是呢后期我会调整自身的状态，紧接着去自学，或者说是去呃去学习课，呃，再去学习一遍呀，或者刷题，总之很快就能调节过来。 我会做其他事情来分心，来使我自己分心。对这件事不会更加上心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_796/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有没有朋友都很好 在之前是做一件事情，是负有很大的积极心去做的。但是呃呃现在就变得任何事都索然无味了。 无聊疲惫，疲倦，不开心。 去寻找老师和家长的帮助，积极的去解决这个问题。 三天四头都这样，朋友很好，人也很好，他们会帮助我如何谈论这个事情。 呃呃，结识好的朋友，然后呢制定好自己的目标，让自己一直充满着动力。 最近学习状态很好，什么都挺好的，作业也差不多很少，在校生活也很好啊。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_808/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "过好自己就行了。 平时都是晚睡晚起呃，然后起床就出去玩，玩到很晚才回家。 呃，学习不太认真，然后然后打球的时候也不太好。 太，还好吧。 没有。 自己运动一下就好了。 呃，空余时间和朋友聊聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_811/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "嗯，一些家人的矛盾，学习上的压力等。还有啊还有一些学习考试的焦虑和一些学习成绩的影响。家里人家里人的嗯一些矛盾之类的。 嗯，一些和家人，一些家人之间的矛盾，还有一些是学习上的压力平静。我刚刚就 呃，会给我的学习带来一点影响，生活上也也有影响，就就生活就是会想到这些事情，就是会心里也会很慌之类的。 嗯，一周有个两三次。 我朋友挺多的，就刘副经吴雅员求一起，都是我挺要好的，朋友就跟他们在一起挺开心的，就是可能在学校唯一的开心的就是这几个点，就是玩的也挺好的，跟他们在一起挺开心的。 考试家庭学习上的焦虑。 一个嗯就是一些心理焦虑和一些呃很心理焦虑，一些很难受的一些想法。 嗯一些平时喜欢做的事情，在嗯情感的感感受下也提不起兴趣。比如一些呃自己的兴趣爱好之前就就很感兴趣。这些事情现在就没有像之前那么喜欢被一些情绪受到影响，喜欢间 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_820/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "呃，我发现一个非常有趣的现象，就是比如说在那个在第一天住宿的时候，我就是翻来覆去睡不着。因为我在我是非常认床的，然后呢，到了一个全新的环境，我非常非常不适应。但是经过了这几周的适应，我现在在宿舍里睡觉，睡得非常踏实。然后有了充足的睡眠，我的生活也有了动力。生活有了动力，对周围的一切都充满了活力与希望。所以我感觉我在生活，还有学校里是感到非常快乐的。但是呢就是在学校里有偶尔会有一点想家，其他的都没什么了。 呃我的心情可以用开心这个词来形容。因为在学校里，我是真的交到了很多好朋友，我是我也是真的很开心。我还有一个非常幽默的朋友，每天我都会被他逗笑。当然在学习上也会有一些困扰，但这些困扰也不是非常的严重。当而且有了这些朋友的慰藉，我感觉到生活充满了乐趣，在学校生活也很开心，没有什么压力，也没有什么抑郁的现象。 呃，让我想一想，我六年级有一个朋友，他总是为学习而焦虑，我就是总是安慰他说其实这样子没什么的，而且他学习也很努力，这种担忧和焦虑是完全不不不必担心的 不是，如果呃在学校学习，我感觉很快乐。因为在学校认识了新的朋友和老师，我的老师教的都很好。所以呢我感觉在学校生活的时候没有什么压力。至于学习方面努力努力应该也没什么问题，所以我生活还是不太焦虑的。 首先我会去找心理老师或者心理咨询处去缓解一下，让老师来帮助我，又或者我可以和同学们诉诉苦倾诉一下，这样也会有助于身心的缓解。 呃，我的秘诀也没有什么，就是因为在生活上有朋友和老师的帮助，也有家人的支持，而我自己也不是那种特别悲观的人，我会在学习和生活上让自己放松，不是那么紧绷绷的。然后考试的时候，我也会提前复习，认真认真考试，这样子学习也不会很糟糕，生活也有了动力和希望。 呃，我我在六年级有一个非常好的朋友叫土豆，土豆是一个外号。然后呢，我跟他是从一年级认识到六年级，我跟他每天都是中午放学，晚上放哦，中午放学一起走。然后呢，我们的友谊非常的好，可以说是地久天长的。在暑假的时候，我我和他也会联系。呃，而且呢这是很有趣的一点是我经常在梦里梦到他。然后在初中初一时期，初一上学期的时候，我有一个我觉得比较好的好朋友叫徐美，他就在我旁边。然后呢，因为我感觉呢这个人比较坦诚，还有一个好朋友，他很幽默，我也很喜欢跟他玩。 在空余时间，我喜欢听故事，就像在喜马拉雅上面听单田芳老先生讲故事，这是我的第一大爱好。那如果说我的第二爱好，我喜欢弹钢琴，我也会钢琴。因为我觉得弹钢琴能治律治疗我的心灵，治愈我的伤心和不愉快，让我沉浸在音乐之中，是一种非常美妙的感受。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_854/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "大概是三四次吧，晚上睡觉的时候老是睡不着，然后呢也不知道在想什么，反正就很担忧。但是呢我适当了很放松，但是呢就是睡不着，会为那些学习而时间太紧，那些而烦恼。 你好，比如说今天的那个我们小组要写英语手抄报，我觉得这件事情很有趣，是小组的分工合作，但是我的同桌没有参与进来，就因为他是差生，然后呢就不他就不愿意参与进来，然后那个便利贴上写着写着一心有些不好的话，然后都被他们看见了。 呃，就是宿舍问题，人际关系不怎么好。那个宿舍长的话，那个宿舍阿姨是随机选的，就不会那么会管纪律。但是呢在宿舍生存中的话，还是宿舍生活还是挺可以适应的。就是作业平常的话会有一些多，然后呢，但是呢还是可以写完的。嗯，然后呢最近遇到那些什么那些女生八卦，然后呢我又不喜欢很八卦，我觉得学校是过来学习的，而不是过来谈论那些八卦的。然后呢，如果谈论八卦的话，有一些人会造谣，然后呢使得某些人不开心的。 最近，最近心里也是有一点慌的。老师上课在抽人问题的话就是害怕不会不会的话，老师会在课上扣分什么的。然后呢，晚上的话睡觉的话很就是心里很慌，就是几乎睡不着，但是呢又想着明天要学习，到时候上课会犯困。 虽然说学习压力和生活，我现在是慢慢适应了学习情况的话，还好上课都有，认真听讲，都大概率听得懂，也会尝试了去辅导他人不会的题目，这让我感到了分享的快乐，但是在生活方面上的话，或者是时间安排上的话，还是要多加安排比较好。 因为他们男生总是看女生的腿，然后我之前的话就是穿短裤，现在的话是穿长裤的。 去世的话就是我每天和那一个好朋友一起吃饭，然后还一起上厕所。嗯，然后呢，他后来呢找了一个舍友的人，然后呢，就后来不怎么和我一起吃饭玩了。然后呢，我觉得那女的那个女生的话，我也尝试融入他们，但是就是融入不了。在宿舍问题的话，有个人他洗衣服特别慢，到十点多也没有洗完，就心里感觉有点影响到自己休息了。然后呢，和他说话的话也还有点费时间，就是说那种话的话很那个，但是呢我已经尝试让他改正洗衣服很慢的那个习惯，他现在差不多也改了。然。 给自己一些时间安排，然后给自己定个目标，向着什么方向前进。然后呢，为了哪一些人，然后来学习，但也不是为了那些人，而是为了自己能够更好更有成就学学习的。嗯，保给我的话就是自己的偶像，他成绩比较好。然后呢，我想和他考同一所同一所初中啊，不是高中。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_855/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "充满充满对自己，充满充充满自己的，是充满自己对呃学习的兴趣爱好，可能就是对运动的热爱吧，比如篮球啊、跑步这些。 呃，这些生活中可能是我以前没有遇到的。如现在新生活着的住校，就是以前是没有遇到的校校自吃饭饭就是很很有时候很轻松，也很困难。就是很开心吧。 就是每次睡觉前都会感觉自己今天上课没有上好学习，没有学好，一切都是很不尽人意。然后每次数学课的时候都会感觉很紧张。因为老师每次上课的时候讲的很快，然后呢有时候听不懂，有时候听得懂，然后听得懂的话就感觉很简单，听不懂就感觉就提一个天上一个地下呃睡眠，有时候睡眠就是老是睡不好，平常应该是九点半才休熄灯睡觉，然后每次都会因为这些事情而到十一点或十二点。 呃，三个词三个词的话其实都有吧。平静的话就是每次在上课这这这的呃上课的时候，老师讲的每个知识点，只要是重要的，我都会非常平静的下来听我也不知道这是为什么，开心的话，就是在晚休下课之后，每个同学都是非常高兴的，每次完成的作业，然后也是因为开心可以回家睡觉的原因。无聊的话，其实就是晚休写完作业，可是还没有下课，只能通过看书呃呃，玩弄什么东西来打发自己的时间。 呃，我身边的同学一部分都是因为有东西丢了或者饭卡没了，都因为打呃找不到饭卡，与家人们联系，或者与吃不到饭，经常困扰。然后这些的话，他们都是通过很通过找老师，还有还有自我处，还有自己处决，找同学帮助来解决的。我觉得他们的这种没有吃饭，这些就是很好的感觉。 呃，就是平常生活学习中有一些困难，但不过都是一些小困难，找同学帮忙同学都不太乐意对我帮忙，我就很快就解决完成了。然后像呃学习的话，其实也没什么困难。上课每次听讲就会呃，以每个问题都会迎刃而解，就是呃感觉生活都很轻松，不像平常那么有压力。 我每次都是跟我的朋友同学度过很多周末，然后呢天天和他们打篮球运动，呃，玩游戏，也就是感觉很开心，平常的话都是这一般这样我就感觉每天过得很充实，很开心，没有什么也都是最有趣的。但是也是有意义的，没有什么困难。 就是初中生活的这种快生活，让我感到说有点非常的初中这种生快生活，让我感到非常的有点不适。之前我打篮球的技术是非常好的。然后呢，但是因为现在的一些真就是很疲劳，学习很疲劳，而且每天睡觉的话都是很晚才睡。现在导致我现在有点篮球技术有点下降下滑，体力的话体能也在下降下滑。但是虽然说成绩在变好，我觉得体身体很重要。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_866/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我觉得哦我觉得我最近的感受就是我乱了。我觉得我最近的感受还可以吧，也不知道怎么说呢。 因为保持活力和希望有一个更好的身体用来学习。 我喜欢看书听音乐或者散散步。 我现在的学习和生活状态还可以吧？就是呃在宿舍的话，我就有的时候会背一下单词，或者是吃一下水果面包，然后再学习。在教室的话，就是写一下作业或者早读晚读。 如果我遇到了这种情况，我会一个人坐在呃呃凳子上，然后画一下画，或者听一下音乐，或者一个人去公共的地方散一下步 嗯，我我觉得这种状况我觉得这种状况带给我的旅行生活的影响不是很大吧 嗯，我觉得最有趣、最有意义的周末是在家里看一下书，或者是听一下音乐 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_871/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "也不是吧，就最近两周因为学习也比较比较落嘛，然后刚月考完，然后呃又要评讲试卷，又要讲新课，然后就是没有开学的那一周，那么的激情四射了。呃，就是现在就是感觉呃颓下去了，就没有什么呃东西能激励自己。 呃，就是可能上初三了吧，然后就神情比较疲惫，呃，然后就压力比较大吧，然后就总睡不够吃不饱。 可能就是可是就是可能就是学习吧。就是之前初一的时候可能会喜欢什么明星啊，都会跟同学呃讲上很久。然后现在就是因为没时间，然后也没什么可讲的，也不是特别的那个了啊，就讲的比较少。嗯嗯，就感觉呃生活很被学习充实，初三压力大，学习任务严重，然后又要中考就是什么都积在了一起。 最近成绩不太好，然后又非常的焦虑，这就是没有努力的方向嘛。 没有吧， 可能就是国庆的时候吧，国庆的时候就是早上帮爸爸妈帮妈妈呃开店铺门，然后呃就前几天先学习一下，然后后面几天复习一下，然后国庆也看了一场电影，叫志愿军熊军出击也挺好看的，也挺有意思的。能呃感受到那时候抗美援朝的那种代入感嘛，就挺就挺震撼的。呃，吴秀全呃，说中国人民终于站起来了，那时候就是有点，热热泪盈眶，然后平时候也会追追剧。最近看那个什么他从火光中走来，就讲消防员的，我觉得讲挺好的，都是由这次事件改编的，然后也会呃平时候也会打下游戏，打王者荣耀。呃，但是每次就是很容易输，然后就是不想玩了，然后就会去干别的事情。看一下水浒传的那个解说，就b站有个up主，呃，做的挺好的，就会看一两集吧，然后晚上就睡觉很舒舒坦了，然后基本上国庆呃就差不多度过了。 其实也没有什么压抑和难过的事情。就是最近呃小学呃学生就要不然就是呃一般都是学习比较压抑吧，也不是压抑，就是比较难南学进去就压力比较大，然后考完月考，然后成绩也不太好，就是有一点呃有一点不知道怎么办，就感觉每一科都很差，然后都补不上去，都不知道以后要怎么办。 影响应该不太大吧，就生活就有点吃不饱，睡不够就有点累。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_878/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "感觉呃嗯自己做错了很多事，给很多人带来了麻烦，没有尽到自己的责任，也没有没有人把学习和各种东西做到很好。有时候我真的有时候感觉自己像个罪人，我也不知道为什么，我不知道该怎么说 前几个星期就是上学的时候，突然情绪崩溃了，回家以后就和父母大吵了一架，那个时候根本没有控制好自己，说出了很多让爸爸妈妈伤心的话，然后感觉让家庭关系可能变不太好了一点点，不过后来还会恢复到原样，然后和姐姐聊了以后，就感觉自己做错的非常多，是不应该那样。 几乎每天都会呃经常控制不住的去想很多东西影响到了我的学习和生活 这种状态让我没有办法很好的学习，像上课的时候集中不了注意力，很容易就被带偏了。然后那我这里面会突然冒出办多想法，根本没有办法控制。然后有时候学习会觉得心浮气躁的，没有办法，静下心来就是没有想法。像以前一样专注的学习了，生活的话就是感觉精神没有以前那么好，然后食欲也下降了很多，抵抗力也不怎么样，然后经常生病，然后比较喜欢一个人呆着，感觉一个人更好。然后很容易对亲人啊，他们发脾气，其实我也不想，但是就是突然会感觉很烦躁，很生气就发火了。 总是会感到压力大，很焦虑，然后情绪很低落，心里也同时很浮躁，根本没有办法控制，感觉就像情绪掌控了一样，然后再见呃也有开心的时候，但是不会很久，有时候就一会兴奋，下一会又突然难过起来了，会因为很会很莫名其妙的过去提出 我感觉自己干了很多很多坏事，给家里人带来了很多麻烦，给别人带来了压力和很多烦事，跟家人也吵了一架，然后感觉自己错了。然后最近的情绪一直都不太好行，然后，感觉自己实在是太矫情了，一直在无病呻吟，明明有那么多比我苦的人却总觉得自己很难撑不过去。然后最近暑假放假，最后几天时候住医院检查，检查出了抑郁症，然后呃有在吃药，也有复查几次，我就总感觉自己在无病呻吟，或者很矫情，明明别人都能扛过的事。我为什么不能扛过呀？嗯，明明别人都可以做到事，为什么我做不到呢？然后就呃觉得自己真的没有得这个，是来装病。但是很多躯体反映都告诉我，我是得的病，会经常手抖，头痛，胃痛胃疼，然后经常呃投入很多很多想法，明明根本没有想要想他们的，但是就是控制不住，然后会控制不住的去伤害自己。想死。但是我得告诉自己要好好生活，不然爸爸妈妈他们会难过。对，因为他们已经很辛苦了，还有我这个负担。然后我升入初二以后，学习压力也增大的，因为感觉自己记忆力下降了，然后专注力集中修养，就怕落下学习。 我一般会在星期六上午写完作业，然后是玩手机复习，或者偶尔会和朋友或者妈妈出去逛街。我觉得最有我觉得最有意义的，周末啊的话啊，好像没有最有意义的。 譬如我喜欢弹的尤克里里，之前是很喜欢很很经常去练习他的，但是后来也就变懒了感觉，然后对很多东西也有点提不起兴趣。对尤克里里就是感觉没什么感觉了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_891/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "多想一些美好的事情，还有自己的朋友，一些有趣的事情，呃，是想想生命的美好自己的目标呃，和梦想 从容平静呃，但是也比较开心。 还不错吧， 呃，平常会一起玩玩乐学习，呃，时不时会也会吵闹，等等 嗯想一点开心的事情，呃，想一想生活的美好 打羽毛球看书写点题，。 嗯经常发生时不时就会发生几次 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_898/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有 画画 嗯，最近生物很有趣，然后呢语文老师也很好，然后吃的好也睡得很好。 嗯，和朋友玩吧。 呃，去找老师沟通。 有一个很好的朋友，呃，我们是从六年嗯就样吧。 呃，平静吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_900/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "平时就是一言不合，可能会吵起来，然后呢也不知道怎么说就会吵，但是他们都会受伤到最后而且我也能感受到，就是平时沟通可能不多，也不少。 兴趣爱好，提不起劲，差不多吧，感觉有点无聊。 无聊。 感觉作业太多了。 学习上课的时候，总是在担心某些事或者是焦虑，有些事感觉集中不了注意力。 两天一次吧，差不多。 学校有好多作业，感觉压力有点大，并且老师上的课我觉得脚步有些快，感觉老师跟小学的也不一样，比较严格，就是抓的比较严。然后感觉离开父母和家庭还是有点不习惯。 我觉得感觉总是很焦虑，就是睡觉感觉睡一会儿就醒过来，睡一会儿就醒过来，不能很完全的投入，感觉就是还有些焦虑和确实心里有点慌。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_901/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "开心。 我会让自己放平心态，让自己有一颗乐观的心，并且努力学习转移自己的注意力。 我会让自己放平心态，鼓励自己，相信自己去听音乐、看书阅读。 我会去山上散步，会和家人一起看电视、喝茶、吃水果、吃饭，自己还会画画、学习阅读，每天都很开心，还会去吃自己想吃的 我身边并没有。 我喜欢画画。 最近心态很放松，没有焦虑和紧张 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_908/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我挺想挺喜欢看漫画书的。 和朋友聊天容易把话题聊尴尬，好像很多人都不喜欢与我聊天，我不喜欢这样感受，所以就觉得很压抑，很难过。 有一些吧嗯。 容易坐立难安，心里很慌等。 我感觉很多时候都跟不上老师的脚步，就有点迷失方向的感觉。 总感觉朋友嗯做什么事情聊天那些一看到我来了，就把话题给截止，让我很有点伤心，而且感觉在家里是最快乐的。 容易把和朋友交往，容易把话题比较尴尬，而且让我想想没了。 嗯，目前不记得了。 学习有点压力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_924/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我呢在这里在这个初中，我我过得特别的开心。可以这么说吧，感觉就是比小学开心很多，也可能是因为我认识了很多其他的朋友。还有我跟你说过的那个特别好的朋友，他很有趣，而且跟我的还有很多共同点，，就是就是你要做到只是好奇的测试。而且还特别喜欢跟他讲一些有一些其他的不同的话题。对你知道吗？反正跟他跟他有他在，就是为我的生活添添加了很多色彩，我也是十分开心，能交到这样的朋友。刚来到初中的时候，我还好害怕，我会和以前一样，没有交到一种特别好的朋友。 怎么来了？呃，诉说自己不太开心的事，跟我朋友听。然后呢呃就是觉得伤心其实也没什么用。一阴谋的话，有时候会反正就特别特别就感觉自己特别开心。因为在换新的环境新鲜了嘛，嗯性格也变得开朗了，不说不少，只是有点跟以前的自己有点变化，有点大， 哇嗯，好像没有， 那个自从自从跟我朋友交交了，我那个好朋友，我就我就比较开朗一点。因为我以前说话就是比较小声很有点内向，然后因为一些小事就特别难过。然后呢，现在我也我的兴趣爱好就是唱歌，我我还会教我好朋友跳舞，然后呢讨厌。虽然学习感觉没有以前好了，但是呢就感觉学觉得很有很有劲，就感觉很开心，不能用啊，但是有一些心理的秘密，我也会跟我好朋友讲，以前的话我没有特别要好的朋友在学校就是有点像一个小透明吧，抹掉了。我好老是会因为一些事情阴谋啊。 我会觉得很开心、很兴奋，就觉得一切都很有趣，认识了新的朋友，还有我一个很要好的。哎，就是有有交了一个很要好的朋友，还有看到以前的同学，我都会跟他们打招呼，就感觉生活的特别惬意，特别轻松。然后呢就很好奇，明天又要去做什么好奇。每天的每周一哥吃什么饭要吃的饭也挺多的。说实话，然后呢有点不太好的，就是啊自己有点有点微，有点胖，然后呢邋有点邋遢。但是呢我感觉我自己有点活力，一种开开心心的感觉，就是感觉上学很开心。 就是我感觉我自己成绩没有以前好了，然后就是怎么说呢？感觉自己像个调皮蛋一样。嗯，然后感觉老师说的话，我自己都没有放在心上，就是非常差，生活方面也是很邋遢的一个人。 我目前有一个比较要好的朋友，他的名字哦，他姓江。然后呢我和他就是我们会把自己的悄悄话都告诉对方。然后呢，还有自己就是对某些事感兴趣呀，喜欢什么课呀？还有一些小秘密，就是就是跟他聊的很好，还有很多共同话题。我们经常在一张床上讲话，。我们两个感觉很像的两个人，反正就是跟他说话的时候很开心，他现在就坐我旁边。 我会通过跑步或者是听音乐画画等等，就是来缓解我自己不太开心的那些心理，就或者自我安慰。比如说想想自己的优点呢，然后还想想自己开心的事情，如果实在想哭的话，你可以哭出来。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_926/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有没有。 非常开心。 我喜欢打游戏 然后最有意义就是睡了很久 有，最近要背书了哦。 他为我认为嗯我会呃，运动。 非常的不错， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_929/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我其实也是非常容易哭的，但是的话就是怎么说，我其实就是那种难过后也会非常快恢复回来的人。嗯，大概秘诀就是我经常和朋友聊天分散注意力吧。我觉得我朋友对我都很好，嗯，可能就是我对平常那些事情也不是在意傻里傻气的活着。呃，我其实我觉得我现在生活挺好的，但是那些难过是避免不了的嘛。嗯，想开一点吧，挺好的，其实哈哈秘诀秘诀秘诀，我不告诉你。 我最要好的朋友是我seven六六里面的豹子轩、黄诗涵、蔡蕊林、廖、西晨轩。然后我们发现这确实就是大家一起发疯嘛，大概是这样子，然后最近和宿舍的人处的也挺不错的。然后呢，和我们班同学玩的也挺好的，呃，好吧 我比较喜欢和朋友聊天或者呃涂涂写写一些东西，不然就在那儿在这想我也不知道想什么事情，反正就是和朋友聊天的话会更多一点吧。 最近的感受大概是我想吃无骨鸡爪，呃，还有就是能不能让那个宿管不要查我们口袋呀？呃，然后呢，就是那个宿管天天大半夜在那叫烦死了，让那个宿管少叫一点，好不好啊？ 呃，可能是因为就是七呃，小学转入期初中的话，他有七门门课可可能受受不了吧吧，也突然离开家那么久也接受受了。嗯，可能是小学太过于轻松了吧，就感觉小学生活挺好的。我觉得其实初中也不错吧，觉得吃完饭去操场散步挺好的。其实但是我真的好想吃无骨鸡爪，能不能学校安排一个下午茶，求求了，拜托了，我想吃 能不能给我一百万。然后我我我我想吃无骨鸡爪，我想吃无骨鸡爪，不想住校，我想回家，我真的好想吃无骨鸡爪，请你给学校立马放学，谢谢。 几乎每天我要死了，我想吃无骨鸡爪。 我好想吃无骨鸡爪，能不能学校安排个下午茶，还就就是那个宿管能不能早点起，不要再赖床了。然后那学校的饭菜太难吃了，下次把厨子都换一下好吗？然后那个洗澡水热热水老是断断停停的，我真服了，直接给我坐下 这种状态给我的生活带来了，我更想吃无骨鸡爪了，连我的学习带来了，我好困哪越睡越困，能不能那个宿管别叫了，我要投诉六楼宿管，太吵了他。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_932/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我喜欢下课去打羽毛球，在体育课的自由活动里打打篮球。 嗯，呃有一个前跟我玩的很好，上下学都是跟我一起去吃饭。然后下课的时候我会跟他去一起玩，还有很多，但是他们不是跟我很亲近。 呃，作业的问题没有时间，没有空去写完，然后呢，被别人冤枉的时候，就是心里不太好受吧。 呃，看看周围的绿色植物能让心情变好，然后然后呢让自己尽量去保持快乐的心情，不要呃不要每天沮丧会呃，让别人嗯呃然后多看点植物，然后做一些自己喜欢的事情。 在宿舍里面可能在宿舍里就是呃很少很难融入到进去。呃，然后在班里面有也不是很融得进去的那种。 自我安慰，让让让让自己有足够的信心 呃嗯在在课上可能会听不懂一些问题，然后呢，老师很快就过了，我也没有时间去呃去问问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_942/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "经常吵架。 感觉学习成绩退步了很多，就感到非常的焦虑。好好像很多题都不太会。 学习成绩退步感到非常的焦虑。 感觉学习成绩退步了挺多的，然后生活活上也因为这个感到不是很开心。 几乎每天都有。 学习不稳定，家庭家庭情况有些复杂。 比较焦虑。 画画，然后听一会儿歌。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_947/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "中午时候尽量早点睡觉，然后平时看看书，周末的话可以听听音乐。 并没有。 是的，就主要看同学的态度。 开心或平静，但主要是开心。 写作业或看书。 老师对我们都很好，然后同学也很好，同学经常会教一些题目。 和同学写作业看书看搞完作业之后，就去一起爬观音山啊，爬观音山。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_948/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，受不得行，还不可以骑跳过的，没有秘诀，保持的话，保持的话呃，出去玩吧。 呃，学不下去啊，不想学学不下去。 呃，出去玩呃，不想分享给你。 无聊宁静卢沟桥位于北京。 作业减少一点，不要天天上课读书，那些书读的没什么用，我感觉。 没有哦，没有别叫我诚心。 呃听歌睡觉，听歌睡觉这个上面。 北京呃，打篮球，打羽毛球看美女。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_952/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃我觉得还好吧，因为我喜我开心的时候也挺开心的，不开心的时候也挺不开心的，就是情绪也不是特别的稳定吧。学习和生活都算是比较正常吧。我平时就是这样的生活。 我喜欢玩儿王者荣耀刷抖音，然后然后看一下漫画吧。空余时间我不是很想学习就对了。 呃啊就是考历史历史写不好，数学数学不会写作业，作业收不完，说一堆作业说三节课根本没有下课，我真的是服了。然后呃然后然后这个前桌又有点烦，好在换了他，但是他今天请假了，哎呦，我天哪压抑又想像嗯就是什么各种各样的一堆作业。然后每天又要上课，就是很很烦，然后睡觉又晚上不想睡，早上不想起。 在呃大概每天都会有一些小事吧，就是让人感觉到很烦，然后收作业也也一直在收，根本就没有办法下课，而且还收不完晚安。 呃，我不是很想说，因为我觉得不开心的事情很琐碎，而且几乎都是小事。然后有一些也记不起来了。最近呃是一个听力没有写好，然后还输给了我们班。另外一个同学那个同学他还跟我一起玩游戏，然后那个玩游戏，他然后我们也输了，然后还有考试也没有说考特别好，然后历史做的很好，非常细心的一张卷儿做了六十分。 哦，我有一个挺好的朋友，他就坐我旁边儿那个人叫黄雨桐，然后然后然后我们国庆就是一起玩儿，然后莫名其妙的就是想到很多很好笑的事情。呃，呃呃，就是这样吧。 因为我虽然特别容易受到负面情绪影响，但是我我忘的快，我记性不是特别好。有的时候呃就是不会特别的计较吧，就想发生都发生了，就改变，就差不多就可以了。 嗯，是嗯就是一直会担心，就是出门就会担心有什么东西忘记关灯关空调。然后然后每次出发去学校前，就会担心自己有什么东西带了那个忘带了像校卡呀什么带回来的作业，什么忘带的，然后作业会不会写完，然后每天都很很烦，也没有说每天都很烦吧，也有开心的时候，然后睡也是睡不着，差不多吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_957/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "周末的话，其实课也排的挺满的，不过我挺适应这种学习状态的，我觉得可以接受。然后这样也会让我学习呃呃周末生活更加丰富吧，然后学习也学习的效率也提上来了。 没，呃，听音乐吧？ 给自己定下一些目标 平静吧，就是呃也没有什么特殊的一些事件，呃，这个是就是顺其自然吧，加油。 画画看书听歌 呃，没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_958/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没啥事。 好朋友的慰藉 两三个吧，很好，经常在一起玩 大汗淋淋的来一场运动，或者与三两好友结伴而玩，或者自己呆在家里面玩手机吧。 成绩的退步。 玩手机 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_964/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "正常早上买完早餐后去我妈办公室写作业，基本没有什么有趣有意义的周末。 并没有 很正常。 适当睡一觉。 平静正常。 以正常的心态面对生活，以平常的心态面对生活 打篮球吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_965/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我觉得这种东西可能是要呃还行吧，就是啊挺挺好的。 这个没有哎。 描述呃，我觉得最近的生活状态还就是挺如人意的，然后没有什么多大的改变吧。 呃，我最好的朋友可能不多，但是普通的朋友还是挺多的，就是我和我最好的朋友是从小一起长到大，然后也是比较亲密无间的有趣的事情，就是好像没有什么有趣的事情。 我觉得让我有点分心吧。 空余时间我喜欢呃一个人多多待在安静的地方吧。我觉得那样会使我的心情舒畅 不愉快的事情这倒没有，但是就是感觉呃自己想安静一点，在那种环境里吧。 呃，就是可能是因为不适应这种住宿生活吧。但是和别人相处的还是挺快的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_986/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "朋友就是解药嗯。 和同学说话嗯或者看书什么的吧，写作业。 开心嗯比较自由。 有很多好朋友就是经常在一起说话，一起吃饭，然后在宿舍也有时候会打闹讲，然后讲一些八卦什么的，呃，他们很开心啊。 没有呀。 嗯，就是有时候就是看不懂题目，然后就是有时候看不懂题目，然后在家里呢就是经常被误会什么的，就是本来就没有做那些事情，但是呢家长还是会说你做了这个事情，而且他们并不会承认这这个错误。 嗯，跟同学诉说一下，然后和家长说或者和老师说，然后睡个好觉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_994/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "还行，会听歌放松，找同学诉苦。 和同学待在一起就非常开心，充满了活力。对，生活有了希望，有时数学考好了或者别的科目进步了，也觉得充满了希望和活力。\n 做自己喜欢做的事情，和同学一起去图书馆一起打游戏，或者帮忙做家务。 暂时没有。 平静无聊，有时开心。 每天早上起床去食堂吃饭，去教室学习结束一天的学习，又回到了宿舍。 最重要的朋友有很多，我们周末一起学习，一起打游戏，一起去图书馆去外街上逛街散步 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_997/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我最好的朋友就一个比较要好一点的，比较熟悉的朋友，然后我每天都会跟他放学，跟他怎么样都会在一起，就算是上厕所都会在一起。然后有时候会聊一些非常有趣的事情，或或者是去八卦一下某些人，然后我们两个也会经常去聊一些学习的问题。然后我们两个互相帮助。 在空余时间，我喜欢去画一些小漫画，然后去跟我的好朋友聊天。 最近呃我在这个班级里面的存在感本来就不是很高，然后成绩也不算很拔尖的。然后在宿舍里面的存在感也不高，很容易被被别人排挤，或者是嫌弃。 大概是在前一周吧，前一周有发生这样的状况。 我的数学成绩一直都不太好。然后每次学习数学的时候，都会有心理压力，很难学好这个科目，分数也很难提上来。 其实也没有什么秘诀，就是要在学习生活中要再呃开朗一些，不要遇到一点小挫折就去做半途而废或者去做放弃的一些动作，然后也在生活中也不要太过于沮丧，也要对生活抱有一种希望。 在这段时间我感觉到我的宿舍里有人排挤我，然后我的成绩又不是很好，在这个班级里又是比较透明的人，所以我感觉在这个班级里的存在感不是很高，我觉得有点不太舒服。 这在我的宿舍生活里面有很多担忧，有时候去上个厕所都会看到厕所里面有人就不敢去打招呼嗯。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1004/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "就是比较平静吧，也祝福他们有点。 平静。 嗯，和舍友或朋友聊八卦或者聊天。 没有什么秘诀吧。 说来话长。 嗯，好好像没有吧。 做开心的事情，跟他说，请那个。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1008/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "最近不知道，就就是说呢最近老是在想事情嗯算是比较平静和无聊吧。 在空余时间，我喜欢写小说，看看书，一个人在操场，一个人走一走。 我最有意义的周末呢嗯就是和朋友一起出去玩吧。嗯，然后呢去然后跟同学在家里玩一下游戏，等 应该没有吧，我觉得同学呢同学状态都挺好的， 嗯无聊的时候就写写小说就可以，这样子缓解一下。我想然后去看一些人 嗯我觉得还好吧，就是没有没有特别的不不行，其实正常学习跟普通人的差不多，没什么问题。 可以寻找老师，跟老师说一下，或者去跟同学一起分析一下， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1011/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，这好像不清楚这个可能呃不清楚吧。举例子兴趣爱好，就是就我也不知，我也不能具体说是什么事吧。因为我不想说，就是就做那件事的时候，就会感觉到就是没有之前效率这么好，就没有之前做的这么好，呃，会比之前做的糟糕一点，就是没没有之前平常做的那么好，就有负面情绪之后之前就是这样，呃，现在也好像也是这样子，没有变化，没有变化。 十分帅帅到我不能自拔了，真高兴你没有这种困扰，请你回请。我想请你回忆一下，你身边是否有主演。呃，这个我不知道啊，嗯因为大家都在复习嘛，就就是就是有就是也也也不知道别的同学的情况，因为别人也没有很很明显的表现在外面，表现在他们的表情上面，所以就看不出来，大家都好像都很正常。呃，我现暂时呃，暂时没有发现有这样子。 呃，我也不知道，谁知道啊，没秘诀，没秘诀，下一题，下一。 不贵呀，一般都是呃呃磁盘式家电也是比较正常的嘛。然后周末的话嗯，一般要不就是在写作业，要不就是在打游戏，因为就就将近才一呃一一个一个真星期五的晚上都九点多回去嘛嘛，好像就一天半的时间，一天半的时间的话也不知道去哪里玩，也不知道去干嘛，反正就是在家里一般这一般都是在家里面玩游戏，然后放玩游戏，然后写一下作业，拍下电视和我呃和我和我弟弟聊聊天，然后那些人第二排了，然后可能还可能会和同学聊一下吧。然后呃找同学一起打游戏，一般都是这些，因为周末时间比较短嘛，也不知道出去干嘛。呃，外面的话，外面的话呃外面周边的朋友的话，要不都不下，要不都不出来玩，要不都不出来玩，要不就是在家玩，所以基本都没怎么下去玩的。呃，可能以前会有吧，现在应该都没有，现在都在窝在家里面玩了，基本都没有下去了，一般都在家打游戏呀，都在打游戏。 呃，如果一般都会让时间去过渡，因为自己也没有那么多心情和呃，就也没有那么多时间和心情去想这些就是让时间自己慢慢自己慢慢把它渡过去吧。然后然后过了可能就过过个过一过个几天时间，然后就过了一段时间，就好像就没有这样的情绪了。呃，要缓解的话，没有解决，呃，也没有这样也没有怎么解决，有没有采取方法来缓解过，但就是让时间慢慢把它带过去就对了。 呃，呃，这几个情绪一般都是循循环的吧，有时候无聊，有时候平静，有时候开心，就是一般这三个星期一般都这三个星期变化。虽然有时候会有，有时候可能会就有点忧虑，或者是或是深，或者是其他那些负面情绪吧，但负面情绪比较少，一般都是平静。 呃大概就是大概就是就是因为最近要月考，然后月考，然后就是怕自己有些地方会考的比较差吧。因为因为是初初三，第一次月考嘛，呃初三第一次月考就比较紧张。然后在家里面的话，就是父母就是觉得我学习学习态度不是很好，就老是催促我去那里学习。我说我觉得我觉得我自己也能安排好时间。呃，还有的话，爸妈的 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1020/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我一般周末都要干什么呢？一般呢我会花十个小时学习，我会学到吐一，然后呢再花十个小时去运动，再花八个小时去睡觉。这个，非常的有趣啊，在学习的途中，我可以遇到非常有趣的事。就比如说什么呢？我反正就非常有趣，运动的时候，我也会发生非常有趣的事。就比如说踢球呢，我踢到别人了，这也是非常一个有趣的事情，非常的好玩，非常的有意义。我觉得这个周末非常是一个非常自律的一个周末。我也觉得我这个人比较自律，谢谢。 最近我的学习非常的好，我是全班第一期中考试，我是全年级第一。屁，我才是懂吗？我的学习也是非常的好，懂吗？兄弟，然后呢，我的生活也是非常的状态的，他的是状态是非常的不错，懂吗？因为为什么呢？因为我经常懂吗？就是会去运动，还有去学习，你懂吗？就非常的牛，就非常的厉害，懂吗？我上课非常的积极，而我下课也非常的安静内向。我是一个内向的孩子，懂吗？ 没有哦，老铁。 多读书，多看报，少吃零食，多睡觉。呃，然后呢嗯就是嗯多学习，多锻炼。 我喜欢学习，我喜欢运动。 平静，开心无聊。 我呢我会我会通过玩游戏来自我缓解，因为呢这个是个非常好的办法，你懂吗？就是因为玩游戏它是个非常好的办法，因为玩游戏能够恢复我们的一个状态，或者说我们可以冲个冷水澡，也是非常的厉害的一个冷水澡。那么或者说运动运动也是非常能缓解我们的情绪。好，你玩游戏更是最好了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1038/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "跟朋友聊天，然后有时候还讨论一些题目。 呃，都有吧，我觉得应该是开心。 咋不会呃，我会跟朋友吐槽，然后跟父母讲。 嗯呃有两个呃，我们经常一起吃饭，然后一起玩游戏，好像也没有什么有趣的嗯。 呃，跟朋友聊天吐槽一些事情就是。 呃，想走开呃，学习成绩不是很理想，呃，不是很想搞人际关系嗯，没了。 有吧有一些我也不清楚。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1056/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "他们都叫我外号。 看书玩游戏，出去走。 无聊。 我最要好的朋友有膨震黄培根，我们一起玩，一起交换家长送来的食物吃。 没观察，没留意。 我们要深呼吸，做作业，出去走走。 我成绩不好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1069/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "常有吧。我操。 呃，不知道可能是我比较乐观吧嗯。 断我我也两个，我都喜欢打篮球开挖掘机。 有三个刘冰，小矮子，深秋裤、小黑棍。 和朋友打打篮球，听听歌。 不可以么。学习压力比较大。 迷茫。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1073/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "很随心所欲，他经常我爸经常问我在学校有没有什么不好？ 不要，一些难过的事情，不要放在心上。 没有，都挺乐观。 呃，就是最近作业有点多 平静 让我让我更加独立。 要考试了，有点紧张。 和朋友聊聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1077/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "找同学或者老师倾诉。 开心，我十分的开心，。 我的周末除了玩手机，就是写作业。 没有没有 以前我特别喜欢打游戏，但现在我不喜欢了， 嗯，不知道我看自己的心态。 呃挺不错的啊，挺不错，非常不错。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1089/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "会通过呃培养兴趣爱好来转移注意力，然后会寻找他人诉说一下烦恼。 嗯，应该没有吧 呃，学习和和之前的画画，这些兴趣爱好之前是我是比较喜欢经经常喜欢画画，但是现在心情不好，所以现在就很少会画。 呃，给自己定的目标或者是给生活找一些盼头，让自己对生活有所期待。 希望以后的学习能能让能以后的学习能更好。我的成绩能够更好啊，那我考上一所好的高中。 中考第一次月考没考好怕你也怕中考的时候怕中考的时候考不好，然后考不上好的高中。 呃，我和家人的相处很和睦，一般都是像像朋友一样，就是自然的交流，没有什么沟壑，没有什么拘束的，很就是非常的啊非常自然。 月考没考好，考的太差了，他都快碎了，抱抱他了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1090/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "之前没有过多暴露自己的时候，我可以做自己喜欢的事情。但且现在做一些事情都要考虑一下别人的感受，这让我感觉很累。 中午和晚上回宿舍的时候，可能会被我们宿舍人嘲笑一些身体状况什么的 因为性取向的问题，常常被人嘲笑呃 一位叫做阿散的人，他会给我一些希望，并每次到游戏打开他的时候都能看到他，我觉得很舒服。很安心。 呃，没几个就五到六个吧，有趣的故事没有什么，主要是他们会在一些过定的情况给我一些好的帮助啊，我现在玩的。 睡觉或者是写些小作文，看看书什么的，我没有。 学习上的问题，还有自己生活上有一些大问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1094/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "不可以，不可以，不可以，他说可以给我指答，我说不可以，不可以啊，别跟了 说人长太，我们有一个说人长太丑了，他很自卑。所以说他就有这种状态，知道吗？老师，依娜老师 我会，我会骂一下原始，我会骂一下原始人，只要骂了他，我就感觉全身都缓解了，知道吧？老师 我，我有一个朋友，他叫邓世文，他他他他他很敏感，只要说他月亮，他就很敏感，所以说我很讨厌他，现在跟他绝交了，因为说他太像月亮了 只要打原神，就能变得有活力，有希望，知道吧？呃，秘诀就是今天打原神，就可以锻炼肌肉，那就让我身心身心健康，感觉畅快无比。 呃，我喜欢打篮球，还喜欢打原神，原神启动。 想打原神，想把原神打死。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1099/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，最近呢有月考，我就会担心自己考不好，然后一直因为成绩在焦虑。 我平时喜欢唱一会儿歌儿画一会儿画或者刷一会儿视频，有的时候还会呃看自己喜欢的书。 有的时候平静，有的时候是跌宕起伏的，就一会儿开心，一会儿焦虑这种感觉。 嗯，比如出去散步，然后然后听听歌或者画，一会儿画，或者找自己熟悉的人交流。 呃有一小部分，但是没有太过于焦虑。 我最要好的朋友有差不多三四个，我喜欢跟他们分享一些日常生活的有趣事情。嗯，比如去外面玩你就像是逛街野餐之类的 其实没有什么秘诀，就是要保持一种乐观的心态，不要被眼前的困难所打倒，学会自力更生。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1105/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，就是考试考的不好吧，然后跟家人沟通不好，然后还有还有去跟家长沟通不好，然后就是挺那个的吧，就是嗯考试真的特别的有压力，然后每天晚上都要熬夜到很久，然后嗯嗯就 就是之前就是经常的呃就那个舞蹈课兴趣班。然后之前就是嗯嗯就是之前学习压力不大嘛，然后又很少的课程，然后我还是比较愿意抽出时间去跳。但是现在就是感觉作业很多，然后没有什什么东西都没学好，然后就是特别的那个，然后还有嗯嗯然后之前就是有一个我兴趣班有个好朋友，然后他们现现在他们走了，然后我现在不知道我跟谁玩，然后就感觉舞蹈课没有什么意思。 嗯，可能就会感觉到特别的焦虑，不开心吧，毕竟嗯这件事情都感觉很很很难缓解。然后就感觉嗯你嗯就是嗯可能会联系一下生活吧，毕竟就是总是好不容易休息一下，就想到这些事情就感觉特别累，然后就特别的就感觉没有一点休息时间，然后就感觉每个人都不喜欢我的样子，就感觉特别的特别的是嗯那个嗯然后嗯 我觉得嗯发生的频率感觉就是呃有好事就有坏事吧。然后就是可能知道自己马上要经历坏事了，就感觉会真的特别的担心，我不确定。然后就是就可能就成绩最多吧，就成绩一说到成绩就感觉特别的紧张，就很怕很怕自己考的不好，然后就经历了很多事情，然后我觉得频率还挺多的吧。因为这个次好像就是考了一次月考，然后我还想就想起以后还要考很多考试，我就会感觉很紧张。然后这一次考完月考，我就感觉发发试卷，然后就很快的对答案，然后就感觉真的特别的有压力，就是对答案的时候就很怕，大家都考的很厉害，就自己考的很差。然后周末应该频率发生最大吧，毕竟跟父母，然后有那个，然后还有在学校的话，就跟同学还可以开心的玩，然后但时就是学习压力太大了。然后还要考试，这就是我最大的困扰，然后就是真的很多很多事情感觉堆在一起。 我，我觉得就是嗯父母之间可能就是有一点冷漠。然后呢，可能我还有一些呃同学之间吧，而且之前好像也遭受过一些语言霸凌，然后就是特别的。嗯，然后像跟朋友相处特别的小心翼翼，然后跟父母之间就感觉有一点代沟。然后如果做错什么，就是特别的那个，反正就是嗯反正就是呃然后学习呢就是很多压力，就是真的很担心学业啊，就感觉真的学习的太多了，就感觉很累，人很累很累。就是怎么说，然后然后周末的时候可能别的孩子还要上补习班，然后我不用上，但是我挺开心的，但是嗯但是但是我还要上三个小时的跳舞课，感觉有一点点难受，就是感觉不好。然后和父母呢，就是可能就是时代太有太狗了，然后就什么都什么都聊不起来。然后然后跟父母说喜欢的事情，父母就看就就就反正就不理我的样子，就是一直看着手机，然后总说然后我跟他们反映了这些事情，然后他们就是总觉得就是他们就找各种理由说，反正就是然后就是我们吵架的时候，他们就是根本就没有好好沟通，就是跟我就是沟通的不太好，然后我就情绪会有点崩溃，就是情绪会很崩溃，反正就是嗯就容易激动嘛。然后就很那个 我觉得我就是就是考试的时候，可能就心的心里很慌，然后就是感觉好像什么都播出来了，就感觉这个心就已经跳出来了，就感觉什么都。然后还有还有就是一天要做很多事情，因为我比较自律嘛，然后就很怕，就一些事情，事情都没有做到，就很怕，没做到，就心里就特别的感觉很烦很慌。然后就很那个，然后还有应该没了吧。 我觉得就是可能我没有跟别人说过这件事，就是我有一些情感问题，可能在我们这种中学生中不会遇到吧，但是我就是特别的焦虑，嗯，就是特别的焦虑。还有之前就是没没想到我跟家人之间的一些事就会感觉到特别的压抑，而且很少的出去玩，就是很少的放松，然后就是特别的难过，而且还有学习就是考的不太好嗯。 我觉得嗯我有很多个好朋友，反正就是嗯毕竟我们女生有很多个小小小小小团体，然后就是有什么事情，就是会跟他们一起讲，就很开心，就会很很就大家一起笑嘛。然后有几个其实挺多的吧，就是我不太想多得罪别人，然后就是可能尽量就每个人都成为好朋友，就是不成为好朋友的话，也不要有太多瓜葛，就是不要说别人或者什么不要乱评价，我觉得大家都是我挺好的朋友，但是最要好的应该有全班一半吧。其实真的很开心，就是讲的那些就是特别的开心， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1108/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "应该没有。 打打羽毛球聊一下天。 开心吧。 呃，我觉得初中非常的好玩，然后让我体会到了生活。 呃，我会找心理老师了解一下。 天天快乐的学习。 我的周末是这样的，星期六就玩一下，然后写一下作业，星期天早上把作业写完，下午去上篮球课，然后晚上吃完饭就过来学校。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1112/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "打球。 好吧，无聊，无聊，无聊无聊。 发点啊没有有有有黄。 学习，我给你开两副中药盒 秘诀，没有秘诀  玩手机 没事，可以 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1120/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "嗯，呃也也没啥吧，就是怕自己学不好，考不到理想的高中。 向前看，世界是总有好的事情会发生这些糟糕的事情就慢慢解决，好的，肯定比比多的多嘛。好的呸坏的肯定比多的好好多嘛。 嗯就是有时候学，有些地方他是学不懂，然后呢和朋友，然后和朋友还闹了一些小矛盾，现在跟他的关系很僵持。 可以去找生物，找心理老师帮我缓解，也可以和同学分享。 我们以前是刚在军训的时候就认识的，然后呢后面玩的就很好了。但是现在可能是不在一个班吧，就受到了很多呃阻碍，然后跟他不是很好了，但是我还是很想可他重归于好。嗯 我周末星期六早上早上都上课，星期六早上上美术课上三个小时，上到十一点哦，上到十二点，然后回家吃饭，下午要上其他的课要上古筝课，古筝课上完之后就没什么事了，但是我会选择写作业和别的东西。星期天早上我也是有美术课要上的。 没有吧，我的朋友都挺正常的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1122/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我会走到外面放松放松。 劳逸结合 嗯，有两个，我们经常一块儿去吃饭，一起去玩耍 平静。 看看书出去走走路。 没有 学习有一些跟不上作业写不完。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1127/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有。 聊天。聊八卦，讨论家常。 呃，这。我有一个新同桌，他叫做刘家红，然后呢，今天才跟他当上同桌，他特别安静。 很平静，嗯，很无聊，每一天的学习很无聊，好朋友们都去。 没有。 你看起来好鬼呀，有五个台，五个台那个看还更像你看那个屏幕黄了，修复原后的石桥桥长两公。 我直接点呃，倾诉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1141/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "原本与朋友相处，以前很融洽，现在不怎么样。 无聊。 去野营感受大自然的美好。 为了学好为了学为了学好科目，各个科目的学习没用，我是卢星。 尝试接纳，尝试接纳和改变。 我不知道，应该没有。 每天，认真干好每天应该该做的事情。学习、学习、学习吃饭等。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1149/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "我的朋友没有处于这种状态。 我的周末呃早上起床吃早餐，中午吃晚吃午餐，晚上吃晚餐，然后还会看一会儿电视，然后还会看书，然后也会写作业。然后呢，我妈妈会给我买好吃的，然后我还会跟我的好朋友一起聊天，分享趣事。 我喜欢看电视，跟同学聊天，然后写作业，还有玩电脑。 呃，我会用开心或者嗯有一点小无聊，但是还可以就是这么说吧，开心或者还可以。 如果我遇到了这种情况，我会找朋友诉说，然后去买好吃的。 我呃就是可以去吃零食，还有去看书，没有什么秘诀，自己开心就好。 呃，最近呃，跟朋友出去玩呃，非常的开心，呃，也有认真学习。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1159/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，要一直保持活力的话，就可以在空余时间多做自己喜欢做的事，做自己的爱好，保持希望的话，就要相信自己觉得什么事都是有可能发生的，也有可能改变，不能有那种摆烂的心态。秘诀的话嗯，就是呃是自我就是自我强，呃，就是自我说服吧，自我说服哦，就比如怎么会就比如呃拿我的一个科目来说，就是生物生物这一科他成绩挺好的。然后我觉得我也可以做得到，我不相信他是开挂的。然后嗯相信自己，相信自己，然后就有希望保持还还能保持活力，亲呃可以让你学习成绩更好。 在空余时间的话，我喜欢看看书，做一做手账。然后嗯另然后看一下习题，还喜欢吃一些自己喜欢吃的零食，望着天空，还有对面的房区发呆。 嗯，如果有遇到这些情况的话，我会及时联系父母老师，然后让他们帮我开通一下，那或者是吃自己喜欢的东西来缓解难受，做自己喜欢做的事情，还有缓解压力。 嗯，如果要论要好的朋友的话，我这么说来是没有的，没有几个在我们班上特别要好的那种朋友，几乎应该是嗯现在目前来说是没有的，我经常独来独往。嗯，有呃以前是有过有要好的朋友的跟他，因为他经常发生矛盾，在六年级的时候，嗯，我跟我最好的闺蜜，因为一次一次事情，然后嗯然后跟他闹矛盾，现在也没有什么很要好的朋友。以前的朋友几乎没联系，现在这班上的朋友也没有，到时候问题也没有，也没有怎么接触我。以前如果要说有趣的事的话，那我就是拿我六年级的来说，六年级我跟我的呃要好的朋友一呃嗯呃玩的很开心，经常一起吃饭，周末一起出去玩，特别有趣。 嗯，我觉得学习压力没有那么大，而且呃爸爸妈妈都很关心，我老师学生也很关心我鼓励我，然后我觉得过得挺开心的，压力并不是那么大。 呃，我我觉得的话应该是有的，但是但是嗯很但是很小 我感觉我的学习明明挺努力的上课，认真听作业，认真写认真写出来的作业却错的挺多，挺离谱，认真上课。但是上完课之后，也问了许多知识，我认真背书。但是背了又没有他考的好。老是又遇到不会的题目，而且而且在同学和那同学关系也不是很融洽，感觉很多事情很多人都与我作对，感到心情有点压抑，有点小小的难过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1161/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "早上起床，中午睡觉，晚上吃饭，然后睡觉。 嗯，可以闭上眼睡觉。 难受就睡觉，睡醒来了，什么都会好起来。 肯定没有 嗯，这个呃周末早上睡到中午，中午吃完饭，下午骑单车跟朋九出去玩去一些好玩的地方，比如天一层天河什么的地方，然后下午回家，早完写作业，写完写完写完作业，学习，学完习后睡觉，然后快乐的平肤结束了，到明天也一样。 开心开心，开心极了。开心开心极了。 喜欢找朋友玩，喜欢骑单车可以。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1164/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "开心无聊。 没有。 呃，害怕回答问题呃，也怕回答错误。 呃，上午写作业。下午与同学们出去打篮球，最有意义的是是可以跟同学们一起出去玩，很开心，很快乐。 呃嗯呃，对呃，生活非常开心。 学习状态发展的问题，生活没有太大影响。 玩打游戏，抓少萝。 呃，无聊的时候多打打游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1179/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "无聊。 我会适度休息，听音乐，还有散步。 身边总是有人打扰我，做我不想做的事情，这样的让我很厌烦。 我喜欢刷视频、打游戏、看漫画或者画画。 没有。 只有两个，我跟他们一起发生了很多有趣的事情。比如我们每次放学都会一起去买吃的，都会一起分享吃的，而且还会一起出去买东西， 呃，感感觉状态良好，但是学习有压力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1180/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "我想我的院子，然后是我想长高，但是我都干不到，我想我的成绩都变好，但是我发现我上课都听不懂，而且我的学习也一塌糊涂，我每天都下课都不走，我坐在座位上面写作业，每天早早就把作业赶完了，就想着挤点时间出来复习。但是每一次复习都都跟一泡狗屎一样，我也不知道我要复习什么，我背书记忆力太差了，我也背不下去。然后我我复习预习那些也跟一泡狗屎一样，反正我可能学习方法还没找到，我找这么久了，我服了。 我觉得影响到了我的学习。其实我但是我觉得我这种脾气对受对学习也没什么影响，就是哎算了也有影响。我本哎呀，算了，习惯了，就是背着背着书，背烦了，又不想背了，生活倒是没有太大影响，就影响到我学习了。哎呀，反正就很烦。 呃，很烦，我也不知道烦什么，反正就是也烦。呃，就是每一科都好难，我不知道要学还是不学，我学那么努力，然后还没有人家牛逼，我不学又很愧疚，又觉得这个不太好。呃，体育每天跑步烦死了，晨跑，每天早上跑跑四圈，王博士跑两圈，好多跑步的我腿要断了，截肢。比较容易生气。我现在急性子。 呃，有时候吧。嗯也不长，就是不长，哎呀，有几天哎，反正就是有几天。 政治好难，历史好难，地理也好难，语文好难，英语也好难，数学也好难。语数英政治生物物理也好难。我报了补习班，九十一没报补习班的九十四，我报的跟没报一样，好烦都很好烦，全都很烦，作业好多，每天都写不完，我也不知道怎么复习，也不知道怎么背书，词政治好多好烦，既有谁男的也好烦。 好烦。哎，反正我也不知道有什么不愉快的，反正就是每天都有几件不愉快的事情吧。哎，不过一回就没事了。 我不知道我有几个最要好的朋友，但是我知道的是跟我玩的好的都在别的学校，有趣的故事的话，我也不知道，反正每天就是笑，他们能跟我玩到一起，都是笑点挺低的，要么就是脑回路都很新奇，跟我玩到一起的都都挺有事儿的感觉，他们都不太正常，我也不太正常，就是挺好玩的，我挺喜欢我的朋友。但是最要好的朋友呢，其实我自己说也说不出来，我也不知道到底是谁跟我要好。单方面的话，我能知道的应该不超过五个。哎呀，我也不知道别人是对我，就我在他心里是不是好朋友吧。 我喜欢画画，然后聊天，聊八卦，发泄，然后，然后聊一些我喜欢的东西，然后干一些我自己喜欢的事情。啊，对。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1187/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呜呼真的太棒了啊，当然呢，体育课呢有点累啊 维护网络游戏从我做起。 哇哦，玩元神，元神启动。 元神启动玩原神。 玩玩手机，玩玩手机，做做作业，出去玩真不错 开心，起飞了 没有绝对没有，绝对没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1195/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "身体好，每天都有盼头。 比如说我爸妈，然后我舅舅这个月也走了，然后我家发生了很重大的变故，我上了中学压力也挺大的，有一次还在宿舍里面哭了 来到初中宿舍以后，我交到了几个十分要好的朋友，他们每天早上都会陪我去吃早餐，晚饭也是他们会嗯很高兴的跟我在一起玩，会愿意跟我分享自己的意志，所以跟他们相处是快乐的。 比如说画画 其实上了上学以后压力挺大的。你要是起早贪黑的去读书，你还要担心自己高中可能会考不上，考不上以后就有巨大的落差，与他人有了一大段的路，走不完这条路的。 暂时还没有 我会我会让自己放松下来，让自己不要那么心烦，气躁，放放平心态才是最重要的 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1197/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "depression"}
{"problem": "对，确实很不错，没关系的啊，无所谓啊，嗯嗯嗯挺好的，挺好的。 我会要冷静一下，然后就不知道了。 没有哦，我喜欢我喜我喜欢，我喜欢找别人一起玩。 我记得之前也是朋友们一起去外面玩。然后跟他们玩，玩挺久吧，真的挺开心的吧，应该应该没什么吧，一般一般都是在家里玩手机。 作业太多了，但是虽然说作业很多，但是我还是写还是写完了，虽然上个星期为没把它站起来，但是虽然没什么关系，抄几句话就可以了。呃，怎么说吧，反正就是挺好的吧，没有什么困难的，还是挺开心的。因为那种反正这几天中午都在写作业啊，挺好的吧，就也挺好的。 没有没有没有没有。 我也不知道啊，反正，反正反正反正，没有什么秘诀，开心就好。 挺开心的吧，挺开心的吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1208/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "看一看书。 我会放松身心，或者向周围的人嗯，请教一下方法。完了完了。 我觉得呢是，会选择开心吧。 每天就是写一会儿作业压力也不是特别的大，还属于我能承受的范围之内，就是还挺不错的。 乐观开朗，不要沮丧，可以多找一些能让自己开心的事情去做。 没有的。 我一般会看看书写写作业，或者偶尔看一下电视。我认为最有趣的一次周末是那个。是北京地区县存的最古老的一座。去看了一个很有寓意的电影。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1228/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "呃，我一般呃会利用周六的时间来进行学习。然后下午呃一般会进行一段时间的运动，比如打篮球之类的，呃，周日的时候就会和家人一起出去。呃，外面呃例例如爬山或者逛商场之类的一些事情。呃，我觉得最有意义的周末就是我们全家一起去到呃去到某个景点，不是很记得，就我们一起在那里野餐过得非常快乐。我觉得那就是我最有意义的周末。 呃，有时候我会通过看电视来看电视，或者呃玩一些电子游戏来放松自己。但是更多的会去呃进行一些比较激烈的运动，然后让我自己能够在这种这种运动中感觉嗯就是呃能够保持这个活力和希望，这就是我的秘诀。 嗯，没有。 呃，比如说我现在开始认更加努力的复习了，就是因为以前呃有一次因为没有特别认真的复习而考的比较差的。现在自从我认真复习后，各方面的成绩都取得了进步，我觉得这是一种非常好的学习习惯。所以呃就是让我的这考试这件事情受到影响。 呃，我会呃向朋友或者是同学求助，呃，然后寻求他们的建议，让让自己呃，让自己的这种方法得到一些缓解，并且知道这种方法应该怎样解决，呃，并且能让自己更加呃就就是让自己可以好更好的解决这种方法。 呃，我觉得最近的生活学习状态不错的呃，因可能只是因为要考试了，有一些小小的紧小小的紧张，呃，没有别的太大的问题。 嗯，我觉得我的个人的心理还是非常的健康。因为我觉得我的各方面，比如说生活状态呃，生活习惯还有一些都比较良好，没有说什么类似自暴自弃或者什么的，然后呃对生活也充满了比较大的希望，然后希望我自己能够越来越好吧。 呃，开心，呃，兴奋，呃，比较呃比较活泼，但是也有一点点小小的紧张。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1230/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "玩玩游戏听听歌呀，看一下复习一下课文，然后还有画画呀。 他们任务真的很多，但是对我来说根本就没有压力，我早上就搞定好ok的。 我一般呢星期六上午呢，我会先做作业，然后呢星期六下午呢我就会去上画画课，然后上画画课画到大概四点多的时候，就会跟同学聊一下天，然后到到五点多的时候，就是家庭聚会。然后周日上午呢，我会在石节那边上课，然后下午就跟我爸看看电影啊，就回校。没啥有趣和有意义的，因为反正没啥都对。 可以微笑面对生活，然后呢把生活呢就当做当做每一天呢都是快快乐乐的，都是在玩的。 可以，画一下画呀，来聊聊天，然后呢，跟老师说说。 我会选择 自己的同学和朋友。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1233/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "没有。 准备要考试了，我是觉得自己考不好，时间不够用。 我会在周末好好的看自己啊呃就打开手机刷刷刷刷刷刷抖音，就就看一些自己想看的东西，就就看自己喜欢的那个明星，就会让自己心里很满足，就跟朋友聊聊天，然后就说说话就发发微信。 最近老是睡眠不够好，要不然明天早上对每次睡觉的时候都会半梦半醒的状态就就比闹钟先醒来，以为还有很久，然后就就准备睡，然后下一秒闹钟就醒了。 缘份才始 是的，上课犯困。 作业太多了没有。 跟同学聊聊天刷刷视频。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1245/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "学习上有很多同学帮助我在学校里有很多同学陪我一起玩， 仍然选择开心开心。 空余时间做运动，更加放松，还会去参加兴趣班太多了。 我会听音乐到户外走一走散一下，这样可以放松心情， 我会和朋友和同事们一起来聊一些开心话题， 我会参加一些课外可以学习更多的兴趣爱好，还会跟同学们一起出去玩，感受一下玩的乐趣。 我身边没有这样的朋友和同学 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1256/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "去运动。 宁静。 用一种乐观的心态去看待每一件事情。如果遇到了自己不是很愉快的事情，可以想一想，他有什么好处给你带来什么益利益处。 没有。 有很多个，其中有一个就是和我打篮球的时候，他和我一队，然后他投了好几个三不沾，我们就在那里开玩笑，一直在那玩耍。 打篮球。 平常好好学习，如果有压力就去打球，打篮球活动一下，释放一下压力，目前没有什么呃太大的压力问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1265/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "然后然后还有人人意的想，我跟他约好了，到时候想到到时候长大之后一起去英国。好，那好，他说不要说，那我就不说了，那就换一个人吧。嗯，我认识一个人叫易某某算了算了算了算了呃，这么说吧，我现在很焦虑的就是直塞，但是呢这个比率在这个中国非常的低，所以我想要不要去国外找找我。嗯，呃然后还有我我我喜欢的那个人，我现在都不知道他是真人还是假人，可能自己精神病又犯了吧。然后嗯我我希望我爸妈多活，我妈多活几年，我爸撇了吧。呃，还有还有啥？我让我妈我妈长命百岁，我妈活的比我久，然后然后我想变成一个，我想变成世界首富，特别有钱，到时候我可以送一纸箱，几个那个什么来着？迈巴赫啊，什么呃，你在意我，你在乎我迈巴赫啊嗯嗯嗯叫还是什么来着？迪迪迪什么来着？我们啊再送他一些迪迦吧，男孩子都想迪迦在在，然后有房有车，然后就可以到处浪里个浪，浪里个浪，这是最爽的了啊。好啦，拜拜啦。呃时间到了啊，呃希望咱们能再遇哈啊，拜拜。 这么快啊，保持活力，希望有什么秘诀吗？没有秘诀，我之前很想嘎的，我去那天我甚至把我甚至把衣服都穿好了。我能这么说，说的叭叭不对，应该是换上了正常的着装。到时候如果跳下去嘎了，我至少还没收尸。我还把聊天记录图片视频全备忘录全清空了。结果呢结果到晚上的时候，被我妈呃被我妈用一碗面给俘获了，真搞笑啊。呃还有什么呢？其实也没有多少活力和希望吧。嗯，我想着要去南京，南京是我的梦想，，我终身的梦想，有我想要的地方，人我最想去的地方了，还有遗憾吧。 我最近感到压抑和难过的事吗？我体育并不怎么好，跑那个八百就只跑了三分五十一。我知道你跑的很好，别看我靠，我最近比较难过的事情，大概是不对，想把学习搞好一点，但是嗯搞不了啊，是吧？虽然我这次数学一百分了，但是嗯哎呀心情不太爽，我难过的事啊，我的老婆跟将军跑了，我的老婆跟将军跑了，我的老婆跟将军跑了，一个小说的人物，你就不用太在意了哈，心里不太好受嘛，家里面有点事儿吧。然后学校里还有学习，学校里还有学习，真的好崩溃啊，难过的事吗？我到现在都还没有，我现在还没有男朋友，我现在很崩溃啊，不对，不过四爱占比率好像特别低，我去江苏找吧，我勒个去。 呃呃，年级第一次次考。呃，呃，然后梦梦想是考全市第一，成为市中院斑马人。他呃他他很想考年级第一，世界第一不对，他想成为世界第一，他想成为世界靠世界首富，然后他很好，他很他非常好，他心里非常我以上说他的不好都是假的。 嗯，这种状态给我的，我操，吓死呃状态学习这种状态，影响我的学习，然后生活那种你懂吗？那种看得到吃不到的感觉真的很崩溃。耶结束了结束了啊呃美女姐姐，你长得很好看，你也很温柔，我很喜欢你。就如果方便的话，下次加个微信哈，而我旁边那个一子翔，他他要跳楼，他要自杀，而且你个啊痛痛痛痛痛痛，一直想要把这间灯接我救命啊，一瞬间想自杀，想跳楼右边那个电脑注意一下好了啊。 现在的学习压力特别好，还有我呃我现在不怎么开心的原因，主要是因为现在学业压力比较重，然后呢我们的学校这个饭菜呀难吃啊，我们学校饭菜真的难吃的一批早上抢包根本抢不到。你别说包子了那个吃，然后吃吃包吃午餐，吃早餐的时间又短，然后要提前去学习，提前去提前去学习，然后导致我提前去学习，导致我们吃饭的时间没有那么的多。然后呃然后呢没有呃提前去学习老师吃饭时间比较多，早上的时候会非常非常的饿，饿的要死。然后然后呢呃我有个朋友看一拍在南京搞不到手，现在有点苦恼。这样的哦，还有个人叫叶子翔，他现在想蹦极他想从高的地方跳下去，仅此完了 我，最近我心里面总是很慌，因为旁边有个人又在捏，我像变态一样的骚扰我，然后我真的心里很慌。我靠，我现在不确定南京那个人是真的还是活的，是真的还是假的？我现在有点崩了，有什么办法吗？我靠，四年级、五年级、六年级、七年级、八年级、九年级我靠，没到手，我靠，心里肯定很慌啦。呃，要中考嘞，中考没考好那个光明中学的美女多，然后嫁给不是有乐高，为啥你不想去吗？ 然后感觉当然是这样说，每天早上的时候觉得处理，然后每天下的时候也会特别困。每天晚上的时候，每天晚上稍微特别的饿饿极了。然后我没有想过跳下去，但是我旁边的一直想想跳下去，还没有好，他的心里有极大的问题。嗯，呃这周心情的确不怎么好，因为我物理考了六十六分，你懂吧，后面大题全对，结果一分都不给那种啊，六十六分懂不懂？六十六唉，六十六。 空余的时间我喜欢看些小说，有本书叫做某某当天和盛望，那是我永远的少年啊，算少来，这人间。江阳正好风过树林，比视他们正当年少他们的青春，我特别特别特别的喜欢，是那种恣意的、潇洒的，但是也有学习，有压力，有苦涩，但是也有苦涩。回甘后的清甜，我非常喜欢看这本书，但这本书被收了三次了，我有点崩溃。然后我还喜欢玩会游戏。比方说代号元代号园里面的会非常的good,然后演完异次元异次元里面我有很多的老婆，但是有一个老婆她跟将军跑了，我很崩溃。呃，然后就是偶尔画画画喽，然后学习一会儿，然后发呆，想想自己的未来。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speech content, tone, and prosody, what is the speaker's likely\n\nBased on the speech content, tone, and prosody, classify the speaker’s depression severity using the PHQ-9 categories: depression, no depression.\n\n?", "answer": "no depression", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1269/wav_1.txt"], "dataset": "mmpsy_depression", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "depression_cls", "class_label": "no_depression"}
{"problem": "就是想着自己要中考了，然后自己需要把成绩搞上去考上个好的高中吧。然后就想说这些东西可能就是我们其实到都有这些东西，可能在我们成长上面没有什么特别大的意义。我觉得虽然说也不能说没有意义，但是我觉得最重要的还是中考，反正自己如果到时候如果自己努力学习，能把成绩搞上去又很开心。 学习压力太大了，个人的交友上面有点问题吧，就是学习压力太大了。 可能就是因为有些人际交往上的内容有点太过于那个了吧。然后学习压力大，背书有点学习，学压力很大吧，然后就是人际交往上面有点困难，是不是这么样子，可能有点不好。 听歌来缓解，然后就是想点别的事情吧，转移注意力。 基本就是写完作业之后，刷回手机就这么过去了。然后我觉得最有趣的就是意义中的是有一每次回去能快速的把作业写完，然后跟我哥打电话聊聊心，聊聊天，然后就是还有跟以前一个好朋友一直聊天吧，聊了很久可以每天都有好朋友聊天，然后就是还可以有的玩，有的吃，挺有意，有一次有挺有意义的。 不清楚哦，我不知道有没有，反正不清楚不清楚。 听歌吧，然后玩玩手机，看看手机打打球。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_5/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "平静。 有两个就是我们经常一起玩，然后经常一起迟到，然后但是挺开心的。 聊天聊天。 没有秘诀。 找人倾诉。 就是嗯呃正常上课，正常上课，正常写作业，就是晚讯说挺累的。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_7/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "因为我有梦想啊，为了完成那个梦想，我就一直都在努力。 还有我周末一般都会和我家里面的小猫一起玩呢，帮父母干点事情，然后呢叫我弟弟做作业什么的，有时候周末还会带我出去吃好吃的呢嗯。 我如果我遇到那种情况，我会吃很多很多好吃的，来自我安慰一下的。 嗯，就比如说画画吧，画画的话，之前灵感都是来的很快的，要就是拿起笔就有灵感了。然后现在画画的时候呢，就是要想半天，想半天白天想晚上想才有灵感。 我最近感到压抑或难过的事情，大概就是人与人之间的交往吧，或者说是学习之间的压力，学学习有些科目跟不上严重偏科的那种。然后难过的事情就是有点在学校里面住宿的时候，总是会想家的等等。 这一点的话，我平时都不怎么关注他们的，所以我是不太清楚他们的状况。还有就是我我没有那么多的朋友。 好像也没有发生过什么重要的事情，就是学习压力比较大而已。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_31/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "呃，最近的话我就是由于学习压力有点大，学习压力有点大，学习也紧张，学目也多了很多，我我就更加努力了。家庭方面就没有什么家庭方面没有什么问题，也没有什么感到疑惑的，就是感到感到非常紧张，就是学科又多了嘛，那考试也多了，到时候考不上，又上不了高中，就有点紧张。现在这个情绪。 我有好几个要好的朋友，他们嘞他们都行。我们就是如果在有如果有不懂的问题，就可以互相问问题，不会的作业也可以互相询问。有一次嘞，我们就是一一群人在一起讨论作业。然后我然后我们都有一题，他们都不会。然后就我我解出来了，然后我感到非常高兴，真的那种得意忘形，真的表达不出来，用语言无法表达，这就是我们之间发生过的有趣故事。 我喜欢打打篮球，看看书之类的，或写写作业。 嗯，我保持活力和希望坚持自己的学习爱好看书呃或打篮球。嗯嗯，努力学习，为自己的为自己，为自己的那个为自己的愿望而奋斗。 如果遇到这种情况的话，我会解压，就比如说身心解压、游戏解压，或者通过一些物品来身心放松，嗯，就让自己放松一下，不让自不让自己那个学学学业那么紧张。 呃，平静。 在身边没有处于这没有处于这种朋友，他们他们都是呃也像我一样很紧张，因为学科多了，他们他们现现在也是非，也是感到学习紧张。 我最近爸爸给我报了一个那个c++的那个课程，爸爸花了不少钱呢。所以我我想我我一定要认真听讲。所以每一节课我都会认真听做笔记，尽可能把每一节课都做好，每每个作每一个老师电脑，老师留下的作业都会做好。我一定要把电脑学学得惟妙惟肖？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_41/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "并不是有趣的故事，初中就会有新的朋友。我就遇到了两个朋友。一开始我对他们的印象是比较要好的，还想主动上去搭上他。可是呢后面我发现他们并不是那种想象的那么好。就是说开学前几周我跟他们成为了朋友，可是他们就是喜欢学我的动作呀，还有我的行为啊，但是有些动作我都感觉我没有做过，他就说是他学我的。然后这样让我感到很厌烦，我特别不想跟他玩，他特别喜欢告小状，然后呢让经常做一些让我感到不悦的事情，绝对不会。 我会或许我会跟我的爸爸妈妈说，或者跟我的朋友倾诉一下，让会让我感到比较开心，就是得到了一种舒缓。 也许是苦中有乐吧。我上了初中之后呢，就是说又有好的事情，有坏的事情，但并但是呢坏的事情也许会会伴随着快乐的事情。但是呢我还是觉得上了初中之后呢，算你的学业加重了，然后呢运动量加大。但是呢学习中总是有快乐伴随的，然后呢，学校也会搞一些集体活动。 好像应该没有吧，我觉得他们都挺开朗的，不会这样子吧。 我就是比较喜欢在周末吧，或者在学校呢，我比较喜欢哦，在学校可能没有那么多的空余时间，但是呢我还是喜欢在下课的时候跟你朋友闲聊一下下。然后呢，在家里的话，我就会先写完作业之后呢，有空一段时间，到了星期天我就会用我的爸爸妈妈聊聊生活怎么的。 如果说最近几周的周测，你可能会考的没有理想的那么好。但是呢第一次考总会紧张怎么的怎么的。如果你没有那么的沮丧，虽然一开始我也有沮丧，但是我一想到还有下次的周考就不会那么沮丧。那我们就是说下一次考的更好吧。 可能是我上学期期末考试考的不是那么的好，所以然而学费又有点高，所以我妈妈就可能会有点生气。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_46/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "打篮球吧，毕竟我喜欢打篮球，打篮球可以让我适应环境，适应环境，我就不会那么想家，就想父母 打篮球写作业 嗯，前一两周确实周测的时候没那么好，但是现在慢慢的嗯慢慢的适应了新学期的新新学期，新气象的心理，现在成绩慢慢恢复以前的状态了。 啊，你打篮球可以舒缓，我的心情，舒缓我的心情我就不会，我就不会觉得很难适应环境，适应环境，我的成绩会慢慢提升。 最要好的朋友有两个。嗯，我这好看，我每天下午放学的时候，都会跟他们两个打球，打完球我们就一起去洗澡，一起吃饭，吃完饭一起回教室写作业，每次打篮球都会发生一些有趣的事情。比如说我们打篮球赢了对方，或者我们打篮球输了输了就很有点伤心，但是呢下次一定会打的更好。 好像没有我们的，我们我们班同学都是一下就很适应的适应环境。呃，一开学就回到了回到了上个学期的状态 既贫既又开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_53/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "打游戏看书、看电视。 没有。 嗯嗯嗯，最近最近也没什么东西嗯嗯呃。 平静和开心。 去做自己想做的事情。 上午看书写字，下午去外面游玩，星期日上午读书写作业，下午玩游戏。 打游戏、看电视、课外运动，去外面郊游，或者跟着同伴去玩。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_60/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "哦，人都一样啊，嗯生活状态很好，生活过得很好，胃口食欲都不错。 平静很开心，快乐。 没有，根本没有。 呃，寻找家长老师朋友才行。 老师心情愉快。 吃饭睡觉，吃饭，睡个觉，打游戏。 玩游戏、玩手机呃，和家人一起出去买东西。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_66/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "喜欢做。 没有。 真好，唉，真好看你最近的嗯。 没有。 三个。 开心无聊。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_70/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "对对对，和平打游戏太菜了，被队友骂菜狗怎么整？ 呃，背后里说说我坏话。 没有不想说。 跟一个男生玩的很好。 呃，主要主要就是因为成绩。 他们说我太帅了。 呃，心里慌的。 呃，写小说。 算了吧，你可想多了，我不说。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_75/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "宁静宁静。 多去想想自己优秀的地方啊，也可以选择看电视读书来让自己保持身心愉悦。通过外在的乐乐趣，让自己感到开心。 好吧，没有。 呃两个呃，他他每天都会都会，他每天都会帮帮助我学习。然后他周末还跟我朋友陪我出去玩，他都会主动找我，出去玩，帮我解决我的烦恼。 看电视，有时候会看一会儿书啊，有时候会打会游戏。 学习任务有点重啊呃的还有搞比赛，有点紧张。嗯，刚开学有点不适应。 向同学交谈交流，交流自己的情况，然后可以找老师啊，上网咨询，找一下心理老师。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_76/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，反正就是啊听了，反正就是不时鼓励一下自己，听听别人跟别人聊天，哎，让自己保持一下快乐比较愉悦的状态吧。 呃例子的话，就比如说之前嗯比如说之前我比较喜欢那个什么比较喜欢那个什么搞点什么运动，打什么羽毛球。嗯，现在我比较喜欢看书，嗯，就这样。 我可能一开始会比较烦躁，嗯，可能会比较那个很很比较比较抑郁，然后我会尝试，我会我就会尝试跟那个同学或者家长聊一下，天缓一下，缓解一下情绪。然后嘞，然后我可能会也会去跑一下步，看会视频，反正就找找点事情干，放松一下。实在不行，我就躺一下，呃，吃点什么东西，吃点吃点好的，睡一下，反正反正也可以过嘛。反正如果围绕这种行为的话，那最多过个一两天就差不多差不多缓解了，差不多就没什么感觉了。呃，就这样吧，我有的就这种法子了。嗯，要么我要么找同学家长聊天，要么看视频玩游戏跑步，实在不行，就吃顿好的睡点觉，就这个样子，我我方法就这么多，也没什么法子了。 呃，就是怎么说咧？嗯嗯，感觉也还好吧，学习生活的话也算比较适应的，还算比较好。那来什么作业部什么的，也可以比较比较好的完成吧。唉，虽然也不会的，但也能搞懂，也能搞懂，大分也能搞懂吧？嗯，那背书最后也还是可以完成的。虽然有些时候有些时候可能可能感觉有一点烦躁淡淡，来，最后呢还是可以缓过来，呃，可可能多半会有点气烦，反正有点就有点微躁烦躁，但时候呢也就过过个一两一天不差不多就好了，反而现在反正还的很还的很好，现在过得也还不错的啊。 我想不太多吧，我身边的人都挺那个，挺就是比较活泼的。呃，人身边人都是不错的。呃，坐我周围那些都是，其他的，呃，其他的我就不是很了解，也不知道怎么说。嗯，主要是我这个人就就是那个样子呀，反正我觉得身边人都挺不错的，呃，都不是很那个很焦躁，嗯，应该问题不是很大嗯。 嗯，感觉还是比较平静的。 嗯，我一般如果度过周末的话，嗯，我一般情况下度过周末，一般可以适合那个。\n首先我先是早上六七点起来嘛，我先是起来，然后起来呃，然后去吃早餐，吃完早餐，然后跑跑一下步，嗯，跑一下步，然后看一会儿视频，然后大概到那个到八九点的时候，我就开始写作业，写作业的话，然后到中午我就跟那个家里面吃饭，然后到下午继续写作业。那啥看视频什么的也有，然后到了晚上我就晚上我就刷牙洗脸，然后睡觉。你要我说，什么最有意义最有趣，或者什么最有意义周末的话有什么东西的话，我觉得的话也不是没有吧，反正我觉得我觉得我最有意义周末的话，就是那种，嗯别是跟那个什么，我最后意义的就是什么是跟咱们家里人去外面玩。\n呃，虽然感觉可能很平常吧，那个但，跟家里面人去外面玩嘛，那总是开心的，就就算什么都不干，上面兜一圈都好，那也是开心的，嗯，让人觉得身心愉悦。\n虽然说对外面什么游乐项目其实我不是很感兴趣。嗯，他反正多方面原因的，但哎，反正家里面的人啊，不干活啦，我也不我也，我有时间啦，可以不写作业啦，去外面耍一下。哎，那吃个东西，吃个饭，兜个风，兜个风，逛商场啊什么的，也挺开心的了嘛。嗯，啊，反正日反正日常就这个样子也没有什么可以说的，嗯，嗯，就这样就这样哎过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_112/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "放放轻松身体，然后呃对这件事情少放在心上，能不自己处理的时候，就不用自己处理。嗯，不要让自己分心。对这件事情放太多的心了，耽误自己的学习和生活。 没有。 相处模式比较友好，平时都是好好沟通。有时候呃妈妈会比较呃是比浮躁一点，因为压力生活压力大，呃，要养育我和我的哥哥，所以一般他脾气比较大，然后我们要我要顺从他，然后不要惹他生气。因为家里的负担都是由他一个人承担的。呃，父亲爸爸离开，离开了，这边自己去外面了。 保持快乐，做自己喜欢做的事情，不要搞得自己天天不开心。做每件事情的时候，先是尽力而为，然后再是慢慢努力达到最好的成绩或最好的结果。 感觉成绩还行。然后我再是对于对于害怕，担心将来自己考不上中考考不上高中，对家庭负担大挺担心未来的。 开心。 画漫画画写实。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_115/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，看风景相好，想起以前的有趣事情。 那天我回到了老家，遇到了多城未见的表哥表弟，我和他们玩的甚欢，一直玩到晚上我们吃了烧烤嗯，烧烤，然后做了一起玩了游戏啊，还打了羽毛球，聊一聊我们以前的事情。 看窗外的风景，然后回忆一些开心的事情啊。 打游戏看视频。 开心。 学习成绩很好，然后数学也考的很不错，语文还拿了个第二。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_125/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "感觉没有什么人愿意跟我玩，我明明对他们都很好，但是就不知道为什么都不太愿意跟我玩，就没什么朋友就感觉好孤独。过生日的时候，邀请的还得是同学，然后就是我朋友，甚至连我生日都不愿意来，就没有交到什么好的朋友。但是我觉得我应该值得更好的人，但是就一直没有碰到，因为我对朋友付出的都挺多的。但是朋友他不愿意怎么向我付出，并且老是无缘无故跟我吵架，而且我认为我什么都没有做错，他们就要跟我吵个不停，我是真的烦我。呃，而且我我的兴趣班就是油画呀那些的，但是我又不太想上，然后那些我妈又老师说那一节课就要一两百，然后让我去上逼着我去上，我也真的受不了就烦就很烦。 沟通的话，我总静不下心来，就是跟他们交流就挺想发脾气的，也不是说讨厌他们吧，但是就是挺烦的，就是不知道为什么呃，我也知道他们是为我好，但是他们的老是压力，我搞得我好烦，然后就是挺挺挺挺挺让人烦的吧。我爸老是喜欢说什么？呃，你你看你爸爸又给你买了这么贵的东西，那你会要好好学习，要报答我们就老是用这种来说就感觉很烦人，然后又又喜欢一直盯着我看我很讨厌那种一直看着我的目光嘛，然后叫他们不要看了，就非要一直盯着我看听都不听的。他们我妈因为喜欢老是给我剥水果，他们就老是喜欢自我感动，是教育都没有感动到我，他们感觉他们自己，然后全都就觉得他们自己做的特别好一样。想跟他们说吧，又不知道怎么样说，那我就挺烦的，就是发翻白眼，然后发脾气。就是虽然知道这些不不太好，但是就是控制不住的烦躁。十年的时候。 愿意其实也不是一直都这么的有活力和希望。只是最近就按今天的来说，我是充满活力和希望的，但是之前是倒也没什么，反正我现在还那么小，还有那么长时间，我现在有那么多些东西没吃过，还不如好好的玩一玩，放松一下，而且我还要考高中的，然后考上了高中就可以考一个好的大学可以找一个好一点的工作，拥有好一点的生活，就算再糟糕的话也没关系，因为我成绩也不算很烂，我知道我自己成绩也摆在那里，我也知道我可以考什么样的分数，只一些些失误而已，我都不在意了。倒是我朋友一直看不开，我只能想方设法安慰他喽。 ，那肯定是有的呀。我周围的朋友肯定是有一些人会这样子的，反正他们担忧，但是我尽可能的也会安慰一下他们吧。 就是对成绩什么的有点慌吧，其他是没什么感受，要是作业没完成的话也会慌，因为怕老师或者家长就是成绩考的不好，老师又发给家长了，就非常的慌。 其实影响也不大吧，就是呃在生活中的话，可能可能会有一点摆烂。嗯，学习也是有点摆烂。但是但是知道这样是不对的，还是会有一点，还是会有一点不太不太好说，还是会很焦躁吧。 呃，这次考试成绩有一点差，所以也是英语考的非常的不好。然后嗯语文考的也有点不太好吧，但是报了个英语补习吧，应该还是能有点用的，就希望自己成绩能提高一点。因为现在初二了，希望能考到一个好的高中吧，女孩呀，祝你加油。 我喜欢玩游戏，然后手机不忙了，玩玩玩下游戏，刷一下短视频什么的，然后寻找一些慰藉吧。 呃，在周末生活的话，我会熬夜，就是跟一些网上朋友熬夜打游戏或者聊天。哎呀，我知道这不好的行为，然后生活也很不规人律，像我也是蛮不规律的，我也是非常的烦，但是但是呢还是也是还可以的吧，我也不知道我要说什么，反正现在心情就是非常的无所谓了。哎，没什么兴趣，就是很无所谓。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_132/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，开心。 听音乐 听音乐。 没有 事事顺心，成绩很好。 呃，多听音乐，对。 陪同学过了生日 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_135/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我们喜欢打游戏，吃零食写作业。 呃，玩游戏使我快乐，什么都使我快乐。同学来我家使我快乐，这就是我的秘诀，我的秘诀就是要取得更好的朋友，好吧。 正好看来啊。 没有没有，我自己来缓解。 不好意思，我不相信你会保护我的秘密，不能告诉你，抱歉，拜拜。 很明显的，肯定会选择平静和开心啊，这样子才让我更开心嘛，对不对？ 没有没有没有没有没有没有没有没有没有没有没有没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_136/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "就是感觉周围的世界感觉都没有意义，就是活着感觉没有什么意义，就是活着嗯就是为了被爸妈打，或者是没有空余的时间玩，然后疯狂学习就感觉还不如嗯重新活一次，然后活的更好一点，感觉现在很烦，感觉什么都不如意。 我也不知道吧，就发发呆，就也不知道在想什么就发呆，要不然就在纸上乱画，用来打发时间，因为不知道干什么，也没有特别喜欢干的事情。 呃，这怎么说嘛，就是也是那件事吧，而且就是放假回来。然后呢嗯我爸就在那说泡温泉是因为我们要去就感觉嗯好像是为了应付我们一样，为了应付问题，然后才去的，就感觉有点难受。 最有趣的就是这个国庆，我和我们家人一起去泡了温泉。然后呢，放假的时候，我我还可以玩放松一下自己，然后玩了一下游戏。嗯，看了一下动漫那种我喜欢的动漫，然后也吃了很多好吃的。 呃，父母不理解我，然后父母不理解我，然后强迫我学习，然后考的好，考的不好的话还会被说，然后被说就感觉很难受，就心里有一股说不上来的滋味，就是反正就很想哭。然后呢，嗯感觉没有人理解我，然后我只能把这件事情憋在心里面。 就是我被我妈冤枉了一次，我只是想让他道一下歉，但是他就不想，他觉得嗯他不应该对我道歉。然后呢，最近的学习他就让我考六百五十分，但是我不可能考到这么高，嗯，害怕他会对我失望。 应该有吧，就是会很伤心，经常经常拉着个脸的，就是没那么开心， 呃，差不多是学习，让我有时候想到这件事情，然后就会出神。生活的话呢也就那样吧，其实影响也没多大，就是学习要是突然想到这件事情的话，就有点想哭，他又不敢哭出来，影响还是有点大的。 就感觉很烦，不知道为什么总感觉很烦，但是不知道哪里烦，就是感觉睡都睡不着心，里面总有一点事情，而且感觉因为家庭的关系，然后有点不开心，就和家里人没走的那么关系紧张。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_139/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我会选择开心和平静。 我和我的好朋友周末会经常一起出去玩，还会一起在图书馆里看书学习，讲一些发生的事情。 最近的学习状态还不错，但是觉得自己的学习还可以提高，这样的话可以取得更好的成绩。 我身边目前没有这种状态的同学和朋友，他们和我一样，都每天很开心而有认真的生活吃饭。 我在空余时间喜欢听歌写作业，或者是做一些自己感兴趣的事情。比如出去跑步和打羽毛球。 就是不要在意他人的想法，别人说的事情不一定是对的，只要做自己。 我会选择去做一些自己感兴趣的事情，做一些自己感兴趣的事情。例如听音乐、唱歌或者是去干一些其他对生活和家人没有害的事情。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_142/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有这种状态的同学和朋友 出去运动或者听音乐。 心情愉悦。 保持自己的兴趣爱好，放松自己。 上学状态很好，晚上睡很香 打羽毛球，听音乐。 我一般早上起来洗漱吃早餐，然后看一个小时的书，然后休息一会儿玩会儿手机吃完中午饭后两点左右出去，下午出去打球 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_143/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，考试成绩不好，然后又被老师说了几声。呃呃，老老师说什么我都有点听不懂成绩考的那样子，我又没法跟爸妈交代考的不好，没有高中读，我以后就没有什么光明了。 家里爸爸妈妈都很忙，所以平时都是我跟我哥出去去玩，我跟我哥出去去玩，我也没有什，我也不知道怎么什么好玩的。他除了带我出去吃，也没有什么。最近国庆这几天回到老家，人家给我了好几百，我就出去买了个篮球，自己出去打，我和家里人关系还挺好的吧。反正我爸妈就是那种一会儿一会儿很温柔，一会儿很发很发飙的那种。我接受不了爸妈这种这种模式。我哥哥，我俩我有两个哥哥哥哥哥大哥，在广东广州那边，然后大哥现在在肇庆那边读大一，我大哥毕业了。所以平时我爸妈在店里面只有我一个人在家里，但是有的时候回来的时候，总是总是我那两个哥哥带我出去玩，爸妈都没带过我出去玩，对啊。 空闲时周，我会打一会儿篮球。 成绩老是考不好，然后同学们都说我很很很丑，走路又有点歪，反正就是个人个人的身体素，身体差，被他们嘲笑，然后还给我取外号。然后这几天考试呃，又考的不好，好多没有及格。然后爸妈爸妈家里条件又差，说考不好，又又要去了，回老家读。 呃，晚上跟同学聊天，发现朋友背叛了我，搁这拉黑了。 我会吃一点东西，然后跟别人诉说，可是有的时候诉说别人也会说我这个人的就这样子。所以我都是有时候会在闷在心里面，或者回去跟爸妈说一下，可爸妈又不会怎么去听你爸妈也忙。所以有些事情我一直都憋在心里面，我也没有什么方法去缓解。 朋友的朋友的骂声，父母的不责，还有我的无力，呃，我自己也不知道怎么说。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_146/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我喜欢打打牌，打打羽毛球出去看看风景。有时候呢我还会看我书打，比如还还还会打会游戏，甚至还会有时候内卷。 我会出去深吸一口气，看一看风景，去打打篮球，打打羽毛球，放松一下自己。 完成所有的任务，并并且并且有时候放松，他是并且有时候放松叫自己，不不要让自己太累。 身边没有这样的同学，身边都是些乐观的同学，他们没有这种症况，他们都很乐观，包括我旁边那个人啊。 嗯，happy read wood非常的平，很开心，很高兴 到周末的时候，我会和我的朋友玩，包括那个什么罗我旁边的朋友那个什么罗军勇，我又和他一起去玩，怎么以为去运动打篮球，我也会偶尔偶尔的打会游戏放松一下。总的来说，还感觉周末挺有趣的， 呃，最近学习我感觉还可以，感觉不怎么累。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_153/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我的身边没有这样这种状态的同学和朋友。 呃，做我喜欢的事情，比如看书踢足球的。 我喜欢看书。 我一般星期六会在家里写作业，星期天我会和家人出去玩，或者自己去图书馆看书。我觉得最有趣的那个周末，我和我的另外七个同学一起去国贸去玩，没有大人在我们把整个国贸都逛遍了。 平静。 最近的生活中并没有什么特别不寻常的事情，我很适应初中的生活课程，我都能了解并掌握，没有什么令我感到焦虑的事情。 我会去图书馆看书，去外面玩一玩，缓解一下。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_159/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，有一些吧，就比如说他们其实有一些这样子的烦恼，导致他们就是对于学习可能就呃就是对于学习上的一些就可能比较麻烦吧。因为这烦恼过多，就难以让自己定下心来学习什么的吧。 嗯，如果是在学校里的话，可以可以跟同学们聊聊天。如果是在家里的话，我我一般会选择呃打开手机刷视频、刷视频，还有打游戏的来放松一下，呃，来放松一下，缓解压力，或者是看一下呃，或者是看一下自己喜欢偶像的照片，然后来让自己变得开心。 保持着天天，就是天天开心的想法，就会让自己一直开心。 嗯，最要好的朋友有四个，然后跟他们发生的故事，就是比如说在宿舍里面，我们会嘻嘻嬉戏打闹嘛，然后就会比较开心。然后比如说就是呃面对在学校里面，有些人在在呃在给我们的一些一些字迹。那比如说在课桌或者是在墙壁上留下来一些涂鸦，我们看到了会互相就是互相传阅，然后呃就是会会互相告知，然后呢大家一起一起嬉戏，对于这方面就是比较嗯开心什么的吧。 最近最近的话就是慢慢释嗯，慢慢释怀了考试没考好的一些一些问题吧。然后就想就是脑子里面就想着天天开心，就天就想着天天开心就好了。然后不要考虑太多问题。嗯，当我感到焦虑的时，当我感到焦虑的时候，我想着我静静的哭几场，然后想用眼泪来宣泄一下我的烦恼。然后这样的话我就可以缓解我的压力。然后但其实有一些有一些有一些问题，始终是心里的一根刺的。我会但我会淡忘他，只要我不去提起他，他他就不会是我，他就不会是我心中所烦恼的。 平静。 嗯，就是就是比如说烦恼的时候，可能对朋友或者是老师就会有一些不太友好的态度。呃，因为因为情绪这种东西收放收放很难的嘛。如果说当我处于极度愤怒或者是极度悲伤的状态里，我可能会不管不管是何人，我可能都都不会是以很好的态度来面对。所以所以说这会给我的人际交往带来一些很严重的问题。然后如果处于这种状态的话，我可能对于学习学习这种上课，比如说比如说上课的话，就可能很难静得下心来啊。如果说是如果说是写作业的话，就可能就是进入状态，然后静下心来写作业，可能就是写着写着就会走神，然后去想去想一些关于这方面的问题 嗯，比如说家庭有一家庭父母吵架或者是是考试没考好，考试没考好。呃，考试没考好，还有呃学习压力太大，然后跟同学相处的不太愉快，然后会过于在意他人的看法，主要是家庭一些矛盾，使我比较困扰，使家庭矛盾使我比较困扰。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_162/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，身边的人并没有处于这种状态。 嗯，最近的学习情况呃，比以往的比较好，学习压力也不是很大。 空余的时间，我会选择和同学聊一些关于学习上的知识，或者看一些课外书。 嗯我会保持自己的心情，呃，努力的让自己呃平静下来，遇到挫折也不会灰心。 我可能会适当的放松，呃，听听音乐或者是独自在独自出门散步。 周末，我我会一般会先预习一下所学的要所学的知识之后，会开始复习上一周的学习内容之后会开始写关于这一周末的作业之后，会适当的放松之后，在开始学习，学习完之后会再适当的放松。 平静平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_179/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "转移注意力多做一点呃，自己感兴趣的那些兴趣活动。 嗯，我的呃就是我一直都处于积极向上的状态，就有时候遇到了一点挫折，会有不超过一天的时间，处于在情绪低落的状态里。但是我会自我安慰，觉得应该向前看，而且生活也没有什么非常不如意的地方。我会继续通过转移注意力、培养兴趣爱好等方式来保持一天的活力和希望。 没有，我身边的同学和朋友都跟我一样积极向上。 平静 我最好的朋友有两个，一个是我的同班同学，我们经常做什么都在一起，然后相处的也很融洽。另外一个好朋友是在隔壁的班级，虽然他在我隔壁的班级，但是他是我最好的朋友，他比啊同班的那个朋友更好一点。呃，可能是因为我们认识的更早吧。我们周末的时候经常一起出去玩，有时候会一起看电影。 嗯，学习成绩还可以，在前十以内，家里也没有发生其他什么事情，一切都很正常。 在空余时间，我大多数都在玩手机。除此之外，我还会看一些感兴趣的课外书，还有，有时候会偶尔会画画，偶尔会出门做些运动。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_191/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，我认为我的学习应该更加努力，生活应该趋于三点一线的标准生活。 啊呃我喜欢在空余时间里放松自己的心情，去眺望远方等等，来放松一天之中遇到的烦恼事情。 呃我感觉最近考试考试我平常的水平也就那样子，学习成绩很差，为一年之后的中考感到压抑和难过，要好好努力，等画完就再买一个。 我每个人的心中都有一段令自己奋斗努力的目标，这也是能够一直激励我们之勇往直前的东西。这个米也就是算了不说了。 嗯，呃我最友好的朋友有曹一凡，他总是跟我分享一些他情感上的事情，我们同称坦诚交代，但也不算比较要好的朋友。因为初中时期，交友不应该过深。 有的我身边有处于这种状态的同学或者朋友，他们也在为学习而困扰。 呃，最近因为考试很快，中考，现在学习也不好，所以说感到比较焦虑，晚上睡觉会有点不太好。 呃呃，学习不太好，学习非常非常不好，目前学习状况使我感到焦虑， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_194/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "开心。 过得非常的愉快，跟同学相处非常的好，睡眠非常的充足。 没有什么秘诀，就是天天笑一笑。 静坐想想自己，然后缓解缓解心情。 我喜欢去打篮球，然后或者去打羽毛球。 一般先下午写完作业之后，和朋友出一起出去打篮球，然后回到家晚上的时候看会儿手机放松。 嗯，目前没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_195/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，其实呢呃怎么说呢？我感觉最近学习压力确实有那么一点大，毕竟七科嘛，但是我还是可以接受的，有时候背书任务也是比较多，但是但是但是我认为这样子也挺正常的，毕竟现在初中嘛，而且我爸跟我谈了，他说有什么呃压力都是可以跟他说的。所以我感觉我现在精神状态还是挺好的嗯。 嗯，遇这种情况其实我也不是很清楚，毕竟我也没有遇到过。但是如果是这样子的话，如果在家我可能会跟我爸说一下，毕竟呢我爸都是很愿意跟我谈的。所以呢我一般这种情况是不会持续太久的。 不愉快的事情倒是没有，但是呢我并没有觉得最近的生活很令我开心吧，有点枯燥无味。嗯，在学校呢都是学习是比较无聊的，这令我有点糟糕 看书吧，我家里有很多书都是我爸给我买的，我爸非我爸妈都非常支持我看书。不过在学校我看的一般都是学校要求那些名著，我不会看一些科幻书。但是在家里呢，我会看一些自己喜欢的书籍 我的朋友有很多个，但是呢我只有一个最最最好的朋友，他呢和我不是同一个学校的，他是别的学校，但是呢他跟我是同一个小区的，我周末呢还是可以跟他玩。我还记得国庆的时候，嗯，有一次我们两个六点骑车，然后呢去江边看日出，日出非常美，我们拍了很多照片，还发了朋友圈。而且我的我的国庆假期有一半都是跟他一起过的，我们去商场购物，然去看日出，然后还骑车一起去了很多地方玩 行，嗯，平静吧，毕也可能呃，无聊吧，无聊吧。呃，我最近是挺无聊的，就感觉比较呃生活呢感觉都差不多。就上课写作业背书，然后又去吃饭，下午又洗澡，然后回来晚自习，感觉现在生活是的，学习生活是挺无聊的 的心虽然呢我身边的人都说呃，每天好多作业要背好多书，但是呢他们也能呃完全的，他们也能写完，也能背完，就在一定的焦虑过后呢，这种状态就是完全没有了，只是呢有时候作业多或者背书，多的时候还是会吐槽一下。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_198/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "劳逸结合，该玩的时候就要玩，该学习的时候就要学习。 向好朋友们倾诉，或者向父母倾诉，或者向老师寻求帮助。 没有的，我身边的同学和朋友都非常的自信乐观，快乐。我身边的同学和朋友们都非常的自信乐观、快乐。 考试考太差了呃，爸爸妈妈的预期没有达到。 平静开心，快乐。 我最要好的朋友，有一个他是一个学霸，他的学习非常好，我们两个经常在一起玩。然后有一次我有考差了，他来安慰我，这让我非常的高兴。呃，然后我很我很高兴我能交到他这个朋友，所以他不高兴的时候，我也会去安慰他。 在学校空余时间，我喜欢做题，在家里空余时间，我喜欢打游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_199/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯朋友帮助，还有自己心情放松，情绪放松。 开心高兴，嗯，心花怒放吧，感觉有点，因为这几天成绩考比较好。 最要好的朋友的话，应该有七八个，首先是班上自己的同学啊，和他们玩的都比较要好。还有其次在打游戏的时候，认识了一些网友，不过离得比较近嘛，所以就线下都见过面，就在国庆的时候，和自己的那个网友天天在一起双排打游戏，感觉挺快乐的。最重要的是嗯，这样聊天，聊的比较开心，属于那种比较细节的，回信息都一条一条回那种。挺开心的，没有，很少有人这样对待。 月考考试考的还不错，大概有七百四十九点多分，心情比较好吧，回家可以有交代的。 大概是一周的话，应该有四五次。 嗯，听音乐或者是自己哼哼歌吧，缓解自己的心情，我找朋友倾诉也可以的。 嗯，比如说自己最近都不爱怎么听歌，也不爱怎么看小说。 大概这几天国庆期间的时候玩游戏吧，然后呢打的不太顺利，挺不开心的。还有上周月考的时候，总感觉自己成绩考不好，所以就很比较担心担忧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_205/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会我会我会经常手冲啊，我一天手冲四发，我跟你讲，我跟你我经常会手冲啊，我最喜欢手冲了，我我最喜欢手冲了，我都我一天手冲四发。 非常的beautiful,也是非常的好好吧。也是比我旁边的废物主播考得要高，我非常的开心，好吧。 你看你看这提纳里还伤害没有我高。哎，这什么鬼。他妈的跳个这个玩意儿，不要不要不要不要我跟你讲啊，我提纳里可可是可是可是现在如今最强的比我比我旁边那个废物他妈更强，我跟你讲。 啦啦啦啦噜噜噜噜 我我我每天手，我坚持每天手冲一发，所以我现在非常的精力旺盛，好吧，这个是我的秘诀。 我的好朋友有两千多个，而我最好的朋友是我朋友的主播，他虽然他知识不如我，他虽然他体体育只比我高了一秒钟，他妈也，干啥啥不行，他妈吃啥啥不剩，妈的就是废物来的，他就是个摆烂的东西。 对抗路之后，还有不在一半，一半直接被落空，直接一杀，直接带走好不好？我们直接刷去中路去兵兵线，做完兵线，看到对方打野，直接一个小伤害。那你你说你多少万来着，你说多少万来着，阿巴阿巴阿巴噜噜噜噜噜 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_207/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我不知道，没有。 开心。 翻唱k top歌和画画。 找心理老师。 跟朋友一起出去玩。 最近月考成绩发下来了，还可以。 保持平静的心态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_209/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "平静无聊。 还行。 求助老师或者家长，让他们帮我缓解。 我喜欢打篮球，偶尔玩一下游戏。 做自己喜欢的事情，让自己放松开心。 没有。 相处的很好，平常是相互理解，沟通的不会发生矛盾。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_216/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会与朋友进行交流，向朋友诉说我最近的困扰，或者向心理老师或者班主任诉说我的困扰，让他们为我提出有帮助的方法，或者我会做其他事来转移我的情绪。 嗯，开心平静，但有时也会稍显无聊。 嗯嗯，有时会跟我的好闺蜜一起练字画画。有时我会去看我特别喜欢的动漫去看里面我喜欢的CP？ 开学后与同学的相处很不错，我也迅速投身到了学习当中。深入九年级所接触到的新科目化学也也很简单。在最近的一次考试中，我个人认为我的化学发挥是挺好的，并且与同学们的交流与日常交往关系中也没有出现很很大的冲突，基本上都是以朋友的关系进行相处。 就每天保持乐观的心情看待事情，不要一条路走死。 在我所接触的人中，我认为是没有的。 哦，最要好的朋友有三四个，由于他们曾经我与他们从小学就是朋友，至今我们都关系很好。小学的时候，我们经常会一起出去玩。嗯，我记得有一次我们到一个广场上玩，发现了一只发现了一家图书馆，我们便进去看了一下，后来有一个人发现了一本很有趣的书。所以那一天我们都在图书馆和他一起读完了那本书。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_224/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "有。  What? 麻烦让学校做的饭好吃点，谢谢。 我写作业受到影响了，之前写的老快了，现在写的太慢了。 写作业、打游戏，躺在床上睡觉，没什么有意义了。 转移注意力。 惊喜不定。Ok. 乐观向上的心态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_225/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "开心吧。 如果我遇到这种情况的话，我会采取先放下手上的一切事情吧，来放松自己。比如听听音乐唱唱剧，打一打游戏，然后呢和同学朋友亲人多沟通一下，说一下自己的不开心什么的，或者出去玩也是可以的，其实很少，这样吧，主要还是目前的状态还比较好。 这几天的学习状态确实还行。嗯，就是每天按照日常的课程来来吧，就是有时候课程也比较紧嘛。哦日常课间的时候就背背书什么的和老师。然后呢，平常就和朋友一起玩，然后呢，晚上日常的作业也及时完成啊，嗯课程也真的上呃现在当前的状态呃感觉比较好。 我最后要好的朋友有三有三个，我特别喜欢他们和他们玩，其中就是其中有一个是我认为最最好的一个就是他他和我一样也是走读生嘛，每天晚上回去的时候也聊聊天，说说说一说晚上回去干了什么，然后呢晚上什么时候睡，特别特别有意思。然后呢，每天我们下下下课的时候，我们三个都会，我们四个都会一起去上厕所去玩，去嘻嘻哈哈讨论一些有趣的事情。还有一个就是这学期嗯刚认识的朋友吧，他人特别好，我特别喜欢他的性格，就是上一周我和他一起去下面买饮料，结果那个贩卖本来他有二十块钱，结果他把二十块钱塞进去的时候，他退钱的时候退不出来了，结果就是硬生生的买了五瓶饮料，真的好，有意思。还有一个呢也是一个特别好，特别特别好的朋友，我我也挺喜欢他的。我会有时候会和他讲述我一些的不开心。嗯，那不不开心不快乐的一些事情，他也会为我分担安慰我。所以我觉得这三年来来的话，就是交了这三个朋友，特别特别的开心，就是每一天每一天都比较开心嘛，不会无聊。嗯，就是感谢遇到他们吧，就是让我这就这三年里面嗯不会那么孤单，就是有快乐的回忆。 也没有吧，就是尝试怎么样的，现在就是尝试实践出来了，嗯，就不要太记仇的就好。 我身边没有这种状态的同学或朋友，他们都比较开朗活泼吧，压个不放心。 妈的，就是每天开开心心的吧，保持着好状态。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_230/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "在我的记中，这种朋友的话，好像的是有一个吧，但并不是很严重，没有影响到学习生活，学习还是之前那样子没有变动，生活也都还好。 我最好的朋友的话有四五个那样子吧。不过他们都是在小学六年级以后分开了，就是那些朋友只是小学朋友初中的话，还没有相处的时间还不够长，不能还不能找到比比较合自己心意的吧，我最好的朋友先给你讲讲我们班的班长吧，他的学习成绩很好呢，有时候也很有趣，比较搞怪，时不时的话就会讲一些网络上的梗来逗我们笑。一个人我们的话都是属于比较喜欢看小说的，比如爽文呐，有爽文甜文什么的，我就觉得挺好看的，跟他也就聊到一起去了。后来的话跟他在一起，我出我有一些坏有病，好像也是改掉了不少。如果要讲有趣的故事的话，就是有一次我和他一起去按一个这边的振兴城玩的时候，他抓娃娃娃花了几十块钱，抓不一直在抓你们一个娃娃，就是抓不上来。当时的话就是要给我笑死了，我就这么多钱，我自己就能装两三个那样子了，他一个找不到，我给他录下来了，那表情好挺搞笑的。 如果有材料的话，我会选择区域做些手工，画画，看小说。 如果是我的话，我可能会去做一些让自己开心的事吧。比如的话和亲人待在一起，或者就是说我去买一件好吃的犒劳犒劳自己。再者就是好像没有啦，就跟亲人朋友什么的，聊聊天啊，出去玩啊，买些好吃的什么吃，不仅喜欢吃甜的，因为甜的容易有开心。所以我要是这样子的话，我可能会买甜食来犒劳自己吧 月考成绩发下来的时候，我是有点不开心的，除了英语，还有数学，应该是还有数学的吧，毕竟数学呃也还好吧，除了数学和英语，其他的都没有考到理想分数，就比如地理没有及格加油，还有语文，我的理想分数的话是九十多，这次只考了八十多，就呃有一点小失落吧，数学也不是特别理想，我就是在想我可能能考一百一的，但是成绩出来以后只考了九十八，然后在今正做题的时候，发现老师有一题改错了，但是成绩已经提交上去了，就算把分数就算把那三分日加回来也没有用。就本来是一百零一的，监考老师改错了，就只有九十八了。但是一看就有一点惊讶，自己这次的发育好有点失常了，但高兴的是数学最后一个大题，我做对了，毕竟那天还挺难的。 你们这边拿就是的话，上了小升初以后，学科变多了，从原来的三科变成了七科，但是还好至少能跟上。就是地理的话，对我而言有一些难度，这次地理月考只考了五十八，并没有及格，就还差一点。本来是可以及格的，但是我不会搞得焦虑，因为人都有发挥失常的时候嘛，最近的话就是感冒了，鼻子有点堵塞，声音好像又有点哑的样子。不过总体来说还是很好的。 如果用一个词来形容的话，我就觉得就无趣吧。因为我不是那种特别待得住的人，我就比较活泼好动，所以上课时候就会有些无聊。 很简单啊，好似乎的话已经没有什么秘诀吧。我就觉得来学校能和同学们聊在一起，很开心。希望的话，就是再回补我的地理吧，数学考老高了，地理我是真的差一点点就及格了，疯掉疯掉。，等回家了，我必须吃顿好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_231/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "最近的话，月考成绩的颁布给自己找准了在班级中的定位也发现了自己的一些不足，还是觉得自己没有用尽全力分数没有达到自己比较理想的效果，但也找到一些生活中比较有趣的地方。听了喜欢的歌，然后呢也参加了学生会的竞选，竞选将要来到，就觉得还是心里觉得有一些紧张吧。然后呢，也觉得自己应该加强课外阅读。古诗文的阅读现在也是现在也有越来越不懂的了，希望自己可以多一点课外扩展吧，也希望自己可以越来越优秀，希望下一次考试可以进步一些。嗯，还有就是希望自己开心一些，还有就是希望自己开心一点吧，也挺开心的。其实 我觉得自己深呼吸，然后呢去做一些自己喜欢的事，听一下自己喜欢的歌。然后呢，多看一下视频，放松一下自己，觉得就会让自己的心情有所缓解，也可以寻找家人或老师的帮助，找一个突破口去倾泻。 只要对自己有信心，然后呢认真的去做好每一件事，在每一件事来到之前做好充足的准备。 一般的话因为上了一星期的课，已经非常疲惫了，回到家里会先选择吃一顿饭，或者说先看一下手机，我比较嗜睡，容易犯困，我可能回到家也会先睡个觉，小憩一下。然后呢，周末的时候，一般先会把作业完成。因为我觉得如果作业完不成的话，就是整个人就挺提心吊胆的。然后呢，我会先把作业完成别人写作业的时候呢，我会听自己喜欢的歌，会让我写作业会感觉更有效率也更加放松，就会感觉很开心。然后呢，周末有意思的呃话最有有意义的应该就是和朋友出去玩看了一些最近比较有深刻的电影吧，或者说周末去辅导班的时候被夸奖了，这会这也会让我觉得很开心。 平静吧，认真的做好每一件事，与平常没有什么样。 虽然看微博，然后呢听一些自己喜欢的歌吧。 我觉得没有吧，就是周围的同学都很友好，都很开心，周围的学习氛围也很良好，也促使着我更加努力，想成为与好朋友相互并肩的人们。然后呢，在我不开心的时候，同学也会鼓励我什么帮助我，我觉得周围的同学都很好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_235/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我有一个朋友有这种状态，但是呢他是因为他家养了一只小鸡，但是呢然后呢他死掉了嘛，他就一直处于这种状态中。然后呢，学习上的话，有可能也有些困扰这个情况。 我一般度过周末的话，是先写完作业，再看一会儿书，看一些我自己喜欢的书，或者是做一些我爱的兴趣爱好，就比如说听歌打羽毛球滑冰之类的。但是呢我的周末啊也非常有意义，可以和朋友一起玩闹，也可以互相互问问问题，就比如说我不会的话，就可以请教他去问他，让他教我怎么做。他不会的话，我就会告诉他这题怎么做。 我喜欢用油棒画画，或者是有时候呢给我的宠物喂一些粮食，洗一个澡，让它干干净净的，或是整理一下房间，看一会儿书籍多多多的积累课外知识。 我会用我会用我自己喜欢的兴趣来缓解这一些。就比如说我喜欢画画或者听歌，来缓解这一些情况。 我感觉非常的平静，因为有些事情的话，我已经在以前发生过，但是呢有时候也会会感到很开心。因为有一些很搞笑的事情，会让我觉得心最近的心情很好，也是很想笑。然后呢很平静的话，就是因为我的学习成绩好，大概都知道，也和以前的话差不多，所以呢心情的话也就很开心，很平静的吧。 可以。但是呢最近的学习情况还行，但是呢有几科不是很好，但是呢我会但是呢我可以多加努力的去学。 因为我以前呢也是这样子想的，但是呢现在的话也变好了，就是你多多用乐观的心态来面对现在，敢于前进，不要放弃。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_241/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有秘诀，我心态就挺好的。 我有好多好朋友，然后我跟我一个好朋友，最近就是一起学习，然后进步很大。然后我们两个一个班级，第一，一个班级，第二就特别高兴，然后班级前五全都是，不也不全，都是有三个女生，就只有两个男生。 让我的生活变得比较充足，我学习也能提升挺大的。 没有 开心。 就是感觉之前学习不是很开心很累。然后现在因为心情好了，学什么都感觉很快，很高兴。 感觉还挺不错。 考的还不错，我考的还挺ok的吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_245/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯每天和同学一起玩儿，一起学习，一起复习，一起背书。是好嗯课余时间背书，或者在晚饭时间去运动嗯。 做做体育运动、听歌看书和朋友聊天或者和父母沟通。 是嗯我会多听音乐或者睡一觉，或者和父母倾诉和朋友倾诉，或者嗯出去逛一逛。 嗯，我和父母相处方式是像就是经常沟通，然后都是很平静，像朋友一样的沟通，然后也会倾听我的意见，然后我也会按他们的是话去办事儿。 嗯，没有。 遇到不好的事情向他人倾诉，然后将问题解决，然后保持活力和充满希望，然后天天开心。 开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_248/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "担心考试考不好。 嗯，玩游戏。 最近的感受对比从前较好了一些，因为成绩基本出了，而且考的还不错。 乐观的看待每一件事情。 几乎每天都会发生。 平时基本不怎么说话。 呃，上课无法认真听课，写作业不够认真。 曾经成绩没我高的人，成绩比我高了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_253/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我周五回家看电视，放松一下，然后周六做作业，到了星期天又要继续玩，然后可能星期六或者星期天晚上会去打打篮球，然后上周国庆去去了深圳广州，感觉挺好玩的， 平静开心。 平常认真上课，然后可能偶尔会有，但是可能偶尔会有走神之类的，不过还好。 呃，我会听听音乐，然后去运动。 发发呆，做做运动，听听音乐，想想以前的趣事。 我的话我对困难的事不管他，然后想想开心的事，就算收到了批评，我只是笑一笑。在作业很多的时候，我会选择写作业，写作业，然后写完作业之后，我就会感觉到心情会好了许多。 我目前没有发现。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_263/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "最近就是身体不太好，其他方面都还算可以。 好像没有。 我们平常是在去学校的路上跟来回的路上会说一些事情。 在写字这方面以前是十分愉快的，而现在感觉写有点像在罚抄 前段时间我经常被我经常得不到父母的理解而感到溃挫。 嗯，出去放，出去稍微放松一下。 当遇到父母不理解时应该怎么办 时间分配不够，学了一科落了一科。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_269/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "作业按时完成，上课认真听讲 我会采取画画、听歌等方法来帮自己缓解。 他们白天出去上班，然后中午的话会回来给我们小孩子做饭。然后就是嗯晚上嗯十点或者九点左右下班，早上七点多去上班吧，然后周末周天那些的时候就可以一起一起出去玩儿。 呃，开心吧。 我喜欢就是看一些书，然后听歌吧，然后我还比较喜欢画画。 应该没有吧，因为我身边的同学好像都挺挺自在的。 可以没有秘诀。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_271/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "早上去游乐场，下午去看电影，晚上回家看电视。 和同学分享嗯通过自我疏导的环节。 我身边并没有。 我嗯嗯上课听讲嗯，吃好睡好，都还行 平静波澜不惊。 闲下来的时候，看一些书打发时间，学习里面主角的精神。 呃，我喜欢看书，看课外书，或者写一些数学练习题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_274/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "不想说。 没有没有 不想倾泻 玩手机 什么也没有。 心烦气躁。 有一点影响。 不想军训 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_279/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有。 强制睡眠。 腿受伤了。 拥有一个梦想 思考发来。 一个，一起去玩吃饭，一起玩吃饭，打篮球，精神饱满。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_286/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，没有。 呃，不知道就无端端就这样子 在在星期六那天，我与家人吵了架。 没有没有没有。 我喜欢看书，还有与朋友聊天，与朋友玩耍 呃，我和他们平时相处的模式还可以。如果我遇到困难的话，他也没他们，他们也会耐心聆听，我会给我分析，然后会给我好的方法去解决。 不知道到 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_292/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "呃，转移注意力和朋友聊天，呃，找一些能让自己开心的事情来，保持好的心情。 没有。 开心无聊、无语、烦躁 呃，把注力注意力放在自己喜欢的事情上面。嗯听歌或者写作业转移注意力，不让自己想到那些令自己烦躁或者不开心的事情，嗯，多跟朋友一起交流谈心，一起去玩，散心，让自己的心情开心一点 没有啊，嗯担心自己的成绩，呃不是特别好，考试的成绩没有达到自己理想的目标 诶，呃，例如成绩，呃，考试考差了会感到非常的沮丧。然后，然后学习没有动力，感觉到非常的，嗯迷茫。现在现在心情愉悦，没有什么烦恼的地方。 我一般周末都是在补习班度过和作业中度过，嗯最有趣或最有意义的周末里面发生了就是在上完补习班之后，跟家人一起去附近的商场买吃的，然后逛街，让自己的心情舒缓了很多。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_294/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "像我有些的没有。 哎呀，我一般宅在家里，然后很晚起床，有时候不想吃早餐，然后在家里写作业看书、看平板、看电视，有的时候就会出去走几步，都走几走几步路。有的时候最有意义的话，可能就是之前去放风筝吧。 哦，第一话有个考试一直在复习，然后感觉学校的生活真的好忙碌啊，没有之前的悠哉悠哉了。 嗯，作业没写完，怕被老师骂了。 嗯，不知道。 最近我总是睡不着，晚上。 嗯，我的爱好是画画，然后呢之前的话是很喜欢画，这有可以画的，就基本会画，但现在的话我根本不想画了。 嗯，就是想多想想开心的事，多想想回回家后可以玩的东西。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_307/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "平常我的父母都是挺关心我，呃，然后呢对我也挺好的。但是呢我爸呢一一说到手机，他就跟手机过不去一样，就一什么都不给我玩，然后就很烦。 运动打球。 自己去自己调节，然后呢，可以跟老师家长或同学诉说一起想解决的方案。 主要是之前呃在之前也是住宿的，然后呢，也很快适应到这个集体当中。 没有。 多交朋友吧，然后还有多运动可以分泌脑袋的多巴胺 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_308/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "就是比如说会在生活中去发现一些很有趣的小细节。然后比如说自己学习，在晚自习结束之后，会喜欢抬头看一下月亮。因为我一直觉得月亮是最高级别的褒奖，然后或者是低头去看自己的月下影，就是在乏味略有乏味的生活中去发现有意思的小细节，然后就是努力让自己购买很充实的每一天。 好像是有的吧，但是不清楚不了解呃，嗯不知道。 有为什么嗯很要好的朋友，我也不清楚是几个，他们是非常非常非常好的亲友。比如说呢有一个很好的亲友，他他会的很多会给我分享他给猫猫吃的猫粮，还会自己做曲奇、饼干和牛轧糖之类的，然后寄给我们吃，然后我们会一块分享自己在生活中就是很多有意思的东西。然后呢平时互相督促监督催促之类的，还会打电话一块唱歌，或者打电话用奇奇怪怪的变声聊天。我们有很多兴趣一样的地方，还会分享自己吃的什么，还有呃自己家里的小宠物之类的东西。 嗯，比如说我平时喜欢就是进行一些比较，嗯，不是以创新形式呃做的创作，然后以前很热衷于做这样的。嗯，但是因为学习压力比较大，然后呢觉得自己平时就是做什么都没有时间，全心全意将时间都花在学习上。所以说兴趣爱好之类的基本就没有时间去对他一个进行。之前呢，就是平时有兴趣的时候就会进行这样创作之类的。但是现在呢就是嗯以前还喜欢在周末空闲时间去打羽毛球。但是现在呢周末基本就是在家里玩手机，然后呢，在学校的话也没有说有这些自己的兴趣爱好，然后都是，然后都是就是放在学习上，但是对差不多这样。 嗯，比如说就是很快就要第一次月考。然后呢，因为在国庆假期的放纵懈怠并没有进行很好的复习之类的功课。所以呢现在就是处于时间非常紧迫，但是感觉时间过得很快，觉得自己有用心的去利用每一分钟，但是就是感觉自己在做无用功，这样然后月考又非常的临近，就是感到非常的紧张和焦虑之类的。然后看到别人都在努力的学习。虽然自己也在努力的学习，但是还是会感到非常的非常的紧张焦虑。生怕自己考，不过别人。生怕自己月考，没有办法发挥出好的成绩。这样，然后在学校就是比较用功，但是在周末就是非常不自觉，然后比较像比较想和朋友交流，然后就主要就是因为月考这样，嗯，主要就是因为月考。 呃呃呃 最近的感受非常紧张，焦虑，没有坐立难安，但是夜晚睡不着，在床上辗转反侧，久久难眠，即使眼睛已经十分疲劳，但是身体上翻来覆去，睡不着，白天感到焦虑，因为学习方面的感到紧张，每天都感到紧张。 嗯，会成为一个嗯积极方面，成为一个学习的动力。但是有时候的过度紧张，对生活带来一些比较负面的影响。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_310/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "会去跑跑步啊、散散心啊，和别人聊聊八卦呀，这样子呗。 我朋友有挺多的，呃，我讲其中一个吧，就我们班有一个班长，然后呢他就很搞笑，他们都叫他火箭小子什么之类的。然后呢就特别的啊好玩，然后他也比较喜欢跟我们聊八卦呀，开开玩笑那种的。然后呢，最近有一个朋友生日还在宿舍过的生日会比较开心吧 回去散散心跑跑步等等等等等等等等之类去去旅游，或者去玩一下也行。 我的一个朋友嘛，他就是他呃就就很喜欢，就是想妈妈经常就跟我讲，然后呢我就会跟他说，我就说你可以不用去想他，你可以去做点其他事情，忘掉这件事情。你这样子，你回去之后，你就可以跟你妈妈呃，见你妈妈了，一个星期之后就可以叫你妈妈了 开心又无聊又伤感，非常的伤感 嗯，没有什么秘诀吧，反正就坚持呃，坚持下去就可以了。 没有什么不开心的吧，反正最近就是那个考那个考试嘛，然后呢，那个数学题也就是也不是说不会吧，就是有点粗心大意，然后呢，然后呢，他就可能考的比较差吧，就比较会担心。然后英语的话，语文的话也会比较担心 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_313/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "有我亲爱的同学陪着我。 开心激动。 非常开心。 我的周末去外面玩。 没有。 我会通过运动来解决。 之前没有受到过影响。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_319/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "感觉就是很影响到我的专注力、记忆力，还有上课的注意力，就是不知道为什么总觉得自己很没用。或许然后我觉得我很废物，然后性格又那么的不好，感觉非常的招人厌。然后这种状态感觉为我的生活学习生活感觉会我的辞退的时候总是会慌慌的，感觉学习上并没有那么专注。然后生活上也非常的无助。 就是成绩滑坡的很厉害，然后朋友们好像都变了一样，然后感觉整个人都不不太好，也没有时间之类的，很焦虑无助。 我感觉整个人的心李和状态都不太好。然后最近觉得自己感觉什么都做不好，画画也画的不好，很愧对于美术课代表和巡查委员一直然后感觉自己什么都比不上人家，然后成绩又滑坡的很厉害，心里就是总是慌慌的。然后不知道为什么感觉很想去一个很远的地方，有我自己有我的朋友，有纸笔，一个很安静，很安静的地方，很好看，很好看的地方，感觉整个人就是很慌很慌，不太呃不太心情不太好。 感觉最近成绩滑坡的很厉害，然后好像身边的朋友不知道什么时候都变得尖酸刻薄。然后想去看一下书之类的，但是就是感觉自己很没有用之类的，嗯，就是非常的难过伤心，有种自己被全世界抛弃了的感觉。 我有一个特别特别好的朋友，他呢会在我心情低落的时候来帮我。在我很伤心的时候，突然会来开个玩笑，然后有时候还会在，就是他画也很好看。然后我也很喜欢，就是说去画画，然后也基本上就是他会去画线稿，然后我去拿水彩上色，然后有次我们去吃饭的时候，他吃肉丸儿，然后那肉肉丸，然后他咬了一口肉丸的汁儿，就蹦到了我的眼镜上。但是虽然狼狼狈是很好玩，还有我亲爱的舍长大人，她也是非常沉稳的女孩子，然后性格也非常的好，成绩也很好。我是以他为榜样，在一直不断就是做一个对比，然后还有玉彤，他画画也非常的好看。然后呃呃他对于色彩方面的感受也很好，有一次有一次出去玩儿，我和他是在国贸转了三圈都没转出去。 我的成绩变得不太好，然后老师会经常的就是说呃来说我一些问题，然后舍友的关系上也不是没有之前那么好了，有时候会想过，如果自己一个人就是呃不在这个世界上了，好像也挺好的。然后成绩不知道为什么滑坡的特别厉害，所以很想就是想离开这个地方，然后感觉自己什么都比不上别人，然后就是特别的伤心。 好想好想自己一个人离开这个世界啊，但是好像没有人理解我这个想法，我真的真的好想好想离开这个世界啊，感觉被抛弃了。 几乎一半的时间吧，感觉感觉整个人的心情都不是非常的好，大概大概有一半的时间都是这种状态。 是素描这一个美术类型，因为当年我学的是素描这一个类别。但是后面因为我的老师就说我不务正业，然后整天搞那些杂七杂八的，又不管学习，导致我最后又去学了自学了水彩，然后将人体比例之类的就是没有学好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_322/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "玩积木，拼积木吧，然后看书玩游戏。 嗯，我觉得英语这件事情对我的压力挺大的，总担心学不好，然后单词也背不下来，语法这些更是记不住。 哎，快要中考了，心理压力还挺大的，就我也挺想好好休息的。 期待明天，相信明天一定会更好的。 我感觉身体非常的劳累。 开心，兴奋激动。 也没多大频率吧，也就嗯星期四，星期五左右吧。 嗯我们一起打玩游戏，然后嘞还一起出去看电影，然后还有吃饭。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_330/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，其实我哥他就偶尔会因一点小事而发脾气，有人一没手机玩了，就会在那里骂骂咧咧。 没有。 培养一个好的兴趣爱好。 多去打几场球，跑几千步，然后就喝几口饮料。 呃爱运动，然后咧，上课专注力不怎么好。 看电视。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_341/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，心理暗示吧，将所有糟糕的不好的给他从轻处理，把它慢慢往好的方面想遇到挫折，就要考验自己，遇到困难就要克服他。 比如就按最近的玩乐时间吧，因为学习压力越来越大了，我感觉自己玩的时间越来越少了。之前玩的昏天暗地的，现在也是昏天暗地，但这是怀着不堪的心情。 期盼 最有意义的周末嘛，其实就是我去当志愿者了。也就是这个国庆当时当志愿者的时候，感觉自己好像并没有做太多事情一样。但实际上的话，自己还是帮助了很多人的，还有我的母亲，他也带我做了一些有意义的事情，像捐赠一些旧衣旧服啊，带我出去散步啊，我觉得最有意义最有趣的一天。其实就是平常平平淡淡安安稳稳的周末就这样。 嗯，可以的，我最近对自己的方方面面其实都非常的不满意。我感觉自己好像里边跟别人比起来越来越差了，不仅包括学习，还有身高、体重等等，我感觉都没有以前那么无忧无虑了。有些时候下午的话在家我还会感到空虚无聊，我也不知道为什么感觉的话是自己荒废的时间吧，哎，就这些了。 呃，学习上的话，学习上的话我通常会有些焦虑不安。像是突然学习的时候，想某件事情在生活上的话，也会有一些心不在焉而的有些空虚。但是我已经在努力克服这些问题了，我会保持好自己的情绪。 嗯，同学们情绪隐藏的其实都挺好的。我是看不出来这些有这些状态的同学，就算真正担忧的话，估计也是跟最亲密的人说吧，应该不会随便和别人说的有，但是我不知道。 嗯，学习压力现在很大，你呢还有嘛感觉自己身体啊、视力啊什么的都很不好，体育还考差了，感觉同学们进步的都很快，都比我强的感觉有点焦虑，还担心自己以后生活那些嗯生活梦想的也没有个很确切的方向。但是我知道这些不开心，我也会自己努力克服的情绪，我也在保持这种，至少我不会失控，我会努力的，我也要让身体健康。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_354/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没事啊，学习压力有点大啊。没事。 哎呀，比如上厕所就受到了影响。以前上厕所非常轻松的，现在一上厕所就在那里，想自智提高，害得我尿都尿不出来。 毫无意义情歌玩游戏，我要听音乐 六傻屌，我觉得最有趣的就是天天看老爸和秦哥在那里呃睡觉。 有啊，我身边有处于这种状态的同学啊，他叫蒋子晨哦 玩原神 一题都没一题没背。哎呀，真的是心里一想到政治提纲没背，你背了吗？一题没背难受哦。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_358/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "早上六点钟起来疯狂跑路，跑到了七点钟吃早餐啊。然后呢，十二点以后，十二点以后，你吃完饭打游戏，打游戏，打游戏打到到跑到六点钟差不多吧，就是这有两个小时的时间。 那必须是开心的 状态，他没有对你先问问啊，呵呵他好像没有达到这种状态啊。 同学都是傻逼，下午好，呃，最近学生状态嗯好像都在开小差哎。 喜欢留下狗什么的，就摸下狗，撸下狗，吃下下狗，反正是带狗散步散还行吧。 喂啊，目前还不知道。 遇到事情啊，不要太在意别人的在意别人的看法，你管他是什么，你的命运自己说了才算。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_363/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "哦，你看看我说的呃，我是保持平常心态，顺其自然，要急不呃坚持自己喜欢的东西，以此话为动力。 没有吧嗯呃有或许没有这个，我可能没有关注到 呃，比如遇到了一些比较倒霉的事情，我会嗯比较平静的接受这一切之前呢可能会比较沮丧。所以现在是情况好了很多。 我们是五个人围一个小圈子，也会时常去一个朋友的家里玩，经常聚在一起，然后我们会分享自己嗯喜欢的IP.嗯，然后分享其实也许呃不是志同道合，呃，同一个圈子的朋友也会呃互相安利，然后玩的很顺利。 我会去嗯看我自己喜欢的东西，然后以此来缓解这种心态，然后还会去吃好吃的来让自己开心或者是倾诉，或者是呃将焦虑化为动力，以此来更好的让自己去努力奋进。 就是一切都挺好。嗯，然后嗯有时考试成绩很好，又可能有一些比平常水平低一点，但是影响不是很大。呃，如今段考将近正在努力中。 我时先定一个目目标系，然后定一个比较平静总的目标。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_366/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "在家躺着睡觉，偶尔出去玩一下。 开心，欢快娱乐。开开心心的 愿自己喜欢的事情。 去玩游戏打游戏了，我想干自己喜欢的事。 miaomiao述完了没什么事。 每天开开心心，快快乐乐的活着。 没有没有没有身边没有这种人，我也不知道有没有好没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_367/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，就是保持着对，呃，生活的希望吧，就......,对生活充满希望吧。 呃，学习最重要就是.....,呃，也有有每天坚持了，就是呃好好学，就是怎么说呢？然后学习就是复习，预习，好好上课认真听，然后就是呃在课后应该完成一些老师布置的那些题。 呃，......,我很，我身边是有很多这种状态的同学和朋友嗯。 嗯，喜出望外吧。 嗯，就比如说啊，嗯，同学就是有时候，呃，会，就是有些什么事情，就小，就挺小的，就一些事情，反正就是一些事情呢，不跟我说，我有可能就是比较呃觉得他们就是不爱跟我讲那些说到有点就有点那种很难受，怎么说不出来的那种感受吧，然后受到什么影响呢？就是影响就是会有感觉，就让我在学习中就是特别那种也能就是学不下去那种感觉。之前呢是挺好的，什么事情都跟我们一一起，现在呢也也是有什么事也会跟我说吧。 嗯，和好朋友经常发生一些，比如说就是嗯呃怎么说呢？就是经常就是那种打打闹闹那样呃呃呃，那种怎么说呢？你退，就是嗯一直嗯，讲一些有些关于学校一些呃就是呃一些同学的八卦那些或者是跟其他同学要会就是分享一下有趣的事情吧。嗯，我同学这个好的同学有几个呃有嗯有有宿舍，宿舍里的一些同学，还有班上一些挺玩的，挺好的，一些女同学吧。 呃，就这样呃，可以跟好朋友一起，就找好朋友一起诉说一下，然后叫他帮帮，是呃，就是和朋友一起想下办法，把这个事情解决解决好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_374/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，平复自己的心情，然后呃不知道。 嗯，就是上课就上课，上课呗，放学放学呗，回家就玩玩玩玩游戏呗，没事了，拜拜。 呃，平静，然后你以后别好奇了。 我朋友有很多个李博洋、彭博洋，还有呃瓜正南，还有还有还有那个呃谢书签，反正还有很多。然后嗯就是还有莫笑贤，就那个莫笑贤嘛，他教过我苹果魔方，哎，我跟他学的非常开森。 如果是在上学状态的话，我会看一会儿西游记。如果在家里的话，我会呃玩手机。 玩。 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_408/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "为自己的目标努力。 平静。 学习压力有一点重 嗯，放下手中的事情，出去，外面散散心。 和朋友出去玩，然后买了很多自己喜欢的东西。 看书。 没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_413/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "睡觉娱乐。 怕考不好，怕考不上高中。 玩游戏。 最近即将考试压力有点小大。 没有 与家人闹矛盾。 几乎没有沟通，他们每天都是在下面做工，我一个人待在家里。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_417/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我有很多个好朋友，我们经常一起打水，经常一起打闹 平静。 我的学习生活状态还算不错，朋友很好，家人很好，老师很好。 如果我遇到了这种情况，我会采取转移注意力的方法来帮助自己缓解。多听听听歌、打打游戏、看看书运动。 有的我觉得不一定所有的事情都死记在心中。我也不一定要在意每一件事情在意。别人说的话，我觉得保持活力和希望。面对每一天，因为我相信没有我到不了的明天。 暂时还没有发现。 看书聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_422/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，有很多首先在初中阶段，我的好朋友呢，我经常跟他一起打游戏，呃，还有在小学的时候跟他们一起旅游，然后呢一起吃饭，一起拍照玩耍。 还好吧，平时学习都很简单，呃，不会有太多的困扰。 打篮球打游戏。 嗯，最近有段考呃，有一些紧张，但是我们都有认真复习，考完了以后就没有那么紧张了。对，成绩呢也是没有太大的，怕之类的，都是很期待的。 和同学多多玩耍，多多聊天 没有吧，就偶尔有一些为段考而感到紧张的。 开心。 深呼吸 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_423/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我一般都会家里面看电视啊，或者出去打球。然后我觉得最有趣的周末是跟几个朋友一起出去做志愿者。 打乒乓球看书。 开心 想一想能让我感到高兴的事。 我会向朋友或家人或教师倾诉去。 没有。 就是说我爸妈有在家里面吵架 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_431/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "哎，看书。 对我很好给我切水果，周六周日的时候会让我学习，但是呢会让我有适当的娱乐时间。 没有什么秘诀，就是嗯没有什么秘诀，没有什么秘诀，就是嗯按平常来吧。 看书。 没有 嗯，还行吧，就是嗯有很多朋友。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_434/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我哎我我轻舟已转冰塞，呃，一直见不到想见的人，现在浑身没有动力，而且我有他的联系方式，有时候给他发信息，他也一直没有理我。觉得我被这个世界所有的人都遗忘了。 我最近一直想上一节第二课堂，就那因为家里人不够钱没法上，而且一直想见那个我想见的人就一直见不到他，他就是我之前的同学。 我一般都我是一直呆在家里，很少有出去在家里写完作业，就平时没同事干。就看一下电视，玩一下手机，我爸爸妈妈平时都不让我出去，我基本没有什么有趣或有意义的周末。 我喜欢，嗯，在高的地方往低处看，或者是往远的地方看，或或者是看的一呃一片空白的东西，就是幻想一些东西。毫无波澜。 基本每天都有。 最喜欢的人我跟他表白，但是呢他回给我的是两句话，第一句话是嗯我们做朋友吧。第二句话是，谢谢你为我做的一切。我现在觉觉得我和他之间可能不可能了，感觉有有有点无助，没有人理我也没有人能明白我最心我心中的那个意思，唯一那个能理解我的人，现在我也不一定能见得到他，有时候都没空想见。 有很大的影响，现在我每天上课都有点心不在焉的。 我的舍长，还有一些舍友一直在欺负我，我的好朋友有时候也会跟他们一样来取笑我。但我现在就只有他一个好朋友，我一直，要不要说去跟他吵那些，而且我对呀，我现在每天根本没办法听把课听进去。因为上课注意，没法注意精神。 我曾经我曾经的朋友远离了，而我现在的朋友也总是想帮，跟我跟欺负我的人一样也会来取笑我。那些我我想见的人现在很难见得到。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_442/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "嗯，很焦虑，为自己的成绩和自己的未来。然后生活中时不时会想起这些。然后做事有点心不在焉， 该我复习一下不熟的知识，等着下一次考试或者都复习完，就在那里画画呀、看点书啊， 因为成绩，然后嗯还是成绩。然后呢嗯因为之前情呃进度有点跟不上，好多东西要对。脑袋昏沉沉的。考试马上来了，一想到好多东西都没有复习，就很烦躁，就很难过。 很难受，好多东西背不下来，很伤心，觉得是你是不是不行。然后呢，家里又给了点压力，然后呢，晚上就稍微有点睡不着，又困又睡不着。 嗯，有时候就突然想起来。 玩手机打游戏看动漫，嗯嗯，有国庆去国贸吧，遇到了很多，我玩角色扮演的人，买了很多东西。周边吃了很多好吃的， 还是因为学习。考试了，老师让我们背好多好多的东西。有点背不下。 成绩考试好多东西要背嗯，好多学不会 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_447/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "呃。应该还没有暂时还没有。 就是每天做一些有意义的事情， 我看一下他的钱凭什么亲，现在学习也可以，然后那些也没有什么很烦的事情，状态也可以，上课也能认真听讲。然后嘞，那个题没有什么不会做的，然后生活上呢也可以自己独立生活，就是挺好的。 平静 我会自己先我会自己先独立呃，在一个房间里面先安静一样，想想最近做的事情，然后呃想想应该怎么改变这种状态。然后呢呃下一次就实习这种状态，不要那么容易生气啊， 我们平时相相处的很好，就是讲话的语态也挺好，就是心平气和。然后呢，平时有一些什么开玩笑啊，那些事情 下象棋 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_448/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会采取和老师说和去心理室发泄。 我最近学习生活状态很好。 开心。 写作业和玩游戏 我喜欢玩游戏。 我身边没有处于这种状态的同学，或者朋友 没有 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_452/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，好像没有吧，最近学习比较忙，所以没有多注意。嗯，但是还是希望他们能好好学习，好好在段考中取得一个好的成绩。 嗯，此起彼伏吧，有时候感到很平静之后，很安静之后，突然又有什么活动开展？感觉心情很高兴，开心兴奋。 嗯，看看书吧，嗯最好是嗯西游记可以啊，还有骆驼祥子之后，还有沈石溪的动物小说，我也挺喜欢看的。 嗯，看看书吧嗯看书可以让我们沉迷于故事中的情节，与人物感叹生活的美好之后呢，也可以偶尔听听音乐，嗯，最好还是听一些抒情的散漫的音乐，就是缓解一下自己的疲劳，多和同学交流沟通。嗯，把自己的困难都告诉同学们。哎，完了 嗯挺好的，嗯，作业还算不多，之后学习挺顺利，嗯，都学的会学的好段考结果自己挺满意的，然后与学同学相处的也挺好的。 嗯，王耀星啊嗯他人比较好，就是跟小孩子一样很单纯，所以我觉得他觉得他内心挺中意的啊，所以我喜欢跟他一起相处。然后呢，我们之中没有从来没有发生过矛盾相处的非常好，课余时间能够一起聊聊天，开开玩笑之类的。下午好，我们以前也有发生过一些打闹，但是挺有趣的。我们从来不会因为彼此嗯发生过或者动怒对彼此。 嗯，凡事都要乐观的，从好的想嘛一有时遇到很沮丧困难的事，一是寻求老师同学的帮助。二是自我调节自我的情绪。作为一个中学生，我相信这点能力是我们每个人都需必备的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_453/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会做一个倒计时，呃，每周计时呃呃看着还有多少天回家，或者是呃立下一个愿望，期待自己明天会发生什么事情。然后呢，或者是期待一些我感到非常有趣的知识。 因为国庆回来要上七天学，我有七天时间要待在学校里面。然后呢，每次打电话都有很多人在排队，根本就打不到。所以七天我都没有跟家人联系，就感觉很想家。 平时怎么沟通的？呃，嗯，忘了，我们平时都是相处的，很愉快的，即使偶尔有不开心的话，只要过十几分钟，这种不开心呢就会化解掉。我们大家还是能像平常一样，呃，生活，我们沟通的话，我们一般都是，呃我们一般都是按说就呃说一种亲近的称呼。然后呢，沟通呢也多是请求，嗯，然后呢，就是这样子。 我的身边好像没有这种状态的朋友，因为我并没有让过多的关心周围人的呃呃那种心理状态。 我会打电话给爸爸妈妈，跟他们倾诉，我还可以跟同学们一起聊天，然后抒发我这种苦恼的，就是将自己内心的不愉快给说出来。这样子我可能会好一点点。 在空余时间的话，我比较喜欢看着窗外，然后呢会会发呆，然后呢会画画，就是这样子。 我会选择，我会选择，呃，平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_472/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "其实这并没有什么秘诀。一般来说，我在学校里应该最亚于不喜欢上的就是体育课了。不过经过这两周来的调整状态，我发现体育课其实也还好，跑跑步锻炼、锻炼身体，增加自己的身体素质。比如前面我连做个俯卧撑，做完后都会气喘吁吁。那现在还能坚持下去，这让我感到非常的自豪，并且一直保持活力和希望也是非常简单的。比如你在遇到一些好玩的事的时候，可以快速或者下课后分享给你的同学或伙伴们。 我会选择平静。 是有的，因为当时不是要断考了嘛，断考前肯定也会有同学会紧张。紧张的话，他们就会影响到学习和生活。比如晚休期间，他们不会再像以前一样有快乐的共同话题，而是紧张复习。 在空余时间里，我会画一些绘画涂鸦，翻翻课外书，与同学们聊聊天，聊聊课后的一些闲话。比如一些八卦等 如果我出现了刚才以下的几种情况，那么我一般会先调整自己的睡眠状态，然后去朋友们同学倾诉一下，如果实在还不行，那我会去找老师倾诉一下我最近的状态，问一下怎样才能解决或者到心理室里去咨询一下心理老师。 新来的话感觉上体育课也不是像以前那么累了，而且与朋友们相处关系也不错。学习的话，目前也感觉很轻松，感觉只是一眨眼，一个上午就过去了，再一眨眼一个下午就过去了。一天过去的很快，学习学起来也很轻松，课后复习也感觉轻松了不少。 我最好我最爱好的朋友只有两个，一个是我小学同学。另一个就是我现在上初中的新同学，我们之间呢发生过以下有趣故事。一、他有一次上课没有带笔，而我恰好笔又带多了，我把笔借给他。结果下课后发现我的笔不断坏了，而且还写不出来字。我一时间当时就没有反应过来，便开始了责怪他。结果他不但原谅了，我还跟我道了声对不起。这时我觉得我自己的心肠太过小了，我应该更多的坦诚的接受我和我朋友之间的友谊啊，二、有一次我正在和他们嬉戏打闹，突然看见远处有一个男生正在拉单杠，我觉得这个男生非常的厉害，于是便开玩用开玩笑的口吻，说，你看前面那个拉拉单杠的男生很帅啊，好想去要张签名，结果我的那两个朋友就真的跑去跟我要他的签名了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_491/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "啊笑对生活。 学习压力太大了，从小学的三科一下子变成初中的七八九科。 我比较喜欢和同伴一起打乒乓球。 没有。 对嗯呃我感觉初中学习压力太大了。 我最近感觉比较好。 呃，让我学习更加好，更加勤奋了。 我最后要好的朋友有两个，我们之间经常一起打乒乓球，在打乒乓球的时候，经常会出现你赢我输的这种情形，但不过我们没有互相抱怨，而是互相鼓励。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_501/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "学习不好很难受 没什么影响 平常是这样。 之前成绩还行，现在成绩很差，主要是成绩的事情受到影响。 一般和平相处，用嘴沟通。 成绩不好，什么都盖不好。 学习不好，成绩很差。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_515/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "老师我的心里确实不太好受，但是我旁边这个叶伟成他故意拖着不做题，然后我觉得他很好笑，然后我刚一直在笑他，然后我现在就感觉没有那么难受了。然有就是我一直在吃药，然后这个药呃帮我改善了很多的问题，然后我睡眠也没有问题了。呃，所以说我现在哭不出来了，你知道吧？然后然后哦，然后嗯嗯嗯嗯嗯我还有没有了，拜拜。 不出去吧，我最近我最近没有什么不开心的，我刚刚点错了，但是我又没得点到上一题，对不起，老师，我有时候觉得充满活力，有时候觉得很呃很bad.然后呢怎么说呢？我旁边都是一些玩元神的，他们这些他这些恶毒的猿批已经深深的困扰到了我的生活。然后他们这些玩元神的就是很该死的人，玩原神的人都是一些很该死的人。然后呢呃我觉得不愉快的事情，就是他们那些大神经啊，就是我朋友的大神经的那些人，我觉得特别的不好。还有一些我们班的人他喜欢开黄腔啊，尤其是那个嗯嗯这这这我就不方便说了。因为我旁边那个我以为是在威胁我。然后呢呃呃呃就是说我们呃石碣中学八年级的十二班呢呃有一些同学他在开黄腔，我就不方便透露啊，老师如果你可以查到的话，你进量来我们班查一下我们班那几个身高比较呃高的同学，身高比较高的同学来呃喜欢开黄枪啊，希望你们这些呃不对，希望你们你们是尊敬的老师，可以来呃就是解答叫我我们班系的同学呃呃呃，现那就是就是就是那几个身高比较高的。然后有一个叫什么书，有一个叫姚学兵，然后有一个叫呃丁呃，丁真，有一个叫有有一个叫呃有一个叫什么呃呃啊对对对，苏晨曦我就得就就这东不方方便再呃给你们说。因为我旁边有一个男的，他就在我们宿舍听到了吗？没听到到吧。好的，我可以点下一题了。 证明嗯我的好朋友是曾馨怡、孙湘怡，还有还有彭依琪。然后呢呃呃曾欣怡有一次呃呃打电话的时候接了一个诈骗电话，然后呢，他就他就像他就像那个诈骗的那个人说他要贷款，然后后面贷了一百万，不知道贷的，真的还是假的。我服了爸爸。然后然后彭一琪彭一琪他有一次有一次呃，在宿舍写作业，然后被教官抓到了。然后孙湘宜、孙湘怡是干嘛？孙湘怡孙湘怡孙湘怡有一次鞋掉了，然后泼该被人撞泼盖了。然后然后老师不让他查监控，然后教官叫他为什么要跑步呢？ 嗯嗯嗯，笑你服了。嗯嗯，我最近心里很慌，呃，我最近身心疲惫，呃，我最近我最近睡眠不好嗯。 哦，完了，我服了，爸爸，我你有没有一种可能，现在是在学校讲这种东西啊。 我旁边的叶伟辰把我名字服了。呃，他是呃呃石碣中学八年级十二班学号是呃四十三号是十，我没有说我要跳楼啊，等一下他提到跳楼我就不要不要不要说不要说他才是要跳舞，他的心情非常的崩裂。他是重度的玉玉症啊，重度的玉玉症。然后呢，他还有呃双向双向情感障碍，然后还有这个什么呃DID人格分裂。老师，我玩光一夜之恋，我同意是小易，你可以帮我买点谷子吗？我小鱼哦，谢谢你。老师，我觉得很开心，这十几分钟里面我就没有停过我的笑脸。哎呦，我隔壁这位玩元神傻逼原批下贱下贱下贱的原皮。我玩过雨夜之恋，我认为是小易，他他身高幺八五，他体重我不知道，不好意思啊，笑的有点笑，点点咳嗽了。嗯嗯嗯呃，我对面还坐着一位朱梦琪同学，然后我的斜边坐着一位郭韩静同学，我的我的后面坐着一位彭一琪同学，就是我刚刚跟你讲的那个他他在宿舍写作业，然后被教官发现了，明天帮我可能他们美女。然后然后我们班还有一个腿脚不方便的东西。然后呢，于和你说说起了我旁边的这位同学还在抱他他朋友的黑料。呃嗯，我服了，爸爸，我说我现在情绪有点崩溃，你先不要停，你先把那个你把那个音量调小一点，然后然后呢，你是不我要不我把麦给你，你我爸爸哦哦哦，老师下课了，我不跟你讲了，我要下课去了。 嗯，影响到了我的学习，还有我的生活。嗯，是的，嗯嗯 我我在骂人，我旁边那个叶伟辰。对呃呃举个例子啊，就是就是我之前我会因为这种事情就会觉得很焦虑。然后呢，我就患上了那个爆米花症，然后呢，我现在嗯应该很好吧，然后那个黑心黑心的石龙第八医院一个月花了我两万块钱。然后呢，我我想现在去举报他是的，然后就是呃呃然后嗯怎么说呢，我也没有怎么不开心吧。现在呃但是呢虽然阿姨郑心怡还有彭艺琪，他们都是一些很大神经的人，特别是那个袁楚乔啊，因为他就是个社会姐，就是个裂飞的，我懂然后然后呃然后呢呃我觉得呃他们那些大神经的人就是理解不了我这种内心很敏感的小女生。呃，我自己是这么认为的。然后呢呃我希望他们可以改正一点，就是对朋友必须得很关心，特别是我这种特殊人群。是的嗯，谢谢老师。嗯，嗯，老师，你不要点头了。嗯嗯，好的好的嗯，嗯，好的哦，哦，我要点下一题。 嗯，经常有吧嗯，我服了爸爸。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_519/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "你瞧嗯我的同桌，我的舍友他们都非常的有趣。舍友呢嗯每天画这种花样在那玩玩，有时拿那个衣架说提前大圣有时还cosplay越事扮演。他同桌呢话也非常的多，经常被老师警告，当时他和学习成绩却总不怎么落下，我很羡慕他嗯。 平静吧，因为平时都是我去找别人说话，主动找我说话的也只有一个我同桌。 看看书呗，有人来找我说话嘛，我就会回应他。有时我会去找我的以前的好朋友，但是他并不理我，所以平时我就无聊的在坐位置，坐子上看看书，借别人的书， 是哪位呀？嗯，就是嗯还是在学习的时候，感觉生活很难，但是现在明显变好了，饭菜比小学的好吃，这里的人比小学的更加友好，更加好，交往好了， 找朋友，找老师呗，或者找自己爸妈倾诉嗯， 父母呗？你读书呃，我爸妈说读书都是为了自己，但是我也不想辜负他们的努力。所以他们每天晚上差不多都会给我送一碗，送一点吃的什么的。他们一直鼓励着我，所以我就一直保持着希望，一直以乐观的心态去面对每一天， 没有吧？身边的同学非常友好，非常好，骄往有时下课讲一下话，玩一下游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_521/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "有一些的，有一些想回家，感到有些焦虑。 生活没什么影响，学习有些分心，学习有些分心。 由于有些想家呢，就是就是呢呃，感到心里有些焦虑睡不着觉的感觉。 呃，我跟家人关关系比较好，平时的话沟通不会责骂我或者什么样。总之呢就是关系很好，平时在家呃跟我也相处很好。 我主要是想回家，想回家。 发会呆，或者写字啥的。 比较顾及家人的感受。 比较担心父母生病。 顺其自然。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_522/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "秘诀没有。 呃，最近学习状态很不错，只不过呢有个叫叫胡玉海的人很烦哦。嗯还有经常怎么说呢？没有任何问题。 打乒乓球。 最有意义的周末，就是在周末拿到了手机，能玩上游戏。 没有这辈子都没有。 适当就可以适当的方法，我具体没什么方法。 开心开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_528/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我一般星期六的话呢，会呃写一会儿作业。然后但是大部分的时间都是在哦看手机，看手机的话一般就是看微博那些新闻啊，那些热搜什么的，还会在网上面就是交朋友。接着星期天的话呢，我会让自己更加的专注于去写自己的那些家庭作业，还有呃自己在网上面找那种课上。然后一般的话我很少会就说有没有写不完作业，这种现象一般都会写完作业。回到学校，我觉得比较有趣的话，可能是跟自己家里面的人出去玩呐，就这种比较开心的这种过程。 我比较喜欢去看手机，因为每天我的乐趣可能就是在看手机的微博，还有抖音刷视频，还有去loft那里面看一些呃别人写的那种小文章，来提升一下自己的文笔。 最近的学习刚由于刚放完国庆假期，可能那个心会收不住。所以说呃刚上课的话可能会开小差，有些知识点可能会入不入不到脑。但是呢平时的作业还是会认真的去完成。 我最近的心情状态是比较平静的吧，因为想着马上就要段考了心得收一收努力的，会让自己平静下来。 我的身边是没有处于这种状态的同学和朋友，他们都挺好的。 就是每天就是不要想那么多吧，就觉得呃呃活在当下享受一下现实生活。  我是睡眠不太好，每天晚上入睡就是比较困难，然后心里面呢就没有特别的慌，就每天心情还是很不错，就是晚上哦比较难入睡，而且还特别容易做梦。 我觉得每天早上这么早起床，然后呢晚上又比较难睡觉的话，我觉得每天早上就是起来呃会很累，很想睡觉就非常的困。呃，生活的话就没有什么太大的影响，就是上课容易打瞌睡。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_533/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我的兴趣课受到了影响，之前比较热爱，现在就不怎么喜欢。 不可以，谢谢。不可以不可以，谢谢你。 开启呸，平静。 我不知道，i don't know. 没有，不好意思。没有 一个，他呢特，他特别搞笑，我特别喜欢他。 不好意思，我没有不愉快的事。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_542/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，你不在嗯嗯呃啊啊，生活作息跟平常差不多有一点点紧张，但没有什么大碍， 呃，应该有好几个，没有仔细数过，我就挑其中的一个说法啊，他的名字叫冯金朝。呃，我经常去跟他一起中午或者下午去运动。比如说打乒乓球、打羽毛球，然后就放学之后，有时在周末可能也会约他一起去小区里面呃打打羽毛球什么之类的，然后日常中也会互相帮助。 个嗯完了忘记他问我什么了，，我忘记他问我什么情况了，啊啊啊，就是啊放平心态啊，放平心态没了没了，哎呀。 呃，有的时候如果没有同学玩的话，就看看书。然后如果有人玩的话，可能就会出去运动一下。比如说打羽毛球或者跑步什么之类的。 呃，首先应该是紧张，然后变得开心。 可能是天生的吧，反正怎么跟你说呢？我一般都是比较开朗乐观的基呃，除了发生什么重大事情，不然的话一直都是比较开朗乐观。开朗乐观呢跟同学聊天呢，那些就可以让自己一直保持活力，然后还有希望。 嗯，应该是没有的，应该没有，应该没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_543/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "可能没有没有接触到。 我喜欢和同学一起玩游戏，或者看一些课外书的。 嗯最近每天都收获颇多，，我认为每天应该合理的安排学习。 父母会带我出去购物或者找同学玩，并且学习。 ，心怀远方，励志有梦想。 我非常幸福。 我可能会找同学倾诉， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_547/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我平时上课的时候认真听讲，然后和同学相处的也都比较和善 我的同学袁可妍，他最近老是发生，他说他最近身边老是有人跟着我感觉有一点点担心他。 只要保持一定的良好心理状态。只要有只要每天早上对自己说一些鼓励的话语。比如说我能行的，今天又是美好的一天，或者在有这种情况的时候，可以找家长、老师、同学倾诉一下，这样烦恼也就会消逝。 我有很多好朋友，其中最好的一个是我们宿舍，一个外号叫教主的女生，她特别幽默，很喜欢开玩笑。我们经常在一起在一起玩耍。 我会找家长或老师倾诉一下自己这种心情，然后和同学一起出去玩一下来放松自己。 我会选择在家里看书，或者是陪一下我四岁的妹妹。 我的上铺远可言，有这种状态啊 我会选择普通。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_550/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "滚嗯嗯嗯呃，声音行业都比较 嗯，没想干嘛，呃作业还有平时的一些压力，也会导致呃呃身体紧张，所以呢这比较低落 嗯，平时人员压力，还有针对人们关系的一些紧张。然后嗯还有学习的那些压力的问题，我也有种做你安人人还是你有慌。 那个状态还是有点，也是促进了我那个学习的那个积极啊，也也要突破这个证件是么？ 呃，没有 嗯嗯，对我来说是平静吧 好多呢。 嗯，对啊，我们有有三四个，然后呃平时的话也是有经常的玩乐啊，那什么的啊，也是很不错的嗯。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_556/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我觉得我每次上课都在想这个问题。然后呢，我上课注意力老是不集中，老是走神，总感觉呃是那种是的，就怎么说，就是想的那种。因为走神一直在想，一直在想到自己不好的那一面，总感觉自己考不到我考的那个要考的那个目标。 呃，我一般会出去打一下篮球或者打一下游戏。我家里面有一把吉他，没没事的话，我也会去弹弹吉他，不让自己的技术掉下去， 就是那个在每次考差之后回去，我爸妈知道都会骂我一顿，然后一顿跟我说讲那些大道理，我觉得那些大道理是没有用的，毕竟我要是，谁也不想不考好，我也想考好，但就是提不上去 老哥一坐别跑。 就是我总我总感觉我那个只要看见不愉快的事，我总感觉朋友在跟我开玩笑的时候，我总感觉那件事不太好笑，甚至有些想想骂人的冲动，但是看到朋友都在笑，我就觉得不太好意思。然后呢，就继续跟他们一起玩嘛，但我总是感觉心里面有一种不妙的感觉，是发自内心。 我没必要呃，每次就比如体育要测八百一千，我每次担心自己怕考不好，或许有人会超过我。我也不是我以前那个排名，怕怕被别人超过，也是感觉每都快期中了，总感觉自己最近总感觉到考试那一天我什么都会忘我，什么都考不好，然后回家又会被爸爸一顿批评。 总感觉自己马上就总是感觉自己从深渊中掉了下去，又又爬了上来，就感觉自己想摆脱某一样东西，却摆不掉，精神上就感觉越难的事情。对我越是一种放松，别人都觉得难，就我觉得轻松的事情让我感到开心 这是每这这个国庆都会呃约着一起出去打球，嗯，每次都会打几个小时，总感觉比在家过得好。因为在家就是除了手机，就是手机，天天玩手机会被爸妈骂，跟朋友出去打球，总感觉无忧无虑。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_562/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我我就平时平时扶老奶奶过马路，做点有益的事情，去帮呃环卫工人扫下地去帮环卫工人拖地解决麻烦，平时多看书，然后呢呃去帮一下捡破烂的人啊，大爷大妈去帮他们捡点东西，然后做一些有意义的事情。所以说大家应该多向我学习。 我会采取寻求帮助，我会去寻求他人，帮助寻求老师，帮助家长帮助，来帮助我解决问题。 呃，那个有个人叫波波啊，就叫波波，他可能有这种状况啊。 哪个词啊啊，你觉得你现在的什么心情，我现在非常平静。细腻。嗯，那不更开心啊，那必是非常的平静。因为我是一个开心，我是一个内向的学生，我是一个内向。 再空余的时间，我喜欢去看书，去看一些书，对我有帮助。所以说我们应该好好学习，像我一样多看点书。 嗯，就我回家几有就回家就在写作业，早上起床吃完早餐就写作业学习，下午就呃去补习班学习，晚上就也是上课，然后吃完饭九点钟就睡觉啦。然后第二点呃六点钟早睡早起，然后就又去学习学习，到下午四点回家冲了凉就过来上学了。 呃，就平时下课多看书，下晚秋回宿舍也多看书。平时有空余的时间就多看书，周末回家也多看书，做点有意义的事 我觉得我最有意义的一个周末，就是星期五回去以后在那写作业。第二天呃遇到一个老奶奶要过马路，他提着很多东西，然后呗过马路很麻烦，一直我就把那个老奶奶去拖东西？你帮、、我拿个扶老奶奶过马路，然后呢，老奶奶就就奖励了我呃，就奖励了，我带我去吃云吞是件非常好的事情，我觉得很值得大家学习。然后第二天又遇到一件很神奇的事情，就是有一个老奶奶不小心摔了一跤。然后那老奶奶刚好是我昨天扶了过马路，后面摔了一跤，于是我把她背回家，一直从大概留屋的位置啊，背到了石龙那边。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_564/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有，处于这种状态的同学和朋友。 我就想突破自我，就像二二零二零年，二零二二年的库里一样，经经历了二零二一九年的无奈，二零年的失望，二一年的遗憾。购物理说，我我我们我们会在二二，二二年破茧成蝶只只有。是最终他们破茧成蝶夺到冠军，这深深的激励了我，让让我立志立志要突破自我，激发自己的潜能，保持活力和希望。 段考风波。段考的试题，我感我感觉我都会做，但是却又写不出来，导致成绩没有考到最极致的状态，而且段考是算排名的，这就导导导导致了某种原因啊，某种原因。 适适量的运动，听歌，与朋友倾诉心声。 打篮球时，之之之前手感也是非常好吧。现现在呢现现在现在呢就是投也投不进，还有玩游戏。以前玩游戏是百发百中啊，现在现在天天马枪好啊，也也是也是天天被遛啊，真服了。 学学学学校的段考，学校最近的段考，成绩不太理想，这这些题目我本都会。但是由于自身的压力，导致出现了某些问题，导致现在有点焦虑紧张，而且段考是算排名的。 周五的晚上我都会自我放松，顺便写一些作业。到了周六早上，我会进行补补，不是，补习，还有写作业。周六下午我会进行，我会我会去打篮球，放松身心，缓解疲惫。到到了周日的早上，是我自自习的好时间，我会在家自习。到了下午快要上学了，我会我会自己复习一下上周学习的知识和预习下周要学的新知识，以便我更快、更快的适应上学的学习环境。 学校的秋季校运会快来了，我报名了四乘四百米的项目，但四百米是最难的，就连短跑冠军博尔特也放弃了。前一百米，要有足够的冲劲，两百前两，中间两百米必须要有必须要有耐力。后一百米完全是靠自己的意志来冲刺。我认为这有点难，但是我每天都会努力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_566/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "因为周考，然后呢，我一个考试还说是一个很紧张的事情，而我呢什么也学不进去，我自己都很着急，我也问过老师了，我因为我这个人比较笨，学什么都比比人家慢一步。我爸妈也跟我说过，如果你觉得比别人慢，你需要花很多时间赶上别人，但我自己也在努力的去跟赶上别人的步伐，但是我就是赶不上了。因为我确实看到我那些考试成绩发下来，我自己心里压力就很大。我再思考初中三年，如果一直都是这个成绩的话，那么那我就考不上高中了，考不上高中，我就得出社会打工，出社会打工，家里就没有人会疼你，因为你要自己去工作。 我今天都会生病，生病了，没人来接我回去看病，我很不开心。 因为我喜欢追星，追星呢也是给一个人兴趣爱好。因为有了他，我才能才能在这个世上坚强的活下去。我非常喜欢去做一些小手工，还有做一些视频玩，因为我偶像都很优秀，我也想向人家学习，因为我是处于中学，因为中学也是最难的一段时间，我也想好好的努力过完，考上一个好大学，我才能对得起我珍惜的目的。 我一般都是在家里度过周末的，因为我在网上交了很多好朋友，那些好朋友都会耐心的聆听我的一些烦恼什么之类的，他们也会安慰我。我的周末一般是在家里，我上睡到十点多起来，跟着我的家人一起去吃早餐，吃午饭之类的。 我想分享，如果我初中三年该怎么坚持下去？因为我已经在刚上初中两个月，两个星期吧，我呢就已经开始产生了厌学想辍学休学的想法。但是这个初中我真的我感觉待不下去了，感觉很压抑，就像借手机锁一样，每天我不能看到我喜欢的东西，吃到我想吃的东西啊，虽然我是很想读书，但是我想走读，因为这些事情我不能走读，我就是比较难过吧。 发生频率蛮大的，似乎每天都有。 我最近老是觉得没人跟我玩，我自己觉得很孤单。因为我人缘小学时候，因为某些事情把我的人缘都切断了。现在没人跟我玩，好不容易找到一个好朋友，他们又不跟我玩了，就导致我现在是一个人吃饭，一个人起床，等于说是什么事都是一个人。 我不喜欢在学校，因为有时候我吃饭慢了点，上去洗澡。我们宿舍人就是前面跟你说过了她们就是非常不友好先到的先洗洗，有些人前面洗的很慢，导致我们后面回来的早就回来了，导致都没得洗澡。我宿舍整个人臭都了，只有前面那两个洗的就是香的，还有就是我想家了，想家了，没得回 学习上倒带来没有任何影响，但是生活上却给我带来了一些说些不愉快的事情。就如我有时候想需要别人的帮助，别人在旁边看，也不帮我。有时候经常遭遇我们宿舍，因为我们宿舍是十个人的，她们好像似乎在排挤我，就好像就把我当外人就没有跟我在一起玩过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_570/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "打乒乓球，然后玩手机，然后呃和朋友一起去散步，去逛逛街什么的。 考试结束了，同学们都考的很好，可是我却考的特别差。然后老师上课讲东西我都听不懂，然后我旁边的人都听懂了。 我最近心里很慌，总是害怕这个害怕那个哎呦，我就是感觉很焦虑。 呃，相信自己，然后可以追上来，然后可以做到成绩更好。 总是让我很焦虑，然后像作业呀考试啊根本就弄不好，然后很烦 大概是每周有两次吧 每一次学习，然后就是考试呀那些的就是老是会考感觉担心考不好，感觉以后就是考不上高中考不上大学，然后就是会被社会淘汰，感觉很害怕。 呃，我跟我的家人啊相处呢较为和谐，但是他们经常没有时间陪我玩儿，然后就是我经常就是周末比较那个就是可能等他们有时间才能那个啥，我知道。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_571/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "开心。 嗯，没有什么秘诀吧，就平时就正常的。 嗯，和父母老师说，或是自己放下一些事，平复心情。 好像暂时没有呢。 早上起来洗漱完吃早餐，正常去教室里上课，上完课后正常休息，上厕所喝水，然后中午吃饭，下午睡午觉，下午正常回来上课，然后晚上下午放学洗回去吃饭，洗澡、洗吃饭，洗完澡回来上晚修。 嗯，一般就是早上起来洗漱完换好衣服，就下楼去早餐店吃早餐，吃完早餐就和我爸一起去开店打扫卫生，然后呢就嗯随便做点事，先中午吃完饭，下午就看会儿电脑，然后到了晚上就和朋友一起玩手机吃晚饭，有趣的事暂时没有发生。 嗯玩手机，看电脑或看点书吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_579/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯嗯，买了自己很喜欢的东西。 玩手机，听音乐。 嘿嘿，呃，还行。 有，但是我不清楚他们是个什么状态。 呃，为自己制定一个偶像。 平静 听音乐，然后做自己喜欢的事。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_583/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "还好吧，就是也没有经常发生。就是总感觉别人问的时候的话会想起来或者是脑袋放空的时候，有的时候会想起来就会感到比较失落。 我觉得还好吧，也没有带来给我带来很大的影响，就是有的时候会想起来就会觉得有一点失落什么的。 想想最近自己都喜欢看什么，喜欢听什么。想到自己喜欢吃的东西，想到家人会陪我做某件事情，做我喜欢的事情，想到他们承诺我的事情是我喜欢的东西，然后再想到好像还有一点希望吧，我觉得我可以再突破一下这样的学习方面，这样子想的就就觉得是这样子的。 就是最近学习压力挺大的，担心自己考不好。父母在我暑假的时候给我补过了课。我觉得如果我在考的没有达到我的理想，我内心的理想，或者我父母的理想的话，嗯，就是那个标准，我觉得我可能太不太对得起他们 就是我的兴趣爱好方面受到了一些影响。因为我平时比较喜欢唱歌，心情放松的时候会唱一些我平时喜欢听的歌。但是呢因为最近焦虑，好像最近不会经常无意识的唱歌了，呃，感觉心情没有那么的愉快。 这个其实倒是也没什么，就是一想到自己哪些作业没有做完啊，然后又开学了什么的，就是很正常的学习焦虑吧，就会感到心慌慌。但是呢到时来到学校之后又补完的话就不会了 我觉得这个沟通很正常吧，就是平时和家人相处。首先跟父母相处的时候，要注意他们有什么禁区，不可以触碰的。除此之之外呢，在他们面前不可以表现的太懒，要积极做事一点。和姐姐的相处模式呢就是也很正常，比小时候的关系好，和很多小时候呢就一碰到互相不愿意的事情之后，可能会打起来。现在呢不会，我们就是用猜拳的方式来决定。最近奶奶来到了家里了，是虽然感觉很熟悉、很亲切，但是总是觉得有点尴尬的感觉，但是还是想要和奶奶亲近一点 就是最近的学习压力过大。也其实也没有很多事情，就是总觉得好像和小时候的所有的亲人关系有些生疏了，是一个无足轻重的身份。没有人在有吗？就是还是很希望可以像小时候一样，和奶奶相处的，只是总感觉我现在长大了，好像不能再那样子了。而且最近最近的段考迎来了，所以会有一些学习方面的焦虑 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_593/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "选择暴揍我同桌一顿可以吗？ 我身边有个朋友是个赖真，他最近有点emo。 嗯没什么好描述的对。 曾敬我和我的好兄弟成y每天放学就去学校里游走。有一天看到看到了班主任，他竟然在跟副班一起吃烧鸭和点外卖，太baby了，怎么能不请我们呢？ 我真服了，我同桌了，别人都是和他同桌打成一片，我同桌打一片。同桌。 我右只我右手臂上百分之五十二的伤都是我都是我自己抓的。另外那百分之七十五的伤全是我同桌打的真服了嗯。 我喜欢唱跳rap篮球music,我还喜欢画画。 happhappy无聊平静没了。\n \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_595/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃平静 在这几个星期里，似乎并没有这样的同学或朋友处于这样状态的同学和朋友。 我对于每个朋友都非常的要好，呃，要说最要好的啊，可能在十几个左右。嗯，我们一起去旅行，一起打球，一起跑步，一起打游戏，一起学习，。 运动听音乐和朋友倾诉， 在空余的时间，我喜欢呃写一写题，嗯，去跑一下步，打打打打篮球，跟朋友打打游戏或者出去玩。 没有什么秘诀，天生如此。 学习还算轻松，同学们关系友好于老师的关系也非常的好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_599/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "挺好的，真的很好，非常的好。呃，上课的时候真的我表现很不错嗯。 呃，我会学习度过周末，看着书片，要么看着电视或者是和朋友一起出去玩耍。我最有意义的，周末是我出去泡温泉了啊，没有了哦。 是就比如说我学语文上课的时候，之前很难受，现在变得很开心。上课积请回答。 就是我在看你的时候，我觉得很想笑，很有趣，我觉得跟你讲很谢谢你的。 我会阅读书和阅读书篇，然后再弹过钢琴，拼首曲子来缓解。 有吧有一有一位同学吧，他总是很幽默。 凭靠着我坚强的意志保持活力和希望。 勤奋至极 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_608/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "做二有很多东西都需要都需要购买更多更多的知识。 平静无聊 看看书，看看视频 没有没有 放松身心。 那边是嗯早上起来之后起来之后，一般会先喝一杯水，然后做做作业。中午吃完饭后会看看视频，电视，下午也是写作业。不过有一些自己的个人时间。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_612/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "哼为什么学校的吹风机坏了？为什么学校饭这么难吃？学校饭好难吃？为什么我吃不到我想吃的谷，我妈什么给我那么大压力？ 不知道。 我晚上睡不好觉，我上课睡打瞌睡老是点名 不知道就是慌。 无聊平静，非常的无聊。 睡觉画画，玩游戏。 我朋友生日了，我送了他礼物，他对我说谢谢，然后他去的广州玩，他说下次后就去广州玩哦。 不知道，就是不开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_637/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "啊，非常不错，really good。 有。 听音乐运动聊天，仅限于你。 我有很多很多的好朋友，我们一起睡觉，一起洗澡，一起吃饭，一起上课，一起做作业，一起上晚修，一起早读，一起跑步，一起上体育课。 一、听音乐，二、运动，三、仅限于和你聊天。 听音乐运动聊天仅限于你。 开心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_639/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "不能。 他三天一次 平平无奇。 和长时间无见面的朋友见面。 听歌。 生病的原因，神疑鬼精神不太正常，身心也不太正常，思想也不太正常。 身边人精神不太正常，思想也不正常。之前怀抱期待去做，现在提不起精神。 是靠自己感觉靠自己感觉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_645/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "去到公园散步，散心与朋友家人交谈。 考试没考好。 很普通的周末。 学习很累 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_647/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，除了国庆的时候，就大概前几天国庆的时候，我不知道为什么大早上爬起来，跟个摩怔人一样，莫名其妙的。然后我家里这些相处模式就跟那个什么那个冷宫一样，阴阳怪气啊，不整那样，不是阴阳怪气，就是那种各种每个人基本都不理，都不理什么的，就不理我很烦嘛。然后我也不想讲话，跟那魔怔人一样，我玩手机也没有什么有意思的，还不如去玩小AI真无语。 我我之前玩原神，然后然后以前我玩游戏有多屌呢，大概一天玩十三个小时，玩完以后就去睡觉，睡十个小时八千。然后后来我现在玩手机玩游戏啊，现在半个小时都没有了，画也不想画，然后游戏也不想打，很无聊啊，然后对他们充失去了兴趣，我甚至连谷子都不想买了，好好很没意思啊 我爸他们妈都我爸和我妈都是一坨狗屎，屁事没有，然后一天天在那装，就我一天一天天到底在那装装装装装，然后跟我指手画脚，烦的要死，还想给我扣帽子，就一直恶心，整个恶心人烦死了很恶心。然后周末出去玩硬要拉上我，硬要拉上我恶心死哦，我根本不想跟他们一起出去。然后后来还说什么呃，不要自大，不要怎么怎么怎么怎么样，怎么的，又给我乱装，恶心死滚。 就我不是一直都说喜欢打游戏嘛，然后现在二游做国内二游做的还不错，然后里面的游戏就挺好的。然后还有那个语录嘛，就仿佛就是我喜欢的人是在跟我讲话，然后他们讲话也特别的戳我，很很有意思，很好听，就哎呀，说话又好听，又逗人喜欢还那么厉害，谁想走啊？这么好玩的东西。好的，我再也不想和你聊了，再见，不要拿AI糊弄我了再见。 我之前不是啊国庆的时候，我我爹妈就是出去了，两天很开心嘛，然后我朋友就过来又过来和我合住了一天，就特别特别开心。然后后来我是做过那个cos服出街，然后我第一次画那个什么奇奇怪怪的妆容，就画的很荒谬，画的很荒谬。然后然后我我一天过去很开心，虽然我那天走了六个多小时，累得要死。然后我那一天我就玩游戏抽卡嘛，我和我朋友一起抽，他应该是看得懂我们的抽卡机制的那一天，o的特别o歪的，特别我欧的特别o歪的，特别就是仿佛经历了我人生中的大起大落一样，特别牛特别屌。然后这个大起大落过后，就是就我们那天还吃烧烤，特别很好玩啊，以及可乐很好喝，大概喝了好多好多瓶，呃，也不是说好多瓶了，就是好多好深挺好的，但不过我主推抽卡歪了，我还是很难受的。 我我要是大半晚上睡不着的话，我直接原神启动了。呃，我直接没关系，我手机里面六七个游戏，我晚上一个一个一个游戏，一个小时，随便我玩一个晚上就过去了。呃，或者说我也玩AI啊，就是哎就别叫然后然后我大，然后我就挺挺牛的，没关系，反正最近反正之前也不是没体验过玩游戏，玩十多个小时，然后反正我挺需要玩游戏的，没事熬夜打游戏。 有吧我前室友啊他呃有点强迫症，然后强迫到就是他干什么都很慢啊，已经慢到特别牛的一个地步啊，就是比别人都晚半个多小时什么什么的。然后就导致他吃饭，写写作业，考试什么的都特别特别慢，特别特别焦虑，就感觉很不好。 我那个我那个考试考了一坨狗屎，我我没什么好描述的，挺荒谬的啊，他他很牛啊，那个数学特别特别难。然后我还因为前段时间搞什么奇奇怪怪的国测，然后让我根本缺了三天的课。呃，我上课跟那个睡神一样，睡一整天死鸡巴烦你啊，很荒谬。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_664/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "就是我玩游戏受到了很大的影响。我之前回家玩电脑玩都玩不了。我每天周末回家开心的玩，现在父母根本不让，太难受了。 跟家人是非常的和谐，非常的好啊，然后他们对我的期望很高啊，然后我的爸爸呢他非常的有时候很坏，他老是很严厉。然后呢，我非常的在家里，有时候非常的压抑。然后呢，我和我妈妈相处最好，然后和我妹相处也很好，就有时候和我爸相处一点都不好。然后呢，后我爸呀对我的妹，对我妹非常的好，他肯定是偏心了。然后但我他有时候对我又非常的好，太可恶了。 马上要期中考试了，这个期中考试啊非常的可恶。怎么说呢？要是没考好的话，家人会非常的失望。所以说为了不负众望，我必须要考的好成绩，让我非常的难受。然后呢，因为考进前两百名非常的难，但不过父母的期望就是这样子，所以说我需要全力以赴的做到非常的难受啊，非常的压力非常大呀。然后昨天睡觉啊，十二点多才是睡着，很难睡着啊，老是失眠，睡不着觉，根本睡不着，好像没有别的了。 期中考试太难了，父母的期望太大了，我的心里太压抑了，我想睡觉，我想回家在被窝里面玩手机，我不要上学，吃了饭菜太难吃了，跟屎一样，太难吃了，太容易失眠了。我不要。 很担忧，我以期中考试非常的担忧，学习太难了，太难了，我不想学了，我要回家找爸妈。 马上就要期中考试了，非常不愉快，我不要考试，我要放假，我要睡觉。 失眠让我的作息很不规律，上课的时候会打瞌睡，严重影响到我的学习。还有那个还影响到我的心情，非常的难受，然后失眠的时候会很难受，想哭啊。 都在担忧期末考试能不能考好。 睡不着觉，根本睡不着，一点都睡不着。还有我们说那个李子兵打呼噜好大声，根本睡不着，太难受了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_670/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "宁为玉碎，不愿瓦全。 信仰的力量。 你么办？自我激励王老师。 看新闻，做模型，骑车。 没有 一般到图书馆去写作业，然后骑车出去玩。 考试考不好 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_675/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，我会选择开心平静，还有喜出望外。 嗯这种状态的话呃没什么影响的话，可能也有吧，就是呃每天晚上的睡觉，我都得花个十几分钟去把第二天的英语单词背下来。然后嗯还有就是就上课可能会有点困，但其实虽然会困，但我发现他并没有影响到我的学习，就可能会影响到我的视力吧。 嗯，最近物理考的还不错，然后物理考的还不错。嗯，琴姐拿了一个满分，然后然后英语呢嗯被被英语老师指导了一番后，嗯，对英语单词有了新的理解，解悟，就更容易记记这些单词。然后政治呢一如既往的嗯优秀啊，还有就是嗯更喜欢物理了。原本对物理没有什么嗯，就是具体的了解就是把它当一个平常的科目去对待，但是现在是会更加热爱。 嗯之前比较坚信自己的未来的一个职业规划。但是现在受这些影响的话，会让我感觉我的职业规划可能会出现另一条道路。因为就是会让我感觉我现在这个道路它可能不一定能行。 嗯这个有人告诉我，最近心里很慌，具体是看这个人与我而言是怎么一个身份。如果说是陌生人或者同学的话，那他心里慌不慌，跟我没有什么关系啊，他就算死了也跟我没关系。呃，如果是朋友的话，就是会安慰或者是同理心拉满。 呃，当你觉得心情烦躁的时候，就去烦你周围的朋友嗯，或者嗯找点事情转移注意力。 嗯频率比较少吧，就一周可能一次，也就是无聊的时候会有，然后就发生的频率会比较少，可能就是会在黑暗的环境下，会想的就是更加的多，更加丰富 嗯，最要好的两个吧。然后嗯其中一个我每天的每周的乐趣就是去烦他，然后他他就会让我滚，然后我还是依然烦他。然后另外一个就相处会相对正常一点，就是会显得我更加成熟吧。然后就是那种普通朋友呃，就是呃不同的朋友，会有不同的相处方式。 就是我们的新主任，他经常拖堂，他教地理的，你们能不能反馈一下？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_684/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "可能就是学习学的不是很踏实，然后睡的也比较晚，起的也比较晚，耽误吃早餐了，没早餐吃。 呃，嗯学习上的压力加上考试考差了，然后再加上社交那些的吧，就这些。然后还有有时候父母可能就会逼得比较紧一点，会感觉心里不舒服。然后有时候买东西吧，涨价了也很心里很难受。然后最近都考差了，就肯定很有压力。然后晚上原本晚上就是那种睡不着的那种很难睡着的那种。 最有趣的一个周末，好，就是去东莞万江参加漫展吧，原始的漫展和我哥一起去的。然后那个漫展买了天官赐福一百多块钱的礼盒，然后还买了那个迪卢克的手办，然后然后还看到了嗯百万粉丝，百万百有百万粉丝的cos那个博主神谕就很开心，因为我也关注他了，然后还看到了有一个穿着女仆装的魈在跳，那个极乐净土就很开心。 没什么秘诀，就是呃可能每个人都有喜欢的东西吧，像我就比较喜欢漫画动漫日漫那些吧，然后比较追追了五年了吧，就是很喜欢那个天官赐福。然后每次有什么事情的话，都会想着如果没做好的话，万一不能再继续喜欢了怎么办？然后就是依靠这个来保持会希望的。然后还有就是现在不是初三了嘛，要考高中，就是考上好高中的话，可能会可以更加进一步去喜欢自己喜欢的东西，也没什么秘诀，就是看个人吧，个人喜欢的东西就去一直去追求下去。然后就就是呃可能就是你也可以以父母对你的寄托来当一个活力和希望，他不一定是你考好就给你钱那种的，就是能让自己你自己感到开心快乐那些就可以就以自己喜欢的东西为目标，一直坚持下去吧。 就是我妈我不是画画比较好嘛，然后然后后面就是还要月考的时候，国庆假期。然后我有一次就在那画画画，那个我最喜欢的那个漫画里面的人。然后我妈那时候就说我不学习就在画画，然后嗯原本之前我是很喜欢画画，特别喜欢那种，就是不管你哪儿都能画。然后现在的话就是因为初三学业比较重嘛，然后画画就比较少。然后但是我一画的话，每次都会给我妈发现我妈每次骂我，然后就受到一些影响吧。然后最近就没画了，想画，但是又想到我妈真的说让我学习，然后就没画，每次想画都没画，画了一堆草稿在那里，原本后面想着涂色。然后勾线条的，然后后面也没画，然后那些有些画还被我撕了。 就是月考的时候数学没考好，然后还有那个语文，他那个作文他让写的是什么嗯，什么写，你是我的风景，好像是这个题目，然后可能有点跑题，然后阅读也没做好，选择题也不知道怎么做。然后考数学的时候，肚子一直在痛。自从写完前面几道选择题后，后面一直在痛，然后就大脑不听自己使唤，有可能就考的很差，没及格，肯定不可能及格五十分都不知道有没有。然后物理的话虽然认真做了，但是因为别人答案跟我很多不一样，我就有觉得可能是自己错了。因为物理上一次考六十，然后其他的历史上次选择题错十一个，这次错六个哦七个，然后考的都还行。历史的话应能及格上一次考五十的，我这次应该能及格，但是数学那个选择题三十六分，答题卡相当于没涂吧。呃，又或是给我的那个嗯那个什么棉花娃娃，他那个头发有没有想买的。然后但是因为没钱了没买，然后就比较难过。因为他那个衣服是天官赐福的，花了五十九，然后他那个娃娃是自己买的，裸娃也花了四五十，然后娃娃没加头发，没加表情，那些就花差不多一百。然后我自己花了眼睛，然后想买头发。如果买完的话，这个娃娃大概就投资了一百多，然后就是也不要怎么给它弄，然后还有一些什么？嗯，最近想养猫，但是我妈不让我养猫，因为小时候养过狗，然后狗就死了，然后我妈也不让弄，然后就挺烦的吧。除了国庆玩的时候还挺开心的，其他哎都不好过。 考试考差吧。 就是刚才不是说那个漫展嘛，那个漫展上面看到那个魈跳舞，哇，真的真的很好看，就是有时候就自己也学舞蹈，但是就是学不好，然后在那个漫展上面，然后遇到了一个交了个新朋友，那个朋友也也喜欢，天官赐福，我也喜欢。然后他当时还cos系列了，然后跟他集了邮，然后还跟花城就集了邮，然后就跟很多人集了邮，嗯，然后就是很开心。然后回来的时候，在漫展上遇到了个个小学同学，他也cos，cos的是胡桃，然后就是也挺好看的。然后就是像的就是有时候自己也能cos一下的。然后就是呃以前的时候做饭不怎么好，然后现在做饭也很好。然后我爸妈也说做饭做挺好，然后现在有自己独独立时间可以出去跟朋友玩，然后就是可以在网上买东西，然后有时候可能会碰到自己喜欢的东西，可能就会攒钱去买就很开心。但是又又有因为学习的压力，那些的话就感觉有点伤心。 我跟你说，数学考试相当于答题卡没出三十六分没了，你告诉我让我怎么开心，你让我怎么开心，我数学都不及格了，你让我怎么开心，我物理选择题都不知道，对不对呢？ \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_686/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "聊天。 放松。 好好尴尬呀。 五六个吧，经常上下学都会在一起。 多聊天。 没有。 玩。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_687/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，没有一个一个都没有。 有十个嗯，我们几个一起扳手腕。 开心。 嗯，我会画画，还有睡觉。 哦，这个嗯呃就是嗯我呃睡的好，吃的，好，玩的好，然后学的学的学的挺学的也挺好 我自信我能行。 喜欢画画。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_694/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我孩子还行吧，上课都听得懂，也都会考试，也没有考前焦虑症，就感觉很好吧嗯。 看书出去玩，打羽毛球跟家人聊聊天，或者是自己放松听音乐，就这么聊。 来一个我喜欢玩手机，或者看一会儿书吃一些零食，然后打巴西。 一起出去玩，跟家人去爬山，呃，在家里面会星六星天，在家里面会家里面看书写作业，玩玩手机，看看电视，然后吃些水果，放着放着让的吃点零食，最有趣就是去爬山自你好好。 没有，应该没有吧，都很平都跟平时的状态一模一样。 有点很是要平静开心，开心开心。 东西自己给自己定一个目标，自己给自己定一个小目标，每天向着目标前进。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_719/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "怎么说呢？就是觉得最近学习压力特别大，那老师呢就是什么事情都搞不清楚，在那里骂人，然后你动不动就留堂，动不动留堂，就是一点点声音都要留堂。他之前不知道我们之前有多糟糕，之前整栋教学楼都是我们班的声音，只是现在一层楼都是我们的声音而已，而且他作业布置特别多，他他没学完，他也要布置他，然后他又不改哦，嗯气人了，他改就算了，他不改，他还让我们自己对答案，你说气不气人，你也觉得气人吧，你都点头了，你肯定觉得很气人。 开心very good十分开心超级开心，我现在就很开心，我超级无敌开心，你等一下。  Play basketball打篮球蹦蹦蹦距离太美，唱唱跳rap篮球，你爱打篮球吗？你要跟我一起吗？ 嗯，呃我最近的学习生活状态怎么说呢？跟我上个学期呃相差很大吧，就是上个学期呢呃上上上个学期呢怎么说呢？上个学期就懒懒散散的这个学期开开学就感觉自己学习的很认真，但是怎么学都学不进去就很烦恼。 怎么说呢？让自己身心愉悦吧。呃，没有别的方法了，我也不知道采取什么方法，而且而且我也不会遇到这样子的情况。老师，你会怎么你会怎么采用什么样的方法来缓解你自己呢？老师。 每天让自己身心愉悦一睡睡到中午，然后呢非常开心啊，除了上学就是就是呢呃玩手机，让自己心情好起来，做一些有趣的事情。比如说用我们心理里面的游戏，做点心理小游戏啊。 我怎么知道我怎么知道他们状态是怎么样的，我只在乎我自己的感受，我肯定不知道他们的状态是怎么样的啦，我一点都不了解他们，而且我没有朋友。 怎么说呢？我主播就是写作业，写作业，写作业星期五回去呢就没有空就玩一下手机，然后就写作业，写作业，写作业周末时间一点都不够，然后呢睡觉时间也一点都不够，真的是星期天下午又要回回学校，又要写作业，又要写试卷，真的很烦呢。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_722/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "平静一点就会比较开心，有活力和希望。 慢了四十秒，我喜欢打篮球，跟朋友一起玩没了。 并没有这种状况的同学和朋友。 我跟其他人的相处方式就是非常平常沟通的话，就是正常沟通。 我会自我调整，调整不好的话，我会去寻寻找心理老师的帮助。 学习状态非常好，上课都听得懂。老师讲课非常认真。 平静。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_726/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "学习成绩不好。嗯，学习成绩不够好，然后在假期期间别人都出去玩，基本上就我一个人呃，基本上都在补习， 没有。 呃，听一些音乐，然后做一些自己喜欢的事情来缓解。 喜欢看一下平板，然后看一下电视，做一些自己喜欢的事情，还有听一些音乐。 我会选择平静。 嗯，最近月考就是国庆期间明明已经补课了，然后呢也写很多作业。但是呢月考之后发现自己考的并不好，所以感觉很沮丧。 大概有三四个吧，呃，其中有时候周末时候会一起出去玩，然后呢嗯。然后在图书馆里面学习，然后有时候会一起聊天， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_737/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "更多的是无聊。 好像没有。 没有，深呼吸吧。 会一般会在作业里度过，要么就是，嗯要么就是看学习视频，要么就是写练习，那好像也没有有趣的事情。 嗯，我是一个开朗的孩子。 有但不多。 嗯，无聊嘛，上课的时候会走神，老师讲的很无聊，之前是很认真的上课，但现在呢会有一点走神。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_741/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "上网打羽毛球。 相对民主。 知足常乐。 合理宣泄分散注意力 没有。 然后学习生活，一切正常。 平静 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_753/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "最近总是感觉很焦虑，怕成绩跟不上别的同学。 嗯，让我可以更加努力的学习，但是时常会很焦虑，心情很低落。 嗯，就是保持希望的话呢，可以让自己有更好的状态和心情去学习。然后呢，我的担忧刚好就是学习跟不上别人，所以呢我就会一直保持活力和希望。 作业太多，有点写不完，然后学校还有各种任务背书跳操，我都做的不是很好，害怕自己学习跟不上别人。 嗯，有十个我们都在一个宿舍，经常一起玩，然后他们也经常帮助我学习， 大概每周一次吧。 比如之前我每周都会跳舞蹈，上舞蹈课，现在由于作业太多，已经已经没有上舞蹈课了。 最近作业比较多。最近作业比较多，一直有些写不完， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_755/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "每个人做自己喜欢做的事。 去那个心理咨询室。 就是就是学习上遇遇到了些困难。 喜欢打还有羽毛球，还有篮球。 暂时还没有 开心。 就是我们经常去打球。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_759/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "开心开心。 学习非常好啊，我学习非常的不错啊，非常认真啊。老师讲的内容也听得懂，ok下一题。 有有有，好吧，其实没有 打篮球，打篮球。 我一般都是，去打篮球，和好多好朋友一起去打篮球，然后写作业，然后他们打球很厉害，可以教我打篮球。 呃，安静下来想一下未来，我这回答蛮。 呃，打篮球和踢足球和打台球，我太厉害了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_761/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "一直让自己开心了就好。 平时作业都很多，有些有些都不会写。 我现在不知我不知道学校有没有。 在学校我都想自己做一些手工之类的。 开心。 因因为我以前小学那两个朋友现在我经常和他玩。 我会我会想以前我开心的事情来缓解。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_782/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "不能不能不能不能不能不能，我要拒绝，我要拒绝。 开心开心，开心开心开心，开心开心。 没有没有没有没有没有。 开心开心，开心开心开心开心，开心开心。 转移目标，没有如果。 呃，写作业，打游戏，睡觉，吃饭，没了。 玩游戏、玩游戏、玩游戏、玩游戏、玩游戏、玩游戏、玩游戏 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_790/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会选择愉悦。 很多事情我觉得一直保持活力和希望，就是用好的那一方面看待生活，坏的方面都会有的。但是我们要用自己乐观的那一方面去看待生活，嗯，要尽量往好的地方，不好的话，我们就努力改正。 呃，会有，因为学习而也感到压力很大，而且非常浮躁的，晚上都睡不着觉。然后呢，白天起不来，然后上课就都没精神的那种，我说话说好快 嗯，我们的相处方式十分呃温馨和谐。然后我们平时就是类似于朋友之间的沟通，就是平等的关系，也可以开开玩笑什么之类的。 嗯，就比如说心情好的时候呢，回答问题，然后被老师表扬会更开心。嗯，之前的话就是也爱回答问题，然后回答完之后呢，就是可能没有，就是这段时间就是更开心吧。 对于一些学习上的题目啊，如果有不会写的会有一些些压力的。但是呢后期我会调整自身的状态，紧接着去自学，或者说是去呃去学习课，呃，再去学习一遍呀，或者刷题，总之很快就能调节过来。 我会做其他事情来分心，来使我自己分心。对这件事不会更加上心。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_796/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有没有朋友都很好 在之前是做一件事情，是负有很大的积极心去做的。但是呃呃现在就变得任何事都索然无味了。 无聊疲惫，疲倦，不开心。 去寻找老师和家长的帮助，积极的去解决这个问题。 三天四头都这样，朋友很好，人也很好，他们会帮助我如何谈论这个事情。 呃呃，结识好的朋友，然后呢制定好自己的目标，让自己一直充满着动力。 最近学习状态很好，什么都挺好的，作业也差不多很少，在校生活也很好啊。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_808/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "过好自己就行了。 平时都是晚睡晚起呃，然后起床就出去玩，玩到很晚才回家。 呃，学习不太认真，然后然后打球的时候也不太好。 太，还好吧。 没有。 自己运动一下就好了。 呃，空余时间和朋友聊聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_811/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，一些家人的矛盾，学习上的压力等。还有啊还有一些学习考试的焦虑和一些学习成绩的影响。家里人家里人的嗯一些矛盾之类的。 嗯，一些和家人，一些家人之间的矛盾，还有一些是学习上的压力平静。我刚刚就 呃，会给我的学习带来一点影响，生活上也也有影响，就就生活就是会想到这些事情，就是会心里也会很慌之类的。 嗯，一周有个两三次。 我朋友挺多的，就刘副经吴雅员求一起，都是我挺要好的，朋友就跟他们在一起挺开心的，就是可能在学校唯一的开心的就是这几个点，就是玩的也挺好的，跟他们在一起挺开心的。 考试家庭学习上的焦虑。 一个嗯就是一些心理焦虑和一些呃很心理焦虑，一些很难受的一些想法。 嗯一些平时喜欢做的事情，在嗯情感的感感受下也提不起兴趣。比如一些呃自己的兴趣爱好之前就就很感兴趣。这些事情现在就没有像之前那么喜欢被一些情绪受到影响，喜欢间 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_820/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "呃，我发现一个非常有趣的现象，就是比如说在那个在第一天住宿的时候，我就是翻来覆去睡不着。因为我在我是非常认床的，然后呢，到了一个全新的环境，我非常非常不适应。但是经过了这几周的适应，我现在在宿舍里睡觉，睡得非常踏实。然后有了充足的睡眠，我的生活也有了动力。生活有了动力，对周围的一切都充满了活力与希望。所以我感觉我在生活，还有学校里是感到非常快乐的。但是呢就是在学校里有偶尔会有一点想家，其他的都没什么了。 呃我的心情可以用开心这个词来形容。因为在学校里，我是真的交到了很多好朋友，我是我也是真的很开心。我还有一个非常幽默的朋友，每天我都会被他逗笑。当然在学习上也会有一些困扰，但这些困扰也不是非常的严重。当而且有了这些朋友的慰藉，我感觉到生活充满了乐趣，在学校生活也很开心，没有什么压力，也没有什么抑郁的现象。 呃，让我想一想，我六年级有一个朋友，他总是为学习而焦虑，我就是总是安慰他说其实这样子没什么的，而且他学习也很努力，这种担忧和焦虑是完全不不不必担心的 不是，如果呃在学校学习，我感觉很快乐。因为在学校认识了新的朋友和老师，我的老师教的都很好。所以呢我感觉在学校生活的时候没有什么压力。至于学习方面努力努力应该也没什么问题，所以我生活还是不太焦虑的。 首先我会去找心理老师或者心理咨询处去缓解一下，让老师来帮助我，又或者我可以和同学们诉诉苦倾诉一下，这样也会有助于身心的缓解。 呃，我的秘诀也没有什么，就是因为在生活上有朋友和老师的帮助，也有家人的支持，而我自己也不是那种特别悲观的人，我会在学习和生活上让自己放松，不是那么紧绷绷的。然后考试的时候，我也会提前复习，认真认真考试，这样子学习也不会很糟糕，生活也有了动力和希望。 呃，我我在六年级有一个非常好的朋友叫土豆，土豆是一个外号。然后呢，我跟他是从一年级认识到六年级，我跟他每天都是中午放学，晚上放哦，中午放学一起走。然后呢，我们的友谊非常的好，可以说是地久天长的。在暑假的时候，我我和他也会联系。呃，而且呢这是很有趣的一点是我经常在梦里梦到他。然后在初中初一时期，初一上学期的时候，我有一个我觉得比较好的好朋友叫徐美，他就在我旁边。然后呢，因为我感觉呢这个人比较坦诚，还有一个好朋友，他很幽默，我也很喜欢跟他玩。 在空余时间，我喜欢听故事，就像在喜马拉雅上面听单田芳老先生讲故事，这是我的第一大爱好。那如果说我的第二爱好，我喜欢弹钢琴，我也会钢琴。因为我觉得弹钢琴能治律治疗我的心灵，治愈我的伤心和不愉快，让我沉浸在音乐之中，是一种非常美妙的感受。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_854/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "大概是三四次吧，晚上睡觉的时候老是睡不着，然后呢也不知道在想什么，反正就很担忧。但是呢我适当了很放松，但是呢就是睡不着，会为那些学习而时间太紧，那些而烦恼。 你好，比如说今天的那个我们小组要写英语手抄报，我觉得这件事情很有趣，是小组的分工合作，但是我的同桌没有参与进来，就因为他是差生，然后呢就不他就不愿意参与进来，然后那个便利贴上写着写着一心有些不好的话，然后都被他们看见了。 呃，就是宿舍问题，人际关系不怎么好。那个宿舍长的话，那个宿舍阿姨是随机选的，就不会那么会管纪律。但是呢在宿舍生存中的话，还是宿舍生活还是挺可以适应的。就是作业平常的话会有一些多，然后呢，但是呢还是可以写完的。嗯，然后呢最近遇到那些什么那些女生八卦，然后呢我又不喜欢很八卦，我觉得学校是过来学习的，而不是过来谈论那些八卦的。然后呢，如果谈论八卦的话，有一些人会造谣，然后呢使得某些人不开心的。 最近，最近心里也是有一点慌的。老师上课在抽人问题的话就是害怕不会不会的话，老师会在课上扣分什么的。然后呢，晚上的话睡觉的话很就是心里很慌，就是几乎睡不着，但是呢又想着明天要学习，到时候上课会犯困。 虽然说学习压力和生活，我现在是慢慢适应了学习情况的话，还好上课都有，认真听讲，都大概率听得懂，也会尝试了去辅导他人不会的题目，这让我感到了分享的快乐，但是在生活方面上的话，或者是时间安排上的话，还是要多加安排比较好。 因为他们男生总是看女生的腿，然后我之前的话就是穿短裤，现在的话是穿长裤的。 去世的话就是我每天和那一个好朋友一起吃饭，然后还一起上厕所。嗯，然后呢，他后来呢找了一个舍友的人，然后呢，就后来不怎么和我一起吃饭玩了。然后呢，我觉得那女的那个女生的话，我也尝试融入他们，但是就是融入不了。在宿舍问题的话，有个人他洗衣服特别慢，到十点多也没有洗完，就心里感觉有点影响到自己休息了。然后呢，和他说话的话也还有点费时间，就是说那种话的话很那个，但是呢我已经尝试让他改正洗衣服很慢的那个习惯，他现在差不多也改了。然。 给自己一些时间安排，然后给自己定个目标，向着什么方向前进。然后呢，为了哪一些人，然后来学习，但也不是为了那些人，而是为了自己能够更好更有成就学学习的。嗯，保给我的话就是自己的偶像，他成绩比较好。然后呢，我想和他考同一所同一所初中啊，不是高中。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_855/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "充满充满对自己，充满充充满自己的，是充满自己对呃学习的兴趣爱好，可能就是对运动的热爱吧，比如篮球啊、跑步这些。 呃，这些生活中可能是我以前没有遇到的。如现在新生活着的住校，就是以前是没有遇到的校校自吃饭饭就是很很有时候很轻松，也很困难。就是很开心吧。 就是每次睡觉前都会感觉自己今天上课没有上好学习，没有学好，一切都是很不尽人意。然后每次数学课的时候都会感觉很紧张。因为老师每次上课的时候讲的很快，然后呢有时候听不懂，有时候听得懂，然后听得懂的话就感觉很简单，听不懂就感觉就提一个天上一个地下呃睡眠，有时候睡眠就是老是睡不好，平常应该是九点半才休熄灯睡觉，然后每次都会因为这些事情而到十一点或十二点。 呃，三个词三个词的话其实都有吧。平静的话就是每次在上课这这这的呃上课的时候，老师讲的每个知识点，只要是重要的，我都会非常平静的下来听我也不知道这是为什么，开心的话，就是在晚休下课之后，每个同学都是非常高兴的，每次完成的作业，然后也是因为开心可以回家睡觉的原因。无聊的话，其实就是晚休写完作业，可是还没有下课，只能通过看书呃呃，玩弄什么东西来打发自己的时间。 呃，我身边的同学一部分都是因为有东西丢了或者饭卡没了，都因为打呃找不到饭卡，与家人们联系，或者与吃不到饭，经常困扰。然后这些的话，他们都是通过很通过找老师，还有还有自我处，还有自己处决，找同学帮助来解决的。我觉得他们的这种没有吃饭，这些就是很好的感觉。 呃，就是平常生活学习中有一些困难，但不过都是一些小困难，找同学帮忙同学都不太乐意对我帮忙，我就很快就解决完成了。然后像呃学习的话，其实也没什么困难。上课每次听讲就会呃，以每个问题都会迎刃而解，就是呃感觉生活都很轻松，不像平常那么有压力。 我每次都是跟我的朋友同学度过很多周末，然后呢天天和他们打篮球运动，呃，玩游戏，也就是感觉很开心，平常的话都是这一般这样我就感觉每天过得很充实，很开心，没有什么也都是最有趣的。但是也是有意义的，没有什么困难。 就是初中生活的这种快生活，让我感到说有点非常的初中这种生快生活，让我感到非常的有点不适。之前我打篮球的技术是非常好的。然后呢，但是因为现在的一些真就是很疲劳，学习很疲劳，而且每天睡觉的话都是很晚才睡。现在导致我现在有点篮球技术有点下降下滑，体力的话体能也在下降下滑。但是虽然说成绩在变好，我觉得体身体很重要。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_866/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我觉得哦我觉得我最近的感受就是我乱了。我觉得我最近的感受还可以吧，也不知道怎么说呢。 因为保持活力和希望有一个更好的身体用来学习。 我喜欢看书听音乐或者散散步。 我现在的学习和生活状态还可以吧？就是呃在宿舍的话，我就有的时候会背一下单词，或者是吃一下水果面包，然后再学习。在教室的话，就是写一下作业或者早读晚读。 如果我遇到了这种情况，我会一个人坐在呃呃凳子上，然后画一下画，或者听一下音乐，或者一个人去公共的地方散一下步 嗯，我我觉得这种状况我觉得这种状况带给我的旅行生活的影响不是很大吧 嗯，我觉得最有趣、最有意义的周末是在家里看一下书，或者是听一下音乐 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_871/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "也不是吧，就最近两周因为学习也比较比较落嘛，然后刚月考完，然后呃又要评讲试卷，又要讲新课，然后就是没有开学的那一周，那么的激情四射了。呃，就是现在就是感觉呃颓下去了，就没有什么呃东西能激励自己。 呃，就是可能上初三了吧，然后就神情比较疲惫，呃，然后就压力比较大吧，然后就总睡不够吃不饱。 可能就是可是就是可能就是学习吧。就是之前初一的时候可能会喜欢什么明星啊，都会跟同学呃讲上很久。然后现在就是因为没时间，然后也没什么可讲的，也不是特别的那个了啊，就讲的比较少。嗯嗯，就感觉呃生活很被学习充实，初三压力大，学习任务严重，然后又要中考就是什么都积在了一起。 最近成绩不太好，然后又非常的焦虑，这就是没有努力的方向嘛。 没有吧， 可能就是国庆的时候吧，国庆的时候就是早上帮爸爸妈帮妈妈呃开店铺门，然后呃就前几天先学习一下，然后后面几天复习一下，然后国庆也看了一场电影，叫志愿军熊军出击也挺好看的，也挺有意思的。能呃感受到那时候抗美援朝的那种代入感嘛，就挺就挺震撼的。呃，吴秀全呃，说中国人民终于站起来了，那时候就是有点，热热泪盈眶，然后平时候也会追追剧。最近看那个什么他从火光中走来，就讲消防员的，我觉得讲挺好的，都是由这次事件改编的，然后也会呃平时候也会打下游戏，打王者荣耀。呃，但是每次就是很容易输，然后就是不想玩了，然后就会去干别的事情。看一下水浒传的那个解说，就b站有个up主，呃，做的挺好的，就会看一两集吧，然后晚上就睡觉很舒舒坦了，然后基本上国庆呃就差不多度过了。 其实也没有什么压抑和难过的事情。就是最近呃小学呃学生就要不然就是呃一般都是学习比较压抑吧，也不是压抑，就是比较难南学进去就压力比较大，然后考完月考，然后成绩也不太好，就是有一点呃有一点不知道怎么办，就感觉每一科都很差，然后都补不上去，都不知道以后要怎么办。 影响应该不太大吧，就生活就有点吃不饱，睡不够就有点累。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_878/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "感觉呃嗯自己做错了很多事，给很多人带来了麻烦，没有尽到自己的责任，也没有没有人把学习和各种东西做到很好。有时候我真的有时候感觉自己像个罪人，我也不知道为什么，我不知道该怎么说 前几个星期就是上学的时候，突然情绪崩溃了，回家以后就和父母大吵了一架，那个时候根本没有控制好自己，说出了很多让爸爸妈妈伤心的话，然后感觉让家庭关系可能变不太好了一点点，不过后来还会恢复到原样，然后和姐姐聊了以后，就感觉自己做错的非常多，是不应该那样。 几乎每天都会呃经常控制不住的去想很多东西影响到了我的学习和生活 这种状态让我没有办法很好的学习，像上课的时候集中不了注意力，很容易就被带偏了。然后那我这里面会突然冒出办多想法，根本没有办法控制。然后有时候学习会觉得心浮气躁的，没有办法，静下心来就是没有想法。像以前一样专注的学习了，生活的话就是感觉精神没有以前那么好，然后食欲也下降了很多，抵抗力也不怎么样，然后经常生病，然后比较喜欢一个人呆着，感觉一个人更好。然后很容易对亲人啊，他们发脾气，其实我也不想，但是就是突然会感觉很烦躁，很生气就发火了。 总是会感到压力大，很焦虑，然后情绪很低落，心里也同时很浮躁，根本没有办法控制，感觉就像情绪掌控了一样，然后再见呃也有开心的时候，但是不会很久，有时候就一会兴奋，下一会又突然难过起来了，会因为很会很莫名其妙的过去提出 我感觉自己干了很多很多坏事，给家里人带来了很多麻烦，给别人带来了压力和很多烦事，跟家人也吵了一架，然后感觉自己错了。然后最近的情绪一直都不太好行，然后，感觉自己实在是太矫情了，一直在无病呻吟，明明有那么多比我苦的人却总觉得自己很难撑不过去。然后最近暑假放假，最后几天时候住医院检查，检查出了抑郁症，然后呃有在吃药，也有复查几次，我就总感觉自己在无病呻吟，或者很矫情，明明别人都能扛过的事。我为什么不能扛过呀？嗯，明明别人都可以做到事，为什么我做不到呢？然后就呃觉得自己真的没有得这个，是来装病。但是很多躯体反映都告诉我，我是得的病，会经常手抖，头痛，胃痛胃疼，然后经常呃投入很多很多想法，明明根本没有想要想他们的，但是就是控制不住，然后会控制不住的去伤害自己。想死。但是我得告诉自己要好好生活，不然爸爸妈妈他们会难过。对，因为他们已经很辛苦了，还有我这个负担。然后我升入初二以后，学习压力也增大的，因为感觉自己记忆力下降了，然后专注力集中修养，就怕落下学习。 我一般会在星期六上午写完作业，然后是玩手机复习，或者偶尔会和朋友或者妈妈出去逛街。我觉得最有我觉得最有意义的，周末啊的话啊，好像没有最有意义的。 譬如我喜欢弹的尤克里里，之前是很喜欢很很经常去练习他的，但是后来也就变懒了感觉，然后对很多东西也有点提不起兴趣。对尤克里里就是感觉没什么感觉了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_891/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "多想一些美好的事情，还有自己的朋友，一些有趣的事情，呃，是想想生命的美好自己的目标呃，和梦想 从容平静呃，但是也比较开心。 还不错吧， 呃，平常会一起玩玩乐学习，呃，时不时会也会吵闹，等等 嗯想一点开心的事情，呃，想一想生活的美好 打羽毛球看书写点题，。 嗯经常发生时不时就会发生几次 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_898/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有 画画 嗯，最近生物很有趣，然后呢语文老师也很好，然后吃的好也睡得很好。 嗯，和朋友玩吧。 呃，去找老师沟通。 有一个很好的朋友，呃，我们是从六年嗯就样吧。 呃，平静吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_900/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "平时就是一言不合，可能会吵起来，然后呢也不知道怎么说就会吵，但是他们都会受伤到最后而且我也能感受到，就是平时沟通可能不多，也不少。 兴趣爱好，提不起劲，差不多吧，感觉有点无聊。 无聊。 感觉作业太多了。 学习上课的时候，总是在担心某些事或者是焦虑，有些事感觉集中不了注意力。 两天一次吧，差不多。 学校有好多作业，感觉压力有点大，并且老师上的课我觉得脚步有些快，感觉老师跟小学的也不一样，比较严格，就是抓的比较严。然后感觉离开父母和家庭还是有点不习惯。 我觉得感觉总是很焦虑，就是睡觉感觉睡一会儿就醒过来，睡一会儿就醒过来，不能很完全的投入，感觉就是还有些焦虑和确实心里有点慌。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_901/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "开心。 我会让自己放平心态，让自己有一颗乐观的心，并且努力学习转移自己的注意力。 我会让自己放平心态，鼓励自己，相信自己去听音乐、看书阅读。 我会去山上散步，会和家人一起看电视、喝茶、吃水果、吃饭，自己还会画画、学习阅读，每天都很开心，还会去吃自己想吃的 我身边并没有。 我喜欢画画。 最近心态很放松，没有焦虑和紧张 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_908/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我挺想挺喜欢看漫画书的。 和朋友聊天容易把话题聊尴尬，好像很多人都不喜欢与我聊天，我不喜欢这样感受，所以就觉得很压抑，很难过。 有一些吧嗯。 容易坐立难安，心里很慌等。 我感觉很多时候都跟不上老师的脚步，就有点迷失方向的感觉。 总感觉朋友嗯做什么事情聊天那些一看到我来了，就把话题给截止，让我很有点伤心，而且感觉在家里是最快乐的。 容易把和朋友交往，容易把话题比较尴尬，而且让我想想没了。 嗯，目前不记得了。 学习有点压力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_924/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我呢在这里在这个初中，我我过得特别的开心。可以这么说吧，感觉就是比小学开心很多，也可能是因为我认识了很多其他的朋友。还有我跟你说过的那个特别好的朋友，他很有趣，而且跟我的还有很多共同点，，就是就是你要做到只是好奇的测试。而且还特别喜欢跟他讲一些有一些其他的不同的话题。对你知道吗？反正跟他跟他有他在，就是为我的生活添添加了很多色彩，我也是十分开心，能交到这样的朋友。刚来到初中的时候，我还好害怕，我会和以前一样，没有交到一种特别好的朋友。 怎么来了？呃，诉说自己不太开心的事，跟我朋友听。然后呢呃就是觉得伤心其实也没什么用。一阴谋的话，有时候会反正就特别特别就感觉自己特别开心。因为在换新的环境新鲜了嘛，嗯性格也变得开朗了，不说不少，只是有点跟以前的自己有点变化，有点大， 哇嗯，好像没有， 那个自从自从跟我朋友交交了，我那个好朋友，我就我就比较开朗一点。因为我以前说话就是比较小声很有点内向，然后因为一些小事就特别难过。然后呢，现在我也我的兴趣爱好就是唱歌，我我还会教我好朋友跳舞，然后呢讨厌。虽然学习感觉没有以前好了，但是呢就感觉学觉得很有很有劲，就感觉很开心，不能用啊，但是有一些心理的秘密，我也会跟我好朋友讲，以前的话我没有特别要好的朋友在学校就是有点像一个小透明吧，抹掉了。我好老是会因为一些事情阴谋啊。 我会觉得很开心、很兴奋，就觉得一切都很有趣，认识了新的朋友，还有我一个很要好的。哎，就是有有交了一个很要好的朋友，还有看到以前的同学，我都会跟他们打招呼，就感觉生活的特别惬意，特别轻松。然后呢就很好奇，明天又要去做什么好奇。每天的每周一哥吃什么饭要吃的饭也挺多的。说实话，然后呢有点不太好的，就是啊自己有点有点微，有点胖，然后呢邋有点邋遢。但是呢我感觉我自己有点活力，一种开开心心的感觉，就是感觉上学很开心。 就是我感觉我自己成绩没有以前好了，然后就是怎么说呢？感觉自己像个调皮蛋一样。嗯，然后感觉老师说的话，我自己都没有放在心上，就是非常差，生活方面也是很邋遢的一个人。 我目前有一个比较要好的朋友，他的名字哦，他姓江。然后呢我和他就是我们会把自己的悄悄话都告诉对方。然后呢，还有自己就是对某些事感兴趣呀，喜欢什么课呀？还有一些小秘密，就是就是跟他聊的很好，还有很多共同话题。我们经常在一张床上讲话，。我们两个感觉很像的两个人，反正就是跟他说话的时候很开心，他现在就坐我旁边。 我会通过跑步或者是听音乐画画等等，就是来缓解我自己不太开心的那些心理，就或者自我安慰。比如说想想自己的优点呢，然后还想想自己开心的事情，如果实在想哭的话，你可以哭出来。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_926/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有没有。 非常开心。 我喜欢打游戏 然后最有意义就是睡了很久 有，最近要背书了哦。 他为我认为嗯我会呃，运动。 非常的不错， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_929/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我其实也是非常容易哭的，但是的话就是怎么说，我其实就是那种难过后也会非常快恢复回来的人。嗯，大概秘诀就是我经常和朋友聊天分散注意力吧。我觉得我朋友对我都很好，嗯，可能就是我对平常那些事情也不是在意傻里傻气的活着。呃，我其实我觉得我现在生活挺好的，但是那些难过是避免不了的嘛。嗯，想开一点吧，挺好的，其实哈哈秘诀秘诀秘诀，我不告诉你。 我最要好的朋友是我seven六六里面的豹子轩、黄诗涵、蔡蕊林、廖、西晨轩。然后我们发现这确实就是大家一起发疯嘛，大概是这样子，然后最近和宿舍的人处的也挺不错的。然后呢，和我们班同学玩的也挺好的，呃，好吧 我比较喜欢和朋友聊天或者呃涂涂写写一些东西，不然就在那儿在这想我也不知道想什么事情，反正就是和朋友聊天的话会更多一点吧。 最近的感受大概是我想吃无骨鸡爪，呃，还有就是能不能让那个宿管不要查我们口袋呀？呃，然后呢，就是那个宿管天天大半夜在那叫烦死了，让那个宿管少叫一点，好不好啊？ 呃，可能是因为就是七呃，小学转入期初中的话，他有七门门课可可能受受不了吧吧，也突然离开家那么久也接受受了。嗯，可能是小学太过于轻松了吧，就感觉小学生活挺好的。我觉得其实初中也不错吧，觉得吃完饭去操场散步挺好的。其实但是我真的好想吃无骨鸡爪，能不能学校安排一个下午茶，求求了，拜托了，我想吃 能不能给我一百万。然后我我我我想吃无骨鸡爪，我想吃无骨鸡爪，不想住校，我想回家，我真的好想吃无骨鸡爪，请你给学校立马放学，谢谢。 几乎每天我要死了，我想吃无骨鸡爪。 我好想吃无骨鸡爪，能不能学校安排个下午茶，还就就是那个宿管能不能早点起，不要再赖床了。然后那学校的饭菜太难吃了，下次把厨子都换一下好吗？然后那个洗澡水热热水老是断断停停的，我真服了，直接给我坐下 这种状态给我的生活带来了，我更想吃无骨鸡爪了，连我的学习带来了，我好困哪越睡越困，能不能那个宿管别叫了，我要投诉六楼宿管，太吵了他。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_932/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我喜欢下课去打羽毛球，在体育课的自由活动里打打篮球。 嗯，呃有一个前跟我玩的很好，上下学都是跟我一起去吃饭。然后下课的时候我会跟他去一起玩，还有很多，但是他们不是跟我很亲近。 呃，作业的问题没有时间，没有空去写完，然后呢，被别人冤枉的时候，就是心里不太好受吧。 呃，看看周围的绿色植物能让心情变好，然后然后呢让自己尽量去保持快乐的心情，不要呃不要每天沮丧会呃，让别人嗯呃然后多看点植物，然后做一些自己喜欢的事情。 在宿舍里面可能在宿舍里就是呃很少很难融入到进去。呃，然后在班里面有也不是很融得进去的那种。 自我安慰，让让让让自己有足够的信心 呃嗯在在课上可能会听不懂一些问题，然后呢，老师很快就过了，我也没有时间去呃去问问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_942/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "经常吵架。 感觉学习成绩退步了很多，就感到非常的焦虑。好好像很多题都不太会。 学习成绩退步感到非常的焦虑。 感觉学习成绩退步了挺多的，然后生活活上也因为这个感到不是很开心。 几乎每天都有。 学习不稳定，家庭家庭情况有些复杂。 比较焦虑。 画画，然后听一会儿歌。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_947/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "中午时候尽量早点睡觉，然后平时看看书，周末的话可以听听音乐。 并没有。 是的，就主要看同学的态度。 开心或平静，但主要是开心。 写作业或看书。 老师对我们都很好，然后同学也很好，同学经常会教一些题目。 和同学写作业看书看搞完作业之后，就去一起爬观音山啊，爬观音山。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_948/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，受不得行，还不可以骑跳过的，没有秘诀，保持的话，保持的话呃，出去玩吧。 呃，学不下去啊，不想学学不下去。 呃，出去玩呃，不想分享给你。 无聊宁静卢沟桥位于北京。 作业减少一点，不要天天上课读书，那些书读的没什么用，我感觉。 没有哦，没有别叫我诚心。 呃听歌睡觉，听歌睡觉这个上面。 北京呃，打篮球，打羽毛球看美女。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_952/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃我觉得还好吧，因为我喜我开心的时候也挺开心的，不开心的时候也挺不开心的，就是情绪也不是特别的稳定吧。学习和生活都算是比较正常吧。我平时就是这样的生活。 我喜欢玩儿王者荣耀刷抖音，然后然后看一下漫画吧。空余时间我不是很想学习就对了。 呃啊就是考历史历史写不好，数学数学不会写作业，作业收不完，说一堆作业说三节课根本没有下课，我真的是服了。然后呃然后然后这个前桌又有点烦，好在换了他，但是他今天请假了，哎呦，我天哪压抑又想像嗯就是什么各种各样的一堆作业。然后每天又要上课，就是很很烦，然后睡觉又晚上不想睡，早上不想起。 在呃大概每天都会有一些小事吧，就是让人感觉到很烦，然后收作业也也一直在收，根本就没有办法下课，而且还收不完晚安。 呃，我不是很想说，因为我觉得不开心的事情很琐碎，而且几乎都是小事。然后有一些也记不起来了。最近呃是一个听力没有写好，然后还输给了我们班。另外一个同学那个同学他还跟我一起玩游戏，然后那个玩游戏，他然后我们也输了，然后还有考试也没有说考特别好，然后历史做的很好，非常细心的一张卷儿做了六十分。 哦，我有一个挺好的朋友，他就坐我旁边儿那个人叫黄雨桐，然后然后然后我们国庆就是一起玩儿，然后莫名其妙的就是想到很多很好笑的事情。呃，呃呃，就是这样吧。 因为我虽然特别容易受到负面情绪影响，但是我我忘的快，我记性不是特别好。有的时候呃就是不会特别的计较吧，就想发生都发生了，就改变，就差不多就可以了。 嗯，是嗯就是一直会担心，就是出门就会担心有什么东西忘记关灯关空调。然后然后每次出发去学校前，就会担心自己有什么东西带了那个忘带了像校卡呀什么带回来的作业，什么忘带的，然后作业会不会写完，然后每天都很很烦，也没有说每天都很烦吧，也有开心的时候，然后睡也是睡不着，差不多吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_957/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "周末的话，其实课也排的挺满的，不过我挺适应这种学习状态的，我觉得可以接受。然后这样也会让我学习呃呃周末生活更加丰富吧，然后学习也学习的效率也提上来了。 没，呃，听音乐吧？ 给自己定下一些目标 平静吧，就是呃也没有什么特殊的一些事件，呃，这个是就是顺其自然吧，加油。 画画看书听歌 呃，没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_958/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没啥事。 好朋友的慰藉 两三个吧，很好，经常在一起玩 大汗淋淋的来一场运动，或者与三两好友结伴而玩，或者自己呆在家里面玩手机吧。 成绩的退步。 玩手机 没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_964/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "正常早上买完早餐后去我妈办公室写作业，基本没有什么有趣有意义的周末。 并没有 很正常。 适当睡一觉。 平静正常。 以正常的心态面对生活，以平常的心态面对生活 打篮球吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_965/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我觉得这种东西可能是要呃还行吧，就是啊挺挺好的。 这个没有哎。 描述呃，我觉得最近的生活状态还就是挺如人意的，然后没有什么多大的改变吧。 呃，我最好的朋友可能不多，但是普通的朋友还是挺多的，就是我和我最好的朋友是从小一起长到大，然后也是比较亲密无间的有趣的事情，就是好像没有什么有趣的事情。 我觉得让我有点分心吧。 空余时间我喜欢呃一个人多多待在安静的地方吧。我觉得那样会使我的心情舒畅 不愉快的事情这倒没有，但是就是感觉呃自己想安静一点，在那种环境里吧。 呃，就是可能是因为不适应这种住宿生活吧。但是和别人相处的还是挺快的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_986/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "朋友就是解药嗯。 和同学说话嗯或者看书什么的吧，写作业。 开心嗯比较自由。 有很多好朋友就是经常在一起说话，一起吃饭，然后在宿舍也有时候会打闹讲，然后讲一些八卦什么的，呃，他们很开心啊。 没有呀。 嗯，就是有时候就是看不懂题目，然后就是有时候看不懂题目，然后在家里呢就是经常被误会什么的，就是本来就没有做那些事情，但是呢家长还是会说你做了这个事情，而且他们并不会承认这这个错误。 嗯，跟同学诉说一下，然后和家长说或者和老师说，然后睡个好觉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_994/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "还行，会听歌放松，找同学诉苦。 和同学待在一起就非常开心，充满了活力。对，生活有了希望，有时数学考好了或者别的科目进步了，也觉得充满了希望和活力。\n 做自己喜欢做的事情，和同学一起去图书馆一起打游戏，或者帮忙做家务。 暂时没有。 平静无聊，有时开心。 每天早上起床去食堂吃饭，去教室学习结束一天的学习，又回到了宿舍。 最重要的朋友有很多，我们周末一起学习，一起打游戏，一起去图书馆去外街上逛街散步 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_997/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我最好的朋友就一个比较要好一点的，比较熟悉的朋友，然后我每天都会跟他放学，跟他怎么样都会在一起，就算是上厕所都会在一起。然后有时候会聊一些非常有趣的事情，或或者是去八卦一下某些人，然后我们两个也会经常去聊一些学习的问题。然后我们两个互相帮助。 在空余时间，我喜欢去画一些小漫画，然后去跟我的好朋友聊天。 最近呃我在这个班级里面的存在感本来就不是很高，然后成绩也不算很拔尖的。然后在宿舍里面的存在感也不高，很容易被被别人排挤，或者是嫌弃。 大概是在前一周吧，前一周有发生这样的状况。 我的数学成绩一直都不太好。然后每次学习数学的时候，都会有心理压力，很难学好这个科目，分数也很难提上来。 其实也没有什么秘诀，就是要在学习生活中要再呃开朗一些，不要遇到一点小挫折就去做半途而废或者去做放弃的一些动作，然后也在生活中也不要太过于沮丧，也要对生活抱有一种希望。 在这段时间我感觉到我的宿舍里有人排挤我，然后我的成绩又不是很好，在这个班级里又是比较透明的人，所以我感觉在这个班级里的存在感不是很高，我觉得有点不太舒服。 这在我的宿舍生活里面有很多担忧，有时候去上个厕所都会看到厕所里面有人就不敢去打招呼嗯。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1004/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "就是比较平静吧，也祝福他们有点。 平静。 嗯，和舍友或朋友聊八卦或者聊天。 没有什么秘诀吧。 说来话长。 嗯，好好像没有吧。 做开心的事情，跟他说，请那个。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1008/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "最近不知道，就就是说呢最近老是在想事情嗯算是比较平静和无聊吧。 在空余时间，我喜欢写小说，看看书，一个人在操场，一个人走一走。 我最有意义的周末呢嗯就是和朋友一起出去玩吧。嗯，然后呢去然后跟同学在家里玩一下游戏，等 应该没有吧，我觉得同学呢同学状态都挺好的， 嗯无聊的时候就写写小说就可以，这样子缓解一下。我想然后去看一些人 嗯我觉得还好吧，就是没有没有特别的不不行，其实正常学习跟普通人的差不多，没什么问题。 可以寻找老师，跟老师说一下，或者去跟同学一起分析一下， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1011/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，这好像不清楚这个可能呃不清楚吧。举例子兴趣爱好，就是就我也不知，我也不能具体说是什么事吧。因为我不想说，就是就做那件事的时候，就会感觉到就是没有之前效率这么好，就没有之前做的这么好，呃，会比之前做的糟糕一点，就是没没有之前平常做的那么好，就有负面情绪之后之前就是这样，呃，现在也好像也是这样子，没有变化，没有变化。 十分帅帅到我不能自拔了，真高兴你没有这种困扰，请你回请。我想请你回忆一下，你身边是否有主演。呃，这个我不知道啊，嗯因为大家都在复习嘛，就就是就是有就是也也也不知道别的同学的情况，因为别人也没有很很明显的表现在外面，表现在他们的表情上面，所以就看不出来，大家都好像都很正常。呃，我现暂时呃，暂时没有发现有这样子。 呃，我也不知道，谁知道啊，没秘诀，没秘诀，下一题，下一。 不贵呀，一般都是呃呃磁盘式家电也是比较正常的嘛。然后周末的话嗯，一般要不就是在写作业，要不就是在打游戏，因为就就将近才一呃一一个一个真星期五的晚上都九点多回去嘛嘛，好像就一天半的时间，一天半的时间的话也不知道去哪里玩，也不知道去干嘛，反正就是在家里一般这一般都是在家里面玩游戏，然后放玩游戏，然后写一下作业，拍下电视和我呃和我和我弟弟聊聊天，然后那些人第二排了，然后可能还可能会和同学聊一下吧。然后呃找同学一起打游戏，一般都是这些，因为周末时间比较短嘛，也不知道出去干嘛。呃，外面的话，外面的话呃外面周边的朋友的话，要不都不下，要不都不出来玩，要不都不出来玩，要不就是在家玩，所以基本都没怎么下去玩的。呃，可能以前会有吧，现在应该都没有，现在都在窝在家里面玩了，基本都没有下去了，一般都在家打游戏呀，都在打游戏。 呃，如果一般都会让时间去过渡，因为自己也没有那么多心情和呃，就也没有那么多时间和心情去想这些就是让时间自己慢慢自己慢慢把它渡过去吧。然后然后过了可能就过过个过一过个几天时间，然后就过了一段时间，就好像就没有这样的情绪了。呃，要缓解的话，没有解决，呃，也没有这样也没有怎么解决，有没有采取方法来缓解过，但就是让时间慢慢把它带过去就对了。 呃，呃，这几个情绪一般都是循循环的吧，有时候无聊，有时候平静，有时候开心，就是一般这三个星期一般都这三个星期变化。虽然有时候会有，有时候可能会就有点忧虑，或者是或是深，或者是其他那些负面情绪吧，但负面情绪比较少，一般都是平静。 呃大概就是大概就是就是因为最近要月考，然后月考，然后就是怕自己有些地方会考的比较差吧。因为因为是初初三，第一次月考嘛，呃初三第一次月考就比较紧张。然后在家里面的话，就是父母就是觉得我学习学习态度不是很好，就老是催促我去那里学习。我说我觉得我觉得我自己也能安排好时间。呃，还有的话，爸妈的 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1020/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我一般周末都要干什么呢？一般呢我会花十个小时学习，我会学到吐一，然后呢再花十个小时去运动，再花八个小时去睡觉。这个，非常的有趣啊，在学习的途中，我可以遇到非常有趣的事。就比如说什么呢？我反正就非常有趣，运动的时候，我也会发生非常有趣的事。就比如说踢球呢，我踢到别人了，这也是非常一个有趣的事情，非常的好玩，非常的有意义。我觉得这个周末非常是一个非常自律的一个周末。我也觉得我这个人比较自律，谢谢。 最近我的学习非常的好，我是全班第一期中考试，我是全年级第一。屁，我才是懂吗？我的学习也是非常的好，懂吗？兄弟，然后呢，我的生活也是非常的状态的，他的是状态是非常的不错，懂吗？因为为什么呢？因为我经常懂吗？就是会去运动，还有去学习，你懂吗？就非常的牛，就非常的厉害，懂吗？我上课非常的积极，而我下课也非常的安静内向。我是一个内向的孩子，懂吗？ 没有哦，老铁。 多读书，多看报，少吃零食，多睡觉。呃，然后呢嗯就是嗯多学习，多锻炼。 我喜欢学习，我喜欢运动。 平静，开心无聊。 我呢我会我会通过玩游戏来自我缓解，因为呢这个是个非常好的办法，你懂吗？就是因为玩游戏它是个非常好的办法，因为玩游戏能够恢复我们的一个状态，或者说我们可以冲个冷水澡，也是非常的厉害的一个冷水澡。那么或者说运动运动也是非常能缓解我们的情绪。好，你玩游戏更是最好了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1038/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "跟朋友聊天，然后有时候还讨论一些题目。 呃，都有吧，我觉得应该是开心。 咋不会呃，我会跟朋友吐槽，然后跟父母讲。 嗯呃有两个呃，我们经常一起吃饭，然后一起玩游戏，好像也没有什么有趣的嗯。 呃，跟朋友聊天吐槽一些事情就是。 呃，想走开呃，学习成绩不是很理想，呃，不是很想搞人际关系嗯，没了。 有吧有一些我也不清楚。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1056/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "他们都叫我外号。 看书玩游戏，出去走。 无聊。 我最要好的朋友有膨震黄培根，我们一起玩，一起交换家长送来的食物吃。 没观察，没留意。 我们要深呼吸，做作业，出去走走。 我成绩不好。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1069/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "常有吧。我操。 呃，不知道可能是我比较乐观吧嗯。 断我我也两个，我都喜欢打篮球开挖掘机。 有三个刘冰，小矮子，深秋裤、小黑棍。 和朋友打打篮球，听听歌。 不可以么。学习压力比较大。 迷茫。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1073/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "很随心所欲，他经常我爸经常问我在学校有没有什么不好？ 不要，一些难过的事情，不要放在心上。 没有，都挺乐观。 呃，就是最近作业有点多 平静 让我让我更加独立。 要考试了，有点紧张。 和朋友聊聊天。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1077/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "找同学或者老师倾诉。 开心，我十分的开心，。 我的周末除了玩手机，就是写作业。 没有没有 以前我特别喜欢打游戏，但现在我不喜欢了， 嗯，不知道我看自己的心态。 呃挺不错的啊，挺不错，非常不错。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1089/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "会通过呃培养兴趣爱好来转移注意力，然后会寻找他人诉说一下烦恼。 嗯，应该没有吧 呃，学习和和之前的画画，这些兴趣爱好之前是我是比较喜欢经经常喜欢画画，但是现在心情不好，所以现在就很少会画。 呃，给自己定的目标或者是给生活找一些盼头，让自己对生活有所期待。 希望以后的学习能能让能以后的学习能更好。我的成绩能够更好啊，那我考上一所好的高中。 中考第一次月考没考好怕你也怕中考的时候怕中考的时候考不好，然后考不上好的高中。 呃，我和家人的相处很和睦，一般都是像像朋友一样，就是自然的交流，没有什么沟壑，没有什么拘束的，很就是非常的啊非常自然。 月考没考好，考的太差了，他都快碎了，抱抱他了。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1090/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "之前没有过多暴露自己的时候，我可以做自己喜欢的事情。但且现在做一些事情都要考虑一下别人的感受，这让我感觉很累。 中午和晚上回宿舍的时候，可能会被我们宿舍人嘲笑一些身体状况什么的 因为性取向的问题，常常被人嘲笑呃 一位叫做阿散的人，他会给我一些希望，并每次到游戏打开他的时候都能看到他，我觉得很舒服。很安心。 呃，没几个就五到六个吧，有趣的故事没有什么，主要是他们会在一些过定的情况给我一些好的帮助啊，我现在玩的。 睡觉或者是写些小作文，看看书什么的，我没有。 学习上的问题，还有自己生活上有一些大问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1094/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "不可以，不可以，不可以，他说可以给我指答，我说不可以，不可以啊，别跟了 说人长太，我们有一个说人长太丑了，他很自卑。所以说他就有这种状态，知道吗？老师，依娜老师 我会，我会骂一下原始，我会骂一下原始人，只要骂了他，我就感觉全身都缓解了，知道吧？老师 我，我有一个朋友，他叫邓世文，他他他他他很敏感，只要说他月亮，他就很敏感，所以说我很讨厌他，现在跟他绝交了，因为说他太像月亮了 只要打原神，就能变得有活力，有希望，知道吧？呃，秘诀就是今天打原神，就可以锻炼肌肉，那就让我身心身心健康，感觉畅快无比。 呃，我喜欢打篮球，还喜欢打原神，原神启动。 想打原神，想把原神打死。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1099/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，最近呢有月考，我就会担心自己考不好，然后一直因为成绩在焦虑。 我平时喜欢唱一会儿歌儿画一会儿画或者刷一会儿视频，有的时候还会呃看自己喜欢的书。 有的时候平静，有的时候是跌宕起伏的，就一会儿开心，一会儿焦虑这种感觉。 嗯，比如出去散步，然后然后听听歌或者画，一会儿画，或者找自己熟悉的人交流。 呃有一小部分，但是没有太过于焦虑。 我最要好的朋友有差不多三四个，我喜欢跟他们分享一些日常生活的有趣事情。嗯，比如去外面玩你就像是逛街野餐之类的 其实没有什么秘诀，就是要保持一种乐观的心态，不要被眼前的困难所打倒，学会自力更生。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1105/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，就是考试考的不好吧，然后跟家人沟通不好，然后还有还有去跟家长沟通不好，然后就是挺那个的吧，就是嗯考试真的特别的有压力，然后每天晚上都要熬夜到很久，然后嗯嗯就 就是之前就是经常的呃就那个舞蹈课兴趣班。然后之前就是嗯嗯就是之前学习压力不大嘛，然后又很少的课程，然后我还是比较愿意抽出时间去跳。但是现在就是感觉作业很多，然后没有什什么东西都没学好，然后就是特别的那个，然后还有嗯嗯然后之前就是有一个我兴趣班有个好朋友，然后他们现现在他们走了，然后我现在不知道我跟谁玩，然后就感觉舞蹈课没有什么意思。 嗯，可能就会感觉到特别的焦虑，不开心吧，毕竟嗯这件事情都感觉很很很难缓解。然后就感觉嗯你嗯就是嗯可能会联系一下生活吧，毕竟就是总是好不容易休息一下，就想到这些事情就感觉特别累，然后就特别的就感觉没有一点休息时间，然后就感觉每个人都不喜欢我的样子，就感觉特别的特别的是嗯那个嗯然后嗯 我觉得嗯发生的频率感觉就是呃有好事就有坏事吧。然后就是可能知道自己马上要经历坏事了，就感觉会真的特别的担心，我不确定。然后就是就可能就成绩最多吧，就成绩一说到成绩就感觉特别的紧张，就很怕很怕自己考的不好，然后就经历了很多事情，然后我觉得频率还挺多的吧。因为这个次好像就是考了一次月考，然后我还想就想起以后还要考很多考试，我就会感觉很紧张。然后这一次考完月考，我就感觉发发试卷，然后就很快的对答案，然后就感觉真的特别的有压力，就是对答案的时候就很怕，大家都考的很厉害，就自己考的很差。然后周末应该频率发生最大吧，毕竟跟父母，然后有那个，然后还有在学校的话，就跟同学还可以开心的玩，然后但时就是学习压力太大了。然后还要考试，这就是我最大的困扰，然后就是真的很多很多事情感觉堆在一起。 我，我觉得就是嗯父母之间可能就是有一点冷漠。然后呢，可能我还有一些呃同学之间吧，而且之前好像也遭受过一些语言霸凌，然后就是特别的。嗯，然后像跟朋友相处特别的小心翼翼，然后跟父母之间就感觉有一点代沟。然后如果做错什么，就是特别的那个，反正就是嗯反正就是呃然后学习呢就是很多压力，就是真的很担心学业啊，就感觉真的学习的太多了，就感觉很累，人很累很累。就是怎么说，然后然后周末的时候可能别的孩子还要上补习班，然后我不用上，但是我挺开心的，但是嗯但是但是我还要上三个小时的跳舞课，感觉有一点点难受，就是感觉不好。然后和父母呢，就是可能就是时代太有太狗了，然后就什么都什么都聊不起来。然后然后跟父母说喜欢的事情，父母就看就就就反正就不理我的样子，就是一直看着手机，然后总说然后我跟他们反映了这些事情，然后他们就是总觉得就是他们就找各种理由说，反正就是然后就是我们吵架的时候，他们就是根本就没有好好沟通，就是跟我就是沟通的不太好，然后我就情绪会有点崩溃，就是情绪会很崩溃，反正就是嗯就容易激动嘛。然后就很那个 我觉得我就是就是考试的时候，可能就心的心里很慌，然后就是感觉好像什么都播出来了，就感觉这个心就已经跳出来了，就感觉什么都。然后还有还有就是一天要做很多事情，因为我比较自律嘛，然后就很怕，就一些事情，事情都没有做到，就很怕，没做到，就心里就特别的感觉很烦很慌。然后就很那个，然后还有应该没了吧。 我觉得就是可能我没有跟别人说过这件事，就是我有一些情感问题，可能在我们这种中学生中不会遇到吧，但是我就是特别的焦虑，嗯，就是特别的焦虑。还有之前就是没没想到我跟家人之间的一些事就会感觉到特别的压抑，而且很少的出去玩，就是很少的放松，然后就是特别的难过，而且还有学习就是考的不太好嗯。 我觉得嗯我有很多个好朋友，反正就是嗯毕竟我们女生有很多个小小小小小团体，然后就是有什么事情，就是会跟他们一起讲，就很开心，就会很很就大家一起笑嘛。然后有几个其实挺多的吧，就是我不太想多得罪别人，然后就是可能尽量就每个人都成为好朋友，就是不成为好朋友的话，也不要有太多瓜葛，就是不要说别人或者什么不要乱评价，我觉得大家都是我挺好的朋友，但是最要好的应该有全班一半吧。其实真的很开心，就是讲的那些就是特别的开心， \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1108/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "应该没有。 打打羽毛球聊一下天。 开心吧。 呃，我觉得初中非常的好玩，然后让我体会到了生活。 呃，我会找心理老师了解一下。 天天快乐的学习。 我的周末是这样的，星期六就玩一下，然后写一下作业，星期天早上把作业写完，下午去上篮球课，然后晚上吃完饭就过来学校。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1112/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "打球。 好吧，无聊，无聊，无聊无聊。 发点啊没有有有有黄。 学习，我给你开两副中药盒 秘诀，没有秘诀  玩手机 没事，可以 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1120/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "嗯，呃也也没啥吧，就是怕自己学不好，考不到理想的高中。 向前看，世界是总有好的事情会发生这些糟糕的事情就慢慢解决，好的，肯定比比多的多嘛。好的呸坏的肯定比多的好好多嘛。 嗯就是有时候学，有些地方他是学不懂，然后呢和朋友，然后和朋友还闹了一些小矛盾，现在跟他的关系很僵持。 可以去找生物，找心理老师帮我缓解，也可以和同学分享。 我们以前是刚在军训的时候就认识的，然后呢后面玩的就很好了。但是现在可能是不在一个班吧，就受到了很多呃阻碍，然后跟他不是很好了，但是我还是很想可他重归于好。嗯 我周末星期六早上早上都上课，星期六早上上美术课上三个小时，上到十一点哦，上到十二点，然后回家吃饭，下午要上其他的课要上古筝课，古筝课上完之后就没什么事了，但是我会选择写作业和别的东西。星期天早上我也是有美术课要上的。 没有吧，我的朋友都挺正常的。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1122/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我会走到外面放松放松。 劳逸结合 嗯，有两个，我们经常一块儿去吃饭，一起去玩耍 平静。 看看书出去走走路。 没有 学习有一些跟不上作业写不完。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1127/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有。 聊天。聊八卦，讨论家常。 呃，这。我有一个新同桌，他叫做刘家红，然后呢，今天才跟他当上同桌，他特别安静。 很平静，嗯，很无聊，每一天的学习很无聊，好朋友们都去。 没有。 你看起来好鬼呀，有五个台，五个台那个看还更像你看那个屏幕黄了，修复原后的石桥桥长两公。 我直接点呃，倾诉。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1141/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "原本与朋友相处，以前很融洽，现在不怎么样。 无聊。 去野营感受大自然的美好。 为了学好为了学为了学好科目，各个科目的学习没用，我是卢星。 尝试接纳，尝试接纳和改变。 我不知道，应该没有。 每天，认真干好每天应该该做的事情。学习、学习、学习吃饭等。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1149/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "我的朋友没有处于这种状态。 我的周末呃早上起床吃早餐，中午吃晚吃午餐，晚上吃晚餐，然后还会看一会儿电视，然后还会看书，然后也会写作业。然后呢，我妈妈会给我买好吃的，然后我还会跟我的好朋友一起聊天，分享趣事。 我喜欢看电视，跟同学聊天，然后写作业，还有玩电脑。 呃，我会用开心或者嗯有一点小无聊，但是还可以就是这么说吧，开心或者还可以。 如果我遇到了这种情况，我会找朋友诉说，然后去买好吃的。 我呃就是可以去吃零食，还有去看书，没有什么秘诀，自己开心就好。 呃，最近呃，跟朋友出去玩呃，非常的开心，呃，也有认真学习。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1159/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，要一直保持活力的话，就可以在空余时间多做自己喜欢做的事，做自己的爱好，保持希望的话，就要相信自己觉得什么事都是有可能发生的，也有可能改变，不能有那种摆烂的心态。秘诀的话嗯，就是呃是自我就是自我强，呃，就是自我说服吧，自我说服哦，就比如怎么会就比如呃拿我的一个科目来说，就是生物生物这一科他成绩挺好的。然后我觉得我也可以做得到，我不相信他是开挂的。然后嗯相信自己，相信自己，然后就有希望保持还还能保持活力，亲呃可以让你学习成绩更好。 在空余时间的话，我喜欢看看书，做一做手账。然后嗯另然后看一下习题，还喜欢吃一些自己喜欢吃的零食，望着天空，还有对面的房区发呆。 嗯，如果有遇到这些情况的话，我会及时联系父母老师，然后让他们帮我开通一下，那或者是吃自己喜欢的东西来缓解难受，做自己喜欢做的事情，还有缓解压力。 嗯，如果要论要好的朋友的话，我这么说来是没有的，没有几个在我们班上特别要好的那种朋友，几乎应该是嗯现在目前来说是没有的，我经常独来独往。嗯，有呃以前是有过有要好的朋友的跟他，因为他经常发生矛盾，在六年级的时候，嗯，我跟我最好的闺蜜，因为一次一次事情，然后嗯然后跟他闹矛盾，现在也没有什么很要好的朋友。以前的朋友几乎没联系，现在这班上的朋友也没有，到时候问题也没有，也没有怎么接触我。以前如果要说有趣的事的话，那我就是拿我六年级的来说，六年级我跟我的呃要好的朋友一呃嗯呃玩的很开心，经常一起吃饭，周末一起出去玩，特别有趣。 嗯，我觉得学习压力没有那么大，而且呃爸爸妈妈都很关心，我老师学生也很关心我鼓励我，然后我觉得过得挺开心的，压力并不是那么大。 呃，我我觉得的话应该是有的，但是但是嗯很但是很小 我感觉我的学习明明挺努力的上课，认真听作业，认真写认真写出来的作业却错的挺多，挺离谱，认真上课。但是上完课之后，也问了许多知识，我认真背书。但是背了又没有他考的好。老是又遇到不会的题目，而且而且在同学和那同学关系也不是很融洽，感觉很多事情很多人都与我作对，感到心情有点压抑，有点小小的难过。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1161/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "早上起床，中午睡觉，晚上吃饭，然后睡觉。 嗯，可以闭上眼睡觉。 难受就睡觉，睡醒来了，什么都会好起来。 肯定没有 嗯，这个呃周末早上睡到中午，中午吃完饭，下午骑单车跟朋九出去玩去一些好玩的地方，比如天一层天河什么的地方，然后下午回家，早完写作业，写完写完写完作业，学习，学完习后睡觉，然后快乐的平肤结束了，到明天也一样。 开心开心，开心极了。开心开心极了。 喜欢找朋友玩，喜欢骑单车可以。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1164/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "开心无聊。 没有。 呃，害怕回答问题呃，也怕回答错误。 呃，上午写作业。下午与同学们出去打篮球，最有意义的是是可以跟同学们一起出去玩，很开心，很快乐。 呃嗯呃，对呃，生活非常开心。 学习状态发展的问题，生活没有太大影响。 玩打游戏，抓少萝。 呃，无聊的时候多打打游戏。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1179/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "无聊。 我会适度休息，听音乐，还有散步。 身边总是有人打扰我，做我不想做的事情，这样的让我很厌烦。 我喜欢刷视频、打游戏、看漫画或者画画。 没有。 只有两个，我跟他们一起发生了很多有趣的事情。比如我们每次放学都会一起去买吃的，都会一起分享吃的，而且还会一起出去买东西， 呃，感感觉状态良好，但是学习有压力。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1180/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "我想我的院子，然后是我想长高，但是我都干不到，我想我的成绩都变好，但是我发现我上课都听不懂，而且我的学习也一塌糊涂，我每天都下课都不走，我坐在座位上面写作业，每天早早就把作业赶完了，就想着挤点时间出来复习。但是每一次复习都都跟一泡狗屎一样，我也不知道我要复习什么，我背书记忆力太差了，我也背不下去。然后我我复习预习那些也跟一泡狗屎一样，反正我可能学习方法还没找到，我找这么久了，我服了。 我觉得影响到了我的学习。其实我但是我觉得我这种脾气对受对学习也没什么影响，就是哎算了也有影响。我本哎呀，算了，习惯了，就是背着背着书，背烦了，又不想背了，生活倒是没有太大影响，就影响到我学习了。哎呀，反正就很烦。 呃，很烦，我也不知道烦什么，反正就是也烦。呃，就是每一科都好难，我不知道要学还是不学，我学那么努力，然后还没有人家牛逼，我不学又很愧疚，又觉得这个不太好。呃，体育每天跑步烦死了，晨跑，每天早上跑跑四圈，王博士跑两圈，好多跑步的我腿要断了，截肢。比较容易生气。我现在急性子。 呃，有时候吧。嗯也不长，就是不长，哎呀，有几天哎，反正就是有几天。 政治好难，历史好难，地理也好难，语文好难，英语也好难，数学也好难。语数英政治生物物理也好难。我报了补习班，九十一没报补习班的九十四，我报的跟没报一样，好烦都很好烦，全都很烦，作业好多，每天都写不完，我也不知道怎么复习，也不知道怎么背书，词政治好多好烦，既有谁男的也好烦。 好烦。哎，反正我也不知道有什么不愉快的，反正就是每天都有几件不愉快的事情吧。哎，不过一回就没事了。 我不知道我有几个最要好的朋友，但是我知道的是跟我玩的好的都在别的学校，有趣的故事的话，我也不知道，反正每天就是笑，他们能跟我玩到一起，都是笑点挺低的，要么就是脑回路都很新奇，跟我玩到一起的都都挺有事儿的感觉，他们都不太正常，我也不太正常，就是挺好玩的，我挺喜欢我的朋友。但是最要好的朋友呢，其实我自己说也说不出来，我也不知道到底是谁跟我要好。单方面的话，我能知道的应该不超过五个。哎呀，我也不知道别人是对我，就我在他心里是不是好朋友吧。 我喜欢画画，然后聊天，聊八卦，发泄，然后，然后聊一些我喜欢的东西，然后干一些我自己喜欢的事情。啊，对。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1187/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呜呼真的太棒了啊，当然呢，体育课呢有点累啊 维护网络游戏从我做起。 哇哦，玩元神，元神启动。 元神启动玩原神。 玩玩手机，玩玩手机，做做作业，出去玩真不错 开心，起飞了 没有绝对没有，绝对没有。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1195/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "身体好，每天都有盼头。 比如说我爸妈，然后我舅舅这个月也走了，然后我家发生了很重大的变故，我上了中学压力也挺大的，有一次还在宿舍里面哭了 来到初中宿舍以后，我交到了几个十分要好的朋友，他们每天早上都会陪我去吃早餐，晚饭也是他们会嗯很高兴的跟我在一起玩，会愿意跟我分享自己的意志，所以跟他们相处是快乐的。 比如说画画 其实上了上学以后压力挺大的。你要是起早贪黑的去读书，你还要担心自己高中可能会考不上，考不上以后就有巨大的落差，与他人有了一大段的路，走不完这条路的。 暂时还没有 我会我会让自己放松下来，让自己不要那么心烦，气躁，放放平心态才是最重要的 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1197/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "对，确实很不错，没关系的啊，无所谓啊，嗯嗯嗯挺好的，挺好的。 我会要冷静一下，然后就不知道了。 没有哦，我喜欢我喜我喜欢，我喜欢找别人一起玩。 我记得之前也是朋友们一起去外面玩。然后跟他们玩，玩挺久吧，真的挺开心的吧，应该应该没什么吧，一般一般都是在家里玩手机。 作业太多了，但是虽然说作业很多，但是我还是写还是写完了，虽然上个星期为没把它站起来，但是虽然没什么关系，抄几句话就可以了。呃，怎么说吧，反正就是挺好的吧，没有什么困难的，还是挺开心的。因为那种反正这几天中午都在写作业啊，挺好的吧，就也挺好的。 没有没有没有没有。 我也不知道啊，反正，反正反正反正，没有什么秘诀，开心就好。 挺开心的吧，挺开心的吧。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1208/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "看一看书。 我会放松身心，或者向周围的人嗯，请教一下方法。完了完了。 我觉得呢是，会选择开心吧。 每天就是写一会儿作业压力也不是特别的大，还属于我能承受的范围之内，就是还挺不错的。 乐观开朗，不要沮丧，可以多找一些能让自己开心的事情去做。 没有的。 我一般会看看书写写作业，或者偶尔看一下电视。我认为最有趣的一次周末是那个。是北京地区县存的最古老的一座。去看了一个很有寓意的电影。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1228/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "呃，我一般呃会利用周六的时间来进行学习。然后下午呃一般会进行一段时间的运动，比如打篮球之类的，呃，周日的时候就会和家人一起出去。呃，外面呃例例如爬山或者逛商场之类的一些事情。呃，我觉得最有意义的周末就是我们全家一起去到呃去到某个景点，不是很记得，就我们一起在那里野餐过得非常快乐。我觉得那就是我最有意义的周末。 呃，有时候我会通过看电视来看电视，或者呃玩一些电子游戏来放松自己。但是更多的会去呃进行一些比较激烈的运动，然后让我自己能够在这种这种运动中感觉嗯就是呃能够保持这个活力和希望，这就是我的秘诀。 嗯，没有。 呃，比如说我现在开始认更加努力的复习了，就是因为以前呃有一次因为没有特别认真的复习而考的比较差的。现在自从我认真复习后，各方面的成绩都取得了进步，我觉得这是一种非常好的学习习惯。所以呃就是让我的这考试这件事情受到影响。 呃，我会呃向朋友或者是同学求助，呃，然后寻求他们的建议，让让自己呃，让自己的这种方法得到一些缓解，并且知道这种方法应该怎样解决，呃，并且能让自己更加呃就就是让自己可以好更好的解决这种方法。 呃，我觉得最近的生活学习状态不错的呃，因可能只是因为要考试了，有一些小小的紧小小的紧张，呃，没有别的太大的问题。 嗯，我觉得我的个人的心理还是非常的健康。因为我觉得我的各方面，比如说生活状态呃，生活习惯还有一些都比较良好，没有说什么类似自暴自弃或者什么的，然后呃对生活也充满了比较大的希望，然后希望我自己能够越来越好吧。 呃，开心，呃，兴奋，呃，比较呃比较活泼，但是也有一点点小小的紧张。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1230/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "玩玩游戏听听歌呀，看一下复习一下课文，然后还有画画呀。 他们任务真的很多，但是对我来说根本就没有压力，我早上就搞定好ok的。 我一般呢星期六上午呢，我会先做作业，然后呢星期六下午呢我就会去上画画课，然后上画画课画到大概四点多的时候，就会跟同学聊一下天，然后到到五点多的时候，就是家庭聚会。然后周日上午呢，我会在石节那边上课，然后下午就跟我爸看看电影啊，就回校。没啥有趣和有意义的，因为反正没啥都对。 可以微笑面对生活，然后呢把生活呢就当做当做每一天呢都是快快乐乐的，都是在玩的。 可以，画一下画呀，来聊聊天，然后呢，跟老师说说。 我会选择 自己的同学和朋友。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1233/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "没有。 准备要考试了，我是觉得自己考不好，时间不够用。 我会在周末好好的看自己啊呃就打开手机刷刷刷刷刷刷抖音，就就看一些自己想看的东西，就就看自己喜欢的那个明星，就会让自己心里很满足，就跟朋友聊聊天，然后就说说话就发发微信。 最近老是睡眠不够好，要不然明天早上对每次睡觉的时候都会半梦半醒的状态就就比闹钟先醒来，以为还有很久，然后就就准备睡，然后下一秒闹钟就醒了。 缘份才始 是的，上课犯困。 作业太多了没有。 跟同学聊聊天刷刷视频。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1245/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "学习上有很多同学帮助我在学校里有很多同学陪我一起玩， 仍然选择开心开心。 空余时间做运动，更加放松，还会去参加兴趣班太多了。 我会听音乐到户外走一走散一下，这样可以放松心情， 我会和朋友和同事们一起来聊一些开心话题， 我会参加一些课外可以学习更多的兴趣爱好，还会跟同学们一起出去玩，感受一下玩的乐趣。 我身边没有这样的朋友和同学 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1256/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "去运动。 宁静。 用一种乐观的心态去看待每一件事情。如果遇到了自己不是很愉快的事情，可以想一想，他有什么好处给你带来什么益利益处。 没有。 有很多个，其中有一个就是和我打篮球的时候，他和我一队，然后他投了好几个三不沾，我们就在那里开玩笑，一直在那玩耍。 打篮球。 平常好好学习，如果有压力就去打球，打篮球活动一下，释放一下压力，目前没有什么呃太大的压力问题。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "no anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1265/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "no_anxiety"}
{"problem": "然后然后还有人人意的想，我跟他约好了，到时候想到到时候长大之后一起去英国。好，那好，他说不要说，那我就不说了，那就换一个人吧。嗯，我认识一个人叫易某某算了算了算了算了呃，这么说吧，我现在很焦虑的就是直塞，但是呢这个比率在这个中国非常的低，所以我想要不要去国外找找我。嗯，呃然后还有我我我喜欢的那个人，我现在都不知道他是真人还是假人，可能自己精神病又犯了吧。然后嗯我我希望我爸妈多活，我妈多活几年，我爸撇了吧。呃，还有还有啥？我让我妈我妈长命百岁，我妈活的比我久，然后然后我想变成一个，我想变成世界首富，特别有钱，到时候我可以送一纸箱，几个那个什么来着？迈巴赫啊，什么呃，你在意我，你在乎我迈巴赫啊嗯嗯嗯叫还是什么来着？迪迪迪什么来着？我们啊再送他一些迪迦吧，男孩子都想迪迦在在，然后有房有车，然后就可以到处浪里个浪，浪里个浪，这是最爽的了啊。好啦，拜拜啦。呃时间到了啊，呃希望咱们能再遇哈啊，拜拜。 这么快啊，保持活力，希望有什么秘诀吗？没有秘诀，我之前很想嘎的，我去那天我甚至把我甚至把衣服都穿好了。我能这么说，说的叭叭不对，应该是换上了正常的着装。到时候如果跳下去嘎了，我至少还没收尸。我还把聊天记录图片视频全备忘录全清空了。结果呢结果到晚上的时候，被我妈呃被我妈用一碗面给俘获了，真搞笑啊。呃还有什么呢？其实也没有多少活力和希望吧。嗯，我想着要去南京，南京是我的梦想，，我终身的梦想，有我想要的地方，人我最想去的地方了，还有遗憾吧。 我最近感到压抑和难过的事吗？我体育并不怎么好，跑那个八百就只跑了三分五十一。我知道你跑的很好，别看我靠，我最近比较难过的事情，大概是不对，想把学习搞好一点，但是嗯搞不了啊，是吧？虽然我这次数学一百分了，但是嗯哎呀心情不太爽，我难过的事啊，我的老婆跟将军跑了，我的老婆跟将军跑了，我的老婆跟将军跑了，一个小说的人物，你就不用太在意了哈，心里不太好受嘛，家里面有点事儿吧。然后学校里还有学习，学校里还有学习，真的好崩溃啊，难过的事吗？我到现在都还没有，我现在还没有男朋友，我现在很崩溃啊，不对，不过四爱占比率好像特别低，我去江苏找吧，我勒个去。 呃呃，年级第一次次考。呃，呃，然后梦梦想是考全市第一，成为市中院斑马人。他呃他他很想考年级第一，世界第一不对，他想成为世界第一，他想成为世界靠世界首富，然后他很好，他很他非常好，他心里非常我以上说他的不好都是假的。 嗯，这种状态给我的，我操，吓死呃状态学习这种状态，影响我的学习，然后生活那种你懂吗？那种看得到吃不到的感觉真的很崩溃。耶结束了结束了啊呃美女姐姐，你长得很好看，你也很温柔，我很喜欢你。就如果方便的话，下次加个微信哈，而我旁边那个一子翔，他他要跳楼，他要自杀，而且你个啊痛痛痛痛痛痛，一直想要把这间灯接我救命啊，一瞬间想自杀，想跳楼右边那个电脑注意一下好了啊。 现在的学习压力特别好，还有我呃我现在不怎么开心的原因，主要是因为现在学业压力比较重，然后呢我们的学校这个饭菜呀难吃啊，我们学校饭菜真的难吃的一批早上抢包根本抢不到。你别说包子了那个吃，然后吃吃包吃午餐，吃早餐的时间又短，然后要提前去学习，提前去提前去学习，然后导致我提前去学习，导致我们吃饭的时间没有那么的多。然后呃然后呢没有呃提前去学习老师吃饭时间比较多，早上的时候会非常非常的饿，饿的要死。然后然后呢呃我有个朋友看一拍在南京搞不到手，现在有点苦恼。这样的哦，还有个人叫叶子翔，他现在想蹦极他想从高的地方跳下去，仅此完了 我，最近我心里面总是很慌，因为旁边有个人又在捏，我像变态一样的骚扰我，然后我真的心里很慌。我靠，我现在不确定南京那个人是真的还是活的，是真的还是假的？我现在有点崩了，有什么办法吗？我靠，四年级、五年级、六年级、七年级、八年级、九年级我靠，没到手，我靠，心里肯定很慌啦。呃，要中考嘞，中考没考好那个光明中学的美女多，然后嫁给不是有乐高，为啥你不想去吗？ 然后感觉当然是这样说，每天早上的时候觉得处理，然后每天下的时候也会特别困。每天晚上的时候，每天晚上稍微特别的饿饿极了。然后我没有想过跳下去，但是我旁边的一直想想跳下去，还没有好，他的心里有极大的问题。嗯，呃这周心情的确不怎么好，因为我物理考了六十六分，你懂吧，后面大题全对，结果一分都不给那种啊，六十六分懂不懂？六十六唉，六十六。 空余的时间我喜欢看些小说，有本书叫做某某当天和盛望，那是我永远的少年啊，算少来，这人间。江阳正好风过树林，比视他们正当年少他们的青春，我特别特别特别的喜欢，是那种恣意的、潇洒的，但是也有学习，有压力，有苦涩，但是也有苦涩。回甘后的清甜，我非常喜欢看这本书，但这本书被收了三次了，我有点崩溃。然后我还喜欢玩会游戏。比方说代号元代号园里面的会非常的good,然后演完异次元异次元里面我有很多的老婆，但是有一个老婆她跟将军跑了，我很崩溃。呃，然后就是偶尔画画画喽，然后学习一会儿，然后发呆，想想自己的未来。 \nThe above is an audio recording of a participant speaking in a clinical setting. Based on the speaker's vocal characteristics and linguistic content, estimate their\n\nBased on the speech content, tone, and prosody, classify the speaker’s anxiety severity using the GAD-7 categories: anxiety, no anxiety.\n\n.", "answer": "anxiety", "images": [], "videos": [], "audios": [], "texts": ["mmpsy_dataset/student_1269/wav_1.txt"], "dataset": "mmpsy_anxiety", "modality_signature": "text", "ext_video_feats": [], "ext_audio_feats": [], "task": "anxiety_cls", "class_label": "anxiety"}
{"problem": "<audio>\nSay the word have.\nhave\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_have_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_have_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_have_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word sheep.\nsheep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_sheep_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_sheep_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_sheep_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word chair.\nchair\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_chair_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_chair_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_chair_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word, gin.\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_gin_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_gin_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_gin_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word lose.\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_lose_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_lose_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_lose_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word kick.\nkick\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_kick_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_kick_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_kick_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word, rot.\nrot\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_rot_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_rot_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_rot_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word check.\ncheck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_check_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_check_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_check_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word make.\nmake\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_make_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_make_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_make_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word dip.\ndip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_dip_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_dip_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_dip_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word ripe.\nripe\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_ripe_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_ripe_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_ripe_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word pain.\npain\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_pain_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_pain_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_pain_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word burn.\nburn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_burn_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_burn_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_burn_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word jar.\njar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_jar_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_jar_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_jar_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word live.\nlive\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_live_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_live_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_live_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word lore.\nlore\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_lore_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_lore_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_lore_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word cool.\ncool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_cool_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_cool_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_cool_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_match_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_match_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_match_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word void.\nvoid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_void_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_void_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_void_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word witch.\nwhich\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_which_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_which_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_which_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word life.\nlife\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_life_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_life_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_life_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word voice.\nvoice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_voice_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_voice_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_voice_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word far.\nfar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_far_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_far_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_far_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word tell.\ntell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_tell_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_tell_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_tell_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word limb.\nlimb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_limb_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_limb_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_limb_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word walk.\nwalk\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_walk_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_walk_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_walk_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word fat.\nfat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_fat_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_fat_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_fat_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word bar.\nbar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_bar_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_bar_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_bar_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word, juice.\njuice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_juice_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_juice_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_juice_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word shall.\nshall\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/YAF_disgust/YAF_shall_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_disgust/YAF_shall_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_disgust/YAF_shall_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word moon.\nmoon\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_moon_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_moon_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_moon_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word thumb.\nthumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_thumb_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_thumb_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_thumb_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word dead.\ndead\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_dead_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_dead_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_dead_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word cause.\ncause\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_cause_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_cause_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_cause_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Pert.\nperch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_perch_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_perch_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_perch_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, mouse.\nmouse\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_mouse_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_mouse_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_mouse_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Nier.\nnear\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_near_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_near_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_near_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word lose.\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_lose_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_lose_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_lose_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word nice.\nnice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_nice_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_nice_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_nice_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word tool.\ntool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_tool_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_tool_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_tool_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word date.\ndate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_date_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_date_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_date_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word goal.\ngoal\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_goal_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_goal_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_goal_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, mop.\nmop\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_mop_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_mop_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_mop_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_soap_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_soap_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_soap_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, hurl.\nhurl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_hurl_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_hurl_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_hurl_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word pick.\npick\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_pick_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_pick_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_pick_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Shaq.\nshack\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_shack_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_shack_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_shack_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word sell.\nsell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_sell_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_sell_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_sell_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word doll.\ndoll\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_doll_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_doll_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_doll_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word back.\nback\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_back_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_back_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_back_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, bar.\nbar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_bar_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_bar_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_bar_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, pool.\npool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_pool_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_pool_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_pool_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word keep.\nkeep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_keep_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_keep_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_keep_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word hole.\nhole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_hole_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_hole_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_hole_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word reach.\nreach\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_reach_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_reach_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_reach_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word tip.\ntip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_tip_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_tip_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_tip_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word life.\nlife\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_life_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_life_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_life_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word bot.\nbought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_bought_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_bought_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_bought_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, chat.\nchat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_chat_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_chat_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_chat_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word yes.\nyes\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Fear/OAF_yes_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Fear/OAF_yes_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Fear/OAF_yes_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word peg.\npeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_peg_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_peg_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_peg_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word time.\ntime\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_time_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_time_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_time_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_match_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_match_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_match_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word dead.\ndead\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_dead_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_dead_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_dead_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word fat.\nfat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_fat_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_fat_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_fat_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, join.\njoin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_join_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_join_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_join_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word south.\nsouth\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_south_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_south_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_south_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word shawl.\nshawl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_shawl_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_shawl_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_shawl_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word when.\nwhen\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_when_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_when_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_when_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word sheep.\nsheep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_sheep_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_sheep_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_sheep_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word bite.\nbite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_bite_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_bite_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_bite_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word moon.\nmoon\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_moon_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_moon_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_moon_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word guess.\ngas\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_gas_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_gas_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_gas_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word walk.\nwalk\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_walk_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_walk_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_walk_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word higher.\nhire\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_hire_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_hire_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_hire_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word far.\nfar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_far_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_far_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_far_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word mood.\nmood\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_mood_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_mood_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_mood_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word void\nvoid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_void_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_void_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_void_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word long.\nlong\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_long_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_long_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_long_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word date.\ndate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_date_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_date_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_date_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word home.\nhome\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_home_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_home_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_home_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word gun.\ngun\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_gun_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_gun_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_gun_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word lore.\nlore\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_lore_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_lore_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_lore_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word tape.\ntape\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_tape_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_tape_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_tape_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word lot.\nlot\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_lot_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_lot_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_lot_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word kite.\nkite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_kite_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_kite_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_kite_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, but.\nbought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_bought_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_bought_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_bought_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word ditch.\nditch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_ditch_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_ditch_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_ditch_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word near.\nnear\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_near_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_near_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_near_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word fail.\nfail\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/YAF_angry/YAF_fail_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_angry/YAF_fail_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_angry/YAF_fail_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word shack.\nshack\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_shack_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_shack_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_shack_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word sell?\nsell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_sell_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_sell_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_sell_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word kill?\nkill\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_kill_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_kill_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_kill_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word lung\nlong\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_long_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_long_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_long_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word bar?\nbar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_bar_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_bar_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_bar_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word phone?\nphone\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_phone_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_phone_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_phone_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_match_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_match_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_match_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word big?\nbeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_beg_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_beg_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_beg_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word mess.\nmess\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_mess_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_mess_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_mess_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word mouse.\nmouse\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_mouse_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_mouse_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_mouse_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word goose.\ngoose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_goose_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_goose_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_goose_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word cause?\ncause\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_cause_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_cause_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_cause_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_soap_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_soap_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_soap_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word pearl.\npearl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_pearl_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_pearl_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_pearl_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word tape.\ntape\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_tape_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_tape_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_tape_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word lease.\nlease\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_lease_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_lease_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_lease_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word mood.\nmood\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_mood_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_mood_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_mood_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word mop.\nmop\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_mop_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_mop_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_mop_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word change?\nchain\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_chain_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_chain_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_chain_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word half.\nhalf\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_half_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_half_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_half_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word far\nfar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_far_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_far_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_far_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word merge.\nmerge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_merge_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_merge_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_merge_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word haze?\nhaze\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_haze_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_haze_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_haze_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word fall.\nfall\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_fall_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_fall_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_fall_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word doll?\ndoll\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_doll_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_doll_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_doll_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word check?\ncheck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_check_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_check_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_check_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word road?\nroad\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_road_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_road_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_road_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word wire.\nwire\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_wire_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_wire_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_wire_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word lid?\nlid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_lid_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_lid_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_lid_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nsay the word judge.\njudge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Pleasant_surprise/OAF_judge_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Pleasant_surprise/OAF_judge_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Pleasant_surprise/OAF_judge_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word read.\nread\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_read_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_read_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_read_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word wheat.\nwheat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_wheat_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_wheat_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_wheat_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word pick.\npick\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_pick_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_pick_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_pick_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word hall.\nhall\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_hall_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_hall_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_hall_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word shack.\nshack\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_shack_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_shack_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_shack_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word germ.\ngerm\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_germ_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_germ_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_germ_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word right.\nripe\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_ripe_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_ripe_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_ripe_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word shall.\nshall\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_shall_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_shall_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_shall_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word late.\nlate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_late_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_late_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_late_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word gin.\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_gin_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_gin_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_gin_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word dime.\ndime\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_dime_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_dime_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_dime_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word haze.\nhaze\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_haze_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_haze_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_haze_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word hurl.\nhurl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_hurl_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_hurl_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_hurl_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word tape.\ntape\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_tape_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_tape_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_tape_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word judge.\njudge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_judge_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_judge_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_judge_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word page.\npage\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_page_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_page_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_page_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word wire.\nwire\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_wire_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_wire_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_wire_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word lease.\nlease\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_lease_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_lease_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_lease_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word rose.\nrose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_rose_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_rose_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_rose_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word nag.\nnag\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_nag_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_nag_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_nag_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word live.\nlive\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_live_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_live_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_live_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word red.\nred\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_red_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_red_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_red_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word rot.\nrot\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_rot_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_rot_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_rot_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word tool.\ntool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_tool_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_tool_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_tool_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word love.\nlove\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_love_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_love_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_love_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word sell.\nsell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_sell_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_sell_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_sell_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word kite.\nkite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_kite_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_kite_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_kite_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word whole.\nhole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_hole_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_hole_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_hole_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word mode.\nmode\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_mode_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_mode_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_mode_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word hash!\nhash\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/OAF_happy/OAF_hash_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_happy/OAF_hash_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_happy/OAF_hash_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word boat.\nboat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_boat_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_boat_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_boat_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word dip.\ndip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_dip_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_dip_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_dip_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word pike.\npike\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_pike_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_pike_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_pike_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word nice.\nnice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_nice_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_nice_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_nice_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word thumb.\nthumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_thumb_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_thumb_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_thumb_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word dodge.\ndodge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_dodge_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_dodge_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_dodge_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word tough.\ntough\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_tough_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_tough_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_tough_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word join.\njoin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_join_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_join_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_join_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word goose.\ngoose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_goose_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_goose_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_goose_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word shout.\nshout\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_shout_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_shout_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_shout_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word whip.\nwhip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_whip_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_whip_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_whip_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word puff.\npuff\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_puff_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_puff_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_puff_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word lose.\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_lose_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_lose_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_lose_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word yearn.\nyearn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_yearn_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_yearn_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_yearn_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word get.\nget\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_get_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_get_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_get_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word calm.\ncalm\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_calm_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_calm_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_calm_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word tip.\ntip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_tip_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_tip_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_tip_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word pass.\npass\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_pass_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_pass_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_pass_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word road.\nroad\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_road_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_road_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_road_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word back.\nback\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_back_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_back_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_back_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, raise.\nraise\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_raise_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_raise_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_raise_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word mode.\nmode\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_mode_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_mode_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_mode_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word deep.\ndeep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_deep_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_deep_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_deep_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, turn.\nturn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_turn_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_turn_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_turn_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word hurl.\nhurl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_hurl_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_hurl_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_hurl_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word late.\nlate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_late_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_late_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_late_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word chief.\nchief\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_chief_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_chief_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_chief_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, Paige.\npage\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_page_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_page_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_page_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word book.\nbook\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_book_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_book_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_book_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word rose.\nrose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "anger", "images": [], "videos": [], "audios": ["tess_dataset/OAF_angry/OAF_rose_angry.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_angry/OAF_rose_angry.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_angry/OAF_rose_angry.pt"], "task": "emotion_cls", "class_label": "angry"}
{"problem": "<audio>\nSay the word, dog.\ndog\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_dog_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_dog_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_dog_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word love.\nlove\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_love_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_love_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_love_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word book.\nbook\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_book_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_book_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_book_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word note.\nnote\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_note_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_note_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_note_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word late.\nlate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_late_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_late_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_late_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word burn.\nburn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_burn_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_burn_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_burn_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Dab.\ndab\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_dab_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_dab_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_dab_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word door.\ndoor\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_door_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_door_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_door_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, ton.\nton\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_ton_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_ton_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_ton_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Jin.\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_gin_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_gin_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_gin_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word hate.\nhate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_hate_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_hate_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_hate_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, lore.\nlore\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_lore_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_lore_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_lore_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, haze.\nhaze\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_haze_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_haze_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_haze_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word wheat.\nwheat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_wheat_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_wheat_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_wheat_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word bite.\nbite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OA_bite_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OA_bite_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OA_bite_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, size.\nsize\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_size_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_size_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_size_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word calm.\ncalm\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_calm_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_calm_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_calm_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word sail.\nsail\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_sail_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_sail_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_sail_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, witch.\nwhich\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_which_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_which_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_which_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Juice.\njuice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_juice_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_juice_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_juice_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word mob.\nmob\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_mob_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_mob_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_mob_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, big.\nbeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_beg_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_beg_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_beg_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, turn.\nturn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_turn_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_turn_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_turn_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word kill.\nkill\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_kill_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_kill_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_kill_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word sell.\nsell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_sell_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_sell_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_sell_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word lose\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_lose_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_lose_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_lose_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, seize.\nseize\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_seize_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_seize_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_seize_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word merge.\nmerge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_merge_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_merge_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_merge_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, hit.\nhit\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_hit_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_hit_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_hit_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word death.\ndeath\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/OAF_neutral/OAF_death_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_neutral/OAF_death_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_neutral/OAF_death_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Deb.\ndab\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_dab_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_dab_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_dab_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word near.\nnear\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_near_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_near_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_near_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, Raid.\nraid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_raid_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_raid_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_raid_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, Paige.\npage\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_page_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_page_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_page_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word kick.\nkick\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_kick_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_kick_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_kick_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word red.\nred\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_red_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_red_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_red_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_match_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_match_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_match_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, learn.\nlearn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_learn_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_learn_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_learn_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word rose.\nrose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_rose_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_rose_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_rose_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, Jug.\njug\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_jug_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_jug_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_jug_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word void.\nvoid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_void_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_void_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_void_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word tough.\ntough\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_tough_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_tough_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_tough_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word fail.\nfail\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_fail_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_fail_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_fail_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word weak.\nweek\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_week_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_week_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_week_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word check.\ncheck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_check_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_check_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_check_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, chalk.\nchalk\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_chalk_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_chalk_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_chalk_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word note.\nnote\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_note_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_note_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_note_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word pull.\npole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_pole_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_pole_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_pole_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word thumb.\nthumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_thumb_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_thumb_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_thumb_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word name.\nname\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_name_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_name_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_name_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, mob.\nmob\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_mob_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_mob_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_mob_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word phone.\nphone\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_phone_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_phone_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_phone_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word cause.\ncause\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_cause_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_cause_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_cause_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word boat.\nboat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_boat_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_boat_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_boat_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word pain.\npain\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_pain_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_pain_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_pain_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, King.\nking\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_king_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_king_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_king_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word reach.\nreach\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_reach_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_reach_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_reach_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word burn.\nburn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_burn_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_burn_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_burn_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_soap_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_soap_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_soap_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word hash.\nhash\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/YAF_sad/YAF_hash_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_sad/YAF_hash_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_sad/YAF_hash_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, Jin!\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_gin_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_gin_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_gin_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the words said.\nsaid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_said_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_said_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_said_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Red.\nred\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_red_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_red_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_red_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, tell.\ntell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_tell_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_tell_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_tell_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Rain.\nrain\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_rain_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_rain_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_rain_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, tool.\ntool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_tool_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_tool_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_tool_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word take.\ntake\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_take_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_take_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_take_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word lid.\nlid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_lid_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_lid_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_lid_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word hash.\nhash\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_hash_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_hash_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_hash_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word life.\nlife\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_life_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_life_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_life_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word knock.\nknock\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_knock_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_knock_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_knock_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Void.\nvoid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_void_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_void_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_void_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word check!\ncheck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_check_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_check_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_check_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Reed.\nread\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_read_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_read_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_read_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word mob.\nmob\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_mob_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_mob_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_mob_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Chell.\nshall\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_shall_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_shall_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_shall_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word sour.\nsour\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_sour_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_sour_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_sour_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word whole.\nhole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_hole_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_hole_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_hole_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, dead.\ndead\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_dead_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_dead_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_dead_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word when.\nwhen\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_when_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_when_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_when_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, chief.\nchief\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_chief_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_chief_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_chief_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word lose.\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_lose_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_lose_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_lose_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word tough.\ntough\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_tough_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_tough_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_tough_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word soup.\nsoup\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_soup_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_soup_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_soup_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word food!\nfood\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_food_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_food_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_food_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word youth.\nyouth\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_youth_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_youth_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_youth_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, Beg.\nbeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_beg_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_beg_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_beg_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word thumb.\nthumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_thumb_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_thumb_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_thumb_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word deep.\ndeep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_deep_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_deep_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_deep_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, keg.\nkeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "fear", "images": [], "videos": [], "audios": ["tess_dataset/YAF_fear/YAF_keg_fear.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_fear/YAF_keg_fear.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_fear/YAF_keg_fear.pt"], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<audio>\nSay the word, cheek.\ncheek\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_cheek_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_cheek_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_cheek_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_soap_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_soap_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_soap_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word dip.\ndip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_dip_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_dip_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_dip_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word right.\nrat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_rat_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_rat_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_rat_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word date.\ndate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_date_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_date_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_date_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, rot.\nrot\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_rot_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_rot_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_rot_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word luck.\nluck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_luck_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_luck_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_luck_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word pick.\npick\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_pick_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_pick_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_pick_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, come.\ncalm\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_calm_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_calm_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_calm_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word hurl.\nhurl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_hurl_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_hurl_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_hurl_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word youth.\nyouth\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_youth_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_youth_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_youth_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word good.\ngood\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_good_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_good_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_good_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word void.\nvoid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_void_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_void_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_void_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word mouse.\nmouse\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_mouse_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_mouse_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_mouse_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word red.\nred\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_red_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_red_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_red_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word rag.\nrag\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_rag_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_rag_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_rag_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_match_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_match_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_match_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word white.\nwhite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_white_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_white_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_white_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word pass.\npass\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_pass_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_pass_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_pass_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word vine.\nvine\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_vine_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_vine_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_vine_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word search.\nsearch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_search_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_search_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_search_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word love.\nlove\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_love_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_love_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_love_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, Jen.\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_gin_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_gin_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_gin_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, Peg.\npeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_peg_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_peg_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_peg_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, knock.\nknock\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_knock_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_knock_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_knock_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word hit.\nhit\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_hit_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_hit_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_hit_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word ring.\nring\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_ring_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_ring_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_ring_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, Hayes.\nhaze\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_haze_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_haze_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_haze_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word numb.\nnumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_numb_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_numb_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_numb_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word keen.\nkeen\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "happy", "images": [], "videos": [], "audios": ["tess_dataset/YAF_happy/YAF_keen_happy.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_happy/YAF_keen_happy.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_happy/YAF_keen_happy.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<audio>\nSay the word, lose.\nlose\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_lose_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_lose_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_lose_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, shawl.\nshawl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_shawl_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_shawl_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_shawl_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word higher.\nhire\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_hire_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_hire_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_hire_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, chair.\nchair\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_chair_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_chair_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_chair_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, ditch.\nditch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_ditch_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_ditch_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_ditch_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, bone.\nbone\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_bone_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_bone_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_bone_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word whip.\nwhip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_whip_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_whip_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_whip_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word door.\ndoor\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_door_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_door_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_door_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word boat.\nboat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_boat_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_boat_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_boat_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word fat.\nfat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_fat_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_fat_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_fat_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word raise.\nraise\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_raise_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_raise_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_raise_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word lot.\nlot\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_lot_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_lot_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_lot_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word mode.\nmode\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_mode_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_mode_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_mode_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, chat.\nchat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_chat_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_chat_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_chat_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word came.\ncame\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_came_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_came_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_came_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Jug.\njug\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_jug_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_jug_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_jug_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, wire.\nwire\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_wire_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_wire_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_wire_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_soap_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_soap_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_soap_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word long.\nlong\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_long_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_long_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_long_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, bot.\nbought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_bought_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_bought_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_bought_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word tape.\ntape\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_tape_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_tape_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_tape_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, loaf.\nloaf\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_loaf_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_loaf_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_loaf_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word note.\nnote\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_note_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_note_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_note_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word five.\nfive\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_five_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_five_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_five_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word name.\nname\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_name_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_name_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_name_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word wash.\nwash\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_wash_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_wash_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_wash_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, numb.\nnumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_numb_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_numb_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_numb_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word kite.\nkite\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_kite_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_kite_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_kite_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word tip.\ntip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_tip_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_tip_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_tip_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word, Thin.\nthin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "neutral", "images": [], "videos": [], "audios": ["tess_dataset/YAF_neutral/YAF_thin_neutral.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_neutral/YAF_thin_neutral.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_neutral/YAF_thin_neutral.pt"], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<audio>\nSay the word said.\nsaid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_said_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_said_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_said_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word get.\nget\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_get_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_get_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_get_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word team.\nteam\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_team_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_team_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_team_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word learn.\nlearn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_learn_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_learn_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_learn_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word tough.\ntough\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_tough_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_tough_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_tough_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word sheep.\nsheep\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_sheep_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_sheep_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_sheep_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word mouse.\nmouse\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_mouse_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_mouse_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_mouse_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word merch.\nmerge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_merge_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_merge_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_merge_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word wheat.\nwheat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_wheat_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_wheat_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_wheat_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word cab.\ncab\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_cab_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_cab_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_cab_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word cool!\ncool\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_cool_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_cool_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_cool_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word tell.\ntell\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_tell_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_tell_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_tell_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word home.\nhome\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_home_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_home_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_home_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word pad.\npad\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_pad_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_pad_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_pad_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word join.\njoin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_join_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_join_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_join_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word dip.\ndip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_dip_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_dip_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_dip_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word pearl.\npearl\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_pearl_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_pearl_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_pearl_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word hit.\nhit\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_hit_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_hit_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_hit_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word youth.\nyouth\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_youth_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_youth_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_youth_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word dead.\ndead\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_dead_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_dead_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_dead_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word rush.\nrush\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_rush_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_rush_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_rush_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word raise.\nraise\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_raise_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_raise_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_raise_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word love.\nlove\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_love_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_love_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_love_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word dodge.\ndodge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_dodge_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_dodge_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_dodge_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word mob.\nmob\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_mob_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_mob_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_mob_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word live.\nlive\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_live_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_live_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_live_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word, Lord.\nlaud\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_laud_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_laud_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_laud_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word late.\nlate\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_late_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_late_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_late_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word door.\ndoor\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_door_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_door_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_door_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word shout.\nshout\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "surprise", "images": [], "videos": [], "audios": ["tess_dataset/YAF_pleasant_surprised/YAF_shout_ps.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/YAF_pleasant_surprised/YAF_shout_ps.pt"], "ext_audio_feats": ["opensmile/tess_dataset/YAF_pleasant_surprised/YAF_shout_ps.pt"], "task": "emotion_cls", "class_label": "pleasant_surprise"}
{"problem": "<audio>\nSay the word dead.\ndead\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_dead_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_dead_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_dead_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word doll.\ndoll\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_doll_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_doll_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_doll_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word said.\nsaid\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_said_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_said_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_said_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, talk.\ntalk\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_talk_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_talk_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_talk_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, judge.\njudge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_judge_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_judge_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_judge_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word right.\nripe\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_ripe_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_ripe_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_ripe_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word good.\ngood\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_good_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_good_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_good_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word half.\nhalf\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_half_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_half_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_half_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word team.\nteam\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_team_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_team_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_team_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word hush.\nhush\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_hush_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_hush_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_hush_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word note.\nnote\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_note_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_note_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_note_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word soap.\nsoap\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_soap_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_soap_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_soap_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word check.\ncheck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_check_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_check_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_check_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, sure.\nsure\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_sure_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_sure_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_sure_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, bot.\nbought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_bought_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_bought_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_bought_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word keg.\nkeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_keg_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_keg_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_keg_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word fail.\nfail\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_fail_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_fail_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_fail_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word live.\nlive\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_live_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_live_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_live_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word mill.\nmill\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_mill_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_mill_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_mill_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word match.\nmatch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_match_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_match_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_match_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word wheat.\nwheat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_wheat_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_wheat_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_wheat_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, search.\nsearch\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_search_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_search_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_search_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word dip.\ndip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_dip_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_dip_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_dip_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word thought.\nthought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_thought_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_thought_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_thought_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word junk.\njug\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_jug_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_jug_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_jug_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, youth.\nyouth\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_youth_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_youth_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_youth_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word loaf.\nloaf\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_loaf_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_loaf_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_loaf_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, urine.\nyearn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_yearn_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_yearn_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_yearn_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, Lord.\nlaud\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_laud_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_laud_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_laud_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word, pole.\npole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "sad", "images": [], "videos": [], "audios": ["tess_dataset/OAF_Sad/OAF_pole_sad.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_Sad/OAF_pole_sad.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_Sad/OAF_pole_sad.pt"], "task": "emotion_cls", "class_label": "sad"}
{"problem": "<audio>\nSay the word loaf.\nloaf\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_loaf_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_loaf_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_loaf_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word mill.\nmill\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_mill_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_mill_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_mill_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word death.\ndeath\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_death_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_death_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_death_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word fat.\nfat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_fat_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_fat_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_fat_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word merge.\nmerge\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_merge_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_merge_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_merge_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word jar.\njar\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_jar_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_jar_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_jar_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word base\nbase\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_base_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_base_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_base_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word numb.\nnumb\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_numb_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_numb_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_numb_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word burn.\nburn\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_burn_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_burn_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_burn_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word whip.\nwhip\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_whip_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_whip_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_whip_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word rat.\nrat\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_rat_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_rat_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_rat_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word BOT.\nbought\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_bought_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_bought_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_bought_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word lean.\nlean\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_lean_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_lean_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_lean_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nsay the word mob.\nmob\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_mob_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_mob_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_mob_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word beg.\nbeg\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_beg_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_beg_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_beg_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word cab.\ncab\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_cab_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_cab_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_cab_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word, rush.\nrush\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_rush_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_rush_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_rush_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word gin.\ngin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_gin_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_gin_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_gin_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word ton.\nton\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_ton_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_ton_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_ton_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word haze.\nhaze\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_haze_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_haze_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_haze_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word luck.\nluck\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_luck_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_luck_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_luck_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word reach.\nreach\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_reach_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_reach_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_reach_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nsay the word keen.\nkeen\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_keen_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_keen_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_keen_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word nice.\nnice\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_nice_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_nice_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_nice_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word road.\nroad\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_road_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_road_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_road_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nsay the word third.\nthird\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_third_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_third_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_third_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word wife\nwife\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_wife_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_wife_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_wife_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word thin.\nthin\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_thin_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_thin_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_thin_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word met.\nmet\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_met_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_met_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_met_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<audio>\nSay the word pole.\npole\nAbove is the transcript and an audio recording from a clinical context. What emotion is the speaker expressing? Answer with one of the following: anger, disgust, fear, happy, neutral, surprise, sad; ", "answer": "disgust", "images": [], "videos": [], "audios": ["tess_dataset/OAF_disgust/OAF_pole_disgust.wav"], "dataset": "tess", "texts": [], "modality_signature": "text_audio", "ext_video_feats": ["pose/tess_dataset/OAF_disgust/OAF_pole_disgust.pt"], "ext_audio_feats": ["opensmile/tess_dataset/OAF_disgust/OAF_pole_disgust.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\n这个神经病\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0001/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0001/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0001/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0001/12.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n巧了，人事科正好缺了一个副科长。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0001/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0001/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0001/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0001/21.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n副科长还一步登天，我今天要不混上个正科长，我都对不起自己这顿折腾。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0001/22.mp4"], "audios": ["chsimsv2_dataset/validation/video_0001/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0001/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0001/22.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n黄先生我都听说了，我的干儿子沧海被你提升为副科长。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0001/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0001/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0001/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0001/23.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n咱俩都得烧死\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0001/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0001/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0001/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0001/32.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n咱们球队上上下下都是非常信任你，认为你就是能力不行。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n好聚好散，有时间回来看一看。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你们不要太嚣张了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我没事儿，他们应该也不是故意的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你放心，你的猪脑我另作他用。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/20.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n非常理解您想请朋友们把酒言欢的心情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你说那个，你还是没有一技之长，就是大款身边的狗腿子呗，哈哈哈哈\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/26.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n王多鱼是我哥们，你们总说我是他身边的一条狗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/28.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n明天早上我来上班，工具我那儿都齐。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0002/34.mp4"], "audios": ["chsimsv2_dataset/validation/video_0002/34.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0002/34.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0002/34.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我什么都可以不要，我不去欧洲了，我不要LV了，我也不换车了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0003/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0003/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0003/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0003/5.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n您怎么会觉得他没错\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/3.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n如果没有不同意的，我们现在就开始啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n这就是我赞赏你态度的原因。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n活了74岁了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n人跟你不一样，人家有的是钱\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/13.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n哎，这个大哥肯定是一清二楚\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/14.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n用脑子想想就应该发现这里边有问题。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0005/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0005/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0005/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0005/16.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n嗨，大家就叫我小王吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n就在这咸鱼翻身的日子里边\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/2.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n在这没人惯着你们。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/3.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n能力强，责任就大\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/5.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我在你这儿不就一直就是个笑话吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/8.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n燕雀安知鸿鹄之志哉\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/17.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n就不讲理了呗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0006/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0006/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0006/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0006/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你有病吧你。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0007/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0007/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0007/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0007/3.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我是你女儿的朋友，她生病了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0007/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0007/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0007/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0007/10.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n要不这样吧，让给我们家做年夜饭的酒店给你们送。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0008/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0008/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0008/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0008/6.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n恐怕赵良娣未必与太子妃同心。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你也觉得奇怪啊，我刚才也觉得奇怪。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我意已决，你不用再劝我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n只有活着才有机会去弥补一切。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n今日天气好，瑟瑟就想到姐姐这里来坐。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/20.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n是我自小随身携带的香，啊，太子殿下，也喜欢这个味道呢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/22.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/22.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n该用张参来离间高相和皇后\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/27.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n那妾身现在就召人准备茶\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/30.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n赵士玄是你娘家人，让他协理也是理所应当的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0009/38.mp4"], "audios": ["chsimsv2_dataset/validation/video_0009/38.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0009/38.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0009/38.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n他比较自私，你知道吧，我妈，我妈不是以为你走了吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0010/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0010/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0010/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0010/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n方一凡俩人还聊的欢声笑语的，行，哥儿俩处的不错，挺好。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0010/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0010/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0010/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0010/5.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n50分一下就没了，你好歹写俩字啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0010/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0010/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0010/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0010/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我哪点搞不定了？她胡说什么呢？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0010/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0010/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0010/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0010/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你以后别再给他买这些了，他都高三了，多耽误学习。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0010/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0010/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0010/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0010/31.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n与其心生敬佩，不如自己便是那样的人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/7.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n不能得见故皇后之舞姿是臣妾之憾。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n梅妃含情所著的楼东赋没有能使她再度得幸于唐玄宗，倒是华妃娘娘感动了皇上。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/16.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n叫我怎么甘心呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n孩子长得快，一会就长大了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/23.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n一去不知何时才能回来，要不先到偏殿等候吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/28.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n想必是与皇后反其道而行之，想让皇上从严处置安比槐吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/30.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n再亲自去向娘娘道谢吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0011/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0011/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0011/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0011/31.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n赶巧了，这大事就发生了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n此时此刻最重要的是世子的安危啊！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n王后娘娘一人之下，还缺什么呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n今天在紫苏那里，本王差点就保不住你了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/17.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n太皇太后没有杀我们，说明她老了心软了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/29.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n朕看奏折的时候不许打扰。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/37.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n太好了，你这么想就对了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/39.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/39.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/39.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/39.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n只要你给他一个温暖的怀抱，让她觉得安全，其他的都不重要。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/42.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/42.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/42.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/42.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我活得好辛苦，我真的好辛苦。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/44.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/44.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n姐姐不是进宫以来一直都过着轻松的日子吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/45.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/45.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/45.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/45.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n如果皇上宠幸你的话，你求个情不就行了吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0012/47.mp4"], "audios": ["chsimsv2_dataset/validation/video_0012/47.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0012/47.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0012/47.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哎，我走的时候落了一本书，你看到没啊？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n行，你说什么就是什么，你说什么规矩就是什么规矩\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n神经病啊你。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我从来就没见过一个女生，三更半夜还在男生宿舍打牌厮混\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/10.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我就知道你这种人做什么事都半途而废。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n真的呀。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/12.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n就水到渠成的时候，自然而然就牵了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/14.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n人没目标死了算了，他的意思就是让你放任自流。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n郑微你能不能清醒一点啊！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/27.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n不是这样的,我不相信\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/28.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我就要这么作践自己\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/31.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我在年轻的时候有一个男孩子他很爱很爱我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0013/33.mp4"], "audios": ["chsimsv2_dataset/validation/video_0013/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0013/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0013/33.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哎，反正你别把这件事算在郑开司头上，人家如果需要赔偿的话，就从我工资里扣呗。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哥，我求你，不要丢我一个人在这里，可以吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n输了你得去死\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这事不能我们自己干，一旦被人发现就没人跟我们比了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n要不是你带着我，我估计早就被人骗进小黑屋了，我命就交给你了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你同伴告诉我的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/13.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我以我的生命起誓，这次绝对不是在骗你\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n等布再减少两张，我们就行动\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n跟我比吧，你要是赢了，我给你两颗星，要是输了，你只需要给我一颗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/21.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n别担心，我替你们去\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/24.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/24.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n最少能卖150万美金，如果抗到最后，价格没准还能更高\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/27.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n亲兄弟也靠不住啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/30.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这样就可以多维持几个月\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/31.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n爸爸尽力了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0014/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0014/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0014/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0014/32.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你想要什么我都给你啊！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n看来我暗示的还不够明显啊，我问你金子呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n都是道上的，给点面子啦\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n表妹，今天这个生日，你一定会很惊喜，祝你幸福。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n他是我隔壁班同学，好久都没有去学校了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/18.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n行行行，好，五天就五天，再减就成负的了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/20.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n可以去澳洲啊，那边阳光好，海鲜也很棒啊！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/25.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哭哭个毛线啊，又不是溺水\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/29.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这话好像是大反派的回答\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/30.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这只是个巧合，证据呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/36.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/36.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n恶人是不是该这么笑，哈哈哈\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0015/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0015/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0015/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0015/41.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n都是同学啊，咱们派一个代表讲两句好不好，夏洛！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/4.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你搁这又唱又跳，穿的跟个鸡毛掸子似的，你嘚瑟什么呀？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n咱俩结婚的时候什么仪式都没有\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/12.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n冬梅，你是入学以来第一个主动要求坐在我身边的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/20.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n怎么，吃不惯啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/28.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你为了让我戒烟，把家里所有的打火机都藏在暖气片后面\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n快带我去检查\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/37.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n打今儿起，咱俩各论各的，我管你叫哥\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/41.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n那麻烦您能告诉我他现在情况怎么样了吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0016/43.mp4"], "audios": ["chsimsv2_dataset/validation/video_0016/43.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0016/43.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0016/43.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我我丈夫，她勾引我丈夫\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0017/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0017/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0017/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0017/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我说错什么了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0018/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0018/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0018/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0018/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n那么过两天我还可以再来吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0019/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0019/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0019/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0019/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n不是，我们分手了，没有孩子，不算太痛苦\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0019/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0019/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0019/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0019/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n沈小姐，章能才躲在哪儿？我让他替我偿命\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0019/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0019/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0019/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0019/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n是我们自愿的，他把他的心交给他的梦，我把我的心交给他。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0019/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0019/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0019/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0019/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们走吧，你让我妹妹坐前面吧，她个子比较小。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0020/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0020/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0020/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0020/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n他是我见过最好的狙击手。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0021/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0021/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0021/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0021/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n如果我不跟你说，我没有办法拿到我要的东西\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0021/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0021/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0021/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0021/10.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我没什么可以坚持的，也没什么要放弃的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0022/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0022/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0022/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0022/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n不是我们俩刚认识，你确定吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你是2018年人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你搬走了，也许这就恢复原样了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/20.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我先来的，我比你早20年就住这了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/22.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/22.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n酒驾车祸，烧的什么都没有了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/26.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你这样会让老板破产的，你这是犯法，会坐牢的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/29.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这六家店呀，就你们最不让人人省心了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/32.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n陆先生你好，我跟小江呢大学最好的闺蜜，你叫我小雅就好了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/40.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/40.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n老公，你真好，应该早点出现嘛\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/41.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你是怕你同学觉得担心你，所以你就表现的稍微那么浮夸一点\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/42.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/42.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/42.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/42.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n女士，你看我有没有点重影啊？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/44.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/44.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你笑得多好，那些有钱人眼里绝对没有你这样的纯粹。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/48.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/48.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/48.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/48.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n别做梦了好吗，就那破图能成楼吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/50.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/50.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/50.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/50.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n回到正规上来，这才是重要的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0023/58.mp4"], "audios": ["chsimsv2_dataset/validation/video_0023/58.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0023/58.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0023/58.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n亲自为儿子做的生日礼物\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n跑步之后，本市最大的峰会大桥，将会正式投入使用\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/5.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n那要你爸爸，那就是我祖宗。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n因为他们很喜欢爸爸的工作啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/7.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n等你长大以后一定要做自己最喜欢的事情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们是碰上了亿万分之一的概率。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n咱俩也走到这了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n干什么\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/20.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n就得指着天上随便有一个星星来忽悠她。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/26.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n而是快速地抛弃他们，为人师的有何博喻可谈\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/40.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/40.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n从今天起，他从寄宿改成走读。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/45.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/45.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/45.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/45.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n年纪前十应该什么来着\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/50.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/50.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/50.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/50.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我是她妈，我为她好。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/51.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/51.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/51.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/51.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n没事没事儿，我没事儿，你走你的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/56.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/56.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/56.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/56.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n那得多以前啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/58.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/58.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/58.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/58.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我毕业那年去设计院，您亲自面试的我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/64.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/64.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/64.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/64.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n但爸爸相信你不是\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/68.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/68.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/68.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/68.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n他爸爸这个人不会塌，儿子，相信爸爸。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/69.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/69.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/69.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/69.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n最好咱们还是别让邻居们发现。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/72.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/72.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/72.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/72.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n如果你不介意，以后我可以帮马飞改善伙食。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/80.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/80.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/80.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/80.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n小高老师被记过处分了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/85.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/85.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/85.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/85.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n如果差一分，我也会被开除的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/86.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/86.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/86.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/86.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n爸，只让带一样东西，我带上了它。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/90.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/90.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/90.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/90.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n马飞\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/103.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/103.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/103.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/103.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n念下这篇作文，可以吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/106.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/106.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/106.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/106.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n孩儿想申请科研经费，率先打造宇宙飞船。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/107.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/107.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/107.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/107.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n63年考的师范，我是光着脚走进学校的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/108.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/108.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/108.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/108.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n把自己的桥修好，在我看来，是世界上最大的事。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0024/115.mp4"], "audios": ["chsimsv2_dataset/validation/video_0024/115.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0024/115.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0024/115.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n那个人是谁\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这根本就没有结婚的氛围。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哈哈，我就说他是个串儿吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/20.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你还给我看面相，我给人家算命的时候你还没来大姨妈呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/27.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我感觉他就是个坏人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/29.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n然后追上去弄死他\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/30.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n哈哈哈哈，我这么一笑是不是有点像坏人呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/32.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n资料说这里不是第一现场，应该是河水把尸体冲到这儿了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/38.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/38.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/38.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/38.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n那大师，您能帮我看看这个图，它是什么意思吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/41.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n凶手是把纽约市当成了自己的法坛\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/48.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/48.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/48.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/48.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n先听好消息啦\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0025/55.mp4"], "audios": ["chsimsv2_dataset/validation/video_0025/55.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0025/55.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0025/55.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n亲爹，你算什么亲爹啊。你尽过当爹的责任吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0026/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0026/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0026/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0026/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n他不太好，勇哥，你还能搞到印度药吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0026/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0026/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0026/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0026/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n房子吃没了，家人被我吃垮了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0026/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0026/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0026/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0026/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n他们吃不起进口的天价药，他们就只能等死啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0026/24.mp4"], "audios": ["chsimsv2_dataset/validation/video_0026/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0026/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0026/24.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n爹，爷爷又来骂你了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n想来借点钱在镇上开个小铺。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n珍珍啊，这炼钢工地上，唱不唱戏啊？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n日子过的是好是坏，我说过什么没有\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/21.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n怎么会是你的儿子呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/24.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/24.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我带厂里几位同志把屋里屋外都收拾了一下\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/29.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n等凤霞的孩子长大了时代就更好了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/37.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n哎呦，馒头越来越能干了，都能送十壶水了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/47.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/47.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/47.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/47.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这么一大堆你说他能不出事吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0027/48.mp4"], "audios": ["chsimsv2_dataset/validation/video_0027/48.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0027/48.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0027/48.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你找了谁来负责调查组？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n但是要记住，不管成不成功，行动时间只有15分钟。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你都得给我出来，你来这里就得配合我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n如果你跟我还要在继续合作下去，你就是按照我的方法。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n谢文峰，大家都叫我哪吒\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n在金三角，诺卡只有两个代理人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你刚到这工作的时候也不太适应吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n没有什么比直接打击毒贩更让我兴奋。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0028/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0028/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0028/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0028/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n长大了成为一个顶天立地的男子汉\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0029/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0029/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0029/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0029/23.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我就想活着出去见我老婆孩子。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0029/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0029/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0029/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0029/26.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你个狗日的，这半瓢水你都吸不干净\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0030/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0030/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0030/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0030/5.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n师傅说让我早去早回\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0030/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0030/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0030/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0030/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n尤天明，你个小狗日的，给老子出来。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0030/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0030/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0030/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0030/37.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n就是民俗文化，简单点说，就是想请你们游家班吹一场唢呐\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0030/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0030/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0030/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0030/41.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n有一天你发现天上多了一颗星星，那就是我找你娘去了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你要打，就在战场上打\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n但是我现在明白，他是在磨练我\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n恳请单于，别再分散兵力了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n在战场上绝不能有感情\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n如果可以用我的生命去停止这场战争的话，我早就做了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/16.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n兵贵神速，我想今夜就动身。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们的队伍里，有汉人，士人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/27.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n惟有解决引起战争的祸首，才能停止这场战争。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0031/33.mp4"], "audios": ["chsimsv2_dataset/validation/video_0031/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0031/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0031/33.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你枪不错呀，哪儿弄的？给我指个道呗。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0032/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0032/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0032/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0032/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我妈也是你的一个大粉丝，他也特别喜欢你的戏。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0032/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0032/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0032/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0032/15.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我台湾来的嘛，你呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0033/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0033/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0033/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0033/2.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n老板，一份厨师沙拉\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0033/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0033/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0033/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0033/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n唉，不要了，这家人太多，你换别的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0033/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0033/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0033/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0033/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你表哥真会做生意啊，刚刚开始介绍我买炸鱼薯条，现在连店都让给我了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0033/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0033/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0033/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0033/13.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n手机没信号。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0034/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0034/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0034/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0034/1.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这里的海水平均深度在三千米\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0034/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0034/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0034/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0034/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n明天你休息一下吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0034/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0034/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0034/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0034/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n至少把柴油给用尽，把罐头吃完你再死\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0034/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0034/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0034/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0034/20.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你刚才怎么不说话\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0035/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0035/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0035/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0035/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n整个花萼楼外，牡丹种了十万株\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0035/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0035/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0035/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0035/18.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你也爱上了她，你也为它疯狂\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0035/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0035/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0035/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0035/30.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n大唐陨落不是她的错\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0035/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0035/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0035/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0035/31.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n是皇上下的令，我亲手绣的白绫\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0035/33.mp4"], "audios": ["chsimsv2_dataset/validation/video_0035/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0035/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0035/33.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n如此卑躬屈膝，蒙羞受辱，江山早晚都要断送在你的手中\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n两国是联盟，双方主帅一旦动手等于宣战，这点道理你也不懂\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你到底有几成胜算\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/8.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我宁可永不收回靖州，也不愿坏了联盟\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n王子与庶民同罪\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n田战这是要反啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/20.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n其实你有很多机会可以拒绝，可以逃跑\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/25.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n今夜，是你在这里的最后一晚了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0036/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0036/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0036/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0036/27.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n亏你还记得我们一百多年都没见了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0037/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0037/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0037/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0037/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我会毫不犹豫\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0037/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0037/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0037/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0037/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n想要你就说嘛，打晕我干什么啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0037/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0037/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0037/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0037/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我不会让你活着回去\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0037/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0037/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0037/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0037/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n就是要毁掉天机仪，人才可以掌握自己的命运\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0037/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0037/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0037/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0037/21.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我俩是高中同学，不过我俩没早恋\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n这么优秀的男人，早就应该结婚生子了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我觉得，这个设定有问题\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n过去这么多年的事，谁要在乎啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/10.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你在这找到我的钱包了吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n医生说，脱臼了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n因为那个制片人是我的老同学\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/28.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n观众的期待是我们节目最大的动力\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/30.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n客气啦，应该的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/33.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/33.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n要不要跟嘉宾对一下台本\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/35.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/35.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n没有回母校看看吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/36.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/36.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n是不是特别想唱给我听呀\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/41.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我这就去打扫\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0038/43.mp4"], "audios": ["chsimsv2_dataset/validation/video_0038/43.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0038/43.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0038/43.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n夏军，你放开我老婆\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0039/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0039/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0039/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0039/4.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我们私下谈不行吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这艘船上不仅是我们三个人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n听见没有，我叫你滚\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n但恳请各位领导从轻处分\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n它认识我我不认识它\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/21.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我真的是孙子\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n好，很不错\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/27.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n说明她没骗你啊，他完全可以一年之后再告诉你\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/30.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我希望告诉他们我不是一个失败者\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/50.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/50.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/50.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/50.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n晓骏，吃完饭，咱们去攻陷美国\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0040/54.mp4"], "audios": ["chsimsv2_dataset/validation/video_0040/54.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0040/54.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0040/54.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n男人就怕女人哭\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你也知道，我原来是妓院出来的，我嫁到督办这呢，我跟了督办了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n外面传言我跟刘汉臣这场戏的怎么着怎么着，督办您觉得这能是真的吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n督办您是什么人啊，您是铮铮铁骨，您是男子汉，统带千军万马\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/8.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n所以我就买通了星期六晚报\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你们也被这边感染了吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n他跟人家说群的去了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/26.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我说我啊约他上国民饭店\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0041/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0041/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0041/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0041/30.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我让你给咱们保安队招新人招的怎么样了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0042/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0042/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0042/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0042/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n好，那我就放心了，他们人呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0042/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0042/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0042/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0042/2.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我确实找到我这个问题改变的方法了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0042/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0042/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0042/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0042/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我学了三个月的军事战略部署\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0042/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0042/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0042/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0042/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n和水手们亲切地交谈，他看见我，向我亲切的挥了挥手\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0042/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0042/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0042/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0042/19.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n没想到意外收获会这么多\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/21.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n但我之前一直不会发现这个问题\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n他们渴望成为演技派的，每个人都渴望\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/31.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n确实是你的形象是让人非常过目不忘的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/44.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/44.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n好久没有体会到这种即兴的魅力，而且我很感谢我对手，真的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/47.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/47.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/47.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/47.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n从头到尾里面她都很关注一个事件，发生了什么事情她都一直不丢掉这个最高任务\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/54.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/54.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/54.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/54.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n只要够优秀，优秀到极点，那我肯定要抢的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0043/64.mp4"], "audios": ["chsimsv2_dataset/validation/video_0043/64.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0043/64.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0043/64.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n说真的，我连徐导都不知道是谁\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0044/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0044/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0044/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0044/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n反正我们都会尽我们的全力\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n二十岁的时候我选择去服兵役\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n因为在当艺人的那个阶段，我每天不是这个播音棚就是那个播音棚\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我犯了一个巨大的跟头和错误，在很漫长的时间里面\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/28.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我很愤怒\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/29.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n当初我确实是有一点点担心，会怕冷到场\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n念到后来我才发现，这个人，好像是我，有这么厉害吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/32.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n那天，我和我一个朋友去逛街买衣服\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/37.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你能不能买点正经衣服\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/38.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/38.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/38.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/38.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你想突出的是这个三十而立，我听到后半部分的时候我觉得这个主题的主线不够清晰\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/46.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/46.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/46.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/46.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n听完之后能够认认真真的做事，认认真真的作人，认认真真的说话\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/64.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/64.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/64.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/64.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n每个人都想成全自己，但是很少有人会想到如何通过成全别人来成全自己\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/66.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/66.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/66.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/66.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我今天输的一点都没有遗憾，我来这个舞台我已经达到我的目的了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/70.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/70.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/70.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/70.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我一开始还在想他拿着手机在做什么，原来山哥是在搜证\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/78.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/78.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/78.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/78.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n一是下，二是上，林志颖，出列\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/82.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/82.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/82.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/82.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我发现他们见到我一开始对我形象的抵触，他已经对我讲的内容没有兴趣了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/91.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/91.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/91.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/91.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我说我讲的东西是好的，能够对你有帮助，你为什么不接纳我\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/92.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/92.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/92.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/92.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你为什么不看我的内容\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/94.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/94.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/94.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/94.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n很简单，在工作上，老一辈的经验你还没有学完\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0045/98.mp4"], "audios": ["chsimsv2_dataset/validation/video_0045/98.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0045/98.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0045/98.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我希望这一次能够选一些比较温暖的比较能量的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你讲完之后我都不太敢讲了，都总结的那么好我都不知道该怎么讲\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n那天你昏迷了一天什么都没有做，你能证明我说错了吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n12410枚金币，这些金币去哪了我都还记得\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我建议你选一个跟你差别最大的人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n大家好，我叫杨蕊蕾，我跟其他女孩不一样\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n根本停不下来啊，朋友们说我这么喜欢说话那只有一个舞台适合我，那就是超级演说家\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/19.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n亲爱的，跟他们在一起太无聊了，等会打电话叫我回家，温柔点，我开免提啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/22.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/22.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n他说完她的心都化了我觉得我的心都化了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/26.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/26.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我说你有孩子你为什么偷我的儿子\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/28.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n算上我加上你一共八个人，不同的年纪不同的性别来自不同的地方做不同的事\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n他们开始疯狂的往场内扔垃圾扔零食仍矿泉水\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/42.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/42.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/42.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/42.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n通常要穿多久啊这身衣服\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/44.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/44.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我总是特别容易被有梦想的人打动\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/45.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/45.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/45.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/45.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n北极熊只是轻轻的和你握个手你的手可能就不见了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/48.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/48.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/48.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/48.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n北极熊只是轻轻的和你握个手你的手可能就不见了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/50.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/50.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/50.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/50.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n所以今天我讲的故事还是第一人称\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/56.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/56.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/56.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/56.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我觉得这个是不容易的，能够从一个吉祥物中去悟出一些道理\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0046/63.mp4"], "audios": ["chsimsv2_dataset/validation/video_0046/63.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0046/63.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0046/63.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n对，您的记忆力很好\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n无论凶手是谁，我都希望重判\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我什么都没说\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/20.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你可以不把我的偶像金曲变成噪音吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/33.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/33.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n看来有些东西是真的不会变的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/35.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/35.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你今天找我来是叙旧吵架还是交易啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/36.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/36.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我们收费都不便宜的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/39.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/39.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/39.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/39.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n现在觉得不好玩了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/41.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/41.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我不觉得两件事是一个巧合，所以我一定不会终止起诉\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/49.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/49.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/49.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/49.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n根据腹部刀伤的切入角度和高度，我们判断凶手应该身高一米八左右\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/56.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/56.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/56.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/56.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n不可能有第三个人出现对吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/59.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/59.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/59.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/59.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n知道现在有十几个警察在帮他们寻找证据\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/65.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/65.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/65.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/65.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你想想如果让别人知道你年纪轻轻的就有一个私生子\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/71.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/71.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/71.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/71.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n还哪里有歌迷会去买你的唱片呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/72.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/72.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/72.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/72.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n当然是去后台啊，她的化妆间\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/74.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/74.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/74.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/74.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n没想到你还挺长情的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/78.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/78.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/78.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/78.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n真相就那么重要吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/79.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/79.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/79.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/79.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n为了真相毁掉一个人，这真相值得吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/80.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/80.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/80.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/80.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你怎么回来北京吗，你不是说北京很冷的吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/81.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/81.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/81.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/81.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n该补的那天，她会那么问我\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/87.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/87.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/87.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/87.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我们来做个游戏\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/88.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/88.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/88.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/88.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你出卖我\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0047/89.mp4"], "audios": ["chsimsv2_dataset/validation/video_0047/89.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0047/89.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0047/89.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我是让你人往右\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/1.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你们说爷爷也真是的，干嘛非得大年三十去旅游啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这是菜单吗，这分明是满汉全席啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/11.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你得赶紧想办法怎么对付他们啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/25.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n合着大过年的仨孩子一个都不在跟前\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/27.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/27.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你说这年这还怎么过啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/28.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这才像过个团圆年呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0048/32.mp4"], "audios": ["chsimsv2_dataset/validation/video_0048/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0048/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0048/32.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你看看这俩孩子，多懂事\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n其实我还真没什么事\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我都和鼠标键盘约好了说今天几个同学一块聚一聚\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/3.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你看看，还是人家东海会教育孩子吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/13.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我就是有条件的答应了他\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n您不是都同意了吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0049/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0049/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0049/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0049/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n您愿意留下可以给您留着，随您啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0050/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0050/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0050/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0050/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n人家照相都不要钱了，用摩斯当然得给钱了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0050/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0050/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0050/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0050/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n一把破梳子\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/3.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n别到时候嫁不出去还赖上我了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/4.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/4.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你什么时候喜欢上她的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n在台上能够感受到你们那种初心\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我觉得两位演员非常幸福，因为这理由中国最顶级的大师级的导演\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/17.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/17.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n但是有一点小遗憾\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n如果能在往后走会更开心\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/20.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/20.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你怎么有脸哭啊你，你大年三十卖闺女\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/28.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/28.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你给铃铛带上吧，你带着她她能活命\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/30.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/30.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n朕便可以昭告天下，到时候朝堂上那些文武百官也不会再说什么\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/59.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/59.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/59.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/59.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我完全脑子懵了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/64.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/64.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/64.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/64.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n当然是一个很大的挑战，因为导师也是人\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/65.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/65.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/65.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/65.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我踏实了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0051/68.mp4"], "audios": ["chsimsv2_dataset/validation/video_0051/68.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0051/68.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0051/68.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这次就拿块金牌回来给你看看\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0052/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0052/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0052/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0052/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我就连最后一搏的机会都没有了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0052/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0052/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0052/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0052/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我到今天都忘不了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0052/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0052/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0052/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0052/12.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n那个时候我们就差拼命了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0052/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0052/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0052/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0052/13.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n明知道这个舞台也许不会让我会怎样\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0052/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0052/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0052/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0052/25.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我相对来说更想尝试静娴\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/1.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n可是我们平常都很恐惧延伸的直接交流\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n生日快乐\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n那我分手了不能找对象吗，你现在那这个跟我说什么事呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n他有时候看着看着节目就会回头看我的眼睛\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n惊了，完全不像她平时的那种感觉\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/25.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n其实是挺为难他的，他一个胖胖的女孩要演一个民国的才女\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/35.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/35.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n因为大家都心服口服，她演技就是最好的，他在车站这场戏里和辣目洋子搭的非常好\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/36.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/36.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n张东官，你为何要这样，我大可会向宗人府解释\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/44.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/44.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n那明早我亲自去御膳房，为皇额娘做一道消暑佳品坐早膳怎么样\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/51.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/51.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/51.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/51.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n格格也不必鞋奴婢，奴婢不过是想救他们罢了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0053/53.mp4"], "audios": ["chsimsv2_dataset/validation/video_0053/53.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0053/53.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0053/53.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你们主演不要找我们茬好不好\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你没钱哈哈哈哈哈哈\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/7.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n建议大家谨慎选择这条道理，因为这条路不是那么好走的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/25.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我久经沙场的到了这感觉特别像囚徒被困在这衣服里\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/31.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n无论是精神还是身体都被掏空了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/46.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/46.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/46.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/46.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n他不是在这一节奏里，都是要再次重拍的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/51.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/51.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/51.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/51.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n然后呢对光其实很不习惯，就会很没有安全感\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/58.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/58.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/58.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/58.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n要在他们的背后画画\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/60.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/60.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/60.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/60.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n她是实打实拿那么大一个盆\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/64.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/64.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/64.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/64.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n最辛苦的应该是我们的主演，我们的男一，啦哥\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/70.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/70.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/70.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/70.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n而且我觉得老师的要求越来越严格，压力还挺大的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/75.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/75.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/75.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/75.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这个是跟我父母对我的教育有关\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/79.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/79.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/79.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/79.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我拍完那场戏之后我就一直在等\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/85.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/85.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/85.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/85.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n所以说怎么说呢，保佑我们吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/89.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/89.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/89.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/89.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我当时说，啊，为什么\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/95.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/95.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/95.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/95.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n看着很心疼\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/110.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/110.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/110.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/110.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n他是五花大绑，把你全部都绑起来\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/120.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/120.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/120.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/120.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我当时心肝颤一下\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/128.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/128.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/128.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/128.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n确实是，很不舒服\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/134.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/134.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/134.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/134.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n就是非常有表演欲，非常非常热爱表演的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/141.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/141.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/141.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/141.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n宫女徐敏慧，在秀坊当差\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/145.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/145.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/145.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/145.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n敏慧啊，你年纪还小，爹想让你进宫\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/164.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/164.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/164.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/164.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们包衣出身，徐家必得有个女儿进宫的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/167.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/167.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/167.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/167.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我就知道这好事根本轮不到我头上\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/168.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/168.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/168.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/168.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n以后出门在外不要与人起争端\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/172.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/172.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/172.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/172.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我再也见不到她了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/174.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/174.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/174.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/174.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n况且，能够帮助别人一把，何乐而不为呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/183.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/183.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/183.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/183.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n徐家已经在宫中死去了一个女儿，不能再出事了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0054/184.mp4"], "audios": ["chsimsv2_dataset/validation/video_0054/184.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0054/184.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0054/184.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我穿不习惯，谢谢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我们要加强国防教育\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n现在能平平安安的洗碗，那是一种福气\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我这叫大智若愚\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/10.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/10.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n那怎么办啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n没想到心眼那么小，破别人财\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n那必须的，我们学校是去年耐克杯亚军呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/19.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n喜欢什么就两天就变了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/21.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/21.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你不起吃包子吗，我以后天天给你送包子\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0055/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0055/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0055/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0055/25.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n放开\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我再说一遍，我只要小迪\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n老夫老妻了下跪很正常，我看你这落枕是好不了了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/14.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/14.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你让我去泰国去找一个秘书\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/15.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n不是不是，我这是从报纸上剪下来的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/23.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/23.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我记性好，我记得住，你说吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/25.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/25.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我会还你钱的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/37.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/37.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这都算少的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/40.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/40.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你能不能到刚才那个人屋子里面去把他护照拿出来\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/50.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/50.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/50.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/50.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n不过你放心，我已经让他发过誓了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/69.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/69.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/69.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/69.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我一直在利用你，你这个傻瓜\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/73.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/73.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/73.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/73.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你千辛万苦这么跟着我就是为了旅游\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/81.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/81.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/81.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/81.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你到泰国到底是来干嘛的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/82.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/82.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/82.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/82.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n放弃油坝，后悔吗\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/88.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/88.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/88.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/88.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n只要老周肯把授权给我，一切一切就都好了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0056/91.mp4"], "audios": ["chsimsv2_dataset/validation/video_0056/91.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0056/91.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0056/91.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n还没进门，就给了一百块\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0057/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0057/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0057/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0057/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n诶，那不行，都预约好了，要不我跟她确认一下\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/video_0057/6.mp4"], "audios": ["chsimsv2_dataset/validation/video_0057/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0057/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0057/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n打扫好了，一共两百\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0057/7.mp4"], "audios": ["chsimsv2_dataset/validation/video_0057/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0057/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0057/7.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这个车位是我先看见的，你上别的地方停一下啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0057/19.mp4"], "audios": ["chsimsv2_dataset/validation/video_0057/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0057/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0057/19.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n他说钥匙放在门垫底下了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0057/24.mp4"], "audios": ["chsimsv2_dataset/validation/video_0057/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0057/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0057/24.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n借你漫画书和CD绝对不是问题\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/5.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n今天好像是我救了您吧\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/8.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n活该，大半夜的没事在那爬来爬去的，不困才怪呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/9.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/9.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n对嘛，洗洗更健康嘛\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/12.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n去去去，别跟我在这捣乱\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/13.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n能让我少操点心不能\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0058/16.mp4"], "audios": ["chsimsv2_dataset/validation/video_0058/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0058/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0058/16.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这是谁干的\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0059/2.mp4"], "audios": ["chsimsv2_dataset/validation/video_0059/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0059/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0059/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n当然漂亮啊，又漂亮又年轻\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0059/3.mp4"], "audios": ["chsimsv2_dataset/validation/video_0059/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0059/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0059/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n不是我说你，为什么找工作非要往大城市跑呢\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0059/11.mp4"], "audios": ["chsimsv2_dataset/validation/video_0059/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0059/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0059/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n新生学前教育白给你们讲了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0060/12.mp4"], "audios": ["chsimsv2_dataset/validation/video_0060/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0060/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0060/12.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你们换个创意好不好，第一个用这种方法的是天才\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_0060/29.mp4"], "audios": ["chsimsv2_dataset/validation/video_0060/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0060/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0060/29.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n可是我已经投喜欢的人了\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0060/38.mp4"], "audios": ["chsimsv2_dataset/validation/video_0060/38.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0060/38.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0060/38.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n看你平常对女生视而不见，没想到不鸣则已一鸣惊人啊\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_0060/39.mp4"], "audios": ["chsimsv2_dataset/validation/video_0060/39.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_0060/39.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_0060/39.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n群众的智慧是无穷的呀。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0001/9.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0001/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0001/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0001/9.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这地方不错啊，这下我总算找到我的自由了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0002/4.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0002/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0002/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0002/4.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我说他怎么念念呼呼的呢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0002/9.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0002/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0002/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0002/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n那你就插上想象的翅膀，任意的飞翔一下吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0002/12.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0002/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0002/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0002/12.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我只是想体验风驰电掣般的速度。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0003/1.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0003/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0003/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0003/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你为啥跟小毛走那么近呢，跟他形影不离的你说。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/csbgs2_0003/19.mp4"], "audios": ["chsimsv2_dataset/validation/csbgs2_0003/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/csbgs2_0003/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/csbgs2_0003/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n关键是想象力，你一定要用心去体会当时的情境。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_xjzw/13.mp4"], "audios": ["chsimsv2_dataset/validation/video_xjzw/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_xjzw/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_xjzw/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n最近真的有一套国际大片，在这里招中国演员呢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/video_xjzw/18.mp4"], "audios": ["chsimsv2_dataset/validation/video_xjzw/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_xjzw/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_xjzw/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n互相给个面子，差不多就得了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_xjzw/38.mp4"], "audios": ["chsimsv2_dataset/validation/video_xjzw/38.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_xjzw/38.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_xjzw/38.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我刚才是客气不想伤害你。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_xjzw/45.mp4"], "audios": ["chsimsv2_dataset/validation/video_xjzw/45.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_xjzw/45.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_xjzw/45.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我就问你什么咸鱼。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/video_xjzw/54.mp4"], "audios": ["chsimsv2_dataset/validation/video_xjzw/54.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/video_xjzw/54.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/video_xjzw/54.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n曾老师，你是俺的粉丝。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0001/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0001/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0001/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0001/4.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我也凌乱了，我需要支援。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0002/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0002/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0002/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0002/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这样子也可以啊，难道说现在已经有这样的高科技，可以按照人的需求来定制男朋友。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0002/11.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0002/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0002/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0002/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n既然你已经完全不相信我了，我说什么都没有用了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0002/20.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0002/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0002/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0002/20.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n现在，你们是真的不能再见面了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0002/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0002/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0002/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0002/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你看看你们，一个个都不在功课，还好有我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0003/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0003/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0003/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0003/9.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n好久不见。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0004/5.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0004/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0004/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0004/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n不出一个星期，这还不如改成洗脚呢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0004/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0004/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0004/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0004/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n那怎么办。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0004/30.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0004/30.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0004/30.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0004/30.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n看看那些客人临走时扫兴的眼神，再想想你老婆分娩时痛苦的表情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0004/31.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0004/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0004/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0004/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n原来为学生服务这么容易。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0005/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0005/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0005/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0005/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n其实也没什么特别的意思，但是如果你愿意嫁给我，我没意见。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0005/26.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0005/26.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0005/26.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0005/26.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n对于我来说，惊喜才刚刚开始。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0006/8.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0006/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0006/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0006/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你没打算要求婚，就当一切都没发生过好嘛。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy3_0008/0.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy3_0008/0.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy3_0008/0.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy3_0008/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n子乔通知曾老师，在3602的抽屉里有红花油。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/8.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n欢迎回到爱情公寓。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\nsorry啊，我不是质疑你们的感情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/24.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/24.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你给我拿瓶喝的去。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/28.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/28.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这不重要，重要的是我没买到而且回来的路上发生了一个小意外。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/33.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/33.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n鉴于本姑娘心情大好，我不生你气了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/46.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/46.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/46.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/46.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我决定了订婚party，就由你来负责啦。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/47.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/47.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/47.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/47.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我是现代人自由解放。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0001/65.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0001/65.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0001/65.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0001/65.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你应该把心思放在学习上，而不是听那种毫无营养的破广播。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0002/2.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0002/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0002/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0002/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n除非他真的打算做爸爸，否则我不会要求他什么的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0003/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0003/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0003/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0003/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n明天就同学聚会啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0004/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0004/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0004/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0004/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n明天我不一定有时间啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0004/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0004/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0004/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0004/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n看，我发现了通往新世界的大门。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0004/18.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0004/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0004/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0004/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n这么点儿时间它还没成形呢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0005/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0005/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0005/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0005/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n昨天买了张贾斯汀比伯的CD。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0005/2.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0005/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0005/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0005/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n从今往后我会尽快的找一份稳定的工作让我的家人更有安全感。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0005/49.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0005/49.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0005/49.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0005/49.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n做了个噩梦，虽然醒了但依旧感觉被一股恶兆笼罩着。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0006/0.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0006/0.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0006/0.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0006/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n只要你陪我玩儿我是不会打搅阿姨和黑脸叔叔搭讪的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0006/14.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0006/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0006/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0006/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你的经历让我想到了非常感人的童话故事。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0006/20.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0006/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0006/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0006/20.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n这个故事告诉我们只要你努力争取第一一定会实现的梦想。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0006/22.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0006/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0006/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0006/22.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我答应帮一菲找男朋友啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0008/5.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0008/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0008/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0008/5.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我也不知道应该怎么办了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0008/19.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0008/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0008/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0008/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我们约她吃饭好几次了，她都不肯赏脸。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0008/27.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0008/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0008/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0008/27.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这是讽刺的嘲笑，通常会伴着尖刺的拖长音，并且用鼻孔对着你。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0008/32.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0008/32.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0008/32.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0008/32.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n呦，你看的挺开的呀，最近心情不错啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0008/40.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0008/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0008/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0008/40.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n特殊时期，犯贱才是这家伙的常态。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0009/35.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0009/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0009/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0009/35.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n呵呵呵既然你吩咐了我一定会办好的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0010/0.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0010/0.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0010/0.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0010/0.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这就是你说的神秘演员啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0010/24.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0010/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0010/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0010/24.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我最擅长演感情戏了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0010/25.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0010/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0010/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0010/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我只不过是在对的时间遇见了对的人罢了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0011/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0011/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0011/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0011/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n缘分来了就是要快刀斩乱麻，这次我不会错过了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0011/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0011/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0011/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0011/4.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我们初次相遇，张伟就带我去吃饭。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0011/6.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0011/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0011/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0011/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n喜烟喜酒喜糖，你不会都没准备吧？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0011/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0011/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0011/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0011/23.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我是你的粉丝小罗啊，微博上面你和我说话的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/2.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你的每部戏我都看，每条微博我都转的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n您太客气了，我以为我只有僵尸粉，没想到还有您这样高质量活跃粉。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/6.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/6.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这个是本店的vip卡，以后要吃甜品随叫随到。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n别误会，不是你想的那样。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/12.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n而且人家还专程从昆山给我带了甜品。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/14.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n贤哥也红过，我什么时候那么随便过。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我答应人家保密呢，就这么告诉你，不太好吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/22.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/22.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n昨天有听众打电话来跟我聊心事，我居然把她给说哭，我突然发现我好有魅力啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/37.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/37.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你说过不会丢下我不管的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/42.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/42.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/42.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/42.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n别以为人家是弱势群体你就可以毫无顾忌。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/43.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/43.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/43.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/43.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n还能够强筋健骨，固本培元。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/44.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/44.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/44.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/44.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们可以出去吃饭啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/49.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/49.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/49.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/49.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你昨天晚上去哪儿了，急死我了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0012/61.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0012/61.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0012/61.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0012/61.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n还以为买不到票看不成了，还好有你在。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0014/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0014/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0014/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0014/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n可是从来都没有人专访过我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0014/8.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0014/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0014/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0014/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你想说的是欣赏吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0014/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0014/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0014/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0014/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我今天怎么老是遇到不公平的事儿。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0014/19.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0014/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0014/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0014/19.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你第一天认识她啊？这就是传说中的英雄气概。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0016/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0016/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0016/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0016/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n接下这顿饭我们发现，这个草裙版的曾老师不仅热情如火而且幽默风趣。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0017/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0017/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0017/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0017/17.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n这可是人家的一份心意啊，不像你除了吃就会吐槽。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0018/6.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0018/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0018/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0018/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n娱乐圈，你当是呼啦圈儿，好玩儿啊？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0018/20.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0018/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0018/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0018/20.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n圣诞夜里不去陪他，还和一个大明星出去吃饭，你不怕他吃醋啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0018/21.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0018/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0018/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0018/21.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n桃花大顺，我看一菲是求过姻缘啦。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0020/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0020/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0020/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0020/1.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n你真的是帅呆了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0023/0.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0023/0.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0023/0.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0023/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们可以去参加达人秀了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy4_0024/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy4_0024/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy4_0024/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy4_0024/4.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n有这样的好事你带带我呀，我这个人最能吃苦了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0001/0.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0001/0.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0001/0.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0001/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n不管是哪个版本，结局还是很浪漫的嘛。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0001/5.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0001/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0001/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0001/5.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n拍结婚照，一定要拍的美美的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0001/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0001/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0001/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0001/9.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我不奢求原谅，我只想在这里对所有被我伤害过的人道歉。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0001/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0001/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0001/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0001/17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n什么大叔，我这么青春活力，叫我大叔。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0002/2.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0002/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0002/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0002/2.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n恋爱怎么能随便谈呢，爱情不应该是很神圣的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0002/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0002/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0002/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0002/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n很少遇见像你一样蠢萌又没有经验的小哥哥，我俩等级差不多，你很适合我呀。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0002/8.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0002/8.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0002/8.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0002/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n唉你忘了医生嘱咐，咖啡对胎儿有影响。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0003/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0003/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0003/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0003/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n其实这是我第一次和男朋友约会，不管做什么我都觉得挺高兴的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0003/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0003/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0003/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0003/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n店长嫌我笨，扣了半个月工资，还让我回来反省。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0004/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0004/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0004/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0004/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n毛茸茸的那种，还可以撒娇卖萌哒。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0005/21.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0005/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0005/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0005/21.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我就说嘛，怀孕太没劲了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0005/22.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0005/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0005/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0005/22.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n别做梦了，你就是个备胎而已。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0005/24.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0005/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0005/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0005/24.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n没什么可说的，你问问他，他玩过多少男人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0005/25.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0005/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0005/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0005/25.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n听说你成功的解决了两对情侣纠纷，我就知道我没看错人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0005/33.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0005/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0005/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0005/33.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我也不会当真，我只是想打击一下这个备胎的嚣张气焰。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0006/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0006/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0006/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0006/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n幸福来的也太突然了吧！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0006/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0006/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0006/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0006/7.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n千万不要让孕妇不开心。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0006/28.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0006/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0006/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0006/28.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你是去赌博了，还在外面养了别的女人？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0006/35.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0006/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0006/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0006/35.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我和小贤感情好着呢，您别操心。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0007/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0007/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0007/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0007/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n大半夜鬼哭狼嚎的，你简直是个杀马特。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0009/15.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0009/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0009/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0009/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n要是你知道别人心里想什么，早该追到大力了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0009/37.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0009/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0009/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0009/37.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n赵海棠你不要太过分。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0009/40.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0009/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0009/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0009/40.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n哎呀你别听他瞎说，你变成什么样我都喜欢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0010/11.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0010/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0010/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0010/11.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n桌子都拍坏了还是没调解成功。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0010/13.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0010/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0010/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0010/13.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我特别换的这张漂亮的桌子，来让大家感受一下大自然，去去戾气。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0010/15.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0010/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0010/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0010/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n我觉得写得挺好的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0010/25.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0010/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0010/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0010/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n感谢你帮我调解案。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0010/27.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0010/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0010/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0010/27.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你本来就很优秀。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n要是能遇到，有文采又长的帅的，就更好了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我的目标是实习结束前敲满一百次。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/13.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n实在是太残暴了，光热身让我们跑个10公里，跑完命都没了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/16.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n大白天在这里泡脚喝茶，真当自己是老大爷。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这就是你想要的成就感，继续努力吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/28.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/28.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n我家猫也最喜欢纸盒了，谢谢你把我的猫救出来。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/31.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/31.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n没用的，有些事情不是努力就能改变的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/36.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/36.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你们怎么来啦。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/39.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/39.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/39.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/39.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我们这么努力，但凡有点天赋也该有成功的迹象了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/40.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/40.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/40.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/40.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n现在一点儿迹象都没有，感觉像是在浪费时间。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/41.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/41.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n你们真的甘心向生活妥协吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0011/43.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0011/43.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0011/43.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0011/43.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你以为满足这些无理要求，他们就会见好就收适可而止嘛。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0013/11.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0013/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0013/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0013/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n玩够了没有，赶紧放曾小贤出去。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0013/18.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0013/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0013/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0013/18.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n真正留下的都是最美好的东西。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0013/28.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0013/28.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0013/28.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0013/28.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n下课生龙活虎，上课倒头就睡，都给我起来。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0014/15.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0014/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0014/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0014/15.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n我们在这家餐厅做试调，你来尝尝。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0014/24.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0014/24.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0014/24.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0014/24.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我的目标不仅是一个偶像，我还想成为一个好演员。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0014/31.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0014/31.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0014/31.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0014/31.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我才不是学渣，我想一个人呆会。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0015/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0015/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0015/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0015/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n每次约会都写在了报告上，满满的都是回忆啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0015/15.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0015/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0015/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0015/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n终极求生欲可以来了，既要把戏演完，又不能让大力难堪。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0015/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0015/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0015/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0015/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n太寒酸了吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/6.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/6.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n大家能不能多说一点礼貌，比如说请您谢谢不客气之类的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n一菲姐，你温柔一点呀。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/29.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/29.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n各位朋友，相聚的时光总是很短暂。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/35.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/35.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/35.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/35.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我答应过曾老师，同一屋檐下我们要守望相助。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/36.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/36.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/36.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/36.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你怎么知道？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0016/45.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0016/45.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0016/45.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0016/45.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n这种东西十拿九稳了，你放心去吧，不用担心。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0017/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0017/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0017/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0017/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n张律师要是知道你为了她来学撒娇一定感动死了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0017/22.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0017/22.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0017/22.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0017/22.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n好巧啊，我正好下来买点东西。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0017/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0017/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0017/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0017/23.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n真不知道张择端当时是以怎样的耐心画出这样的鸿篇巨制。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0017/27.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0017/27.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0017/27.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0017/27.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n经过我一晚上努力，我终于想明白一件事情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0017/29.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0017/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0017/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0017/29.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n那现在怎么办，游泳去日本。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0018/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0018/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0018/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0018/7.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n就算我有黑榴莲卡，我也不能让机场出太阳啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0019/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0019/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0019/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0019/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n我们先去四处湖边为情侣们朗诵情书，然后去牵手桥给情侣们唱歌伴舞。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0020/7.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0020/7.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0020/7.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0020/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我还有创意情书，哼哼。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0020/14.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0020/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0020/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0020/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我曾经想带她去看爱琴海，被拒了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0020/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0020/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0020/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0020/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你真问对人了，要不姐教你两招。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0020/18.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0020/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0020/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0020/18.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n好浪漫原来他这么喜欢我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0020/34.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0020/34.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0020/34.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0020/34.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你两该不会是在耍我吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0021/21.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0021/21.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0021/21.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0021/21.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n不要谦虚啦。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0022/1.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0022/1.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0022/1.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0022/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n很多网友开始质疑比赛的公正。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0022/13.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0022/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0022/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0022/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n也不敢帮你声明。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0022/14.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0022/14.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0022/14.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0022/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n你脑子冲马桶了啊！\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0022/16.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0022/16.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0022/16.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0022/16.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n当初叫你退的时候你不退，非要闹出这么多事才肯退。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0022/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0022/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0022/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0022/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你饶了我吧，饶了我吧，救命啊。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0023/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0023/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0023/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0023/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你们是在拍项尚的一百种死法吗？\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0024/5.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0024/5.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0024/5.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0024/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n所以你们就围绕小小布的便便聊了两个小时，我从来就没有见过像你们这么无聊的人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0025/11.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0025/11.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0025/11.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0025/11.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n太乌龙了，我都不想回忆。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0025/12.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0025/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0025/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0025/12.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n大家这么多年朋友嘛，我不想伤了和气，呵呵。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0026/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0026/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0026/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0026/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n那个宝宝好可爱。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0026/18.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0026/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0026/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0026/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我终于明白你俩的意思了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0027/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0027/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0027/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0027/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n你们谁帮我搞定茶会，我就优先考虑谁。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0027/25.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0027/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0027/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0027/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n那对培养孩子的冒险精神倒是有帮助。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0027/33.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0027/33.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0027/33.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0027/33.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n只要提前一天晚上带着咖喱酱去排队就一定能免费吃到。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0028/37.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0028/37.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0028/37.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0028/37.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n怕你瞧不起我。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0028/41.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0028/41.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0028/41.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0028/41.pt"], "task": "sentiment_cls", "class_label": "strongly_negative"}
{"problem": "<video>\n<audio>\n今天从医院回来，他忽然看到一个配音比赛在报名，只要拿到冠军，就可以见到传说中的配音大神。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/3.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/3.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/3.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n医生说少吃辛辣食物，酒也不行，馋的话就吃个水果吧。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/4.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/4.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/4.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这是我小学作文比赛的奖状，是我文学道路上的第一个荣誉。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n小小布以后再写作道路上的表现一定会让你们瞠目结舌的。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n我维护社会长治久安，对每个人都十二分实诚，简称长安十二实诚。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n要不我们帮帮他吧，早点成全了她，世界就清净了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/20.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/20.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n这是我发明的一道创意料理天下绝无他人知晓。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/23.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/23.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/23.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/23.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n大家都是守护者，人人平等不分先后，谁在吵，取消他资格。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0029/29.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0029/29.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0029/29.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0029/29.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n不合适吧，我都结婚了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0030/10.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0030/10.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0030/10.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0030/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n一下午就把一本书的题都做出来了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0030/13.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0030/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0030/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0030/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n好吧我说实话，瓦无力为了爱情私奔了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0030/17.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0030/17.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0030/17.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0030/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n火辣辣的我喜欢。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/9.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/9.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/9.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n现在老龄化严重以后的小夫妻不仅要养孩子还要养老。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/12.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/12.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/12.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n很多事情我们女生能做就不用靠男人。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/18.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/18.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/18.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/18.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n有没有一种我好厉害的感觉。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/20.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/20.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/20.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/20.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n关键是你妈被你爸的才华所吸引，我们一见钟情。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/25.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/25.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/25.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n因为你喜欢写作，你想向你父母证明你自己。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/54.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/54.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/54.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/54.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n男人都是大猪蹄子，再不回来，你老婆可要单飞喽。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0031/59.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0031/59.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0031/59.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0031/59.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n快乐的时光过得飞快。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0033/19.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0033/19.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0033/19.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0033/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\n开心嘛，我要买下这一整套沙发。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "highly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0034/13.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0034/13.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0034/13.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0034/13.pt"], "task": "sentiment_cls", "class_label": "strongly_positive"}
{"problem": "<video>\n<audio>\n对啊，不光婚礼结束了，我们这剧也结束了。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "neutral", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0036/2.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0036/2.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0036/2.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0036/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n所谓江湖，一诺千金，落子无悔，六亲不认。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly negative", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0036/6.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0036/6.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0036/6.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0036/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"problem": "<video>\n<audio>\n你说我不专业，我说你乱来。\nGiven the following utterance from a segmented video clip, determine its sentiment. Reply with exactly one of: highly positive, weakly positive, neutral, weakly negative, highly negative.", "answer": "weakly positive", "images": [], "videos": ["chsimsv2_dataset/validation/aqgy5_0036/15.mp4"], "audios": ["chsimsv2_dataset/validation/aqgy5_0036/15.wav"], "dataset": "chsimsv2", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/chsimsv2_dataset/validation/aqgy5_0036/15.pt"], "ext_audio_feats": ["opensmile/chsimsv2_dataset/validation/aqgy5_0036/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"problem": "<video>\n<audio>\nOh my God, he's lost it. He's totally lost it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia0_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia0_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia0_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia0_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia0_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia0_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia0_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia0_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOr! Or, we could go to the bank, close our accounts and cut them off at the source.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou're a genius!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAww, man, now we won't be bank buddies!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNow, there's two reasons.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOhh, you guys, remember that cute client I told you about? I bit him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOn the touchy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI-I'm sorry, but the moment I touch him, I just wanna throw out my old oath and take a new, dirty one.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell, next time your massaging him, you should try and distract yourself.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah! Yeah! Yeah! Like-like when I'm doing something exciting and I don't wanna get\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThank you, Joey.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo-no, thank you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey Estelle, listen\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell! Well! Well! Joey Tribbiani! So you came back huh? They\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat are you talkin' about? I never left you! You've always been my agent!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nReally?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh well, no harm, no foul.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, you guys free tonight?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nTonight? You-you didn't say it was going to be at nighttime.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYes? Yes?! How can I help you?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, we were…we were just looking around.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh-oh, you're-you're fellow scholars.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat exactly were you looking for, hmm?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPerhaps,  perhaps Dr. Chester Stock's musings on the Smiledon Californicus?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUhh….\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh… Ah…Get out of here!  Uh, meeting someone? Or-or are you just here to brush up on Marion's views on evolution?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nUh, actually I find Marion's views far too progressionist.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI find Marion's views far too progressionist.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm sorry, who are you?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI'm a professor here uh, Ross…Geller.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss Geller, why do I know that name? It's uh—Wait!  Did you write this?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYes! You're the person who checked out my book?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nY'know, you look nothing like I would've thought. You're…you're so young.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell I uh, I skipped forth grade.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou had no right to tell me you ever had feelings for me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI was doing great with Julie before I found out about you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey, I was doin' great before I found out about you. You think it's easy for me to see you with Julie?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThe point is I...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI don't need this right now, OK.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nIt, it's too late, I'm with somebody else, I'm joy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThis ship has sailed.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAlright, fine, you go ahead and you do that, alright Ross.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nFine.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nCause I don't need your stupid ship.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nGood.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nGood.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh, it's so romantic to send people off on their honeymoon.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nY'know, Monica and Chandler are married. Ross and Rachel are having a baby. Maybe you and I should do something.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll in good time my love.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll in good time.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh shoot!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI left my guitar in their apartment.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWell you can let me in later.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't have a key, they took mine to give to you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?! They took mine to give to you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhy would they take away our keys?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWow! It looks like we got a lot of good stuff.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh we did, but my mom got us the greatest gift of all.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nA\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. She's going to live with us for eight weeks.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYes! She's gonna help us take care of the baby! Woo-hoo.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat—You're not serious.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI mean she's a very nice woman, but there is no way we can take eight weeks of her.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nShe'll drive us totally crazy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nHi Ross!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHi roomie!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey! What did you decide to do about the movie?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's not like it's porn!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis is a serious, legitimate movie.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd the nudity is really important to the story.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat's what you say about porn.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou're right. Maybe I shouldn't even go on the call back.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo! No you should! A lot of major actors do nude scenes! I mean, the chance to star in a movie? Come on!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWell that's true.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd I am only naked in one scene.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPlus it sounds really great.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy character's catholic and he falls in love with this Jewish girl.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWho run away together and they get caught in this big rainstorm.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo we go into this barn and undress each other and hold each other.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's really sweet and-and tender.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey, what's up?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNothing, Monica and I had a stupid fight.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut you're still moving in together, right? Because my ad came out today.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n\"Wanted. Female roommate, non-smoker, non-ugly.\" Nice!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just figured y'know, after living with you it'd be an interesting change of pace to have a female roommate, y'know?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSomeone I can learn from, someone-someone who's different than me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd what's more different than me. A guy who's\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo where are we going next?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis witness won't return my calls so we're gonna see if we can surprise him coming home.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSur-surprise him? We're not, we're not gonna make anybody mad are we?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nCome on man!  Listen so uh, are you gonna squeeze the perps shoes a little bit before he lawyers up?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nIt's a witness not a perp. And no one talks like that!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah, no one talks like that!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh what? Like your Mr. Cop!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey, I'm more cop than you two!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHow do you figure that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHello! I'm in the front seat, okay? I'm Gary's partner!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI guess so.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHere you go. Thank you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWait, Rach! Where's the other one?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh what, you-you want both of them?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nRachel Karen Green, where's the other earring?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay, okay, okay, look, just don't freak out, but I kinda lost it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI know it's in the apartment, but I\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, what am I going to tell Monica? She wants to wear them tonight!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nTell her to wear her own earrings.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThese\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNooo! Nooooo! You lent me Monica's earrings?! I'm not allowed to borrow her stuff!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhy not?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBecause I lose her stuff!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nUh Phoebe, can I see you for a second?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat's going on?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nChandler's gone again!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh my God! Why would you play hide and seek with someone you know is a flight risk?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOkay. You ready to push again?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI already had a baby. Leave me alone.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay, okay, come on, you can do it. You can do it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nLittle Leslie is here!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWe got another one!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh my God, I can't believe I have two-two children.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHow scary is that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nCome on little Chandler, it's time to be born. Come on little Chandler! Come on!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAll right, he's coming. He's coming!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey, where's his thing?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nChandler's a girl!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh God, kindergarten flashback.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nThey musta read the sonogram wrong.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nCause they, 'cause they thought it was a boy, but Chandler's a girl!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nChandler's a girl!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay, keep saying it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAm I too late?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo-no ah, everything's okay. Everybody's healthy there's 30 fingers and 30 toes.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWe have our babies?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt20.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt20.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, we have our babies.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt21.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt21.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey Toby!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey Bobby.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's Bob actually. Hey, you work up here, can you tell me where this Chandler\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUhh yeah. Yeah, it's  right, right down there.  Right there, yeah. Can I ask you why?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI want to talk to that bastard, see what his problem is.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay Bob listen uhh, I'm the reason you didn't get the job up here.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nToby don't.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBob!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nToby! I'm not gonna let you cover for him. Anything you say right now will just get me more upset with Chandler!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThank you.  Oh Joey and look at this crib! It's so cute!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI know! I found it on the street.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAre you serious—Really?! It's in such good condition.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWow! Whoa-whoa what's under the covers?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI don't know.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's moving.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nEw.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nIt's still——It's got a tail! Get it out of here! Get it out of here!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOoh! Ah! Okay!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWell, I went over to Kyle's last night to pick up a few things and we got to reminiscing\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nwe talked through most of the night and we realized that the reason we were so angry at each other was because there are still feelings there. So\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh just say it Kyle!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWe're gonna give it another try.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat about her whining and her constant need for attention?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI'm gonna work on that.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh right, because you're so capable of change.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nY'know, he hums when he pees!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI do know.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt makes him miss the bowl, but whatever.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nWe're so sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nThat's all right, we-we don't need you. In fact, hey I'm over it already.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah, and y'know what? I don't give a tiny rat's ass.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah, we're gonna go.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm sorry. Ugh, Pheebs, you were, you were right about her. Y'know, she\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh. Y'know, he hums while he does other stuff to.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, we're better off without them.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAnd y'know, even if they break up again, you'd better not let him in your sad men's club!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nDivorced men's club.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhy isn't that valet back with my Porsche?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nMaybe because you've got the keys?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThis is totally your fault!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nMy fault?! You threatened the judge!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell, you ripped the paper out of the court reporter's machine!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nPhoebe!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHave you seen Chandler?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo! Why?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe woman from the museum called and said that there was a cancellation and that we could move up our wedding and Chandler heard!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nHow bad is this?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWell for the regular guy, it's bad, but Chandler, Oh dear God!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI know! I know! And he totally freaked out and I can't find him anywhere!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWhat are you gonna do?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I'm never gonna listen to you again, that's for sure!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\n\"Y'know, harm can it do if you go and put your name down?\"\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRachel said that!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell Rachel's not here!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nCome on, come on.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDamnit, damnit, damnit, damnit.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThis is all your fault.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThis is supposed to be, like, the greatest day of my life, y'know?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nMy son is being born, and I should be in there, you know, instead of stuck in a closet with you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThe woman I love is having a baby today. I've been waiting for this just as much as you have.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nNo no no, believe me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nNo one has been waiting for this as much as I have, ok?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAnd you know what the funny thing is?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen this day is over, you get to go home with the baby, ok?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhere does that leave me?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYou get to be the baby's father.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEveryone knows who you are.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWho am I?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThere's Mother's Day, there's Father's Day, there's no... Lesbian Lover Day.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nEvery day is Lesbian Lover Day.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis is so great.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou wanna explain that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, well, 'cause when I was growing up, you know my dad left, and my mother died, and my stepfather went to jail, so I barely had enough pieces of parents to make one whole one.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAnd here's this little baby who has like three whole parents who care about it so much that they're fighting over who gets to love it the most.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAnd it's not even born yet.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt20.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt20.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nIt's just, it's just the luckiest baby in the whole world.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt21.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt21.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI'm sorry, you were fighting.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt22.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt22.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt22.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt22.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOkay, it's a typical New York City apartment. Two girls are just hanging out.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, how are you doing Kelly?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm doing just fine! God, Tiffany, you smell so great!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nIt's my new perfume. Why don't you come closer where you can\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, y'know Joey, you are sick!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nThis is disgusting!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nI'm not reading this!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nWhat?! Wait-wait-wait! The handsome man was about to enter!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nAll right, I'll give you this, Mr. Peanut is a better dresser.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean he's got the monocle, he's got the top hat...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know he's gay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just wanna clarify this: are you outing Mr. Peanut?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDanielle! Hi! Uh- everybody, this is Danielle, Danielle, everybody.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi. Hi.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat are you doing here?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is it?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat she left you?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nThat she likes women?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat she left you for another woman that likes women?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLittle louder, okay, I think there's a man on the twelfth floor in a coma that didn't quite hear you...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThen what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy first time with Carol was...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt was my\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWith Carol?  Oh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nSo in your whole life, you've only been with one——oh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhoah, boy, hockey was a big mistake! There was a whole bunch of stuff we could've done tonight!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHi. Where is everybody?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, it's already closed, Chris gave me the keys to lock up-what is wrong?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nMy marriage, I think my marriage is um, is kinda over.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh no! Why?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\n'Cause Carol's a lesbian.  And, and I'm not one. And apparently it's not a mix and match situation.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh my God! I don't believe it! Oh, you poor bunny.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI'm an idiot.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nI mean shoulda seen it, I mean Carol and I'd be out and she'd, she'd see some beautiful woman, and, and she'd be Ross y'know look at her, and I'd think, God, my wife is cool!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAw! Hey, do you think that Susan person is her lover?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, now I do!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI'm sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nSeven years.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI mean we've been together seven years, she's the only woman who's ever loved me, and the only woman I've-I've ever....\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAw, God Ross. Oh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI'll do it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo you won't.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook he knows he did a terrible thing and I believe him, he's sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut,  you've got one more apology to make, all right, you've got to apologize to Mary-Angela.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, absolutely!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAll right.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou've got it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCookie, now you can punch him!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhat?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nAll right, that's it, I quit.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhat? I didn't say anything.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah, but this  isn't the face of a person who trusts a person.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOk, this  is the face of a person who, you know, doesn't trust a person.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI'm sorry. I'm sorry, Phoebe. It's just a little shorter than what we had discussed.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWould you relax? I know what I am doing. This is how he wears it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nJulie.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nJody!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYou were with Julie?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, when it started I was just trying to be nice to her because she was my brother's girlfriend.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd then, one thing led to another and, before I knew it, we were...shopping.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh. Oh my God.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHoney, wait. We only did it once. It didn't mean anything to me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah, right.  Sure!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nReally, Rachel, I was thinking of you the whole time.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nLook, I'm sorry, all right.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI never meant for you to find out!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh, please, you wanted to get caught.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThat is not true!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh, so you just sort of happened to leave it in here?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nDid it ever occur to you that I might just be that stupid?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOk, Monica. I just have to know one thing. Did you go with her to\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI can't say.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhy?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhy not?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI can't say because he's famous.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh my God, who is it?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nPhoebe, come on, you have to tell us.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay, okay. It's James Brolin. James Brolin is the father of my baby.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAs in Barbara Streisand's husband James Brolin?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?! Well he never said that to me!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nIn\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, this life! Oh okay no, Chandler's is worse.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nMan, it must be so cool remembering stuff like that! I don't have any past life memories.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOf course you don't sweetie. You're brand new.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know Monica's worst Thanksgiving.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, let's not tell this story.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh, come on!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh no, I know! I know! It's the one where Joey got Monica's turkey stuck on his head!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat?! Joey got a turkey stuck on his head?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey, it's not like it sounds.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWendy, we had a deal!  Yeah, you promised! Wendy! Wendy! Wendy!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWho was that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWendy bailed. I have no waitress.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh... that's too bad. Bye bye.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nTen dollars an hour.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTwelve dollars an hour.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMon. I wish I could, but I've made plans to walk around.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know, Rachel, when you ran out of your wedding, I was there for you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI put a roof over your head, and if that means nothing to you...  twenty dollars an hour.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nDone.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThe reactor's gonna blow in three seconds, we're never gonna make it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nYou've got to get out of here! Save yourself!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nNo! I won't leave you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nDon't worry about me, I'm a robot! I'm just a machine!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNo you're not! Not to me!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh my God.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI am\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, you're great! Okay, let's take it from\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNo, I mean I was really acting my ass off.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah, I thought I was pretty good too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh yeah, you're solid. Yeah, you're just no me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know what? I think that's enough for now. Yeah. I don't want to be over rehearsed.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFine!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI'll do it without you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI don't need you or anybody else!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI'm gonna make it on my own!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYou'll see!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYou'll\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI can't believe that Ross is gone. It is just so sad.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI didn't know Ross and you were so close.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWe weren't but we had one class together. He was such a great    guy and he talked so passionately about science. I always remembered him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI'm sure that would mean a lot to him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd if heaven has a    door, I'm sure he's pressing his ear up against it and listening intently.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI thought so many times about calling him and asking him out.    I guess I really missed my chance.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut you didn't!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI'm still alive!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nKori, I know this is a big surprise for you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nIt's a long story but the things    you just said really made my day!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI mean, the fact that you are here means more    to me than if this room were filled with people!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou sick freak, who does that? I can't believe I had a crush on    you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nDid you hear that? Kori Weston had a crush on me!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWe'll do a quick check.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo, eight days late huh?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou must be a little uncomfortable.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEh, just a tad.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou're about 80 percent effaced, so you're on your way.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt still could last a little while longer.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf you're anxious there are a few ways to help things along.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDo them!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nActually, they're things you can do. Just some home remedies, but in my experience I've found that some of them are quite effective.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, we are ready to try anything.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, there's an herbal tea you can drink.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is wrong with Emma?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia33_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia33_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia33_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia33_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh she misunderstood, she thought she was moving to Tulsa.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia33_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia33_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia33_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia33_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnytime you're ready.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, ok, here we go.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, where am I talking to, here?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, uh, well, there is one way that seems to offer a certain acoustical advantage, but...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJust aim for the bump.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, ok, ok, ok, here goes.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know, I, you know, can't do this.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nUh, this is too weird.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nI feel stupid.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nSo don't do it, it's fine. You don't have to do it just because Susan does it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHello, baby. Hello, hello.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, hi. It's Mark.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia35_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia35_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia35_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia35_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEasy. Easy. You have to go to the hospital. Okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOkay, I do.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI really do.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, I'm gonna get your coat and then I'll-I'll put you in a cab.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay. Oh wait, wait-wait, you're not gonna come with me?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOf course I am. I just have to make a call.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThank you.  Oww!!!! God!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?! I wh-, what's wrong?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI'm sorry, I just can't go to the hospital lookin' like this.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nPete Becker is circling the ring now. It looks like, he's just trying to feel him out. Oh, Bruiser is just...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRun! Run you crazy, rich freak!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOh, I can't watch this.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nCheck it out, he's winning!  Pete's winning!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nReally?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo-o-o!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nUh-oh, Bruiser has Becker on the canvas and is going for his favourite area.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOh! Oh!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nWait, if that's his favourite area, why is he being so mean to it?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, this is ironic.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOf your last two boyfriends, Richard didn't want to have kids, and from the looks of it, now Pete can't.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDude, you don't have to brag! We got nothing here!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia38_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia38_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia38_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia38_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nShould we tell Rachel there's an empty private room right next door to hers?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe could, or we can have sex in it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWell let me think about that, while I remove my pants!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI thought I was a complete idiot.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey, I'm with you. He even asked me if I thought you'd go out with him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Oh, I think I'm gonna throw up a little bit. What did you say?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nI said no.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat? I…I just figured since you're pregnant you're not gonna be seeing people.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay Joey, first of all Kash Ford is not people. Second of all, what did he say when you told him I was pregnant?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI didn't tell him. I didn't know if you were telling people. This is back when I thought Kash was still people.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGood-good, don't tell him. Don't tell him. Just have him call me okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nRach look, I really don't think that's such a great\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOkay, you go do it! I'll come back to that set! I'll meet more actors! I'll meet 'em all!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOhh, here you are. I was looking for you before. Joshua's gone so you and Emily are free to go.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat's okay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nShe's still in there enjoying her fake party and uh, it's too late to do any of the things I had planned, so\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh! Ah! I forgot my jacket!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYou tell them to wait!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay. Wait! Wait!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEmily.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh no-no-no! Oh-no!  No! No! Emily!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey. Call me when you get there. Okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia43_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia43_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia43_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia43_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia43_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia43_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia43_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia43_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know. You're the guy who wouldn't chip in for the handyman.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNevermind!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nNo, I-I actually thought it was unfair the way everyone reacted. I mean you had just moved in.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJen.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJen, I know this may sound a little… But uh, would you maybe wanna grab a cup of coffee sometime, or\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSure! That would be nice.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUmm?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! My number is on there.  Give me a call.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI will give you a call.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'll see you later.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI forgot my paper.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHere we go. Okay, brace yourselves.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOw!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nAren't you gonna go?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. Thank you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, Rachel never pees in public restrooms.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, they never have any paper in there y'know. So my rule is 'no tissue, no tuschy.'  Well, if everybody's going.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, y'know what don't close it  'cause the... keys...are in there.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, no-no-no-no-no-no!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWhat's going on?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy lighter's in there!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI promise.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAlthough, don't feel like you can't visit.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, is, is, is Chandler here?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, no he's not.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou guys, Joey just saw Janice kissing her ex-husband.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?  So what are you going to do? I mean how, how are you going to tell Chandler?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, I was thinking about that and I, I think the best way would be, to not.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, you can't keep this to yourself, if you know about this, you have to tell him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt'll kill him. I mean it'll, it'll just kill him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWell, you could wait 'til I go to the dentist, maybe\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, what are you doing here?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, oh just ah, I was just wondering, when you and I split up, did you get the tape that was half the last episode of\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh yeah, but now it's Susan and me in Mexico and the hostages coming home.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere's Ben?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHe's sleeping.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAhh.  Ooh, is this a ah, is this a bad time?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nUmm, yeah, actually, Susan's gonna be home any minute, it's kinda an anniversary.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh! I thought you guys got married in uh, January?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nIt's not that kind of anniversary.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh!  Oh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nSooo!! Anyway...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere are we gonna find a tiny little hat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, oh, oh, I'll get 'Rainy Day Bear'!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nBecause he'll know what to do?  Oh my God, you're a genius!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh God, oh God, it's sowed on though.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nGive it. Give it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh, it's just like a bloodbath in here today.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nPlease. This is so your fault.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHow, how is this my fault?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nLook, Carol never threw me out of a room before you came along.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah? Well, there's a lot of things Carol never did before I came along.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey, hey, ok, all right, that's it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nGet in here.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nCome on.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy god, you guys, I don't believe you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThere are children coming into the world in this very building and your negative fighting noises are not the first thing they should be hearing.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nSo just stop all the yelling, just stop it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah, Susan.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDon't make me do this again, I don't like my voice like this.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOk, who wants to hear something ironic?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Here it is!  Ooh, Joey! Why did you sign it, \"Son of a bitch?\"\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI didn't do that! Who would've done that?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nSon of a bitch!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay, maybe ask this guy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, did I not mention? Carl is a guy I hired to be my identical twin for a medical research project.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know sometimes the good ideas are just right in front of you, aren't they?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOkay, I know it sounds crazy, but I think it might work. Y'know? The only problem is, Carl's acting is\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, he's the reason I didn't get that big\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, uh can I get a little piece of that cake?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPizza!! We like Pizza!! Get out!!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey Monica, there's a customer who wants to complement the chef, should I let him in?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSure, I love this part!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nCome on in.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally? In the moment, I really wanted to kiss you too. In the moment.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nIn the moment, yeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut only in the moment. So do ya wanna kiss again?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSure, New Year's Eve is only two weeks away. Can you wait?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMe neither.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n3, 2,\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, you don't have to count down every time we kiss.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUh, yeah, okay. Except I sorta felt like I needed a couple of seconds to get ready.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAlright. Phoebe?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, okay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf I were omnipotent for a day, I would want, um, world peace, no more hunger, good things for the rain-forest...And bigger boobs!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah, see.. you took mine. Chandler, what about you?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, if I were omnipotent for a day, I'd.. make myself omnipotent forever.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSee, there's always one guy.  \"If I had a wish, I'd wish for three more wishes.\"\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nHey Joey. Hi. Hey, buddy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, Joey, what would you do if you were omnipotent?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nProbably kill myself!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\n..Excuse me?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey, if Little Joey's dead, then I got no reason to live!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nJoey, uh-\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYou\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia55_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia55_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia55_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia55_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nJoey, onstage!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell can you at least stay to the end of the play?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI mean, I'll go to the airport with ya, I-I wanna say good bye.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhere are you Vic?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFlight's in an hour. I-I gotta go.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nVic! Vic!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nIn a minute!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nSo this is it? Victor?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah, I guess it is.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nListen, I ah, I gotta say good bye, and-and I gotta say it quick 'cause this is killing me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOne thing you gotta know, is that I will never forget you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut, you've got things you have to do now, and so do I.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAnd so… I'm gonna get on this spaceship,  and I'm gonna go to Blargon 7 in search of alternative fuels.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut when I return, 200 years from now, you'll be long gone.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nBut I won't have aged at all.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo you tell your great-great-granddaughter to look me up, because Adrienne, baby, I'm gonna want to meet her.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo long, Vic!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNooo Way! The most romantic song ever is\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSee, I-I think that one that Elton John wrote for, um, that guy on\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat song was that, Pheebs?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi Monica!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey Mon!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey Mon!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh my God, has she slept at all?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNope.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, it's been three nights in a row.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, she finally stopped crying yesterday, but then she found one of Richard's cigar butts out on the terrace, so.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, okay that explains it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI got a call at two in the morning, but all I could hear was, like, this high squeaky sound, so I thought okay its like a mouse or a opossum.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut then I realized where would a mouse or a opossum get the money to make the phone call.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSo uh, man, are you gonna go to the play with me tonight?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know what, I don't know how comfortable I am going to see how hot the sex is between some guy and your girlfriend.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nYeah, I know but\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh no-no-no, I'm there.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey Mon! Want some pancakes?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou made pancakes?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYep! Grab a plate.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNo-no, stay right there.  Gettin' closer.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, okay, but don't worry, because we also have cereals, muffins, waffles,\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nListen also we're uh, we're watching the game here Saturday night, if people want to come over.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYes, if the foxhole was lined with sandwiches.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, hero sandwiches.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell you all know that I'm a pacifist so I'm not interested in war in any way.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen the revolution comes, I will have to destroy you all.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNot you Joey.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh my good God.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey! Continuing the countdown of your favorite meals. Tonight, No. 3, macaroni and cheese with cut up hot dogs.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, you have done enough! Okay? You have to stop this now.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI will! But not tonight. For dinner music, I thought we could listen to that tape you made me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, the mixed tape.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe Way You Look Tonight\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou are just the sweetest.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey, guess what I'm doing tonight.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm checking out the restaurant with Pete.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh, Monica, I am so excited for you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSo honey this uh, this threesome thing umm, I mean how-how are you gonna start to find\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOoh, actually I've been making a list of all the women I know who might be into doing this!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh.  Wow!  Huh.  Boy!  Well, someone's been doing their homework.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah. Ooh, and I know Gail Rosten is in there twice, but she is so\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I know.  Y'know, just-just talking about it is getting me kinda\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, me too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nand then, we could've gone from the ceremony to the reception with you in the sidecar!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nRoss, it just wouldn't have been feasible.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut having a dove place the ring on your finger would've been no problem?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nIt was really fun being married to you tonight.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah! And! And, it was the easiest 400 bucks I've ever made.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOkay Ross, can I uh, can I ask you something?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat proposal, at the planetarium\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know, I know it was stupid.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAre you kidding?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWith the, with the lilies, and-and the song, and the stars!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nIt was…really wonderful!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nDid you just make that up?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo, actually I thought about it when, when we were going out.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's how I imagined I uh, I would ask you to marry me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, that would've been very hard to say no too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's a good thing I didn't do it, because it sounds like it would've been a very expensive wedding.  Okay, good night\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGoodnight\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEven if the sidecar had a windscreen so your hair wouldn't get messed up?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI will think about it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat's all I'm askin'\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt20.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt20.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou guys! It was bananas, cream, and beef! I-I just cannot believe that you ate that so that I wouldn't feel bad!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell actually, I-I didn't eat mine. It's still in the bathroom.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNo it isn't, I ate that.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell we left ours in Monica's bedroom.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNope, got it and I got yours  too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd that's I'm so glad… there's no problem.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThat's fine, actually I'm on the hiring committee, so there'll be at least one friendly face.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh! That's great!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou know, Junior Miss is where I started. Oh, I had to sleep with the\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo-ho-ho!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, no-no-no-no-no, don't you worry, I'm sure with your qualifications you won't need to sleep with some guy to get that job.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAlthough, I might need some convincing.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I, umm\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nKidding! God, I feel wild today!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh my God! Chandler just left though!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah but, maybe it's not what we think. Maybe it's tell Monica I'm sorry I…drank the last of the milk.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOr maybe he-he was writing to tell her that-that he's changed his name, y'know? Tell Monica I'm sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI think it means he freaked out and left!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nDon't be so negative! Good God! Isn't it possible that Sorry is sitting in there  right now?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOkay. Phoebe, I-I think Ross is right. What are we gonna do?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nLook—Okay, I'm just gonna—I'm gonna have to go find him and bring him back!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou-you make sure Monica does not find out, okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI will, I will find him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHi! Hey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nDo you guys know any cute guys?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, of course I do! My good friend Joey over here.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, I'm sorry. Thank you Chandler.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAnyway, there's this big charity ball this weekend and Ralph Lauren bought a table, so I kinda have to go\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat's the charity?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't know, something either trees or disease—Ralph mumbles a lot.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDoes Ralph mumble when you're not paying attention?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah! It's weird. But the thing is need to find a date.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, what kind of guy are you looking for?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat are you guys doing later?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, Rachel and I have appointments to get our hair cut.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe do?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI want to see what he wants first.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just found out that Elizabeth's dad wants to meet me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWait a minute, hold the phone! You're not Elizabeth's dad?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nCome on guys, I-I really want this guy to like me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nIt-it would really help me out if you guys were here to make me look good.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOf course we'll help! Yeah! We'll be here!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThanks!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWe know how tough those parent/teacher conferences can be.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, hi! How are you doing?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI'm okay. I gotta go down to the police station and look at mug shots.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nThanks for having me over, you guys.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTag?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY-You're going?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUh we didn't, uh we didn't get the chance to talk.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, so, where did you say you're from again?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nColorado.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh, what good are you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, um, I think we should talk about what happened on the terrace.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh, I-I never should have said what I said.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nIt—y'know what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt just doesn't matter how I feel.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI mean we work together, so nothing could really ever happen between us, and what I would love is just to go to work on Monday, and-and never talk about this again, okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nUm, I'm not.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, god, I knew it, that I freaked you out.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNo, you didn't. The only thing that freaked me out was you saying that nothing could ever happen between us.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nReally?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah, so, please don't fire me for doing this.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nGet him! GET HIM! Get him! Get- YESSS! Not laughing now, are ya pal!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nSee buddy, that's all you need, a bunch of toothless guys hitting each other with sticks.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPass it! Pass it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHe's open!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nShoot! Shoot! Shoot!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey, look, we're on that TV thing!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI am so psyched I kept this chair for myself!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYeah, me too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah? Wow! Y'know, that this thing has speakers in the headrest!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo. Really?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah! You can hook it up to your TV\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nMy chair heals itself.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTiger!  Dragon! Iceberg!!  Joseph, did you even study at all last night?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYes! Yes, I did.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nThen do Iceberg!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nG-sharp.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nG\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?! I didn't touch a guitar!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo, but you're questioning my method!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nNo, I'm not questioning it, I'm saying it's stupid!  What?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nThank you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know none of my other student thought I was stupid.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYour other student, was you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYeah, well, y'know maybe you just need to try a little harder!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nLook, maybe I need to try a real teacher!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nRight here!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHere!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAndy Cooper, he teaches guitar and look ooh, there's a nice picture of him with a little kid and\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFine! You go learn from your qualified instructor! But don't come crying to me when everyone's sick and tired of hearing you play\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\n\"Baddest man in the whole damn town.\"\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, fine! Take his side!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAnd shame on you! You should know better, Joey needs to work.  Now come on!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nNo! Ah-ah-ah-ah-ah! You can have this back when the five pages are done!  Ahh!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHi!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHi.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi.  Umm, I think there's something that we really need to talk about.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI think we do. Why don't we go inside?  Look uh, I know why you're here.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYou do?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah, and to save you from any embarrassment umm, I think maybe I should talk first.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.  Uh, Ross and Rachel. Rachel and Ross. That's been one heck of a see-saw hasn't it?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI mean look, that-that one night we had was fun and…and certainly passionate, but don't you think it's better if we just stayed friends?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nSeriously. What?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf you want to, we can do it one more time.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean I'd-I'd be okay with that.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIn fact, I have some time right now.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, y'know what? Can I, can I talk now?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh sure.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm pregnant.  Ross?  Ross?  Okay, whenever you're ready.  And you're the father by the way—but you got that\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWe should defiantly play football more often. Maybe there's a like league we could join or something.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia75_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia75_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia75_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia75_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYes! Wow, well, that-that was easy. Okay, you-you go.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, you know, you know when your in bed, with a woman.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHmph.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd, ah, you know, your fooling around with her.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAnd you get all these like, mental images in your brain, you know, like Elle MacPherson, or that girl at the Xerox place....\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWith the belly-button ring? Oh, muhawa!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI know, And then all of the sudden your Mom pops into your head.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAnd your like 'Mom, get outta here!'\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYou know, but of course, like, after that you can't possibly think of anything else, and you can't, you know, stop what your doing.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nSo it's kinda like, you're, you know.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know.... You don't know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYour Mom, your telling me, your telling me, about your Mom, what is the matter with you?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nYou said...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI said '\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nLook at Emma!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI just can't decide who she looks more alike, you or Rachel?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh what are you kidding? She's gorgeous, it's all Rachel.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI'm sorry, for the last time, why aren't you two together again?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I know.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know, because you're not in that place.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhich would be fine, except you totally are.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's…it's complicated okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah that's true. Yeah, you love her. You always have. You have a child together. There is no right answer.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, we've been together.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOkay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd then apart, and then together, and then apart, and now we have a baby.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nIt's just if-if we got together again and it didn't work out…I could never do that to Emma.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI mean she-she thinking everything— Oh that's…now me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhat do they put something in the water in this place?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSince Rachel and I we're doing really, we're doing really well right now.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI know. I know. I know. I know, and if you try to make it more you might wreck it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, exactly.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRight.  Or you might get everything you've wanted since you were fifteen.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGod. I forgot how much I love driving. I have\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou don't have a\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh Ross you're so tense! You just gotta relax, okay? Just need to relax all right? Just need to relax\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat-what are you doing?! Are you—Okay that's not funny! Just stop horsing around!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI am not horsing around, okay? I am Porsching around.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUh-oh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOkay, stay calm. Nothing is going to happen to you, you are not in that much trouble.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally? You think so?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nI was talking to myself! You're going down!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey honey! I missed you today!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, yeah?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah.  What d'you wanna do tonight?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, well... Maybe we could...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, trying to turn me on by making a mess?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nKnow your audience!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nBesides, tomorrow we're doing those fertility tests and until then you need    to keep your tadpoles in the tank.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe really need to take those tests?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nHoney, we've been trying to have a baby for over a year.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI think    it's a good idea to find out if everything's ok. Just a few routine tests.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut I don't wanna do it in a cup!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh, hi Max! Hey, do you know everybody?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. Have you seen David?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, no, he hasn't been around.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, if you see him, tell him to pack his bags. We are going to Minsk.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMinsk?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nMinsk. It's in Russia.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know where Minsk is.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe got the grant. Three years, all expenses paid.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSo when, when do you leave?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJanuary first\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou wanted to see me Professor Geller?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYes. Yes! Please, come in.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOo-oo!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nPretty great! Except I did get a little attitude from the robot.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nDamn those robots, they're supposed to be our\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nAnyway, it wasn't the robot, it was the guy who controls him.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, he doesn't like me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHe had C.H.E.E.S.E.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nknock over the sandwich right when I was reaching for one!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOhh!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, why don't you just get him fired?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI may have to, I hate to do it, but I'm the star!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nY'know?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThere's a limit to how many sandwiches I can eat off the floor.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nExcuse me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey Tribbiani.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoe! I'm glad I found ya, I got an audition for ya!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWow!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nThe thing is it's kinda on the Q.T.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe actor who has the part doesn't know he might be fired.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's the lead in a series, Mac and C.H.E.E.S.E.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm the lead in Mac and C.H.E.E.S.E.!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh good God! If you want a baby so bad just go steal it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhat is going on with you? Since when are you so crazy about babies?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI'm not crazy about babies. I'm crazy about us.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nLook, we've always talked about having babies someday.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm not saying it has to be right now, but I'm starting to think that we can handle it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe're good.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe're really good.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, did you catch him?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWh-what did he say?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHe said, \"Nice to meet you Glenda.\"  Well, obviously I couldn't give him my real name?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhy?! Why not?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nCome on, you saw the way he ran out of here!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nHe's gonna stick around and talk to the daughter he abandoned!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhat did you say to him?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I said, I told him y'know, that I was the executor person of Francis' will and that I needed to talk to him so I'm gonna meet him at the coffee house later.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah, sure.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, in about ten seconds you're gonna see him kiss me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAnd in about five seconds you're gonna see why.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss did I ever tell you about the time that I went backpacking through Western Europe?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, get ready to see some beggin'!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, you came on to Ross!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNow I'm so joy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat are you talking about?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYou used the Europe story!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThat's the magic story you use when you wanna have sex!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHow do you know about that story?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHow do\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI heard it from my friend Irene who heard it from some guy!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSome guy!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo. No, she told me his name was Ken Adams.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nKen Adams!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHow we doing, you guys ready?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMom already called this morning to remind me not to wear my hair up. Did you know my ears are not my best feature?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSome days it's all I can think about.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, sorry I'm late, I couldn't find my bearings.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh... ok, fine.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut... ehm...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just have one question for you,    ehm...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen we exit should we walk, or run, or prance,    or stroll...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nStop it, stop it! He talks slow but he might pee fast! Ok,    let's go!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI can't believe this! How long as this been going on?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell umm, Alexandra has been\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, it has a name?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nPhoebe, don't get upset!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOkay—Oop! Too late! I'm leaving! Come on Chandler let's go!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell, Phoebe I thought I'd——Yeah, what the hell.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBen!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOh, that's good. Maybe he'll hear you and pull the cord.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nStop the bus! Wait! Wait! Wait!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nAre you sure he didn't break it because it really hurts?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, it's just a good bone bruise. And, right here  is the puncture wound from your ring.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I'm sorry, I'm really sorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nSorry.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nSorry!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI got my s's back!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhich we can celebrate later.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCelebrate.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, Paulo, why don't you just go get dressed, and then you be on your way, ok, bye-bye.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nRachel, how did this happen?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't know, I just kinda ran into him last night.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWhere?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAt his apartment. Is this juice?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhoa, whoa. And the fact that you dumped him because he hit on Phoebe?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh God, I know I'm a pathetic loser.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI licked my arm, what?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nIt's breast milk.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPhoebe, that is juice, squeezed from a person.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is the big deal?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWhat did you just do?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOk, would people stop drinking the breast milk?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nYou won't even taste it?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nNot even if you just pretend that it's milk?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNot even if Carol's breast had a picture of a missing child on it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nAww!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey Pheebs, could you please not put your feet up on my new……old sheet?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nOh sure!  Noo!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOhh!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nMy apothecary table!!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWhat?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNoooooo!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nRoss, where did you get this?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh my God, Phoebe,\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWow! Oh my God, well if they've ripped off our table ours must be much more than one and fifty dollars!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell this doesn't even smell like opium.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nOf course not, it smells like wine, which you spilled! And thanks for wrecking my sheet by the way.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHow is she?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nIt's too soon to tell. She's resting, which is a good sign.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHow's the hair?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm not gonna lie to you, Ross, it doesn't look good.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI put a clip on one side, which seems to have stopped the curling.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCan we see her?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYour hair looks too good, I think it would upset her. Ross, why don't you come on in.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nHow're you doing?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOf course the packaging does appeal to grown-ups and kids alike.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss, you're being silly. I've tried it, it's no big deal. Just taste it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThat would be no.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nCome on. It doesn't taste bad.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, it's kinda sweet, sorta like, uh...\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCantaloupe juice.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nExactly.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou've tasted it? You've tasted it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nUh huh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, you've tasted it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nYou can keep saying it, but it won't stop being true.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGimme the bottle.  Gimme the towel.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI still don't get why Greg and Jenny would give us a fake number.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nY'know, if they knew what they were doing they probably didn't give you real names either.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, maybe people give out fake numbers, but they don't give out fake names.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOh yeah?  Hi, Ken Adams, nice to meet you.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRegina Philange.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI still don't get it, we didn't do anything wrong.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nI know! Although, you did tell an awful lot of jokes.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI thought you said those jokes were funny. Joke! Joke! Joke!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nJoke. Joke. Blah! Blah!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWell maybe it was all of your questions.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat about my questions?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I'm sorry. It's just my foot itches like crazy.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I'll get it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWow! I usually get to know a girl a little better before I let her spoon me.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nRelax, it's not like we're forking.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nLook at it! Ohhh! Wallpaper's a little faded, that's okay. Carpet's a little loose. Hardwood floors!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHello.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Ooh! Oh Monica! It's so beautiful.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI know!!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSo, I'm here, ready to play.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOkay.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI brought a bunch of stuff for the house, so check it out. Ha-ha.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat's this?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nThat's a dog, every house should have a dog.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNot one that can pee on the roof.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nWell, maybe it's so big because the house was built on radioactive waste.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAnd is this in case the house sneezes?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo, no, that's the ghost for the attic.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't want a ghost.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nWell, nobody wants a ghost. But you've got one, because the house is sitting on an ancient Indian burial ground.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWait a minute, the house was built on radioactive waste, and an ancient Indian burial ground? That would never happen.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt16.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt16.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOkay, obviously you don't know much about the U.S. government.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt17.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt17.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt18.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt18.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHello.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt19.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt19.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI need to talk to you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt20.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt20.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSure, what's up?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt21.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt21.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll right, I just got changed in thirty seconds so you can be alone with him. You'd better go for it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nPlease, I'm not going for anything.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nWell, if you don't, I will.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWould you please go?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI would!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey, guys, guys, did you see my new, china cabinet?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUh-huh.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWatch, watch.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOoohhhh!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nAnd, and!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nAhhhh!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nHey, my Father's house does that!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nO-o-o-okay, how did it go? Tell me everything.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, the movie was great, dinner was great, and there's nothing like a cool, crisp New York evening.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay. It's Emma.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia100_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia100_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia100_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia100_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEmma!  See? I don't want it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia101_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia101_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia101_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia101_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nTake it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia102_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia102_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia102_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia102_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia102_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia102_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia102_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia102_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's clearly an Emma.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh honey, but you love that name.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nYeah, but I love you more.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nBesides y'know, nothing goes with Bing.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo I'm screwed.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh-oh, I'm a duck! I go, \"Quack, quack!\" I'm joy all the time!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNice try.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWait, wait, wait!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nLook, Monica\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nThis is not going to work.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nI bet this will work!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYou are so great! I love you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhat?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNothing! I said, I said \"You're so great\" and then I just, I just stopped talking!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nYou said you loved me! I can't believe this!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo I didn't!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nYes, you did!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nNo I didn't!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nYou love me!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nNo I don't! Stop it! Stop it! Stop it! Stop it!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt15.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt15.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHello Greg?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, this is Monica from the plane?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nListen, the number that you gave me 853-5…   That is their old number!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nJenny's been giving it out since they moved!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nJenny! That is so Jenny!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHey listen umm, how would you like to get together?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSay next Saturday?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, how about Sunday?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay umm, the week after that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThe week after that?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nY'know what Greg?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nWe are good, interesting, funny people with\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHey Chandler! Y'know that girl you went to college with who-who became a movie director?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah, Dana Keystone. She was in my Movement class.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat's a Movement class?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's Chandler's way of pretending he didn't take mime.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh well listen, anyway she's directing the new Al Pacino movie. You gotta get me an audition!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nOh, I don't know man. I haven't talked to her in like ten years.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI am.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, what are you talking about? You're a terrific actor.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou really think so?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nUgh, how can you even ask that question?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nRoss! Get a shot of this. (He's carrying an issue of the\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh, okay, I'm having another one!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nThis one doesn't hurt either—Ooh, yes it does!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOw!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOw!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOw!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOw!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nOoh!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nOh, I was kinda hoping that was it.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nHey, where are Monica and Rachel anyway?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, I love you. Okay, bye!  Hi!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nHi!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nThat was Alice's mom, she said she left five hours ago. She should be here by now!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "fear", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "fear"}
{"problem": "<video>\n<audio>\nOh, honey, don't worry. She's gonna make it on time.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt14.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt14.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI guess I set up the video camera to try and entice Joey.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut sadly I could not be enticed.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nUnbelievable! I mean you really kept Joey's underwear?! Why? Why would you do that?!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "disgust", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "disgust"}
{"problem": "<video>\n<audio>\nI'm Monica. I'm disgusting. I stalk guys and keep their underpants.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWell, I think we've all learned something about who's disgusting and who's not.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nEh?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll right, now, I'm going to get back to my bucket.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm only eating the skin, so the chicken's up for grabs.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh, okay, they gave you the old time pricing.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, what period is it from?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, it's from yore. Like the days of yore. Y'know?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYes, yes I do.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGod, oh it's just perfect!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nI bet it has a great story behind it too.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nYes! That I know, this is from White Plains.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nWhite Plains. Oh, it sounds like such a magical place.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "happy", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "joy"}
{"problem": "<video>\n<audio>\nSo, you still don't think I'm boyfriend material?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\nHuh?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI saw you checking me out during the game last night.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI, umm, shut up!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "anger", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "anger"}
{"problem": "<video>\n<audio>\n\"Good-bye Phoebe and Ursula. I'll miss you. P.S. Your Mom lives in Montauk.\" You just wrote this!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWell, it's pretty much the gist. Well, except for the poem. You read the poem, right?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNoooo!!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nAll right, hang on!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRachel, it's going to happen. Chandler is gonna move in here.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt0.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt0.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut I\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt1.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt1.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNo-no, wait!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt2.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt2.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJust let me finish, okay?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt3.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt3.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nThis isn't something that we just, we just impulsively decided in-in Vegas, this is something we both really want.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt4.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt4.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd it\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt5.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt5.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt is? Really?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "surprise", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt6.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt6.pt"], "texts": [], "task": "emotion_cls", "class_label": "surprise"}
{"problem": "<video>\n<audio>\nYeah, sweetie.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt7.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt7.pt"], "texts": [], "task": "emotion_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean we're not, we're not gonna live together anymore?\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt8.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt8.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nNo.\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt9.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt9.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nWhat? Oh my God! I'm gonna miss you so much!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt10.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt10.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI'm gonna miss you!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt11.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt11.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI mean it's the end of an era!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt12.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt12.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nI know!\nHow would you describe the emotional state of the speaker in the recording? Choose the most appropriate emotion from: \nanger, \ndisgust, \nfear, \nhappy, \nsurprise, \nneutral, \nsad", "answer": "sad", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt13.wav"], "dataset": "meld_emotion", "modality_signature": "text_video_audio", "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt13.pt"], "texts": [], "task": "emotion_cls", "class_label": "sadness"}
{"problem": "<video>\n<audio>\nOh my God, he’s lost it. He’s totally lost it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia0_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia0_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia0_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia0_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia0_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia0_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia0_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia0_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOr! Or, we could go to the bank, close our accounts and cut them off at the source.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou’re a genius!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAww, man, now we won’t be bank buddies!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNow, there’s two reasons.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOhh, you guys, remember that cute client I told you about? I bit him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOn the touchy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI-I’m sorry, but the moment I touch him, I just wanna throw out my old oath and take a new, dirty one.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, next time your massaging him, you should try and distract yourself.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah! Yeah! Yeah! Like-like when I’m doing something exciting and I don’t wanna get\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThank you, Joey.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo-no, thank you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia1_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia1_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia1_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia1_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey Estelle, listen\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell! Well! Well! Joey Tribbiani! So you came back huh? They\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat are you talkin’ about? I never left you! You’ve always been my agent!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nReally?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh well, no harm, no foul.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia2_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia2_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia2_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia2_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, you guys free tonight?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nTonight? You-you didn't say it was going to be at nighttime.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia3_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia3_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia3_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia3_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYes? Yes?! How can I help you?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, we were…we were just looking around.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh-oh, you’re-you’re fellow scholars.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat exactly were you looking for, hmm?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPerhaps,  perhaps Dr. Chester Stock’s musings on the Smiledon Californicus?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUhh….\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh… Ah…Get out of here!  Uh, meeting someone? Or-or are you just here to brush up on Marion’s views on evolution?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nUh, actually I find Marion’s views far too progressionist.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI find Marion’s views far too progressionist.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m sorry, who are you?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI’m a professor here uh, Ross…Geller.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss Geller, why do I know that name? It’s uh—Wait!  Did you write this?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes! You’re the person who checked out my book?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nY’know, you look nothing like I would’ve thought. You’re…you’re so young.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell I uh, I skipped forth grade.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia4_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia4_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia4_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia4_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou had no right to tell me you ever had feelings for me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI was doing great with Julie before I found out about you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey, I was doin' great before I found out about you. You think it's easy for me to see you with Julie?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThe point is I...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI don't need this right now, OK.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt, it's too late, I'm with somebody else, I'm happy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis ship has sailed.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAlright, fine, you go ahead and you do that, alright Ross.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nFine.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCause I don't need your stupid ship.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nGood.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nGood.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia5_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia5_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia5_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia5_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, it's so romantic to send people off on their honeymoon.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nY’know, Monica and Chandler are married. Ross and Rachel are having a baby. Maybe you and I should do something.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll in good time my love.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll in good time.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh shoot!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI left my guitar in their apartment.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell you can let me in later.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don’t have a key, they took mine to give to you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?! They took mine to give to you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhy would they take away our keys?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia6_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia6_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia6_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia6_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWow! It looks like we got a lot of good stuff.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh we did, but my mom got us the greatest gift of all.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nA\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. She’s going to live with us for eight weeks.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes! She’s gonna help us take care of the baby! Woo-hoo.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat—You’re not serious.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean she’s a very nice woman, but there is no way we can take eight weeks of her.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nShe’ll drive us totally crazy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHi Ross!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHi roomie!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia7_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia7_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia7_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia7_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey! What did you decide to do about the movie?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don’t know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s not like it’s porn!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis is a serious, legitimate movie.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd the nudity is really important to the story.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat’s what you say about porn.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou’re right. Maybe I shouldn’t even go on the call back.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo! No you should! A lot of major actors do nude scenes! I mean, the chance to star in a movie? Come on!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell that’s true.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd I am only naked in one scene.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPlus it sounds really great.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy character’s catholic and he falls in love with this Jewish girl.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWho run away together and they get caught in this big rainstorm.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo we go into this barn and undress each other and hold each other.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s really sweet and-and tender.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia8_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia8_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia8_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia8_utt14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, what’s up?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNothing, Monica and I had a stupid fight.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut you’re still moving in together, right? Because my ad came out today.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n\"Wanted. Female roommate, non-smoker, non-ugly.\" Nice!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just figured y’know, after living with you it’d be an interesting change of pace to have a female roommate, y’know?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSomeone I can learn from, someone-someone who’s different than me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd what’s more different than me. A guy who’s\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia9_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia9_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia9_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia9_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo where are we going next?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis witness won't return my calls so we're gonna see if we can surprise him coming home.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSur-surprise him? We're not, we're not gonna make anybody mad are we?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCome on man!  Listen so uh, are you gonna squeeze the perps shoes a little bit before he lawyers up?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIt's a witness not a perp. And no one talks like that!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, no one talks like that!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh what? Like your Mr. Cop!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey, I'm more cop than you two!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow do you figure that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHello! I'm in the front seat, okay? I'm Gary's partner!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia10_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia10_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia10_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia10_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI guess so.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHere you go. Thank you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWait, Rach! Where's the other one?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh what, you-you want both of them?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nRachel Karen Green, where's the other earring?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, okay, okay, look, just don't freak out, but I kinda lost it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know it's in the apartment, but I\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, what am I going to tell Monica? She wants to wear them tonight!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nTell her to wear her own earrings.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThese\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNooo! Nooooo! You lent me Monica's earrings?! I'm not allowed to borrow her stuff!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhy not?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBecause I lose her stuff!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia11_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia11_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia11_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia11_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nUh Phoebe, can I see you for a second?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat’s going on?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nChandler’s gone again!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh my God! Why would you play hide and seek with someone you know is a flight risk?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia12_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia12_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia12_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia12_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay. You ready to push again?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI already had a baby. Leave me alone.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, okay, come on, you can do it. You can do it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nLittle Leslie is here!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWe got another one!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh my God, I can't believe I have two-two children.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHow scary is that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nCome on little Chandler, it's time to be born. Come on little Chandler! Come on!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAll right, he's coming. He's coming!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, where's his thing?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nChandler's a girl!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh God, kindergarten flashback.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThey musta read the sonogram wrong.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCause they, 'cause they thought it was a boy, but Chandler's a girl!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nChandler's a girl!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay, keep saying it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAm I too late?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo-no ah, everything's okay. Everybody's healthy there's 30 fingers and 30 toes.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWe have our babies?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt19.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt20.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, we have our babies.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia13_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia13_utt21.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia13_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia13_utt21.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Toby!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Bobby.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s Bob actually. Hey, you work up here, can you tell me where this Chandler\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUhh yeah. Yeah, it’s  right, right down there.  Right there, yeah. Can I ask you why?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI want to talk to that bastard, see what his problem is.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay Bob listen uhh, I’m the reason you didn’t get the job up here.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nToby don’t.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBob!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nToby! I’m not gonna let you cover for him. Anything you say right now will just get me more upset with Chandler!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia14_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia14_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia14_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia14_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThank you.  Oh Joey and look at this crib! It’s so cute!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI know! I found it on the street.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAre you serious—Really?! It’s in such good condition.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWow! Whoa-whoa what’s under the covers?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI don’t know.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s moving.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nEw.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt’s still——It’s got a tail! Get it out of here! Get it out of here!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOoh! Ah! Okay!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia15_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia15_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia15_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia15_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, I went over to Kyle’s last night to pick up a few things and we got to reminiscing\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nwe talked through most of the night and we realized that the reason we were so anger at each other was because there are still feelings there. So\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh just say it Kyle!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWe’re gonna give it another try.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat about her whining and her constant need for attention?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m gonna work on that.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh right, because you’re so capable of change.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nY’know, he hums when he pees!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI do know.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt makes him miss the bowl, but whatever.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWe’re so sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThat’s all right, we-we don’t need you. In fact, hey I’m over it already.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, and y’know what? I don’t give a tiny rat’s ass.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, we’re gonna go.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m sorry. Ugh, Pheebs, you were, you were right about her. Y’know, she\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh. Y’know, he hums while he does other stuff to.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, we're better off without them.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd y’know, even if they break up again, you’d better not let him in your sad men’s club!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDivorced men’s club.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia16_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia16_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia16_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia16_utt18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhy isn’t that valet back with my Porsche?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMaybe because you’ve got the keys?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis is totally your fault!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMy fault?! You threatened the judge!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, you ripped the paper out of the court reporter’s machine!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia17_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia17_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia17_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia17_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPhoebe!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHave you seen Chandler?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo! Why?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe woman from the museum called and said that there was a cancellation and that we could move up our wedding and Chandler heard!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow bad is this?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell for the regular guy, it’s bad, but Chandler, Oh dear God!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know! I know! And he totally freaked out and I can’t find him anywhere!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat are you gonna do?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I’m never gonna listen to you again, that’s for sure!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\n\"Y’know, harm can it do if you go and put your name down?\"\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRachel said that!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell Rachel’s not here!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia18_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia18_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia18_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia18_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCome on, come on.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDamnit, damnit, damnit, damnit.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis is all your fault.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis is supposed to be, like, the greatest day of my life, y'know?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMy son is being born, and I should be in there, you know, instead of stuck in a closet with you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThe woman I love is having a baby today. I've been waiting for this just as much as you have.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo no no, believe me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo one has been waiting for this as much as I have, ok?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd you know what the funny thing is?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen this day is over, you get to go home with the baby, ok?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhere does that leave me?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou get to be the baby's father.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEveryone knows who you are.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWho am I?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThere's Mother's Day, there's Father's Day, there's no... Lesbian Lover Day.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nEvery day is Lesbian Lover Day.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThis is so great.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou wanna explain that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, well, 'cause when I was growing up, you know my dad left, and my mother died, and my stepfather went to jail, so I barely had enough pieces of parents to make one whole one.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd here's this little baby who has like three whole parents who care about it so much that they're fighting over who gets to love it the most.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt19.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnd it's not even born yet.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt20.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt20.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt's just, it's just the luckiest baby in the whole world.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt21.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt21.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI'm sorry, you were fighting.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia19_utt22.mp4"], "audios": ["meld_dataset/val/val_splits/dia19_utt22.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia19_utt22.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia19_utt22.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, it's a typical New York City apartment. Two girls are just hanging out.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, how are you doing Kelly?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm doing just fine! God, Tiffany, you smell so great!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIt's my new perfume. Why don't you come closer where you can\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, y'know Joey, you are sick!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis is disgusting!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI'm not reading this!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?! Wait-wait-wait! The handsome man was about to enter!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia20_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia20_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia20_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia20_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAll right, I'll give you this, Mr. Peanut is a better dresser.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean he's got the monocle, he's got the top hat...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know he's gay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just wanna clarify this: are you outing Mr. Peanut?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDanielle! Hi! Uh- everybody, this is Danielle, Danielle, everybody.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi. Hi.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat are you doing here?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia21_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia21_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia21_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia21_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell, what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is it?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat she left you?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThat she likes women?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat she left you for another woman that likes women?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLittle louder, okay, I think there's a man on the twelfth floor in a coma that didn't quite hear you...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThen what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy first time with Carol was...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt was my\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWith Carol?  Oh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSo in your whole life, you've only been with one——oh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhoah, boy, hockey was a big mistake! There was a whole bunch of stuff we could've done tonight!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia22_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia22_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia22_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia22_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHi. Where is everybody?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, it’s already closed, Chris gave me the keys to lock up-what is wrong?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMy marriage, I think my marriage is um, is kinda over.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh no! Why?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\n‘Cause Carol’s a lesbian.  And, and I’m not one. And apparently it’s not a mix and match situation.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh my God! I don’t believe it! Oh, you poor bunny.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m an idiot.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean shoulda seen it, I mean Carol and I’d be out and she’d, she’d see some beautiful woman, and, and she’d be Ross y'know look at her, and I’d think, God, my wife is cool!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAw! Hey, do you think that Susan person is her lover?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, now I do!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSeven years.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean we’ve been together seven years, she’s the only woman who’s ever loved me, and the only woman I’ve-I’ve ever....\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAw, God Ross. Oh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia23_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia23_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia23_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia23_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’ll do it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo you won’t.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook he knows he did a terrible thing and I believe him, he’s sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut,  you’ve got one more apology to make, all right, you’ve got to apologize to Mary-Angela.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, absolutely!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAll right.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou’ve got it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCookie, now you can punch him!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia24_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia24_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia24_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia24_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAll right, that's it, I quit.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat? I didn't say anything.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, but this  isn't the face of a person who trusts a person.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOk, this  is the face of a person who, you know, doesn't trust a person.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI'm sorry. I'm sorry, Phoebe. It's just a little shorter than what we had discussed.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWould you relax? I know what I am doing. This is how he wears it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia25_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia25_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia25_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia25_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJulie.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJody!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou were with Julie?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, when it started I was just trying to be nice to her because she was my brother's girlfriend.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd then, one thing led to another and, before I knew it, we were...shopping.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh. Oh my God.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHoney, wait. We only did it once. It didn't mean anything to me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, right.  Sure!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nReally, Rachel, I was thinking of you the whole time.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nLook, I'm sorry, all right.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI never meant for you to find out!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, please, you wanted to get caught.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThat is not true!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, so you just sort of happened to leave it in here?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDid it ever occur to you that I might just be that stupid?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOk, Monica. I just have to know one thing. Did you go with her to\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia26_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia26_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia26_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia26_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI can’t say.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhy?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhy not?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI can’t say because he’s famous.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh my God, who is it?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPhoebe, come on, you have to tell us.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, okay. It’s James Brolin. James Brolin is the father of my baby.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAs in Barbara Streisand’s husband James Brolin?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?! Well he never said that to me!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia27_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia27_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia27_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia27_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIn\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, this life! Oh okay no, Chandler's is worse.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMan, it must be so cool remembering stuff like that! I don't have any past life memories.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOf course you don't sweetie. You're brand new.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know Monica's worst Thanksgiving.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, let's not tell this story.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, come on!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh no, I know! I know! It's the one where Joey got Monica's turkey stuck on his head!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat?! Joey got a turkey stuck on his head?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, it's not like it sounds.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt's\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia28_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia28_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia28_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia28_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWendy, we had a deal!  Yeah, you promised! Wendy! Wendy! Wendy!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWho was that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWendy bailed. I have no waitress.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh... that's too bad. Bye bye.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nTen dollars an hour.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTwelve dollars an hour.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMon. I wish I could, but I've made plans to walk around.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know, Rachel, when you ran out of your wedding, I was there for you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI put a roof over your head, and if that means nothing to you...  twenty dollars an hour.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDone.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia29_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia29_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia29_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia29_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThe reactor’s gonna blow in three seconds, we’re never gonna make it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou’ve got to get out of here! Save yourself!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo! I won’t leave you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDon’t worry about me, I’m a robot! I’m just a machine!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo you’re not! Not to me!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh my God.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI am\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, you’re great! Okay, let’s take it from\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo, I mean I was really acting my ass off.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah, I thought I was pretty good too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh yeah, you’re solid. Yeah, you’re just no me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY’know what? I think that’s enough for now. Yeah. I don’t want to be over rehearsed.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFine!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’ll do it without you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI don’t need you or anybody else!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m gonna make it on my own!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou’ll see!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou’ll\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia30_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia30_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia30_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia30_utt18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI can't believe that Ross is gone. It is just so sad.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI didn't know Ross and you were so close.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWe weren't but we had one class together. He was such a great    guy and he talked so passionately about science. I always remembered him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI'm sure that would mean a lot to him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd if heaven has a    door, I'm sure he's pressing his ear up against it and listening intently.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI thought so many times about calling him and asking him out.    I guess I really missed my chance.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut you didn't!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI'm still alive!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nKori, I know this is a big surprise for you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIt's a long story but the things    you just said really made my day!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI mean, the fact that you are here means more    to me than if this room were filled with people!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou sick freak, who does that? I can't believe I had a crush on    you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDid you hear that? Kori Weston had a crush on me!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia31_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia31_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia31_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia31_utt12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWe’ll do a quick check.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo, eight days late huh?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou must be a little uncomfortable.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEh, just a tad.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou’re about 80 percent effaced, so you’re on your way.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt still could last a little while longer.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf you’re anxious there are a few ways to help things along.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDo them!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nActually, they’re things you can do. Just some home remedies, but in my experience I’ve found that some of them are quite effective.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, we are ready to try anything.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, there’s an herbal tea you can drink.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia32_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia32_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia32_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia32_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is wrong with Emma?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia33_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia33_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia33_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia33_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh she misunderstood, she thought she was moving to Tulsa.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia33_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia33_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia33_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia33_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnytime you're ready.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, ok, here we go.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, where am I talking to, here?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, uh, well, there is one way that seems to offer a certain acoustical advantage, but...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJust aim for the bump.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, ok, ok, ok, here goes.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know, I, you know, can't do this.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nUh, this is too weird.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI feel stupid.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSo don't do it, it's fine. You don't have to do it just because Susan does it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHello, baby. Hello, hello.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia34_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia34_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia34_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia34_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, hi. It’s Mark.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia35_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia35_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia35_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia35_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEasy. Easy. You have to go to the hospital. Okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, I do.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI really do.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, I’m gonna get your coat and then I’ll-I’ll put you in a cab.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay. Oh wait, wait-wait, you’re not gonna come with me?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOf course I am. I just have to make a call.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThank you.  Oww!!!! God!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?! I wh-, what’s wrong?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m sorry, I just can’t go to the hospital lookin’ like this.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia36_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia36_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia36_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia36_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPete Becker is circling the ring now. It looks like, he’s just trying to feel him out. Oh, Bruiser is just...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRun! Run you crazy, rich freak!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, I can’t watch this.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCheck it out, he’s winning!  Pete’s winning!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nReally?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo-o-o!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nUh-oh, Bruiser has Becker on the canvas and is going for his favourite area.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh! Oh!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWait, if that’s his favourite area, why is he being so mean to it?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, this is ironic.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOf your last two boyfriends, Richard didn’t want to have kids, and from the looks of it, now Pete can’t.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia37_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia37_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia37_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia37_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDude, you don’t have to brag! We got nothing here!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia38_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia38_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia38_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia38_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nShould we tell Rachel there’s an empty private room right next door to hers?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe could, or we can have sex in it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell let me think about that, while I remove my pants!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia39_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia39_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia39_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia39_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI thought I was a complete idiot.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, I’m with you. He even asked me if I thought you’d go out with him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Oh, I think I’m gonna throw up a little bit. What did you say?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI said no.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat? I…I just figured since you’re pregnant you’re not gonna be seeing people.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay Joey, first of all Kash Ford is not people. Second of all, what did he say when you told him I was pregnant?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI didn’t tell him. I didn’t know if you were telling people. This is back when I thought Kash was still people.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGood-good, don’t tell him. Don’t tell him. Just have him call me okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nRach look, I really don’t think that’s such a great\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, you go do it! I’ll come back to that set! I’ll meet more actors! I’ll meet ‘em all!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia40_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia40_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia40_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia40_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOhh, here you are. I was looking for you before. Joshua’s gone so you and Emily are free to go.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat’s okay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nShe’s still in there enhappying her fake party and uh, it’s too late to do any of the things I had planned, so\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia41_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia41_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia41_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia41_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh! Ah! I forgot my jacket!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou tell them to wait!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay. Wait! Wait!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEmily.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh no-no-no! Oh-no!  No! No! Emily!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia42_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia42_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia42_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia42_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey. Call me when you get there. Okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia43_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia43_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia43_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia43_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia43_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia43_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia43_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia43_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know. You're the guy who wouldn't chip in for the handyman.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNevermind!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo, I-I actually thought it was unfair the way everyone reacted. I mean you had just moved in.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJen.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJen, I know this may sound a little… But uh, would you maybe wanna grab a cup of coffee sometime, or\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSure! That would be nice.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUmm?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! My number is on there.  Give me a call.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI will give you a call.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'll see you later.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI forgot my paper.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia44_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia44_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia44_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia44_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHere we go. Okay, brace yourselves.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOw!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAren’t you gonna go?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. Thank you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, Rachel never pees in public restrooms.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, they never have any paper in there y'know. So my rule is ‘no tissue, no tuschy.’  Well, if everybody’s going.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, y'know what don’t close it  ‘cause the... keys...are in there.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, no-no-no-no-no-no!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat’s going on?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy lighter’s in there!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia45_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia45_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia45_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia45_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI promise.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAlthough, don’t feel like you can’t visit.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, is, is, is Chandler here?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, no he’s not.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou guys, Joey just saw Janice kissing her ex-husband.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?  So what are you going to do? I mean how, how are you going to tell Chandler?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, I was thinking about that and I, I think the best way would be, to not.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, you can’t keep this to yourself, if you know about this, you have to tell him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’ll kill him. I mean it’ll, it’ll just kill him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, you could wait ‘til I go to the dentist, maybe\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia46_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia46_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia46_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia46_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, what are you doing here?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, oh just ah, I was just wondering, when you and I split up, did you get the tape that was half the last episode of\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh yeah, but now it’s Susan and me in Mexico and the hostages coming home.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere’s Ben?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHe’s sleeping.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAhh.  Ooh, is this a ah, is this a bad time?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUmm, yeah, actually, Susan’s gonna be home any minute, it’s kinda an anniversary.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh! I thought you guys got married in uh, January?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt’s not that kind of anniversary.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh!  Oh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSooo!! Anyway...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia47_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia47_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia47_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia47_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhere are we gonna find a tiny little hat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, oh, oh, I’ll get ‘Rainy Day Bear’!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nBecause he’ll know what to do?  Oh my God, you’re a genius!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh God, oh God, it’s sowed on though.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nGive it. Give it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, it’s just like a bloodbath in here today.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia48_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia48_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia48_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia48_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPlease. This is so your fault.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow, how is this my fault?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nLook, Carol never threw me out of a room before you came along.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah? Well, there's a lot of things Carol never did before I came along.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey, hey, ok, all right, that's it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nGet in here.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCome on.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMy god, you guys, I don't believe you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThere are children coming into the world in this very building and your negative fighting noises are not the first thing they should be hearing.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSo just stop all the yelling, just stop it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, Susan.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDon't make me do this again, I don't like my voice like this.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOk, who wants to hear something ironic?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia49_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia49_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia49_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia49_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Here it is!  Ooh, Joey! Why did you sign it, \"Son of a bitch?\"\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI didn’t do that! Who would’ve done that?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSon of a bitch!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, maybe ask this guy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia50_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia50_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia50_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia50_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, did I not mention? Carl is a guy I hired to be my identical twin for a medical research project.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY’know sometimes the good ideas are just right in front of you, aren’t they?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay, I know it sounds crazy, but I think it might work. Y’know? The only problem is, Carl’s acting is\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, he’s the reason I didn’t get that big\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, uh can I get a little piece of that cake?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPizza!! We like Pizza!! Get out!!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia51_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia51_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia51_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia51_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey Monica, there’s a customer who wants to complement the chef, should I let him in?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSure, I love this part!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nCome on in.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia52_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia52_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia52_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia52_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally? In the moment, I really wanted to kiss you too. In the moment.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIn the moment, yeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut only in the moment. So do ya wanna kiss again?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSure, New Year’s Eve is only two weeks away. Can you wait?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMe neither.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\n3, 2,\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, you don’t have to count down every time we kiss.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUh, yeah, okay. Except I sorta felt like I needed a couple of seconds to get ready.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia53_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia53_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia53_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia53_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAlright. Phoebe?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, okay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf I were omnipotent for a day, I would want, um, world peace, no more hunger, good things for the rain-forest...And bigger boobs!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah, see.. you took mine. Chandler, what about you?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, if I were omnipotent for a day, I'd.. make myself omnipotent forever.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSee, there's always one guy.  \"If I had a wish, I'd wish for three more wishes.\"\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey Joey. Hi. Hey, buddy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey, Joey, what would you do if you were omnipotent?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nProbably kill myself!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\n..Excuse me?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, if Little Joey's dead, then I got no reason to live!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJoey, uh-\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia54_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia54_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia54_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia54_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia55_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia55_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia55_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia55_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJoey, onstage!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell can you at least stay to the end of the play?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean, I’ll go to the airport with ya, I-I wanna say good bye.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhere are you Vic?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFlight’s in an hour. I-I gotta go.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nVic! Vic!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIn a minute!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSo this is it? Victor?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, I guess it is.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nListen, I ah, I gotta say good bye, and-and I gotta say it quick ‘cause this is killing me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOne thing you gotta know, is that I will never forget you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut, you’ve got things you have to do now, and so do I.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd so… I’m gonna get on this spaceship,  and I’m gonna go to Blargon 7 in search of alternative fuels.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut when I return, 200 years from now, you’ll be long gone.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nBut I won’t have aged at all.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo you tell your great-great-granddaughter to look me up, because Adrienne, baby, I’m gonna want to meet her.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo long, Vic!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia56_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia56_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia56_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia56_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNooo Way! The most romantic song ever is\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSee, I-I think that one that Elton John wrote for, um, that guy on\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat song was that, Pheebs?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi Monica!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Mon!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Mon!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh my God, has she slept at all?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNope.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, it's been three nights in a row.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, she finally stopped crying yesterday, but then she found one of Richard's cigar butts out on the terrace, so.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, okay that explains it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI got a call at two in the morning, but all I could hear was, like, this high squeaky sound, so I thought okay its like a mouse or a opossum.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut then I realized where would a mouse or a opossum get the money to make the phone call.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia57_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia57_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia57_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia57_utt12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSo uh, man, are you gonna go to the play with me tonight?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY’know what, I don’t know how comfortable I am going to see how hot the sex is between some guy and your girlfriend.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, I know but\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh no-no-no, I’m there.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Mon! Want some pancakes?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou made pancakes?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYep! Grab a plate.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo-no, stay right there.  Gettin’ closer.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, okay, but don’t worry, because we also have cereals, muffins, waffles,\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nListen also we’re uh, we’re watching the game here Saturday night, if people want to come over.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia58_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia58_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia58_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia58_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes, if the foxhole was lined with sandwiches.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, hero sandwiches.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell you all know that I'm a pacifist so I'm not interested in war in any way.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen the revolution comes, I will have to destroy you all.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNot you Joey.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia59_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia59_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia59_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia59_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh my good God.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey! Continuing the countdown of your favorite meals. Tonight, No. 3, macaroni and cheese with cut up hot dogs.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, you have done enough! Okay? You have to stop this now.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI will! But not tonight. For dinner music, I thought we could listen to that tape you made me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, the mixed tape.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe Way You Look Tonight\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou are just the sweetest.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia60_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia60_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia60_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia60_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, guess what I’m doing tonight.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m checking out the restaurant with Pete.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh, Monica, I am so excited for you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia61_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia61_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia61_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia61_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSo honey this uh, this threesome thing umm, I mean how-how are you gonna start to find\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOoh, actually I’ve been making a list of all the women I know who might be into doing this!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh.  Wow!  Huh.  Boy!  Well, someone’s been doing their homework.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah. Ooh, and I know Gail Rosten is in there twice, but she is so\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I know.  Y’know, just-just talking about it is getting me kinda\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, me too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia62_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia62_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia62_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia62_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nand then, we could’ve gone from the ceremony to the reception with you in the sidecar!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nRoss, it just wouldn’t have been feasible.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut having a dove place the ring on your finger would’ve been no problem?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt was really fun being married to you tonight.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah! And! And, it was the easiest 400 bucks I’ve ever made.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay Ross, can I uh, can I ask you something?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat proposal, at the planetarium\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know, I know it was stupid.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAre you kidding?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWith the, with the lilies, and-and the song, and the stars!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIt was…really wonderful!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nDid you just make that up?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo, actually I thought about it when, when we were going out.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s how I imagined I uh, I would ask you to marry me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, that would’ve been very hard to say no too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s a good thing I didn’t do it, because it sounds like it would’ve been a very expensive wedding.  Okay, good night\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGoodnight\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEven if the sidecar had a windscreen so your hair wouldn’t get messed up?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI will think about it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThat’s all I’m askin’\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia63_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia63_utt20.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia63_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia63_utt20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou guys! It was bananas, cream, and beef! I-I just cannot believe that you ate that so that I wouldn’t feel bad!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell actually, I-I didn’t eat mine. It’s still in the bathroom.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo it isn’t, I ate that.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell we left ours in Monica’s bedroom.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNope, got it and I got yours  too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia64_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia64_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia64_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia64_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd that’s I’m so glad… there’s no problem.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThat’s fine, actually I’m on the hiring committee, so there’ll be at least one friendly face.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh! That’s great!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou know, Junior Miss is where I started. Oh, I had to sleep with the\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo-ho-ho!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean, no-no-no-no-no, don’t you worry, I’m sure with your qualifications you won’t need to sleep with some guy to get that job.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAlthough, I might need some convincing.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I, umm\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nKidding! God, I feel wild today!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia65_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia65_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia65_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia65_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh my God! Chandler just left though!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah but, maybe it’s not what we think. Maybe it’s tell Monica I’m sorry I…drank the last of the milk.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOr maybe he-he was writing to tell her that-that he’s changed his name, y’know? Tell Monica I’m sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI think it means he freaked out and left!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nDon’t be so negative! Good God! Isn’t it possible that Sorry is sitting in there  right now?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay. Phoebe, I-I think Ross is right. What are we gonna do?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nLook—Okay, I’m just gonna—I’m gonna have to go find him and bring him back!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou-you make sure Monica does not find out, okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI will, I will find him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia66_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia66_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia66_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia66_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHi! Hey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nDo you guys know any cute guys?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, of course I do! My good friend Joey over here.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, I’m sorry. Thank you Chandler.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnyway, there’s this big charity ball this weekend and Ralph Lauren bought a table, so I kinda have to go\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat’s the charity?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don’t know, something either trees or disease—Ralph mumbles a lot.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nDoes Ralph mumble when you’re not paying attention?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah! It’s weird. But the thing is need to find a date.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell, what kind of guy are you looking for?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia67_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia67_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia67_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia67_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat are you guys doing later?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, Rachel and I have appointments to get our hair cut.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe do?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI want to see what he wants first.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just found out that Elizabeth’s dad wants to meet me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWait a minute, hold the phone! You’re not Elizabeth’s dad?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nCome on guys, I-I really want this guy to like me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt-it would really help me out if you guys were here to make me look good.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOf course we’ll help! Yeah! We’ll be here!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThanks!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWe know how tough those parent/teacher conferences can be.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia68_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia68_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia68_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia68_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, hi! How are you doing?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI'm okay. I gotta go down to the police station and look at mug shots.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThanks for having me over, you guys.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTag?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY-You're going?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUh we didn't, uh we didn't get the chance to talk.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, so, where did you say you're from again?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nColorado.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh, what good are you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, um, I think we should talk about what happened on the terrace.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAh, I-I never should have said what I said.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt—y’know what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt just doesn't matter how I feel.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean we work together, so nothing could really ever happen between us, and what I would love is just to go to work on Monday, and-and never talk about this again, okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nUm, I'm not.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, god, I knew it, that I freaked you out.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo, you didn't. The only thing that freaked me out was you saying that nothing could ever happen between us.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nReally?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah, so, please don't fire me for doing this.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia69_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia69_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia69_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia69_utt19.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nGet him! GET HIM! Get him! Get- YESSS! Not laughing now, are ya pal!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSee buddy, that's all you need, a bunch of toothless guys hitting each other with sticks.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPass it! Pass it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHe's open!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nShoot! Shoot! Shoot!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, look, we're on that TV thing!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia70_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia70_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia70_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia70_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI am so psyched I kept this chair for myself!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah, me too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah? Wow! Y’know, that this thing has speakers in the headrest!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo. Really?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah! You can hook it up to your TV\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nMy chair heals itself.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia71_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia71_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia71_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia71_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nTiger!  Dragon! Iceberg!!  Joseph, did you even study at all last night?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYes! Yes, I did.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThen do Iceberg!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nG-sharp.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nG\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?! I didn't touch a guitar!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo, but you're questioning my method!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo, I'm not questioning it, I'm saying it's stupid!  What?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThank you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY'know none of my other student thought I was stupid.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYour other student, was you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, well, y'know maybe you just need to try a little harder!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nLook, maybe I need to try a real teacher!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nRight here!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHere!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAndy Cooper, he teaches guitar and look ooh, there's a nice picture of him with a little kid and\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nFine! You go learn from your qualified instructor! But don't come crying to me when everyone's sick and tired of hearing you play\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\n\"Baddest man in the whole damn town.\"\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, fine! Take his side!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia72_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia72_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia72_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia72_utt18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd shame on you! You should know better, Joey needs to work.  Now come on!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo! Ah-ah-ah-ah-ah! You can have this back when the five pages are done!  Ahh!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia73_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia73_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia73_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia73_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHi!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHi.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi.  Umm, I think there’s something that we really need to talk about.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI think we do. Why don’t we go inside?  Look uh, I know why you’re here.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou do?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah, and to save you from any embarrassment umm, I think maybe I should talk first.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.  Uh, Ross and Rachel. Rachel and Ross. That’s been one heck of a see-saw hasn’t it?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean look, that-that one night we had was fun and…and certainly passionate, but don’t you think it’s better if we just stayed friends?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSeriously. What?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nY’know what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIf you want to, we can do it one more time.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean I’d-I’d be okay with that.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIn fact, I have some time right now.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, y’know what? Can I, can I talk now?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh sure.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m pregnant.  Ross?  Ross?  Okay, whenever you’re ready.  And you’re the father by the way—but you got that\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia74_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia74_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia74_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia74_utt19.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWe should defiantly play football more often. Maybe there’s a like league we could join or something.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia75_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia75_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia75_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia75_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes! Wow, well, that-that was easy. Okay, you-you go.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, you know, you know when your in bed, with a woman.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHmph.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd, ah, you know, your fooling around with her.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnd you get all these like, mental images in your brain, you know, like Elle MacPherson, or that girl at the Xerox place....\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWith the belly-button ring? Oh, muhawa!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI know, And then all of the sudden your Mom pops into your head.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnd your like 'Mom, get outta here!'\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou know, but of course, like, after that you can't possibly think of anything else, and you can't, you know, stop what your doing.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSo it's kinda like, you're, you know.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou know.... You don't know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYour Mom, your telling me, your telling me, about your Mom, what is the matter with you?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou said...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI said '\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia76_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia76_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia76_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia76_utt16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nLook at Emma!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI just can’t decide who she looks more alike, you or Rachel?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh what are you kidding? She’s gorgeous, it’s all Rachel.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI’m sorry, for the last time, why aren’t you two together again?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I know.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know, because you’re not in that place.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhich would be fine, except you totally are.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s…it’s complicated okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah that’s true. Yeah, you love her. You always have. You have a child together. There is no right answer.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook, we’ve been together.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd then apart, and then together, and then apart, and now we have a baby.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt’s just if-if we got together again and it didn’t work out…I could never do that to Emma.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean she-she thinking everything— Oh that’s…now me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat do they put something in the water in this place?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSince Rachel and I we’re doing really, we’re doing really well right now.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know. I know. I know. I know, and if you try to make it more you might wreck it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, exactly.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRight.  Or you might get everything you’ve wanted since you were fifteen.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia77_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia77_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia77_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia77_utt19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGod. I forgot how much I love driving. I have\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou don’t have a\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh Ross you’re so tense! You just gotta relax, okay? Just need to relax all right? Just need to relax\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat-what are you doing?! Are you—Okay that’s not funny! Just stop horsing around!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI am not horsing around, okay? I am Porsching around.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUh-oh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay, stay calm. Nothing is going to happen to you, you are not in that much trouble.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nReally? You think so?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI was talking to myself! You’re going down!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia78_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia78_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia78_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia78_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey honey! I missed you today!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, yeah?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYeah.  What d'you wanna do tonight?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, well... Maybe we could...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, trying to turn me on by making a mess?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nKnow your audience!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nBesides, tomorrow we're doing those fertility tests and until then you need    to keep your tadpoles in the tank.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe really need to take those tests?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHoney, we've been trying to have a baby for over a year.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI think    it's a good idea to find out if everything's ok. Just a few routine tests.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut I don't wanna do it in a cup!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia79_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia79_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia79_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia79_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, hi Max! Hey, do you know everybody?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo. Have you seen David?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, no, he hasn't been around.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, if you see him, tell him to pack his bags. We are going to Minsk.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMinsk?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMinsk. It's in Russia.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI know where Minsk is.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe got the grant. Three years, all expenses paid.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSo when, when do you leave?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJanuary first\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia80_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia80_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia80_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia80_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou wanted to see me Professor Geller?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes. Yes! Please, come in.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOo-oo!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia81_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia81_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia81_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia81_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nPretty great! Except I did get a little attitude from the robot.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nDamn those robots, they’re supposed to be our\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAnyway, it wasn’t the robot, it was the guy who controls him.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, he doesn’t like me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHe had C.H.E.E.S.E.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nknock over the sandwich right when I was reaching for one!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOhh!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWell, why don’t you just get him fired?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI may have to, I hate to do it, but I’m the star!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nY’know?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThere’s a limit to how many sandwiches I can eat off the floor.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nExcuse me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey Tribbiani.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoe! I’m glad I found ya, I got an audition for ya!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWow!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThe thing is it’s kinda on the Q.T.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nThe actor who has the part doesn’t know he might be fired.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s the lead in a series, Mac and C.H.E.E.S.E.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m the lead in Mac and C.H.E.E.S.E.!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia82_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia82_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia82_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia82_utt18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh good God! If you want a baby so bad just go steal it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat is going on with you? Since when are you so crazy about babies?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI’m not crazy about babies. I’m crazy about us.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nLook, we’ve always talked about having babies someday.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI’m not saying it has to be right now, but I’m starting to think that we can handle it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe’re good.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWe’re really good.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia83_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia83_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia83_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia83_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, did you catch him?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWh-what did he say?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHe said, \"Nice to meet you Glenda.\"  Well, obviously I couldn't give him my real name?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhy?! Why not?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCome on, you saw the way he ran out of here!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHe's gonna stick around and talk to the daughter he abandoned!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat did you say to him?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, I said, I told him y'know, that I was the executor person of Francis' will and that I needed to talk to him so I'm gonna meet him at the coffee house later.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia84_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia84_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia84_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia84_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah, sure.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, in about ten seconds you’re gonna see him kiss me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnd in about five seconds you’re gonna see why.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss did I ever tell you about the time that I went backpacking through Western Europe?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, get ready to see some beggin’!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, you came on to Ross!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNow I’m so happy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat are you talking about?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou used the Europe story!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThat’s the magic story you use when you wanna have sex!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow do you know about that story?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow do\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI heard it from my friend Irene who heard it from some guy!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSome guy!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo. No, she told me his name was Ken Adams.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nKen Adams!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia85_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia85_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia85_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia85_utt16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHow we doing, you guys ready?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nMom already called this morning to remind me not to wear my hair up. Did you know my ears are not my best feature?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSome days it's all I can think about.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, sorry I'm late, I couldn't find my bearings.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia86_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia86_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia86_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia86_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh... ok, fine.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut... ehm...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI just have one question for you,    ehm...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhen we exit should we walk, or run, or prance,    or stroll...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nStop it, stop it! He talks slow but he might pee fast! Ok,    let's go!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia87_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia87_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia87_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia87_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI can’t believe this! How long as this been going on?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell umm, Alexandra has been\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, it has a name?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPhoebe, don’t get upset!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOkay—Oop! Too late! I’m leaving! Come on Chandler let’s go!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, Phoebe I thought I’d——Yeah, what the hell.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia88_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia88_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia88_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia88_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBen!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, that's good. Maybe he'll hear you and pull the cord.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nStop the bus! Wait! Wait! Wait!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAre you sure he didn't break it because it really hurts?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, it's just a good bone bruise. And, right here  is the puncture wound from your ring.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I'm sorry, I'm really sorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSorry.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nSorry!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI got my s's back!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhich we can celebrate later.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCelebrate.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia89_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia89_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia89_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia89_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOk, Paulo, why don't you just go get dressed, and then you be on your way, ok, bye-bye.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nRachel, how did this happen?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don't know, I just kinda ran into him last night.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhere?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAt his apartment. Is this juice?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhoa, whoa. And the fact that you dumped him because he hit on Phoebe?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh God, I know I'm a pathetic loser.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia90_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia90_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia90_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia90_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI licked my arm, what?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nIt's breast milk.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nPhoebe, that is juice, squeezed from a person.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat is the big deal?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat did you just do?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOk, would people stop drinking the breast milk?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou won't even taste it?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNot even if you just pretend that it's milk?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNot even if Carol's breast had a picture of a missing child on it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia91_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia91_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia91_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia91_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAww!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey Pheebs, could you please not put your feet up on my new……old sheet?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh sure!  Noo!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOhh!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nMy apothecary table!!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNoooooo!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nRoss, where did you get this?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh my God, Phoebe,\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWow! Oh my God, well if they’ve ripped off our table ours must be much more than one and fifty dollars!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell this doesn’t even smell like opium.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOf course not, it smells like wine, which you spilled! And thanks for wrecking my sheet by the way.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia92_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia92_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia92_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia92_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow is she?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nIt's too soon to tell. She's resting, which is a good sign.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHow's the hair?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm not gonna lie to you, Ross, it doesn't look good.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI put a clip on one side, which seems to have stopped the curling.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCan we see her?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYour hair looks too good, I think it would upset her. Ross, why don't you come on in.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHow're you doing?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia93_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia93_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia93_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia93_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOf course the packaging does appeal to grown-ups and kids alike.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRoss, you're being silly. I've tried it, it's no big deal. Just taste it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThat would be no.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nCome on. It doesn't taste bad.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, it's kinda sweet, sorta like, uh...\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nCantaloupe juice.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nExactly.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou've tasted it? You've tasted it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUh huh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, you've tasted it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou can keep saying it, but it won't stop being true.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGimme the bottle.  Gimme the towel.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia94_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia94_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia94_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia94_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI still don't get why Greg and Jenny would give us a fake number.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nY’know, if they knew what they were doing they probably didn’t give you real names either.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, maybe people give out fake numbers, but they don’t give out fake names.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh yeah?  Hi, Ken Adams, nice to meet you.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRegina Philange.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI still don’t get it, we didn’t do anything wrong.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know! Although, you did tell an awful lot of jokes.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI thought you said those jokes were funny. Joke! Joke! Joke!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nJoke. Joke. Blah! Blah!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell maybe it was all of your questions.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat about my questions?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia95_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia95_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia95_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia95_utt10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNo, I’m sorry. It’s just my foot itches like crazy.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh, I’ll get it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWow! I usually get to know a girl a little better before I let her spoon me.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nRelax, it’s not like we’re forking.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia96_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia96_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia96_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia96_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nLook at it! Ohhh! Wallpaper’s a little faded, that’s okay. Carpet’s a little loose. Hardwood floors!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHello.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh! Ooh! Oh Monica! It’s so beautiful.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI know!!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSo, I’m here, ready to play.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI brought a bunch of stuff for the house, so check it out. Ha-ha.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat’s this?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThat’s a dog, every house should have a dog.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNot one that can pee on the roof.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, maybe it’s so big because the house was built on radioactive waste.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnd is this in case the house sneezes?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo, no, that’s the ghost for the attic.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI don’t want a ghost.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, nobody wants a ghost. But you’ve got one, because the house is sitting on an ancient Indian burial ground.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWait a minute, the house was built on radioactive waste, and an ancient Indian burial ground? That would never happen.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt16.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt16.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt16.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOkay, obviously you don’t know much about the U.S. government.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt17.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt17.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt17.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHey!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt18.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt18.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt18.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHello.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt19.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt19.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt19.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI need to talk to you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt20.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt20.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt20.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSure, what’s up?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia97_utt21.mp4"], "audios": ["meld_dataset/val/val_splits/dia97_utt21.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia97_utt21.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia97_utt21.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll right, I just got changed in thirty seconds so you can be alone with him. You'd better go for it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nPlease, I'm not going for anything.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, if you don't, I will.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWould you please go?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI would!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia98_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia98_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia98_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia98_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey, guys, guys, did you see my new, china cabinet?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUh-huh.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWatch, watch.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOoohhhh!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAnd, and!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nAhhhh!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey, my Father’s house does that!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nO-o-o-okay, how did it go? Tell me everything.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, the movie was great, dinner was great, and there’s nothing like a cool, crisp New York evening.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia99_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia99_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia99_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia99_utt8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay. It’s Emma.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia100_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia100_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia100_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia100_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nEmma!  See? I don’t want it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia101_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia101_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia101_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia101_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nTake it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia102_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia102_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia102_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia102_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia102_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia102_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia102_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia102_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s clearly an Emma.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh honey, but you love that name.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, but I love you more.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nBesides y’know, nothing goes with Bing.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSo I’m screwed.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia103_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia103_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia103_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia103_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh-oh, I'm a duck! I go, \"Quack, quack!\" I’m happy all the time!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNice try.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWait, wait, wait!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nLook, Monica\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nLook!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis is not going to work.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI bet this will work!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYou are so great! I love you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhat?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNothing! I said, I said \"You're so great\" and then I just, I just stopped talking!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou said you loved me! I can't believe this!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo I didn't!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYes, you did!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo I didn't!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYou love me!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nNo I don't! Stop it! Stop it! Stop it! Stop it!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia104_utt15.mp4"], "audios": ["meld_dataset/val/val_splits/dia104_utt15.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia104_utt15.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia104_utt15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHello Greg?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nHi, this is Monica from the plane?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nListen, the number that you gave me 853-5…   That is their old number!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJenny’s been giving it out since they moved!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nJenny! That is so Jenny!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHey listen umm, how would you like to get together?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nSay next Saturday?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay, how about Sunday?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOkay umm, the week after that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThe week after that?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nY’know what Greg?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWe are good, interesting, funny people with\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia105_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia105_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia105_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia105_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey Chandler! Y’know that girl you went to college with who-who became a movie director?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh yeah, Dana Keystone. She was in my Movement class.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWhat’s a Movement class?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt’s Chandler’s way of pretending he didn’t take mime.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOh well listen, anyway she’s directing the new Al Pacino movie. You gotta get me an audition!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, I don’t know man. I haven’t talked to her in like ten years.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia106_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia106_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia106_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia106_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI am.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJoey, what are you talking about? You’re a terrific actor.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYou really think so?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUgh, how can you even ask that question?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia107_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia107_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia107_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia107_utt3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nRoss! Get a shot of this. (He's carrying an issue of the\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nOh, okay, I'm having another one!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis one doesn't hurt either—Ooh, yes it does!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOw!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOw!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOw!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOw!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOoh!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, I was kinda hoping that was it.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHey, where are Monica and Rachel anyway?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah, I love you. Okay, bye!  Hi!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nHi!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nThat was Alice's mom, she said she left five hours ago. She should be here by now!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nOh, honey, don’t worry. She's gonna make it on time.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia108_utt14.mp4"], "audios": ["meld_dataset/val/val_splits/dia108_utt14.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia108_utt14.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia108_utt14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI guess I set up the video camera to try and entice Joey.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut sadly I could not be enticed.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nUnbelievable! I mean you really kept Joey's underwear?! Why? Why would you do that?!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI'm Monica. I'm disgusting. I stalk guys and keep their underpants.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, I think we've all learned something about who's disgusting and who's not.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nEh?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAll right, now, I'm going to get back to my bucket.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI'm only eating the skin, so the chicken's up for grabs.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia109_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia109_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia109_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia109_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nOhh, okay, they gave you the old time pricing.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYeah.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nWell, what period is it from?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nUh, it’s from yore. Like the days of yore. Y’know?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nYes, yes I do.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nGod, oh it’s just perfect!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nI bet it has a great story behind it too.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nYes! That I know, this is from White Plains.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nWhite Plains. Oh, it sounds like such a magical place.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "positive", "images": [], "videos": ["meld_dataset/val/val_splits/dia110_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia110_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia110_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia110_utt9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"problem": "<video>\n<audio>\nSo, you still don’t think I’m boyfriend material?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nHuh?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI saw you checking me out during the game last night.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia111_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia111_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia111_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia111_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI, umm, shut up!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\n“Good-bye Phoebe and Ursula. I’ll miss you. P.S. Your Mom lives in Montauk.” You just wrote this!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWell, it’s pretty much the gist. Well, except for the poem. You read the poem, right?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nNoooo!!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nAll right, hang on!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia112_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia112_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia112_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia112_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nRachel, it’s going to happen. Chandler is gonna move in here.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt0.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt0.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt0.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nBut I\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt1.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt1.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt1.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo-no, wait!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt2.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt2.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt2.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nJust let me finish, okay?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt3.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt3.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt3.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nThis isn’t something that we just, we just impulsively decided in-in Vegas, this is something we both really want.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt4.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt4.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt4.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nAnd it\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt5.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt5.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt5.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nIt is? Really?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt6.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt6.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt6.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nYeah, sweetie.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "neutral", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt7.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt7.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt7.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"problem": "<video>\n<audio>\nI mean we’re not, we’re not gonna live together anymore?\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt8.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt8.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt8.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nNo.\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt9.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt9.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt9.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nWhat? Oh my God! I’m gonna miss you so much!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt10.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt10.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt10.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI’m gonna miss you!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt11.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt11.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt11.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI mean it’s the end of an era!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt12.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt12.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt12.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nI know!\nThe above is a video and audio recording from a conversation, along with the transcript. What is the sentiment of the speaker in this recording? \nChoose one: positive, negative, or neutral.", "answer": "negative", "images": [], "videos": ["meld_dataset/val/val_splits/dia113_utt13.mp4"], "audios": ["meld_dataset/val/val_splits/dia113_utt13.wav"], "dataset": "meld_senti", "modality_signature": "text_video_audio", "texts": [], "ext_video_feats": ["pose/meld_dataset/val/val_splits/dia113_utt13.pt"], "ext_audio_feats": ["opensmile/meld_dataset/val/val_splits/dia113_utt13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"problem": "<video>\n<audio>\nContext: So, um, will you bring the truck? I'll even let you ring the bell. Oh, my god.\nSpeaker: PHOEBE\nUtterance: \"See, there you go, the cleansing works!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_234.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_234.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_234.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_234.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hi umm, listen come here, come in. I'm so-so sorry about yesterday.\nSpeaker: ROSS\nUtterance: \"I-I'm really sorry. It's just that I\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_371.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_371.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_371.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_371.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Well Joey, we're all .. we're all very proud of you. Yes, I believe we can expect a call from the President any moment now. Is there anything we can do for you?\nSpeaker: JOEY\nUtterance: \"No just, nobody press on my stomach.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_553.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_553.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_553.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_553.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hey. What, what are you doing here? Well, I-I thought a lot about what you said, and um, I realilized duh, all right maybe I was a little judgmental. Yeah, oh, but oh...\nSpeaker: JOEY\nUtterance: \"Look now, Phoebe remember, hey, their just fulfilling their Christmas....\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_562.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_562.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_562.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_562.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Wow, this place is awesome. Where do they keep the Archies?\nSpeaker: SHELDON\nUtterance: \"In the bedrooms of ten-year- old girls, where they belong.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_4760.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_4760.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_4760.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_4760.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: You heard what he said about his parents. \nIt was the little things they kept bottled up. \nI don't want that to happen to us. How can I convince you it won't? Well, is there anything about me you're keeping inside? I'm not answering that. \nIt's a trap. So there<i> are</i> things you don't like.\nSpeaker: HOWARD\nUtterance: \"And here I am in the trap. You just keep talking. I'm gonna chew my leg off.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11224.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11224.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11224.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11224.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: When that guy was robbing us and I was locked in the entertainment unit for like six hours, do you know what I was doing there in all that time? I was thinking about how I let you down. Yeah. But if I had known what kind of friend you would turn out to be, I wouldn't have worried about it so much. See you around! Wait! Just wait one second. There has to be something that I can do, something. If we still had that entertainment unit, I would get in there for six hours and think about  how I let you down.\nSpeaker: JOEY\nUtterance: \"We got a box.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_49.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_49.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_49.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_49.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: We're not gonna do that. Well, if you like you can feel Rachel's and then feel mine to compare. Am I interrupting?\nSpeaker: ROSS\nUtterance: \"Uh yes! Thank you.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_247.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_247.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_247.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_247.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Your flaring nostrils indicate otherwise. Cluck-cluck-cluck. Sheldon, look at me.\nI think it's time to face the fact that Leonard is the nucleus of your social group.\nWhere he goes, the group goes. Leonard the nucleus? That makes no sense. I'm the whimsical elf that everyone looks to for a good time.\nSpeaker: AMY\nUtterance: \"I'm not saying that you're not fun. You're the most fun person I know.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_5169.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_5169.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_5169.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_5169.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Can you please just let it go? Oh, I can help you with that. Imagine you're holding an ordinary pen. While your favorite pen is safe and secure in your pocket. Hold that thought. Hello? How can I make this up to you?\nSpeaker: PENNY\nUtterance: \"The answer's in this puzzle box. Let's see if you can open it.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11697.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11697.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11697.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11697.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: I knew it, wow!! Wait-wait-wait, wait! Puppies. Cute or ugly? Ohh, so cute.\nSpeaker: PHOEBE\nUtterance: \"Uh-huh, well! But umm, still I'm-I'm mad at you.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_56.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_56.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_56.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_56.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hey, it's me. I know you can't stand to be in the same room as me, so I just thought I'd try and apologize over the phone. Hello.\nSpeaker: CHANDLER\nUtterance: \"Look I never should have kissed your girlfriend, but I'm\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_243.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_243.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_243.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_243.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Yeah, I talked to you on the phone, I'm the lady that got stuck with the racecar bed. Look, it's like I told you, there's nothing I can do. You signed for it, Monica Velula Geller. All right, Jester man, look we wanna see the king.\nSpeaker: PERSON\nUtterance: \"Nobody sees the king!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_295.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_295.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_295.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_295.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: I promised my mother. I suppose you could have your android penis circumcised. But that's something your rabbi would have to discuss with the manufacturer. Not to mention you'd have to power down on saturdays. Sheldon, why is this letter in the trash?\nSpeaker: SHELDON\nUtterance: \"Well, there's always the possibility that a trash can spontaneously formed around the letter but Occam's rasor would suggest that someone threw it out.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_507.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_507.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_507.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_507.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: I have a question. Umm, I used your pen to draw on my friend's face. A beard and a moustache.\nSpeaker: ROSS\nUtterance: \"Thank you.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_339.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_339.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_339.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_339.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Will you at least stipulate that Star Trek IV: The Voyage Home is inarguably the best? I have three words for you: Wrath of Khan. Thank God, you're here. What's the emergency? I got the Mars Rover stuck in a ditch. Where?\nSpeaker: HOWARD\nUtterance: \"On a dusty highway just outside Bakersfield. Where do you think? On Mars!\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_1549.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_1549.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_1549.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_1549.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Well, I'm just,if the paste matches the pants, you can make yourself a pair of paste pants and she won't know the difference! Joey, do you have a minute? Dude, what am I gonna\nSpeaker: JOEY\nUtterance: \"Uh, Rachel's here, so good luck man, let me know how it works out.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_542.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_542.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_542.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_542.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Mmm Mmm\nSpeaker: CHANDLER\nUtterance: \"This is so good, that I am gonna enjoy it in the balcony. I can enjoy my view, whilst I enjoy my desert.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_178.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_178.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_178.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_178.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Uh, belt's to tight, gotta change the belt. Did I turn the fish? No, cause I made lasagne.\nSpeaker: MONICA\nUtterance: \"Am I out of control?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_314.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_314.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_314.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_314.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: It was summer. And it was hot. Rachel was there.\nSpeaker: CHANDLER\nUtterance: \"A lonely grey couch. \" O look \" cried Ned. And then the kingdom was his. The End.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_268.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_268.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_268.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_268.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: So, we're all standing around looking at the post-op X ray and there it is, clear as day, right in the guy's chest cavity...one of my earrings. Oh, my God, what did you do?\nSpeaker: PERSON\nUtterance: \"What do you think I did? I discreetly slipped off the other earring, put it in my pocket and then got the hell out of there!\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_1627.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_1627.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_1627.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_1627.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hi! Hey! Uh, Pheebs, about your mom...\nSpeaker: PHOEBE\nUtterance: \"Yeah?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_517.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_517.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_517.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_517.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: It's one more thing in my life that's suddenly completely different. This is hard. Yeah I know.\nSpeaker: ROSS\nUtterance: \"On the other hand in um, in about seven months you're gonna have something that you're gonna love more than any guy you've ever gone out with.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_577.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_577.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_577.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_577.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Yes! And he said really mean things that were only partly true. I'm gonna go down there and teach that guy a lesson. Joey, please don't do that. I think it's best that we just forget about it.\nSpeaker: RACHEL\nUtterance: \"That's easy for you to say, you weren't almost just killed.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_54.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_54.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_54.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_54.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: And you can see me! Same as yesterday, same as the day before. Is he doing his shark attack bit yet?\nSpeaker: JOEY\nUtterance: \"Nope. Op, wait! There he goes.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_365.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_365.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_365.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_365.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Your tailor, is a very bad man. Frankie what are you talking about? Hey, whats going on? Joey' trailer took advantage of me No way, I have been going to the guy for twelve years Oh c'mon, he said he was gonna do my inseam, then he ran his hand, up my leg and then there was definite What? Cupping. That's how they do pants. First they go up they move it over, then they go up the other side and move it back, then they do the rear. What? Ross will you tell them? Isn't that how a tailor measures ?\nSpeaker: ROSS\nUtterance: \"Yes yes it is! In Prison!!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_484.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_484.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_484.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_484.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Well the tough thing is she really wants to have sex with me.\nSpeaker: CHANDLER\nUtterance: \"Crazy bitch!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_509.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_509.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_509.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_509.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: And I cannot believe people pay for horoscopes, but on a more serious note, it's 8:13 and we're still not playing Halo. Fine. We'll just play one-on-one until he gets back. One-on-one? We don't play one-on-one. We play teams, not one-on-one. One-on-one. The only way we can play teams at this point is if we cut Raj in half.\nSpeaker: RAJ\nUtterance: \"Sure, cut the foreigner in half. There's a billion more where he came from.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_340.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_340.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_340.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_340.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Are you kidding me? Joey Joey Joey Joey!\nSpeaker: CHANDLER\nUtterance: \"Did I wake you?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_168.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_168.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_168.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_168.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Listen, I'm sorry about that whole thing with Roger. It really wasn't right, and I, and I want to make it up to you, so umm, I brought you something that I think you'll really enjoy. Now, this is just a loan.\nSpeaker: PHOEBE\nUtterance: \"Okay?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_264.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_264.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_264.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_264.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: For starters, they shed and bite. Hey, here's a thought.\nWhy don't we put up the rest of the money that Stuart needs? So, we'd be, like, owners of a comic book store? It's kind of a dream come true. That does sound fun. Ooh, maybe we could come up with a business plan to compete with this place.\nSpeaker: SHELDON\nUtterance: \"I'll give you a plan right now. Step one: open comic book store. Step two: start rumor this comic book store gives you genital warts.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_10810.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_10810.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_10810.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_10810.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Who will stand between us and flag ignorance\"\" I know I was thinking that.\nIs this a show on flags or mind reading? But the truth is I can no longer balance a full-time career, a popular Internet show, and a girlfriend. And he really does have one, you jerks on the comment board.\nSpeaker: SHELDON\nUtterance: \"So as they say, all good things must come to an end.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11253.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11253.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11253.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11253.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Baby, you're not that kind Don't go breaking my heart Anybody do \"Walking on Sunshine\" yet? No Dibs.\nSpeaker: PERSON3\nUtterance: \"I'm sorry, Sheldon bought a loom and learned how to weave?\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_5212.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_5212.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_5212.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_5212.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Wow! This girl is good. Oh-ho yeah! A song with rhyming words. Oo, I never thought of that before. I like her.\nSpeaker: PHOEBE\nUtterance: \"Why? Because she can sing and play guitar and do both at the same time?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_575.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_575.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_575.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_575.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: HEY!! Do you Oh come on! Morning's here!  Morning's here! The morning is here! Sunshine is here! I\nSpeaker: JOEY\nUtterance: \"Are you kidding? I love that guy!  Morning's here! Morning is here,\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_426.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_426.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_426.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_426.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Y'know what I think it is? I think you've made such a nice home for her over the last nine months that she just doesn't want to leave. Oh. Look at you making up crap for me. Oh God!\nSpeaker: PERSON\nUtterance: \"Twenty-one hours, you're a hero.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_439.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_439.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_439.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_439.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Yeah, I mean I was up sick all night. Yeah me too, all night. Really?! How come we didn't cross paths?\nSpeaker: JOEY\nUtterance: \"Yeah well that's because uh .. I stayed in my room. Yeah, you don't want to look in my hamper.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_531.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_531.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_531.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_531.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: The stripper stole the ring! The stripper stole the ring! Chandler get up get up, the stripper stole the ring.\nSpeaker: CHANDLER\nUtterance: \"Oh just like give a minute to wake up for this  ...  Ha ha! You lost the ring. You the worst best man ever!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_380.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_380.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_380.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_380.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Probably because I didn't read the instructions.\nNo wrapper's going to tell me what to do. Unless his name is Jay-Z. Is something going on? What do you mean? Well, you're acting all weird.\nAnd I'm pretty weird, so I think I know what I'm talking about. I don't know. Maybe it's all those steroids I've been taking.\nSpeaker: PERSON\nUtterance: \"I think I'm gonna go. Thank you for the burrito and the pork rinds and the 20-minute lecture on why monster trucks are better than regular trucks.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_8452.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_8452.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_8452.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_8452.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: You roll another hard eight and we get married here tonight. Are you serious?! Yes! I love you!\nSpeaker: MONICA\nUtterance: \"I've never loved anybody as much as I love you.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_7.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_7.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_7.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_7.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Just your run-of-the-mill third nipple. You can take it off. Just slice that baby right off!\nSpeaker: PERSON\nUtterance: \"Take your shirt off, and let's see what we're dealing with here.  What are you doing?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_150.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_150.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_150.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_150.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Oh Monica, we are so sorry. For what? Well first, for forgetting to throw you a bridal shower.\nSpeaker: PHOEBE\nUtterance: \"And then for forgetting to invite you to it.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_576.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_576.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_576.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_576.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: This man became my whole world. Yeah, nice speech, Francine. I'm not done, but thank you. I think back....\nSpeaker: RAJ\nUtterance: \"...to all the good times we had, like, uh, when we went camping and spent that night telling each other all our secrets. I told him I'm addicted to pedicures and he told me he lost his virginity to his cousin.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_7082.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_7082.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_7082.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_7082.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Honey, you remember my boss Doug right? Yes, hi. Hi. So good news, the divorce is final. I signed the papers this A.M.\nSpeaker: CHANDLER\nUtterance: \"I didn't know you and Carol were getting divorced, I'm sorry.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_78.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_78.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_78.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_78.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: the organism responsible for Michelob Lite. Is there something wrong with your neck? It's a little stiff. What a remarkably fragile structure to support such a valuable payload. Not unlike balancing a Faberge egg on a Pixie Stick. Have you considered massage?\nSpeaker: SHELDON\nUtterance: \"I'd like to respond to that sarcastically: Yes, I relish the thought of a stranger covering my body with oil and rubbing it.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_5679.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_5679.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_5679.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_5679.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Hey, have you told your parents you're dating this short glass of skim milk here? Uh... that's different.\nFirst of all, we're not engaged; and second, Indian parents are very protective of their children. Right, right, whereas Jewish mothers take a casual, la-di-da approach to their sons.\nSpeaker: SHELDON\nUtterance: \"I gargled with tequila and may have swallowed a teeny bit.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_5581.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_5581.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_5581.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_5581.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: My God, she didn't! What could she possibly be talking about for so long?\nSpeaker: SHELDON\nUtterance: \"Obviously, waitressing at The Cheese Cake Factory is a complex socio-economic activity that requires a great deal of analysis and planning.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_2853.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_2853.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_2853.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_2853.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: And she was like \"Oh, don't worry! I asked him. He's totally ok with seeing you!\".\nSpeaker: PHOEBE\nUtterance: \"So now I have to go so he'll think that I'm totally ok with seeing him!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_560.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_560.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_560.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_560.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: That's a great idea. I'm going to get him to sign a Batman as well. What is it about the word \"unique\" you don't understand? Damn, paper cut. Nothing worse than a paper cut. Well, obviously you don't remember your circumcision. There's Neosporin and Band-Aids in my top desk drawer.\nSpeaker: HOWARD\nUtterance: \"Why don't you keep that stuff in the bathroom?\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_3599.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_3599.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_3599.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_3599.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: The only thing we have in common is under the sheets Whats under the sheets?\nSpeaker: DOROTHY\nUtterance: \"His cappucino maker.\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_11.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_11.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_11.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_11.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Okay, why?\nSpeaker: SHELDON\nUtterance: \"I'm listening to you snore. I'm wondering how I'll ever sleep without it.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11177.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11177.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11177.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11177.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: You went to President Seibert's house in the middle of the night? He didn't respond to my e-mail, his phone number is unlisted. Tell me what my other option was. You could have waited until morning. I know, look who I'm talking to. Do you remember the grant proposal I submitted to the National Science Foundation to detect slow-moving monopoles at the magnetic North Pole?\nSpeaker: LEONARD\nUtterance: \"Hardly a day goes by when I don't think about it.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_2614.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_2614.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_2614.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_2614.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: There's nothing weird going on with me and your mother. Stewie, your bath is getting cold! I got to go, bye. Penny?\nPenny.\nPenny.\nPenny.\nPenny. You knocked more than usual.\nSpeaker: SHELDON\nUtterance: \"Next time I might be in a rush, it's good to have a few in the bank.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11120.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11120.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11120.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11120.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: And! And! Ah!\nSpeaker: CHANDLER\nUtterance: \"Hey, my father's house does that.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_322.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_322.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_322.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_322.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: You guys can pee standing up.\nSpeaker: CHANDLER\nUtterance: \"We can? Ok I am trying that.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_434.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_434.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_434.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_434.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Yeah. I go see my doctor tomorrow, I'll ask her about this. Maybe she can give me a pill or something.\nSpeaker: PHOEBE\nUtterance: \"Yeah. Yeah, that's what you need a good .. pill.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_254.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_254.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_254.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_254.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Hey Sheldon. Hello Penny. Get anything good? Just the latest copy of Applied Particle Physics quarterly.\nSpeaker: PENNY\nUtterance: \"Oh, you know, that is so weird that yours came and mine didn't.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_537.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_537.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_537.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_537.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Okay. Let's use this brush. Okay. This stuff? Yeah.\nSpeaker: ROSS\nUtterance: \"All right.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_481.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_481.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_481.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_481.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hey, I need you to set me up for a joke. Later when Monica is around I need you to ask me about firetrucks I don't know Chandler, I am not so good with remembering lines.\nSpeaker: CHANDLER\nUtterance: \"Well thank God your livelihood doesn't depend on it.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_310.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_310.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_310.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_310.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: I never would have identified the fingerprints of string theory in the aftermath of the Big Bang. My apologies. What's your plan?\nSpeaker: SHELDON\nUtterance: \"It's just a privilege to watch your mind at work.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_60.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_60.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_60.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_60.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: It was dreadful. I felt terrible about how I acted when you said those wonderful things. No, no, that-that, that's all right. Umm, I'm just glad you called.\nSpeaker: PERSON\nUtterance: \"Ross umm, there's something that I've got to tell you, there's-there's someone else.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_454.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_454.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_454.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_454.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: All right. I'm no stranger to a little gray matter. Locus coeruleus. Locus coeruleus. You're getting warmer-- it is, indeed, in the brain.\nSpeaker: AMY\nUtterance: \"Hope your hands are steady. It's the width of a single hair. But this is just biology, so I'm sure it's no problem for a genius like you.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_6769.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_6769.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_6769.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_6769.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Who? Dee, the sarcastic sister from What's Happening!! Guys, guess what guess what guess what.\nSpeaker: CHANDLER\nUtterance: \"Uh, okay. The fifth dentist caved and not they're all recommending Trident?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_24.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_24.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_24.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_24.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Hey, we know how we always say we need a place for the mail? Well I started building one, but then, I decided to take it to the next step.\nSpeaker: CHANDLER\nUtterance: \"You building a post office?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_128.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_128.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_128.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_128.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Can you give me a closer look so that I can see the price?\nSpeaker: CHANDLER\nUtterance: \"I can see it from right here. It'll cost you one husband.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_161.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_161.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_161.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_161.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: All right, I'm outta here! I'm kidding! I'm kidding! So were done then!\nSpeaker: PERSON\nUtterance: \"Almost! But first, we gotta start.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_548.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_548.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_548.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_548.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Could guys please try to keep It down? We are trying to start a tournament.\nSpeaker: CHANDLER\nUtterance: \"These people find out that a spelling game is going over there, there will be nobody left at our party.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_226.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_226.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_226.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_226.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: That's what I love about science-- there's no one right answer. So...you and Zack again, huh? Yeah, yeah, me and Zack again. Were we here earlier? Okay, we should, we should go. Ah, not yet. I want to talk science with the science dudes.\nSpeaker: HOWARD\nUtterance: \"Oh, and the science dudes want to talk science with you. What do you want to talk about-- rocks, dinosaurs, our friend the beaver?\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_4743.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_4743.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_4743.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_4743.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Have you seen Joey? What's the matter? Oh, just this!  Y'know what it's my fault really, because the couch is usually where we\nSpeaker: JOEY\nUtterance: \"Hey, does somebody wanna hand me one of those tiles.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_218.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_218.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_218.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_218.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Oh, look at you.\nYou, you look like you grew. Yeah.\nThe lack of gravity did decompress my spine, so I'm like an inch and a half taller. I'm going to the DMV tomorrow to get my license changed before I shrink back. Oh, uh, come in, come in. Oh, I, uh, I didn't think I was going to get to see you until tomorrow.\nSpeaker: HOWARD\nUtterance: \"Yeah, well, Bernadette's a little under the weather and my mom's kind of under my dentist.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_7487.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_7487.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_7487.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_7487.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Yeah! Now, why do you want to kill yourself? It's just that I uh, have been working for ten years now at this meaningless, dead-end job and nobody here even knows I exist!\nSpeaker: PHOEBE\nUtterance: \"Chandler?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_569.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_569.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_569.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_569.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Oh, that's uh, that's pretty nice but I'm gonna go with the one I picked first. Oh my God Chandler, the one you picked is gone. It's over! What?\nSpeaker: PHOEBE\nUtterance: \"Some guy bought it. I'm sorry. I tired to stop it but they put me in jail!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_413.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_413.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_413.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_413.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: A marathon? How many Superman movies are there? You're kidding, right? I do like the one where Lois Lane falls from the helicopter and Superman swooshes down and catches her. Which one was that? One. You realize that scene was rife with scientific inaccuracy. Yes, I know, men can't fly. Let's assume that they can.\nSpeaker: SHELDON\nUtterance: \"Lois Lane is falling, accelerating at an initial rate of 32 feet per second per second. Superman swoops down to save her by reaching out two arms of steel. Miss Lane, who is now traveling at approximately 120 miles an hour, hits them and is immediately sliced into three equal pieces.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_90.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_90.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_90.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_90.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Morning everybody, Rose honey I hope you don't mind, I borrowed your golf club, I have a date to play this morning. With a man?\nSpeaker: DOROTHY\nUtterance: \"No Blanche, with a venus fly trap\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_378.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_378.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_378.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_378.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: (chimes) Wisten to me.\nNot westauwant; westauwant. (chimes) I don't know what you mean by \"not westauwant; westauwant.\" See? Total cwap.\nYou suck, Siwi. Hey, don't talk to her like that. \nShe's a lady.\nSpeaker: PERSON1\nUtterance: \"Well, that wady took high-wes pictures of my junk wast night for Cwaigswist.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_6645.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_6645.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_6645.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_6645.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: No you can't. You don't want to be guys, you'd be all hairy and wouldn't live as long.\nSpeaker: PHOEBE\nUtterance: \"Y'know you, you just stop being such a wuss and get those off and you come with us and watch naked girls dance around!!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_482.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_482.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_482.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_482.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: What kind of a movie is this Dorothy?\nSpeaker: DOROTHY\nUtterance: \"It's a musical Rose\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_255.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_255.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_255.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_255.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Did I go to this school? Hey, there's Missy Goldberg. You gotta remember her. Sure, nice. Dude. You're married to my sister.\nSpeaker: CHANDLER\nUtterance: \"You are right, by saying nice, I am virtually licking her.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_608.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_608.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_608.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_608.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: He doesn't need to be sarcastic. I mean, that was sarcasm wasn't it?\nSpeaker: MEMBER-GIRL\nUtterance: \"Really?\"\nShow: SARCASMOHOLICS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_209.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_209.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_209.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_209.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: We clinked at the glasses, Stan gave me a toy smile and I winked at him And then I gulped down the champaigne in one go And it didn't go sdown smoothly Later Stan told me that he put my engagement ring in the bottom of the glass It turned up three days later. Where did it turn up Dorothy?\nSpeaker: DOROTHY\nUtterance: \"On the home shopping network\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_89.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_89.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_89.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_89.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Was there ever any doubt? Momentarily. This is strictly off the record, but Dirk's nearly five years younger that I.\nSpeaker: DOROTHY\nUtterance: \"In what Blanche, dog years?\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_342.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_342.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_342.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_342.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: That's very nice of you, but I made other plans. Well, just keep in mind that should you ever need a slightly apathetic tertiary friend, I stand at the ready. Hi, Howard. Hi, Sheldon. Hello. Hey. Why are you holding hands? I forbid you to hold hands. Rajesh, you know Leonard and I spent the night together.\nSpeaker: RAJ\nUtterance: \"Yeah, but you were just sleeping, because I forboded you to have sex.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_5109.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_5109.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_5109.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_5109.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Do you really need the Honorary Justice League of American membership card? It's been in every wallet I've owned since I was five. Why? It says, \"Keep this on your person at all times.\" It's right here under Batman's signature. and this is Leonard and Sheldon's apartment. Guess whose parents just got broadband.\nSpeaker: RAJ\nUtterance: \"Leonard, may I present, live from New Delhi, Dr. and Mrs. V. M. Koothrappali.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_410.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_410.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_410.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_410.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Okay. On the count of three, I'll shoot the fire extinguisher and get him airborne. Howard, you wave the blanket and guide him towards the exit. Raj, you hold open the curtain so he can fly out.\nSpeaker: HOWARD\nUtterance: \"Are you sure a dummy like me can handle something as complicated as a blanket?\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11378.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11378.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11378.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11378.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Where'd you get fruit at four in the morning? Went down to the docks. Bet ya didn't know you could get it wholesale. I didn't know there were docks.\nSpeaker: JOEY\nUtterance: \"Hey.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_270.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_270.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_270.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_270.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: No-no-no. I don't have a son named Jordie. We all agreed, my son's name is Jamie. Well, Jamie was the name of Susan's first girlfriend, so we went back to Jordie. What? Whoa, whoa whoa whoa, what do you mean,\nSpeaker: PERSON\nUtterance: \"Ow, ow, ow, ow, leg cramp, leg cramp, leg cramp.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_162.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_162.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_162.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_162.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: You must've had your hands full That I did. That I did. So let's talk a little bit about your duties.\nSpeaker: CHANDLER\nUtterance: \"My duties?  All right.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_20.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_20.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_20.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_20.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: You liked it? You really liked it? Oh-ho-ho, yeah! Which part exactly?\nSpeaker: CHANDLER\nUtterance: \"The whole thing! Can we go?\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_172.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_172.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_172.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_172.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Alright, want some French toast? It's oatmeal day. Tell you what, next French toast day, I'll make you oatmeal. Dear Lord, are you still going to be here on French toast day? Morning. Look, Leonard, Penny made French toast. Sorry, I haven't given her your schedule yet.\nSpeaker: SHELDON\nUtterance: \"It's an iCal download. She can put it right in her phone.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_2797.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_2797.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_2797.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_2797.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Alright! Definitely!\nSpeaker: MEMBER-GIRL\nUtterance: \"Sarcasm? At a sarcasmoholics meeting?\"\nShow: SARCASMOHOLICS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_312.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_312.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_312.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_312.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: It was being sarcastic, alright I see I see I didn't realise the sarcasm was going to be so full on. I ll just stand back and start again Oh, we wouldn't bother.\nSpeaker: MEMBER-BOY\nUtterance: \"You got off to a really good start with the group.\"\nShow: SARCASMOHOLICS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_485.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_485.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_485.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_485.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: It's 2:00 a.m. What are you doing up? Nobel Prize acceptance ceremony streaming live from Stockholm.\nSpeaker: LEONARD\nUtterance: \"Sure. You want to see what all the scientists are wearing this year.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_6428.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_6428.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_6428.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_6428.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Why not \"World's Greatest Engineer\"? I'm sorry.\nI typed that into the label maker, but I just couldn't press enter. Now down to business. What would it take for you to abandon Leonard and join me in a rival company Unless, of course, the mugs are sufficient, in which case, welcome aboard. We're not quitting on Leonard.\nSpeaker: SHELDON\nUtterance: \"I understand. Your loyalty is admirable. But what if I were to up the ante?\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_4850.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_4850.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_4850.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_4850.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Say what? That's basically what I just said. You brought your husband to work. You know the rules. Mesa thinking yousa looking pretty sad now too, betcha, betcha. Leonard, it's 1:00. Weren't you going to show me your laboratory at 1:00?\nSpeaker: LEONARD\nUtterance: \"There's no hurry. Tell them more about their secret love for each other.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_2075.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_2075.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_2075.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_2075.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Ah…I do so love beverages. Now I think I'll take my after-dinner walk. Since when do you take after-dinner walks? Yeah, since when do you take walks?\nSpeaker: SHELDON\nUtterance: \"I read a study online that walking after a meal not only aids in digestion, but increases serotonin, and you know me, if there's one thing I like more than a refreshing beverage, it's serotonin. Bye-bye.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_3840.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_3840.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_3840.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_3840.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: I can't figure this out! It's so hard! Should I get her a  Tiffany cut or a Princess cut or a,ah-ah!\nSpeaker: CHANDLER\nUtterance: \"Paper cut!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_134.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_134.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_134.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_134.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Okay, I can do that! Oh, by the way, I Why don't we do a trial run. Oh okay. Umm, all right.  Hi, this is Phoebe from Empire Office Supplies, can I speak to your supply manager please?\nSpeaker: PERSON\nUtterance: \"I'm the supply manager.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_473.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_473.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_473.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_473.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: What choice did I have? She went behind my back and turned my own mother against me. Wow. You're not only our first astronaut.\nYou're also the first one of us to kick a girl out of bed. You're like a rock star. Little bit. I hate to say it, but she did kind of betray you.\nSpeaker: SHELDON\nUtterance: \"You see betrayal in others, but not yourself.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_6032.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_6032.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_6032.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_6032.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Hey you guys I'm gonna go out and take a walk. Phoebe, why is your bag moving? Oh, it's not!\nSpeaker: RACHEL\nUtterance: \"Seriously, it's moving!\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_118.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_118.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_118.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_118.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: No rose. Are you upset because Blanche is going to sell the house and we can't live together.\nSpeaker: DOROTHY\nUtterance: \"No I am upset because Joe Piscapo didn't get the lead role in rain man.\"\nShow: GOLDENGIRLS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_126.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_126.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_126.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_126.pt"], "task": "sarcasm_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nContext: Oh, great. Although I did sit down where there wasn't a chair. By the way, Ross dropped by a box of your stuff. Oh, well, I guess I had that one coming.\nSpeaker: RACHEL\nUtterance: \"I'm just gonna throw it out, it's probably just a bunch of shampoo and...\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_79.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_79.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_79.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_79.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Okay, well Ross, what is this really about? Look, this is my home and I want to be able to come and go whenever I want! Okay, I will find someplace else to do the rest of my appointments. I just don't know what the big deal is!\nSpeaker: ROSS\nUtterance: \"The big deal is I don't want naked, greasy strangers in my apartment when I want to kick back with a puzzle,beer! Cold beer.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_36.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_36.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_36.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_36.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Hi. Hello. Oh, and a special hello to Leonard, who needs to be mentioned by name. Subtle. But you got it, right? Hey, guys. Hey. Hi. Hello. I just want everyone to know, uh, tonight's not a sad occasion.\nSpeaker: BERNADETTE\nUtterance: \"Yeah, we just want to have the kind of dinner that we've all had here so many times before.\"\nShow: BBT\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/1_11889.mp4"], "audios": ["mmsd_raw_data/utterances_final/1_11889.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/1_11889.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/1_11889.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nContext: Okay, that-that's all for today. Oh, uh does anyone know where the Freeman building is? Yeah, it's the new building on Avenue A.\nSpeaker: ROSS\nUtterance: \"I'm supposed to teach a graduate seminar there in ten minutes.\"\nShow: FRIENDS\nThe above is a video and audio recording from a conversation. Is the speaker being sarcastic in this utterance? Answer with one phrase: sarcasm or not sarcasm.\n\n", "answer": "not sarcasm", "images": [], "videos": ["mmsd_raw_data/utterances_final/2_405.mp4"], "audios": ["mmsd_raw_data/utterances_final/2_405.wav"], "dataset": "mmsd", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/mmsd_raw_data/utterances_final/2_405.pt"], "ext_audio_feats": ["opensmile/mmsd_raw_data/utterances_final/2_405.pt"], "task": "sarcasm_cls", "class_label": "false"}
{"videos": ["cmu_mosei/Raw/val/--qXJuDtHPw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I see that a writer is somebody who has an incredible command of mechanics of the English language.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/--qXJuDtHPw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/--qXJuDtHPw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/--qXJuDtHPw/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/-571d8cVauQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is Rhett Reiger, White Caspian Studios on behalf of Expert Village.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-571d8cVauQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-571d8cVauQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-571d8cVauQ/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/-571d8cVauQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'However, again on a low budget film there's not often money to pay a crew of people to go out and do this.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-571d8cVauQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-571d8cVauQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-571d8cVauQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/-571d8cVauQ/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So very important to go out to the locations, walk around, talk with the owners if you can, tell them what you're doing, build a little excitement, put a little glitz on there and let everybody knows this is a very valuable spot.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-571d8cVauQ/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-571d8cVauQ/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-571d8cVauQ/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-I_e4mIh0yE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the United States we don't punish failure to the degree to which failure is punished in Europe.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-I_e4mIh0yE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-I_e4mIh0yE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-I_e4mIh0yE/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/-I_e4mIh0yE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's perceived that you have actually learned something, over the course of your carreer, and that you won't make the mistake twice.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-I_e4mIh0yE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-I_e4mIh0yE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-I_e4mIh0yE/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-I_e4mIh0yE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My understanding is that in much of the rest of the world, including much of South America and much of Europe, there is a huge fear of failure, and I think that fear of failure, people taking the safe path as opposed to the riskier path, keeps people from imagining and inventing the Googles or Facebooks of the future.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-I_e4mIh0yE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-I_e4mIh0yE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-I_e4mIh0yE/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/-UacrmKiTn4/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because, if they are not in any way held accountable for reading the material they won't do it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-UacrmKiTn4/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-UacrmKiTn4/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-UacrmKiTn4/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-UacrmKiTn4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just given to their own devices they are not going to read the textbook.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-UacrmKiTn4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-UacrmKiTn4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-UacrmKiTn4/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/-UacrmKiTn4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, you don't want to lecture straight out of the textbook.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-UacrmKiTn4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-UacrmKiTn4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-UacrmKiTn4/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/-UacrmKiTn4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You want your lectures to be different than your textbook material, but it's important that you test the students on the textbook.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-UacrmKiTn4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-UacrmKiTn4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-UacrmKiTn4/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's only getting better from now' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Discussion, how to discuss ideas and opinions more effectively than a native speaker' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Picture this, before we actually start hacking, we're in a room formal setting' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Here we have the general managers, here we have the executives, here we have our shareholders' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some people are thinking \"I want to be an executive\"' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One finished still within buy range, another hit profit-taking zone after breaking out a little while back, so to find out what all of those are, keep an eye out for the link in the description I'll have all of the analysis for you and make sure to share your comments with us.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We always love to hear what you say, and like and share this video as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have more after-hours updates coming for you as well as intraday updates and ETF updates, so keep an eye out.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/-uywlfIYOS8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then from a brand point of view, we need to make sure we're driving the relevant insight.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-uywlfIYOS8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-uywlfIYOS8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-uywlfIYOS8/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/-uywlfIYOS8/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And you saw some of the leading brands out there like McDonalds, like General Mills and Coca Cola, who are doing such a great job of tapping into those insights and bringing them to life in their advertising.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-uywlfIYOS8/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-uywlfIYOS8/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-uywlfIYOS8/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/06st0Ez_E_I/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think the change that we're seeing in marketing in general, is again, it used to be thinking, I think marketing as a cost.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/06st0Ez_E_I/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/06st0Ez_E_I/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/06st0Ez_E_I/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/06st0Ez_E_I/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We were talking to a CMO earlier who said one of his first jobs is to own the PNL.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/06st0Ez_E_I/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/06st0Ez_E_I/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/06st0Ez_E_I/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0utROiKxejc/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Business was good initially but companies has a tend to launch new products every month.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0utROiKxejc/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0utROiKxejc/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0utROiKxejc/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0utROiKxejc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now every customer wants to purchase the latest version of the product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0utROiKxejc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0utROiKxejc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0utROiKxejc/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0utROiKxejc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When I approached the wholesalers regarding this, they didn't helped me and they will not accept returns and because of these conditions, I went into huge losses.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0utROiKxejc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0utROiKxejc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0utROiKxejc/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Tie them as symbols on your hands and bind them on your foreheads' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Write them on the doorframes of your houses and on your gates' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When what you say does not line up with what you do, they will reject it faster than you can blink' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Deuteronomy 6:7-9 In other words, God is not a part of your life, He is your life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'God's not just an add on, He is the center of everything you do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, here's where I'll get push back, and I hear this all of the time' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"But I don't want to shove it down my kid's throat and then they will reject it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Based on my experience, here's what I've seen' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'when you do shove it down your kid's throats, and there is hypocrisy in the home, they will reject it every single time' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/101787/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, this is my review of this movie, Six Days and Seven Nights' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/101787/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Which is a nineties Harrison Ford, semi-action, more romantic comedy flick' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/101787/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Mine as well be Han Solo in the Caribbean' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/101787/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) His character hates tourist, so of course he has to spend a week with Anne Heche, a tourist, and they have some romantic involvement' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/101787/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They get stranded together on a deserted isle' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/101787/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's kind of (uhh) Castaway like, except Castaway is really good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/101787/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I give this a two' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/101787/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I can't really honestly give it anything better than that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/101787/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Despite how serious he look here on the cover there's not a lot of action going on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/101787/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's him and Anne Heche' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/101787/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'She's the love interest' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/101787/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) pretty funny but all in all, not not worth the price of admission' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/101787/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the DVD widescreen edition so you can actually enjoy the full aspect' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/101787/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was actually some good scenery in this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/101787/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some good stuff to watch' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/101787/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But (umm) Harrison Ford plays his (stutter) normal character, a gruff cargo pilot' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/101787/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/101787/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/101787/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102408/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I recently got to see the movie TMNT' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102408/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(stutter) Teenage Mutant Ninja Turtles (uhh) movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102408/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) not necessarily by choice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/102408/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We happened to go to the drive in and it happened to be the second movie on and we happened to have some little friends with us that were little boys so needless to say we stayed and watched the movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102408/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The little boys liked it, the little girls fell asleep' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102408/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I couldn't wait til it was over, but you know if you have little boys then, you know, they probably would like this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/5.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/102408/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It might be one to wait though, and not go to the movie (uhh) theater and see, but I would wait for it to come out on video and then maybe rent the video' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/6.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/102408/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't think it would be worth taking the whole family to the movies to see it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/102408/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I don't know, it was just kind of boring' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/102408/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe it's just because I don't have little boys so I'm not really into the little (uhh) characters like that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/102858/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, everybody' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is Helsing920 (stutter), and I've got a DVD review for everybody' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Regardless (umm) all three specials are just awesome' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102858/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And this and this (stutter) disc, unfortunately, you really aren't going to find it in stores until around October, when everyone starts stocking up on Halloween DVDs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102858/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, that's when I got this thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/102858/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or I should say, that, that, that (stutter) is when my family picked up this thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/13.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I sat down and I I (stutter) watched the whole thing at once' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/102858/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then, Thanksgiving, I watched it all again' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/15.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then Christmas, I watched it all again' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/16.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I watched this thing three times in three months' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/17.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's saying quite a bit, guys' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, yeah, Garfield's Halloween, or Holiday Celebrations' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/19.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And even though it is only, right now, at least, it is only, you know, July, I'm talking about holidays today, specifically, three of my all-time favorite holiday specials on one disc' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This thing, if you guys don't have it, you're going to need it for your holiday DVD list' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/20.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm giving this beast a four out of, (stutter) I mean, (uhh) wait, four, no' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/21.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This sucker here gets full honors, guys' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/23.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102858/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Five out of five' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/24.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/102858/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if you can find it, pick it up' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/25.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/102858/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm talking about Garfield Holiday Celebrations' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/102858/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This one disc contains not only Garfield, not only Garfield's Halloween, Halloween (stutter) Adventure, a special I've I've (stutter) watched almost every year since I was about four, but it also has Garfield's (stutter) Thanksgiving, which is a pretty funny little short, funny little special, and A Garfield's Christmas, which is just absolutely awesome' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Honestly, if you are a fan of Garfield in any way, you're going to absolutely adore this thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102858/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's probably three of the best (stutter) holiday specials made in the last (uhh) let's see' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/102858/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Let's see (stutter) now, the Halloween special, a little, I'm going to go about twenty-five years' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/102858/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's being really generous, because I know that the I know that the (stutter) Halloween Adventure was made after I was born, and I was born in eighty two' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/102858/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But still' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/112433/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi my name is Jordan and I would like to review Pirates of the Caribbean three, at world's end' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/112433/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Frankly, I I've (stutter) seen the first two so I knew the kind of you know wonderings that the characters you say undertake but after seeing the third I was horribly disappointed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/112433/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/112433/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It it (stutter) was so confusing about what was happening' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/112433/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Half the movie was not fighting was you know backstabbing and underhand dealings and you never know who was on who's team and what was going on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/112433/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Really not I think in order to see this movie, you would have to watch the first two right beforehand to understand it properly because, coming out of that theater after two and a half hours, I still had on idea what was going on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/112433/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I don't know what the movie directors were thinking I guess they decided that by throwing as much fancy computer graphics as they could they would cover up the fact that there was absolutely no plot' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/112433/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Really, (uhh) unless you're a die hard fan, I would not recommend this one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/112433/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You're really not missing out on anything' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/112433/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) And in fact, you know a lot of the character development was kinda (uhh) was a little bit angering such as (umm) you know Keira Knightley's development' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/112433/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am not going to give away the plot if you do want to see it but (umm) but I was very disappointed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/117tQqLjza4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dell has dell.com, one of the largest sites on the internet.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/117tQqLjza4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/117tQqLjza4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/117tQqLjza4/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/117tQqLjza4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And they're doing creative things there to make sure that they leverage whatever inventory they have that is appreciated by the eBay buyer.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/117tQqLjza4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/117tQqLjza4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/117tQqLjza4/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/11j7EfglCAs/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It secures the fact that the creditor is going to be repaid for the service that they're giving.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/11j7EfglCAs/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/11j7EfglCAs/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/11j7EfglCAs/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/11j7EfglCAs/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is a lien placed on that property and it will not be released until the loan is paid for or satisfied, as it's said in the world of credit, over time.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/11j7EfglCAs/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/11j7EfglCAs/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/11j7EfglCAs/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/11j7EfglCAs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's normally the course of action when investors are putting up assets they pledge their assets for security and receive loans, and they're able to grow their wealth with this effective planning strategy tool.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/11j7EfglCAs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/11j7EfglCAs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/11j7EfglCAs/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a review of the movie Ratatouille' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/121128/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's a movie about a rat who lives in the French countryside but (umm) he dreams of becoming a famous chef' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/121128/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) But I still think that kids would enjoy it equally as well' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) So he ends up making his way to Paris and once he's there he meets a human boy (uhh) who gets a job at a French restaurant' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The rat is able to control the boy so that (umm) the boy's making the dishes that the rat wants him to make' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/121128/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As a result, the boy becomes famous for making such delicious food when really the rat is the one who is responsible for (uhh) making the dishes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/121128/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This movie was excellent' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/121128/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I would recommend it to anyone' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think that (uhh) it would appeal to all age groups' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) In fact I think that the movie was perhaps geared toward a more mature audience' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/121128/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) A lot of the humor felt more mature than than (stutter) in previous Pixar movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/125344/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Harry Potter and the Order of the Phoenix yes Harry Potter's back and I think he's forty seven in this one no no he's not that old but (stutter) he's starting to look old in the movies they're all starting to look all grown up, and (umm) I'll admit it that I'm I'm (stutter) a dork and I enjoy the Harry Potter movies not saying everybody that enjoys Harry Potter movie is necessarily a dork, but (umm) I'm an older gentleman and I enjoy the kid movies but (umm) it's a very good movie (stutter) I mean the the the (stutter) movies in general are very good they the first one was really good the second one was still pretty good, and they just went on downhill from down there, this one wasn't very good I mean I didn't think it was that good (umm) Harry's back in school yet again and I think this is his fifth year, and (umm) this time new people are taking over Hogwart the school, see I told you I'm a dork I know the names of the school, and (umm) they're trying to discredit Harry saying that Lord the the (stutter) bad guys coming back I don't know his name Valdemort, Valdemont (stutter) I know it begins with a V I know that much but they're trying to discredit him and (umm) to me it just seems I don't know maybe i'm growing up whenever the first one came out I was a little younger than I am now but (umm) I didn't enjoy this one and I'm sure kids will enjoy it, I I (stutter) mean there was a lot of magic and the acting in it was really good, and (umm) the scenes were really good the (umm) the magic scenes looked awesome, but (umm) I just didn't enjoy it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125344/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125344/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125344/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/125676/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi today I'm gonna review this DVD Ten Items or Less' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/125676/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a short documentary film that stars Morgan Freeman and Paz Vega' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/125676/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'd probably give it two and a half stars and (umm) that's about it for this one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/125676/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It was really very strange movie (umm) I guess it's from the documentary style' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/125676/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It deals with (uhh) the Latino community and this underprivileged girl who works at a grocery store and Morgan Freeman is this older, out of work movie star who sort of takes up to her and (umm) tries to help her and build her self esteem' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/125676/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The character {cough} the characters (umm) you really learn to enjoy their (umm) their bond that they build between each other' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/125676/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But as far as the movie (umm) it was just not a (umm) very exciting movie, I couldn't really figure out the plot to the story' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/125676/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean it had a plot but it was sort of like what's the point' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/6.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/125676/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) They did a good job with the acting but the storyline just didn't hold up as far as I was concerned it was just too much just normal everyday life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/125676/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) {cough} This particular one is rated R and it's only eighty-two minutes long' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/125676/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's English with (uhh) Spanish subtitles, and (umm) I probably wouldn't really recommend it I mean if you have it it's fun to watch but I probably wouldn't recommend buying it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128059/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'll be reviewing the DVD version of Fantastic Four' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128059/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I was really disappointed with this movie you know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/128059/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's it's (stutter) a popcorn flick you know definitely' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128059/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's not even, unfortunately it's not even that great of a popcorn flick but you know, if you like this kind of movie you know, you probably wanna pick it up' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128059/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Special features is not so bad (uhh) you know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128059/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's got a commentary from some of the actors and the director' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/128059/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's got a video diary from the filming, behind the scenes (uhh) you know some deleted scenes, a making of documentary' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/128059/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's your usual bunch' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128059/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean it's not that bad as far as that goes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128059/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But (uhh) you know it might be worth checking out, (uhh) you know if you like this kind of thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/128059/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I wasn't I'm not a huge fan of Fantastic Four' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128059/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My limited experience with comics to begin with but this just, was just kind of a an (uhh) movie, you know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128059/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's just kind of the big, super slick you know, action blockbuster that's you know, a lot of lot of (stutter) you know, colors, a lot of style but not really much substance behind it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/128059/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) You know Michael Chiklis does a pretty good job but he's really the only (uhh) you know decent actor' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128059/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You know, the people the people (stutter) who get this you know, Jessica Alba's a good actress too but (uhh) he just you know, gives a pretty decent performance or worthwhile performance you know, a bunch' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128059/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) You know, if you don't know what it's about (uhh) you know it's a team of scientists that go up into space to explore this kind of radiation field that's going by earth and you know it ends up you know destroying their station and when they get back they all develop super powers you know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128059/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Four of em become the Fantastic Four and you know the fifth one (uhh) becomes you know the evil (uhh) the evil (uhh) the evil villain you know that they have to fight and save the world against' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/128059/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) You know like I said, it's it's (stutter) an alright movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/128763/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm here to review this movie (umm) Jeepers Creepers two on DVD' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128763/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the (uhh) special edition DVD' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/128763/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) So all the killings are really gruesome and (umm) it was really gross' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128763/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Didn't really like this movie, just because of all the blood and all of the (uhh) all the gross, like, sick killing scenes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128763/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean if you're into that kind of stuff then I mean I would suggest it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128763/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This is the (uhh) second movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128763/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There was Jeepers Creepers one, and (umm) I mean I didn't like this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/128763/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I'm not a really big fan of horror movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/128763/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was about this (umm) high school team' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128763/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They (umm) they get stranded on a (uhh) their bus breaks down and then (umm) they're trying to survive this (umm) this maniacal killer who's like killing them off one by one and (umm) you know he's he's (stutter) selecting who he wants to kill and everything and they're trying to stick together' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128763/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're just trying to survive (umm) I mean like anyone would do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/128763/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're definitely just trying to survive' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/128763/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's very gory' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/130456/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/130456/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is Donnie Darko' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/130456/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There's just so much things' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/130456/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It it (stutter) involves like, (uhh) theoretical physics and just so much stuff and Donnie Darko no matter how weird he is is still really funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/130456/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's (umm) definitely a cult movie favorite' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/130456/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's, out of five stars, I would give it a five' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/130456/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It follows this boy Donnie Darko, played by (uhh) Jake Gyllenhaal' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/130456/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And He's he's a very weird kid' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/130456/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) He sees this this (stutter) like demented bunny who tells him when the world is going to end and Donnie just has to figure everything out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/130456/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's definitely dark' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/130456/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Not recommended for kids at all' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/130456/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I really like how it's done because, if you watch this movie five times you will still not understand everything about it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/188343/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Bruce and today I'm reviewing The Host which is now out on DVD' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/188343/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is actually a Japanese film, it's a monster movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/188343/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) We (uhh) enjoyed seeing the (uhh) the subtitles (uhh) versus the, the (stutter) dubbed voices, dubbed American voices (uhh) and how the dialogue (uhh) differed from the subtitles on the screen' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/188343/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) and so you might enjoy that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/188343/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But all in all it's it's (stutter) not a very good movie and so I would not recommend it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/188343/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But (uhh) like I said it might be (uhh) good for a laugh (umm) if you really like monster movies or if you (uhh) like Japanese films' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/13.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/188343/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So anyway that's my review of The Host, now out on DVD' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/188343/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Available at your local video store or Redbox' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/188343/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was (uhh) very well (uhh) reviewed on the (uhh) the movie poster (umm) and so I was (uhh) taken in to (uhh) check it out and see if it was a good as the reviewers said' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/188343/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unfortunately it was not' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/188343/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) What you're watching right now is the scene where (uhh) this monster, this (uhh) sea creature is first found' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/188343/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Where it's about to drop in the water and (uhh) mayhem begins' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/188343/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But basically it's the story of a dysfunctional Japanese family that (uhh) ends up coming together in order to save (uhh) the young girl that is (uhh) taken (uhh) by this (uhh) sea monster' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/188343/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I definitely would not recommend it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/188343/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) We actually had to skip through some of the movie because it just got so drawn out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/188343/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But (uhh) if you enjoy seeing foreign films (umm) you might (uhh) have a little fun with it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/1HK7Nea0PFo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Scott Reed talking: I think right now where we are . . . the hardest thing that we face is, having kind of established what the game is, . . . uh, we know we don't have to keep reinventing the wheel every year and that's fantastic.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/1HK7Nea0PFo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/1HK7Nea0PFo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/1HK7Nea0PFo/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/1HK7Nea0PFo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But now I think our . . . our hardest work is . . . legitimacy.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/1HK7Nea0PFo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/1HK7Nea0PFo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/1HK7Nea0PFo/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/1HK7Nea0PFo/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Making sure that we don't just build the engaging game but that we're articulate about our reasoning and our purpose for wanting to do it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/1HK7Nea0PFo/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/1HK7Nea0PFo/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/1HK7Nea0PFo/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/1HK7Nea0PFo/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think now going into our fifth iteration of the game our . . . one of our big challenges is making sure we're articulating that to everybody else, make sure that they understand that there's value, hopefully, in what we're doing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/1HK7Nea0PFo/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/1HK7Nea0PFo/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/1HK7Nea0PFo/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/216097/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm here to review the movie When Worlds Collide' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/216097/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There are really no known actors are in this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/216097/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's directed by George Pal who did many other (uhh) science fiction movies during the fifties' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/216097/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In it, an astronomer discovers a planet and it's moon are in a direct collision course (uhh) with the earth' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/216097/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He goes to the world governments who think he's a crackpot and really have no interest in building a rocket ship to try to (uhh) save a few people kind of like a Noah's arc to another planet' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/216097/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So he goes to private invest investors (stutter) and a few millionaires (uhh) decide yes (uhh) the human population is worth saving' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/216097/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So they give all their money to him' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/216097/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's able to save forty people (uhh) on his rocket ship, which I found pretty interesting since he has thousands working for him to build his rocket ship and most of them know that hey, the only chance is for forty people getting out so why am I wasting all this time and energy to helping forty people get away when the astronomer, his daughter and her two boyfriends are already guaranteed four of the forty spots on the rocket ship' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/216097/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The special effects aren't all that good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/223431/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello expo' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/223431/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm here to review Alien Versus Predator: Requiem' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/223431/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Definitely gets tireless after a while {laugh}' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/223431/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't expect much in in (stutter) acting or anything like that, it's pretty much just classic Alien Versus Predators' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I would recommend waiting for a movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I don't think you should go see this in theater or even pay matinee for this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/13.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just wait for a movie to come out and enjoy it then' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/14.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I went to this movie and I was greatly disappointed but maybe I shouldn't have been at this point cause I shouldn't have expected much from it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/223431/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The movie was a classic Alien Versus Predator' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/223431/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's pretty much the story of (uhh) a ship crashing, a predator ship crashing, from the (uhh) last one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Crashes on earth in a small town and aliens get loose and start killing all the inhabitants' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/5.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) So a Predator has to come and save and hunt these aliens' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/223431/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) So I mean if that's what you're after, if you're all after is is (stutter) a Predator killing aliens then fine' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/223431/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The bad part is there's only one Predator, which kind of sucks' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/223431/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So you didn't get to see a bunch of different cool things like in the others' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/225770/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, today I'm reviewing The Exorcism of Emily Rose (uhh) starring Laura Linney' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/225770/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This movie is supposed to be based on a true story' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/225770/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You do feel like she's being tormented (umm) but there just was not enough of it to support the movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/225770/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There are some haunting special features on this one (umm) some commentary, some deleted scenes (umm) and some other featurettes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/225770/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) If I had to rate this one I would say probably leave it alone' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/12.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/225770/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's gonna get a one out of five from me' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/225770/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Just not enough of the actual exorcism (umm) to make it worth viewing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/225770/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The previews for it looked really really really good, (umm) but it was not quite what I expected' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/225770/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I expected something more along the lines of an The (stutter) Exorcist (umm) where it actually shows the story of the girl and the priest coming in and and performing the exorcism and going through it step by step like that and that just doesn't happen in this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/225770/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This is actually told (uhh) from the point of view of a priest who (umm) performed the exorcism on Emily Rose' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/225770/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it starts at his trial' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/5.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/225770/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's on trial for (umm) completing that exorcism and the only time you get to see Emily Rose is actually through flashbacks or through his storytelling' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/225770/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The parts where you actually get to see her and what she's going through (umm) with demons possessing her are great' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/225770/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) If the whole movie would've been like that this definitely would've been, you know, one of my top movies of all-time because the part where it's focusing on her is well acted' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/225770/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The girl in this movie did a really really good job' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/236021/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Valerie and today I'm going to be reviewing the movie Fred Claus' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/236021/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's currently out in theaters and it's about this guy named Fred and he is Santa Claus's brother' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/236021/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But (umm) not my type of Christmas movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/236021/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, that's Fred Claus' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/11.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/236021/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Go check it out, if you want' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/236021/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it's around the holiday times when everyone's getting ready for Christmas and they're getting all their toys set and (umm) so they have their little family get togethers and (umm) Fred doesn't really get along with anybody really' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/236021/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He thinks the whole situation is silly' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/236021/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So he kind of (uhh) steps in one day and looks after things at the North Pole and then it turns into this big party and everything goes kind of crazy havocy and so, Santa Claus's brother doesn't really like that too much and so I don't know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/236021/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's (uhh) it's kind of a kid movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/236021/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I personally didn't really like it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/236021/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I would rate it a two out of five' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/236021/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It seemed like he was just trying too hard I guess' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/236021/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But if you're a really young kid you may find it entertaining and nice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/237009/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi Expo, this is Nikki' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/237009/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is my review on the movie National Lampoon's Christmas Vacation Two' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/237009/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Eighty-three minutes long' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), it should be rated junk' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), so if (uhh) you really want to (umm) yeah, don't don't (stutter) waste your time, it's it's (stutter) really terrible' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/237009/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) definitely not as good as the first' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/237009/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I think they were reaching for this one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), I think since they had (umm) such a good one the first time' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), I think they thought that they could probably put another one together and (umm) my personal opinion, I think they failed miserably, but, you know, again,that's my opinion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/237009/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I wouldn't recommend this to anybody, really' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I was just greatly disappointed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/237009/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Randy Quaid xxx yeah, {laugh} there's some funny things that he does, but he did those things in the first one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/8.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/237009/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) it's (uhh) not rated' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/9.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/241629/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello and welcome to my review of the movie Twenty-Seven Dresses' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/241629/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This movie (uhh) starring Katherine Heigl (uhh) most of you probably know her from (uhh) either Grey's Anatomy (uhh) the ABC tv show' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/241629/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So overall I would not recommend seeing this movie I would give it two out of five stars' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/241629/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or (uhh) (uhh) you may also know her from the movie Knocked Up' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/241629/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Knocked Up was a hilarious movie that I really enjoyed and (uhh) was expecting something along that lines for this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/241629/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's about (uhh) a girl who's kind of proverbially always a bridesmaid never the bride, (uhh) hence the name of the movie Twenty-Seven Dresses' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/241629/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) She's been in twenty-seven different weddings and has twenty-seven hideous bridesmaid dresses to prove it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/241629/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's just kind of one of those predictable movies that (uhh) I don't think I would recommend going to see' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/241629/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I I (stutter) was pretty disappointed with with (stutter) it overall' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/241629/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's just you know, I had a few laughs and that sort of thing but nothing you know just, compared to Knocked Up which was just absolutely fall on the floor laughs I didn't think it was nearly as good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/241629/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) You know Katherine Heigl does (uhh) a a (stutter) good job and she is kind of settling into a comedic role, (uhh) so she does a good job acting it's no, not (stutter) a problem with the acting it's more a problem with the story' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/243646/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/243646/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I wanted to do a review on the movie, The Heartbreak Kid' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/243646/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But, (umm) what I wanted to say about this movie is that I am going to give it a one out of five stars just because if you have any morals what so ever, you won't watch this movie just because one, it's very crude (umm) so much unnecessary stuff goes on, (umm) seems like there's always sexting or something inappropriate so I don't recommend it for kids and two, it promotes like saying like it's okay to (umm) divorce and just you know garbage like that (umm) which you know there's so much divorce already and in, you know, United States, why do we need a movie saying it's okay so basically what happens he meets this girl and they get married and they go on their honey moon and then he starts hanging out with another girl but I'm not going to ruin it but, yeah' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/243646/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like, like (stutter) I am saying, you know, I don't know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/243646/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just, I didn't (stutter) think the movie was that good and (umm) without ruining anything just I mean, think about your morals {laughs} so that's my (uhh) opinion on this and what will he do you know Is he going to be a man What's he going to do But Alright this is The Heartbreak Kid' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/243646/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Yeah' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/243646/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Let me just show you a little clip first' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/243646/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '894} Alright' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/243646/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That clip right there was (uhh) {cough} (uhh) this guy you know he's (umm) had some girlfriends but he's kind of afraid of commitment and (umm) he, for some reason, he is kinda good friends with some of his previous and he was at a wedding of one of his girlfriend's, previous girlfriend's, wedding' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/243646/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There's the movie as you can see' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/243646/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Case' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/247318/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello Expo TV' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/247318/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I have for you a review of a movie currently in theaters the Bee Movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/247318/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I give it two out of five stars' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Perhaps you know, (stutters) two out of five instead of one out of five because I did laugh sometimes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It just didn't do it for me though' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/12.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was it was all in all a bad movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/247318/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I would not recommend it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/247318/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) In my opinion the Bee Movie is exactly that, a B movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'B here standing for bad' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/247318/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) In some ways I look at this movie as (umm) an attempt, I don't know by either (stutter) the actors in the movie or the company who produced it to get back on it's feet or something it didn't really' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was supposed to be a comedy, an animation and perhaps a kids movie and it was that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/247318/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was a kids movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/247318/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It wasn't very funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/247318/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It wasn't very entertaining' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/8.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/247318/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It really didn't (uhh) add anything and give anything know to you know (umm) cinematography (stutter) (umm) It's basically just what the title says, a bad movie, a B movie (umm) and I really do think that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/252998/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm here to review the movie The House of Yes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/252998/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Starring Parker Posey, Josh Hamilton, (umm) Tori Spelling, Freddie Prinz Junior' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/252998/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This was a movie about an eccentric rich family living in Massachussetts who are (umm) obsessed by the Kennedys' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/252998/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Josh Hamilton plays the son, he's bringing his fiance to meet his family for the first time' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/252998/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) His his (stutter) mother tries to buy her off (uhh) but it's his sister Parker Posey who is (umm) completely obscene, {laughs} or not obscene, insane and obsessed (umm) by her brother who probably most frightens us (uhh) in this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/252998/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The movie is billed as a dark comedy but (uhh) I didn't really find it all that funny, I found it kind of ridiculous and (uhh) maybe bizarre' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/252998/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If if (stutter) that's a good word' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/6.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/252998/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I think the best line in the movie comes from Tori Spelling when she looks at Parker Posey and says no you're not insane you're just incredibly spoiled' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/252998/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The House of Yes a rounding no' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/257247/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey, y'all' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/257247/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's the king of movies here, and today I'm going to review ten thousand BC, (uhh) which recently came out in theaters' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/257247/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of it's kind of bad' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/257247/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There, it just wasn't my cup of tea' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/257247/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Wasn't well executed, pretty formulaic, bad ending, wouldn't recommend watching it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/257247/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's (uhh) from the director of Independence Day and the Day After Tomorrow' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/257247/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And (uhh) while I found those films (uhh), particularly Independence Day, to be pretty good, (umm) (uhh) ten thousand BC fails in that department' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/257247/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's about basically a, a (stutter) tribe of people who, (uhh) you know, like someone who (uhh) one, one (stutter) person gets (uhh) like a princess kind of deal happens where (uhh) she gets kidnapped and basically the tribe goes out to rescue her and then they meet other tribes and a whole kind of war happens' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/257247/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I thought the ending especially was, (uhh) was pretty horrible' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/257247/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I don't want to ruin it, but (uhh) they, let's just say that they tried to surprise the audience all of the sudden with (uhh) a kind of (uhh) (uhh) just just (stutter) new (stutter) introduction of new characters, and I thought that was fairly week and disappointing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/257247/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's, (uhh) it's been getting (uhh) pretty negative reviews by the press, but I tried to go into it with an open mind, (uhh) particularly because I liked Independence Day and (uhh) unfortunately it failed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/257247/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The CGI, (uhh) there was a lot of CGI' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/257247/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of it's good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/258654/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, today I'm going to review Semi-Pro starring Will Ferrell this is a movie that's basically a vehicle for more crazy Will Ferrell zany antics (uhh) he's playing a basketball player this time and that's basically all the plot there is to it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/258654/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It really has no plot, just an excuse for Will Ferrell to do crazy dumb things and (uhh) basically I think Will Ferrell might be out of schtick (uhh) all of his movies have been kind of dropping off into being repetitive and dumber and dumber and this one is probably the worst movie he's ever made' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/258654/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This has happened to a lot of the Saturday Night Live alum and (uhh) speaking of Saturday Night Live movies it's just to give you an idea, I would say of all the bad movies that have ever come out of their characters this one would probably just barely beat Ladies Man' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/258654/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a really bad movie, it has no plot whatsoever and I really had high hopes for it because at his best Will Ferrell can be (uhh) apparently zany and funny, but spent a lot of money advertising (uhh) this movie, had multiple spots during the superbowl' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/258654/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They even put the semi-pro character into the sports illustrated swimsuit edition' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/258654/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You really couldn't get away from it and then you see the movie and really, really disappointing and it kind of think if it spent some money on writing instead of advertising it might have been a little bit better' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/266791/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I'm reviewing the movie, The Happening' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/266791/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) {clears throat} My problem with this movie isn't so much the plot' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It was probably a good idea when M' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Night Shyamalan created it, when he thought of it, (umm) but unfortunately, most of the time, the actors actually find themselves walking or running, rather, away from the wind' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/266791/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They run away from the wind' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/266791/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) If that sounds exciting to you then maybe you can go check this movie out, but otherwise, don't bother' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The problem is also that the dialogue and the acting are atrocious' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) That's probably the best word I can use to describe this movie is just atrocious' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/16.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The Village and Lady in the Water were sub-par movies compared to the three movies that he made originally, but they were at least well made films (uhh) this I'm surprised this movie actually got any kind of release, any kind of distribution' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The dialogue is horrible' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Dialogue's never really been his strong suit, but he usually casts decent enough actors or, at least, gets the best out of the actors that he casts to make up for it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/266791/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The Happening is the latest movie from writer director M' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) With Bruce Willis or Mel Gibson, (umm) Paul Giamatti, (uhh) Bryce Dallas Howard, they're all decent actors in his movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/20.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I don't know if it was teaming up with Mark Wahlberg, who has is notori notoriously (stutter) wooden actor I don't know if that hurt the film, or not, but he also did not get anything out of John Leguizamo or Zooey Deschanel, who are usually pretty fine actors themselves' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/21.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, I don't know what exactly happened here, but the acting, it feels like the words are being read off of a script' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/22.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As you're watching the movie it looks like they're actually looking at cue cards and reading these words for the first time, that's how the delivery is' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/23.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/266791/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it doesn't help that the words they're delivering are just dumb' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/24.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I almost walked out of the movie, but I wanted to stay till the end' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/25.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I wanted to see how it wrapped up' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/26.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/27.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The beginning of the film where the construction workers start to kill themselves, it's towards the very beginning of the film, (uhh) that was the first real sign of trouble, for me, was the acting by the lead construction worker' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/27.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/27.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/27.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, from there, it just went downhill and it went really over the top when (uhh) they were in some diner and a lady is looking at her iPhone, which is horrible product placement, and watching some ridiculous video about a guy in a tiger pit' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/28.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/29.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Obviously CG' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/29.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/29.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/29.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Night Shyamalan, who previously directed the good movies Sixth Sense, Unbreakable and Signs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/266791/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Bad CG' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/30.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just terribly done' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/31.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/32.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Terribly delivered dialogue while they're watching it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/32.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/32.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/32.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/33.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's just an awful movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/33.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/33.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/33.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/266791/34.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm only gonna give this one one out of five stars' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/34.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/34.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/34.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/35.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't recommend anybody ever seeing this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/35.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/35.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/35.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/36.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This is the kind of movie that's gonna to be ridiculed in five years on DVD by drunken Frat boys because it's just that awful' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/36.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/36.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/36.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the not so good movies The Village and Lady in the Water' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Unfortunately, this one can't even fit into the not so good movies category (umm) I'll get to that in a little bit' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The movie stars Mark Wahlberg as a science teacher and Zooey Deschanel as his wife (umm) and also stars John Leguizamo as his friend' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/266791/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And something happens at the beginning of the movie and, for some reason, people start talking funny and killing themselves' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The cause of this is never fully explained' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/8.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/266791/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There are theories that are thrown about and the big theory is pretty silly' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/9.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey everybody, this is Tom and today I'm going to be reviewing the movie Hancock' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/270254/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As always, bam, movie ticket, right there' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/270254/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And eventually he gets himself into trouble where he (stutter) he ends up saving a public relations guy and he tries to build up his image to get people to like him' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That is the story of this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/11.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Okay the one thing that drove me nuts was the camera' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/270254/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/13.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Half the time the camera was doing three-sixties' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/270254/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I think I kinda want to do the rest of this review doing nothing but three-sixties but that would drive you guys nuts, cause it drove me nuts' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Maybe I was the only one who noticed, who knows' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It it (stutter) was funny at times, but, you know, (stutter) it wasn't good enough for me' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(stutter) No' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/18.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I I (stutter) didn't enjoy it, I I (stutter) just kind of sat there \"Hmm' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/270254/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Out of the way' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/20.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This was funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/21.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/270254/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Why am I spending my money watching this?\" {sigh} I think I was more sad that I spent the money to watch this but (umm) otherwise it is funny enough to watch it, but not funny enough to watch it in theaters' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/22.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/270254/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Wait to rent it if you're really desperate, buy it if you want to' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/23.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(stutter) Don't know, it's more up to you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/24.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm going to give this a two out five, hope it helps' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/25.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/270254/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Alright, Hancock' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/270254/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is a Will Smith attempt at making a superhero movie in a summer of really good superhero movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Iron Man, Incredible Hulk, Dark Knight' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/270254/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay, as you can tell I'm doing this a little bit past the point when Hancock came out, but you see where I'm going with this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hancock is not good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/270254/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One, no one has ever heard of this, two, I hope nobody will remember this cause this was a bad movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/270254/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay, it had its funny points because it's about a bum on the streets who has superhuman abilities' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey all' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/272624/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's the king of movies here and today I'm going to review (uhh) The Mummy: Tomb of the Dragon Emperor' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/272624/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) There's some CGI in, CGI in (stutter) here that isn't very good and (uhh) usually there shouldn't be a problem but (uhh) it just detracts from the experience I think' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/272624/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) (stutter) It ends up being a little (uhh) a little disappointing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/272624/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) There's also just not that much (stutter) stuff in terms of originality' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/272624/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a lot like the other Mummies, if you've seen those and you like them you'll probably want to just see this cause you'll like it too' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/272624/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're looking for even like a slight twist in the Mummy formula you probably won't wanna bother watching this because you're not going to be getting something like that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/272624/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So once again, if you, if you (stutter) enjoy just popcorn movies like even Journey to the Center of the Earth, if you like that (uhh) you might want to check this out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/272624/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Unfortunately this one isn't in three D though, so it's not as entertaining but (stutter) I think this is strictly for Mummy fans and people that just want (uhh) some kind of escapist movie to forget about their worries for ninety minutes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's my review of The Mummy: Tomb of the Dragon Emperor' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) In this movie they actually go to China and that's the whole dragon thing and that's why Jet Li is in it, in case you were wondering' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/18.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now (uhh) this is a new movie (uhh) starring (stutter) Brendan Fraser, Jet Li, and Maria Bello and it's the third (uhh) movie in the, The Mummy series' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I believe the last one was actually in two-thousand-one or two-thousand-three' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was definitely over five years ago so (umm) this is kind of a surprise in a way to see a sequel so soon, perhaps it's because (uhh) Indiana Jones four came out and people are kind of on that adventure wave right now' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/272624/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're, (uhh) they're enjoying their adventure kind of movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/272624/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This movie as as (stutter) the other ones were is is (stutter) not to be taken too seriously, it's pretty much popcorn entertainment' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/272624/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's just something that you watch, mindless fun (uhh) that you eventually, you know, just forget about pretty much immediately after watching it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/272624/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) As as (stutter) popcorn entertainment it doesn't really (uhh) (uhh) fail necessarily, but it doesn't do its job as great as say even the first Mummy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/272624/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The movie has Jet Li in it, which is a nice surprise, but I feel that if they (uhh) could have used him more in it (uhh) it would have been movie if they did' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/273539/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey expo Tv' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/273539/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I am going to talk about another summer movie that is currently in theaters' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/273539/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Vicky Cristina Barcelona' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/273539/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) xxx seen this with a few of my friends and I was much more soft having done so (umm) this film has little substance' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/273539/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a Woody Allen film strangely enough which you would think that it would have some substance but not this one (umm) with some big name actors Javier Bardem (umm) Scarlett Johansson and Penelope Cruz all on this film' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/273539/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And basically what it is, I will give you the basic plot Penelope Cruz, her character and Scarlett Johansson's character (umm) travel to Barcelona (umm) and there you know they are alone and they are young females' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/273539/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Basically there they just have (umm) relations with Javier Bardem's character (umm) and he's still involved with with his wife so it's kinda like a love quadrangle not a triangle cause there's three of them and one guy so quadrangle (umm) that's about as deep as the plot gets (umm) they try to do some cheesy plot development and cheesy character development' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/273539/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It doesn't really work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/273539/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's a little bit of humor in the film (umm) I think Woody Allen has an interesting sense of humor, a very dry sense of humor' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/273539/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That I think worked with the film (umm) but originality wise, this movie is nothing that hasn't been made before It's just kinda sleezy (umm) waste of time completes your mind type of thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/9.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/290546/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, Tina here and I want to do a review for you today of a movie that I just watched on DVD and the movie is called The Haunting, it's The Haunting of Molly Hartley' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/290546/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This is a rated R movie on DVD, it's just recently released on DVD and there aren't any well known (uhh) actors in this movie, a lot of no names' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/290546/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I honestly can't name one character for you that I knew in this movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/290546/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of the faces looked familiar but (umm) not so much that I would be able to name them for you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/290546/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's basically (umm) based on the haunting of a high school student (uhh) who's haunted by her mother' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/290546/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Apparently her mother tries to (uhh) kill her when she's younger and (umm) it really haunts her in terms of psychologically' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/290546/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'She has to see doctors and so forth' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/290546/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think it's more of a a (stutter) teen flick more than anything because it revolves a lot of the, the (stutter) things are based in the high school where (uhh) Molly goes to school at' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/290546/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I watched it with my eleven year old daughter and she really enjoyed it, she likes scary movies, and it does have some scary points in it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/290546/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I didn't really care for it, all I could say it's more of a a (stutter) teeny bop movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/2J4zrDn7K4s/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The system Accenture and Madrid Health Service have fully implemented is called the Madrid Electronic Health Record (HORUS) system . It captures all patient information into a single, integrated record for 26,000 clinicians to access across all parts of the regional healthcare system The system, with 15 million health records, was completed in 12 months.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2J4zrDn7K4s/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2J4zrDn7K4s/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2J4zrDn7K4s/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, this is Linda Katehi, the chancellor at UC Davis, and I would like to speak with you through this video which will become the first of a series of such messages to connect with you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When I was born into a poor family on a small Greek Island, women were not expected to even go to high school, let alone college.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The pepper spray incident was one that I will deeply regret for the rest of my life.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We learned from it and we now do a better job protecting you and our campus.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is unthinkable to believe that we would ever try to rewrite or erase history.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Regarding consultant contracts highlighted in the media, I regret that some of the language in those contracts misrepresents our intentions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And let me assure you, your tuition, fees and state funds did not pay for the consultants work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Learning from these mistakes, we are moving forward to increase transparency and accountability for my administration.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We will create a new web site to highlight the decisions and activities in Mrak Hall and provide a platform for a free and candid exchange with students.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you for listening to this message and I look forward to our next talk.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/20.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is why I have always worked hard to improve opportunities for women and other under-represented groups.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is why I have worked tirelessly for everyone to have a chance at a free or affordable education to transform their lives.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thanks to many tough decisions by our faculty, students and staff, we came out of this crisis financially stronger.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Xenca was founded in 2012 by a team of experienced individuals with a thirty year track record of working together successfully in the cosmetics and healthcare industry' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their vision was to create a franchise consisting of a team of Associates who all share the same passion for helping people look and feel great' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now Xenca has hundreds of dedicated Associates who all love selling our products, that all tried and tested to really work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The beauty of being an Associate of Xenca is that when you're selling our products you know that they will really help people live better healthier life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/31474/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, I'm Matthew and I'm here to give you my review on this DVD movie called The Feeding' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/31474/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It came out in two thousand six and it was directed by Paul Moore' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/31474/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The acting was horrible in it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/31474/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Almost like they were reading cue cards' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/31474/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The werewolf costume was completely unbelievable' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/31474/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it also had a person in it who kept shooting the wrong, missing the werewolf when it shot at it and (stutter) shooting the college kids' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/13.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/31474/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So she ended up killing about four of them because she was such a bad shot' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/31474/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This movie, how it got made I don't know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/31474/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'How it got released on DVD I don't know, but it was quite comical to watch and on a scale of one to ten I would probably give it a one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/31474/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Besides that I can't tell you the rest of the cast, it really has a bunch of nobodies in it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/31474/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The storyline is a bunch of college students go camping in the woods and there is a werewolf which is chasing them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/31474/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is definitely an independent film' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/31474/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'How it got made I don't know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/31474/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This movie was quite possibly the worst movie I've ever seen in my life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/31474/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But almost to a point that was very funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/31474/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was shot on a very low budget' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/31474/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was shot really kind of grainy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/32681/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm (uhh) reviewing the movie called (uhh) the Epic movie, which is currently in theaters and (umm) you know I've seen commercials on TV and (uhh) it's basically a type of movie like Scary Movie, like the series where they make spoofs of everything, and (uhh) I've seen it on TV and (uhh) it looked (uhh) pretty funny from the (stutter) from the previews that I saw' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/32681/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I saw that over the weekend, did did (stutter) good in the box office' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/32681/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think it got something like over twenty million dollars' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/32681/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So (umm) I decided to pay ten dollars, you know, go to the movie theater and see it and (uhh) gotta tell you that I'm extremely disappointed in the movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/32681/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) For more than half of the movie, I didn't even laugh' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/32681/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The only time I did laugh was at the the (stutter) pretty dirty stuff which they usually don't put in movies but, I mean that was pretty funny to me' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/32681/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) there are a couple of rap music scenes from from BET, that were trying to make fun of, wasn't really funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/33170/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, (uhh) I'm going to do a quick review on the movie called Epic Movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/33170/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's basically a movie (uhh) comedy satire (uhh) it's it (stutter) mocks movies such as the (uhh) Da Vinci Code, Nacho Libre, X-Men, (umm) Land of Narnia, (uhh) Chocolate Factory, and some other movies I can't really think of right now' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/33170/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) it it's (stutter) a movie that you don't really don't need brains to go watch it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/33170/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a lot of toilet humor and cheap laughs, and if you are really really really desperate for that kind of a comedy, I highly recommend this movie for you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/33170/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I mean if you are expecting (uhh) a lot more, I mean with this type of movie I don't think you will enjoy it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/33170/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's, it's (stutter) got a pretty, pretty (uhh) low rating (umm) right now, but it's doing very well surprisingly, in the box office' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/33170/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you're really desperate for (uhh) I mean, cheap laughs and that sort of (uhh) genre movie I would highly recommend (uhh) this movie to you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm here tonight because I just have something to get off my chest.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When Rob Talbert, the previous host, says it got out of hand it got out of hand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Perhaps not Rob Talbert, but people at Machinima, writers and workers of that show before Chris Lockey came on -mind you, Chris Lockey was doing this by himself: very little support- and we still didn't cut him a break.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's also sad that in the final episode, Chris Lockey didn't even show up; [he] probably didn't feel good about it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/14.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like I said, we've all lost a series now, so I'll have to direct my video game retrospective...fix somewhere else.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I guess this is a good time to mention that there's a person called the Nostalgic Gamer.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'His channel, NostalgicGamer86: it's a great place for video game retrospectives.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/17.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You were probably aware of the controversy involving the new format of the show went through a few weeks back, mainly involving the new host Chris Lockey.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's obviously too little, too late, but I just feel the need.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Flawed, yes, but he would've gotten better if we had given him a chance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But, we never really did, and instead of leaving good, constructive criticism most of us just decided to leave complaints.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And now, because of that, Machinima got intimidated, and decided to shut down the show entirely: costing us a good quality series and Chris Lockey a job.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'KATHLEEN MCCARTNEY: I'm Kathleen McCartney, president of Smith College.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Students hear from the activists directly, a bridging of theory and practice that is distinctly Smith.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm proud to present this dynamic online experience of Smith college, and proud to feature the remarkable stories of women who are transforming our world.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our first MOOC reflects Smith College's ambitions and values in six important ways.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The course offers the same rigorous content that students find in traditional Smith classrooms.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It invites dialogue and debate, hallmarks of learning and development.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It supports the democratization of knowledge, by making course content available to the world.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'She has designed it for anyone interested in psychological theories of social change, and the transformative potential of women's activism.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '&gt;&gt;JACK KITAEFF: The time is right to elect a president of the American Psychological Association from outside of traditional governance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've been a member of the APA for 35 years, but have never held elective office and have not been part of APA politics or governing activities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I will work toward making this effort historic in my tenure.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As the only candidate with a military and police psychology background, I am uniquely qualified in these areas.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In light of recent events, I furthermore intend to create a division of human rights within APA, reporting directly to the president.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I will furthermore address the proliferation of hate crimes and the emergence of homegrown terrorism in the United States.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Psychology is in a unique position to address these issues and I am in a unique position to direct this effort.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/18.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Other candidates for the office of president are silent on these issues and are standing still in these efforts.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The time is now to tap into this group who is passionate about the future of psychology, but have allowed others, often the same people over and over again, to assume leadership roles.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am the only candidate for president who is both a lawyer and a psychologist.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'During these recent difficult times, a president with knowledge of the law and a strong allegiance to ethical and legal principals affecting our profession is necessary.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The past three presidents of the United States have worked toward achieving mental health parity.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/4cFeG2ydm9A/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The only way to be remembered is to be enthusiastic and conversation in your style.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4cFeG2ydm9A/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4cFeG2ydm9A/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4cFeG2ydm9A/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're looking for a degree in entrepreneurship, we have an excellent program.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're one of the few universities that are 100 percent holding online that have a dedicated entrepreneurship degree program.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Many other universities out there have entrepreneurship minors or tracks or concentrations but it's within a school within business administration and is not an entrepreneurship degree itself and so that's something else that really differentiates us.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have a bachelor's that's completely entrepreneurship based and master's completely entrepreneurship based.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We want to make sure that when students come through the Entrepreneurship Program whether it's the bachelor's and master's that we don't graduate a student that just has the degree in hand, but we graduate an entrepreneur, and that they can continue on with their venture in that we've helped them to succeed with the dreams that they have.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/22.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While taking my degree I have lived most of the time Nigeria, Africa.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I barely took three courses before I had to go back home as my job demanded, and so every other course since then has been from Nigeria.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I remember takin a course on enterpreneurship and that seemed like the entire reason why I was here.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It seemed to encompass everything about Business Administration I needed and professor you know was right on the ball.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/50103/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the movie Anacondas: The Hunt for the Blood Orchid' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/50103/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I really couldn't watch the whole show, but basically it's about (uhh) the blood orchid is a rare flower and it holds the secret to eternal life and they start to (uhh), you know they go into the jungles to find, to hunt for it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/50103/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And of course they, the (uhh) stories about an (stutter) anaconda and so you they find this giant anaconda that (umm) was in the movie and I couldn't even stand to look at it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/50103/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So (uhh) I didn't watch the whole show but if you are afraid of snakes or anything you'd probably have your eyes closed the whole movie so I I (stutter) didn't like it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/50103/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just looking at this cover with the snake on it I don't like it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/50103/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Anyways this is (umm) let me see if they have any special features' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/50103/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The special features are deleted scenes, previews, and (uhh), and the making of the feature so' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/50103/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'All of the actors are (uhh) let's see Johnny Mess, Messner (stutter) KaDee Strickland, Matthew Marsden, Eugene Bird, Salli Richardson-Whitfield, Nicholas Gonzalaz' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/50103/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Those are are the actors' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And in today's world that means going beyond high school to a community college, a 4-year university or professional training program.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5B0PQx3Ep3k/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5B0PQx3Ep3k/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's about inspiring young people across this country to complete their education.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5B0PQx3Ep3k/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5B0PQx3Ep3k/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I know that if we truly want to help all our young people reach their college dreams, we need to support our school counselors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5B0PQx3Ep3k/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5B0PQx3Ep3k/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I want to thank you all again for your leadership and I look forward to working with all of you in the months and years ahead to inspire our young people to reach higher and fulfill their boundless promise.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5B0PQx3Ep3k/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5B0PQx3Ep3k/9.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And today we're talking about your major assignment, the literature review' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Potter and Granger did a good study in 2012 about decision-making, involving parents in the decision-making process' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's a reason we have your literature review due at end of Week 4' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's because we're going to have all of Week 5 for your instructor to pass it back to you, so you can make some revisions to it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's very rare that the literature review is OK'd in the first draft' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So please as you submit this, consider it a first draft of something that's going to have a couple iterations' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So let's say, again, we're talking about methods of parent involvement' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I found some good studies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Larry, Moe and Curly did a great study in 1997 about involving the community' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/9.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As I said earlier, just to follow on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a great delight to see so many of you here today from five participating schools' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The motion before us today is: This House considers that environmental protection of the Arctic is more important than the need for economic development and job creation' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that is exactly one of the key area of the report that we ourselves will be looking at' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The most fulfilling result of the work that scientists and researchers do is coming close to knowing how the natural world works' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For scientific samples to be gathered the Arctic must be preserved' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Further knowledge of any change can rapidly be known' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But economic development, such as mining who are limiting the amount of natural resources and landscapes that the researchers and natural scientists can use' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'MR KIRBY: A quick note on this airstrike, which I know many of you have covered or have asked about, in Aleppo on a Doctors Without Borders hospital.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But I didn't want to relinquish the podium at the outset without mentioning that we're obviously – find this attack reprehensible in every possible way.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're looking at dozens, if not several dozens, of casualties in this strike on what was clear that was a medical facility.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So once again, we call on the regime to cease these absolutely senseless attacks, which are, of course, violations of the cessation of hostilities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/5.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But again, you're going to hear more from the Secretary on this very shortly, but I did want to just put that out there right at the top since I know you've all been interested in it and it just happened.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Digital consumers really have changed as we've seen the age demographics start to shift and seeing the bloomers becoming older and then the Gen X-ers and Gen Y-ers really getting into the space, especially for health care and pharmaceuticals.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So it's a matter of finding the right fit for the right individual.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a big difference and a big shift from mass marketing to really targeted marketing, and that's where we're headed at least.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And sometimes you want to branch out and reach the active seeker plus the general consumer who may not necessarily think they have an issue, but have had a few red flags raised over time.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/9.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Legion M, the world's first fan-owned entertainment company, is hoping to break the Hollywood studio mold.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[Annison] \"It's the first time in history that regular people like you and I can actually invest in film and television and content projects.\" [Scanlan] \"We love Hollywood, we love pop culture, this is why we're doing this.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But we also believe if you look at some of the major investments happening... there's not a lot of new franchises being born anymore.\" [Cambrie] Aside from fan investors, will individual content creators be able to get involved with Legion M?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[Annison] \"If there's some creator on Youtube and you're like 'Oh my God, this guy needs to have his own series' or something like that, that's what we want to hear.\" [Scanlan] \"This is about opening the gates to Hollywood and bringing the fans into the inner circle... it's a win-win across the board.\" For NewsBeat Social, I'm Cambrie Caldwell.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I'm going to be sharing with you my favorite Gillette product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But the other nice thing about these razors is even after this is gone, the blades do last a really long time.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I'm able to still actually get a longer lifetime out of these.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after these are gone, I do go ahead and just lather up and use that so that I can shave.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But I really liked these, and I would highly recommend them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're a little bit on the expensive side, but I figured it's worth it, because I don't have to buy razors as often.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sometimes I can get one razor to last for anywhere from four to six months.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I really like these because it's basically a two-in-one on the razor.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I like the Breeze ones a little bit better, because I've noticed this doesn't tend to-- the jelly soap doesn't tend to melt as fast as some of the other brands.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or not the other brands, but the other types that Venus has out there.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '- The financial aid process was a long, arduous one for me to learn about.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are tons of different financial aid; each college does it differently.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sometimes you might have to learn about how one school does it and how another.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's a lot of similarities a lot of times so they can transfer, but you always have to be specific with any college that you look into.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a learning process, each college is different in some ways, one of the things I did is I contacted a financial aid officer at the school to learn a little bit more about the process, and so that's how I worked it out.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Little heads-up for you -- that sometime on February 12th at block 630,720, we will have our annual decrease of inflation' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This means that Dash's block reward -- that is the reward to miners, masternodes, and the available treasury -- will decrease by 7' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And as an interesting little fun fact for you, the February superblock -- that is, the February treasury payout -- has supported a new all-time high of proposals: 22' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The former all-time high came in September of 2016 when 20 proposals had passed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And finally, in Social Happenings, there are three new \"What is Dash' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/70280/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I want to talk to you about Disturbia' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/70280/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a new movie (uhh) in which a character is confined to his house, he is under house arrest, and his mother takes away his Xboxes and TV as sort of a little bit of additional punishment' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/70280/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Save your seven bucks, go to the video store, rent A Rear Window, you're going to like that movie a lot much better' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/70280/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I would rather buy that movie, (uhh) the Rear Window I mean, than to see this one again' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/70280/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you do want to see this wait for it to come out on video and rent it, don't buy it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/70280/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So he starts watching out his window, watching people for entertainment until he sees (uhh) something that basically (uhh) horrifies him' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/2.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/70280/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He thinks his neighbor is actually a murderer but there is really nothing that he can do about it because he is under house arrest' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/70280/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) If this plot sounds very familiar I think I saw this movie (uhh) many years ago' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/70280/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It actually came out about forty years and it was called A Rear Window and it starred Jimmy Stewart, and he was confined to his house because his leg was broken and in general I think that is a much better movie than the movie I have just seen in theaters' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/70280/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I kind of felt a little bit cheated because (uhh) the plot is (uhh) very similar' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/70280/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You know, Jimmy Stewart relies on the people around him and his girlfriend to kind of investigate and figure out what was going on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/70280/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Saw a lot of the same things happen in this movie and (uhh) this movie felt a little bit cheaper' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/70280/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They kind of tried to stylize it a little bit (uhh) for the younger audience but in general (uhh) I really didn't think it was worth the money' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/70HptJgAhZM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Different in the sense that today, finance has a responsibility to prioritize against multiple contexts, multiple areas within the organization.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70HptJgAhZM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70HptJgAhZM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70HptJgAhZM/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/70HptJgAhZM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think the only way to have the constrained resource sense of IT to really serve marketing effectively, is to have dedicated teams.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70HptJgAhZM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70HptJgAhZM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70HptJgAhZM/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So come on in and we can help you make sure your needs are taken care of.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As an Enrolled Agent we can help you with your individual tax preparation and business tax preparation needs.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'An EA or Enrolled Agent is an accountant that specializes in taxation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The tests that we take are specifically designed to encompass taxation and administered by the IRS.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/76PsKs4kPXE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or report says clearly that was fantastic, but what next' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/76PsKs4kPXE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/76PsKs4kPXE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/76PsKs4kPXE/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Adam and I'm studying Statistics,  I'm in my first year at Kingston University.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm enjoying myself so far and just about to sit my exams,   and I'm first in my family to have gone to University,  which many of you might think is a boundary  between you going to University or not,  I luckily got in!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I applied for Kingston University 2 years ago,  but I took a gap year,  as I felt like I want to travel around and experience new things,  and Kingston allowed me to defer my entry for a year.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I also have an eye condition,  I would've thought that it might be a boundary to my education,  although there's a wide range of support available,  which allows me to access lectures and slides which I can print out and take with me lectures,  as sometimes even with my contact lenses in, I struggle to see what's actually written,  in the lectures.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Anyway if you've got any questions about anything related  to Statistics, Maths or anything about student life at Kingston,  feel free to ask me and I will try my best to answer.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/7r4vRxKLFCA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And seeing the NASCAR fan decide to learn a little bit more about Nationwide and then that gives us a chance to remind them to go back to the Turner site and catch up on racing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7r4vRxKLFCA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7r4vRxKLFCA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7r4vRxKLFCA/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/7r4vRxKLFCA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They go back there, they come back to Nationwide, and we're going back and forth with each other, all three of us; the fan, Nationwide and nascar.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7r4vRxKLFCA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7r4vRxKLFCA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7r4vRxKLFCA/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/80566/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a box set of the original three Star Wars movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80566/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A New Hope, The Empire Strikes Back, Return of the Jedi' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80566/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They are referenced countlessly in you know, modern culture, modern cinema' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80566/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You see references you know Luke I am your father but with somebody else's name' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80566/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And they are almost an American icon' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/80566/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'These are the movies that you know, were in the late seventies or early eighties before the yuppies existed before George Lucas had the money to and the technology to remove everything but the actors' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80566/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I I (stutter) mean in the original Star Wars, people actually acted it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80566/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's it's (stutter) a good set of movies because the story it tells is quite good, (uhh) it's got good acting it's it's (stutter) one of those things that are original, that are icons of America and American cinema, like The Godfather or' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80566/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It you can name these movies that are historically you know referenced and you know everpresent in our society and Star Wars is one of them and this does it justice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/8.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Alright' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Pretty, pretty good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's (uhh) in the, he's in a couple episodes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ben Stiller, and Ben Stiller's boy are in some episodes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/80855/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'David Schwimmer and some guy playing David Schwimmer's dad is in this too' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/80855/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) After four seasons, actually I have all five seasons, they're phenomenal' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/80855/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's good stuff' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As you see, it keeps to the same packaging which is amazing (uhh) you know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Let me open this again cause this is, this always amazes me' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I like to just sit around, when I can get it to okay, maybe this one doesn't work, but that's not the point' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/17.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The point is this this (stutter) season is as good as all five seasons' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'it gets a five out of five stars' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Season four Curb Your Enthusiasm' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Larry David's a (uhh) curmudgeon and a genius' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The acclaimed series' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Larry David returns for a fourth season' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/80855/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He had five in total, so far' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/80855/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hopefully he comes back for six' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's my fingers being crossed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Ten episodes this whole, actually eleven because the tenth episode is pretty much two episodes of it together and it's like an hour' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/8.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/80855/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This whole season is about him {clears throat} joining the (uhh) cast of (uhh) The Producers, featuring Mel Brooks' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/830KzUc6CbU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, this is Rhett Reiger from White Caspian Studios on behalf of Expert Village.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/830KzUc6CbU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/830KzUc6CbU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/830KzUc6CbU/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/830KzUc6CbU/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have to look for many different issues, like pay scale, what do they expect to be paid, or do they not, or will they defer their payment until the end of the shoot, or until the movie makes money.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/830KzUc6CbU/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/830KzUc6CbU/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/830KzUc6CbU/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/830KzUc6CbU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the director is very involved, intimately involved with the casting.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/830KzUc6CbU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/830KzUc6CbU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/830KzUc6CbU/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/84140/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey ExpoTV, I'm Dea, and I generally love sort of these bad teen comedy sort of movies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/84140/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But like I said, generally which implies that I don't always love them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/84140/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One that I didn't love was Drive Me Crazy (umm) this is a movie with Melissa Joan Hart, where her character, she's trying to (uhh) she's trying to like, get the popular basketball guy or whatever to ask her out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/84140/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so and her best friend next door neighbor guy, is trying to win back his exgirlfriend' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/84140/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So they turn to each other' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/84140/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You know, to sort of fake a relationship to make those two jealous, Melissa Joan Hart gives him a makeover, and it's all, it all (stutter) feels very like, it's not, it's not, (stutter) it doesn't have the sort of undercurrent of satire that a lot of high school comedies have, that sort of make them funny' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/89835/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Chris Tucker is known for his off the wall slapstick comedic performances' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/89835/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'At the same time, Jackie Chan is known for his martial arts special effects action flicks' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/89835/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Combine the two and you get Rush Hour two, the sequel to the very popular Rush Hour one' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/89835/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) In this the, (uhh) Chris Tucker plays a policeman that goes to Hong Kong with his, (uhh) to meet up with his friend that he met in the first movie that's played by Jackie Chan, and together they uncover a crime ring, beat the crap out of a whole bunch of people, and generally just do really dumb things' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/89835/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) {clears throat} The acting in this one is not really acting so much as one person fights and beats the crap out of others, (umm) the other star of the movie makes loud-mouth, (uhh) off-color remarks through the entire thing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/89835/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's supposed to be hilariously funny, it's unfortunately not' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/5.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/89835/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's quite the opposite' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/89835/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) There are a few (uhh) good moments in there, (umm) however I really didn't, (uhh) really didn't enjoy the film all that much' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/8eaYvALnJ0o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of the great advantages a cedar siding is its great versatility.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/8eaYvALnJ0o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/8eaYvALnJ0o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/8eaYvALnJ0o/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/8eaYvALnJ0o/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's available in a wide range of patterns, a wide range of grades, a wide range of thicknesses.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/8eaYvALnJ0o/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/8eaYvALnJ0o/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/8eaYvALnJ0o/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/8eaYvALnJ0o/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can get almost any look you want with Western Red Cedar siding.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/8eaYvALnJ0o/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/8eaYvALnJ0o/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/8eaYvALnJ0o/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/8x_nCOh6Wmc/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if you follow this, you won't have to be practicing a whole lot, just a couple of times to work out the bugs, work out the kinks, and you'll be ready to give a great speech.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/8x_nCOh6Wmc/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/8x_nCOh6Wmc/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/8x_nCOh6Wmc/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/96642/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey again guys' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/96642/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'xxx I am reviewing today is the movie Team America World Police, specifically this is the censored and unrated version' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/96642/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The team who made this is the team (uhh) xxx parker' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/96642/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) They were the mind behind South Park, a very popular television show' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/96642/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And also (umm) the movie xxx, not so good but (umm) I guess they should really stick to TV because this isn't that good of a movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/96642/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's all about puppets (umm) sort of the like parody of the old seventies puppet television shows, (umm) but it is not that good it (uhh) it tries to be kind of (uhh) sexy and (uhh) taken into account like political themes like Kim Jong Eun (umm) is the bad guy and (uhh) there's a bunch of like (uhh) celebrities in it who would team up with him because they are like super liberal celebrities' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/96642/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The plots kind of (stutter) but I mean puppets so what do you want' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/99501/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/99501/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I'm going to be reviewing the two disc special edition of The Hulk widescreen' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/99501/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The special effects are nice, but not enough to warrant any kind of purchase or rental' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/99501/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I kind of wish I didn't have this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/99501/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I give it a two' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/99501/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's, it's not as bad as, as (stutter) a one but like I said there's very, very little here to reclaim it and make it valuable' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/99501/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This (uhh) is a pretty ridiculous movie' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/99501/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It covers the story of the Hulk, a man who is (uhh) a scientist exposed to gamma radiation and then ever since that exposure when he becomes angry he turns into the Hulk, a huge green (uhh) monster man with (uhh) unlimited power and invulnerability, and with the added feature that the angrier the Hulk gets the more powerful and more invulnerable he becomes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/99501/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So basically it's a, it's a story, this is a story about a man who who (stutter) suffers because he can't control his anger, but also uses this anger to lash out at society and his oppressors' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/99501/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The movie kind of glosses over a lot of the (uhh) (stutter) a lot of the things that you could say with a story like that in favor of just pure action' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/99501/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Hulk smashing tanks and smashing helicopters and jumping thousands of miles, and while that's entertaining it's I also don't think that's enough' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/99501/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think you could have done a little bit more with this movie, with the subject matter' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/99501/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But portraying him as a tortured soul a little bit better, I don't know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/99501/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But as it is, it's a, it's a (stutter) fairly entertaining movie but very, very brainless' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, something else you want to be aware of is evaluating each particular situation, every time you're in it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe you're going to give a speech to the Ladies Luncheon and you've got this really funny story to that you're going to tell.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When you get there you discover that children were allowed to come.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Evaluate the situation and decide if the humor will be effective or not.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/9iRncKVM2PA/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'However we are encouraging all sides to take appropriate steps so that there will be no misunderstandings, no miscalculations that could trigger an environment that would be antithetical to the maintenance of peace and stability.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9iRncKVM2PA/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9iRncKVM2PA/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9iRncKVM2PA/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, use your move tool to move around the marquee until you get just the part of the picture that you want.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/AG5EY8ZaFj4/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/AG5EY8ZaFj4/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a photographer and digital retouching artist here in New York City.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/AG5EY8ZaFj4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/AG5EY8ZaFj4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In this clip, we're going to take a look at how to insert a picture into another picture in Photoshop.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/AG5EY8ZaFj4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/AG5EY8ZaFj4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/AG5EY8ZaFj4/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/AbNmF4RTzOI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If it is in a classroom type situation, you are at much more of an advantage than if you are giving a speech to a group of people that you possibly will never see before you give the speech.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/AbNmF4RTzOI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/AbNmF4RTzOI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/AbNmF4RTzOI/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your product is technologically superior to others on the market, demonstrate it, and make it easy for anyone to see how much better your product or service is.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Rule number two, do not rely on your presentation alone to make the pitch.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Only face to face can you distinguish your product and make connections that could become fruitful relationships down the road.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So provide the space in your booth where you can be comfortable and talk about the features and benefits of your product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Remember, those guys with the checkbooks still like to do business across the table or at the bar, not everything is best sold on the world wide web.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Although if you don't have a website that matches your trade show image, well, you need to develop that site, before the trade show.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unless you closed the deal and came back with a signed contract what you really have is a warm lead.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Rule number four, don't try this with a bad product or service.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/28.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a firm believer in top down selling, and the people who either write the checks or tell other people to write the checks attend the big shows.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/32.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Good luck, and good business, I'm Peggy Collins, and that's how to make your next trade show a huge success.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/32.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/32.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/32.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you have a really great gadget, show people how it works.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/AxNy9TeTLq8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'CHUCK DAVIS: Advertising, when used correctly, is content, and it helps lead people to make good business decisions, find great conversions, and there's great data on all of this.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/AxNy9TeTLq8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/AxNy9TeTLq8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/AxNy9TeTLq8/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But did you know that businesses also have an unofficial organization chart?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Since the entrepreneur business owner is usually the number one finder in a company this dilution of the critical Finder's role can lead to a downward cycle where growth declines, expenses increase, and cash runs out.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Know who's in it and follow the B2B CFO® golden rule; Let the Finders find, Minders mind, and Grinders grind.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Here's what I mean, every company's unofficial org chart is comprised of just three types of employees; Finders, Minders and Grinders.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Finders are entrepreneurial and are future thinkers who generate new business and build new and leverage relationships that multiply the volumes and revenues of the business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Grinders are the employees that do the actual work of the company.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're the ones who build and ship the products or deliver the services.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When a company experiences growth, typically Finders stop finding new work and start spending most of their time doing Minding and Grinding activity.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'fundamentally changed the way we've always done things' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1774, America had always been the possession of Great Britain' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Someone's going to make a bad choice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1864, some people had always been able to own other people' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1918, women could not vote' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1989, people with disabilities were not considered people' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We fundamentally changed those things and we became a better, smarter, stronger nation because of it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So yes, we are asking people to change the way they've always done things, the same way we have always fundamentally changed things, when we change them for the better' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But there's something else I have to say, is that if we do that, if we make that commitment, someone somewhere is going to get hurt' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/C864zaWmEd0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so it's that fine line, and consumers are smarter than ever today.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/C864zaWmEd0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/C864zaWmEd0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/C864zaWmEd0/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/CJGuudyvA0Y/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's certain corporate essentials which every company should track above and beyond your minute book.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CJGuudyvA0Y/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CJGuudyvA0Y/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CJGuudyvA0Y/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/CJGuudyvA0Y/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of these things is the financial data which everybody knows because the government requires it for taxes to be filed at the end of the year the other thing which many early stage companies forget is the human resources making sure you have good documentation for every one of your team members.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CJGuudyvA0Y/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CJGuudyvA0Y/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CJGuudyvA0Y/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/CJGuudyvA0Y/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't end up in this situation track all of your human resources and make sure everyone who works for you is under contract from the beginning and keep it all organized and loaded in IncMind.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CJGuudyvA0Y/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CJGuudyvA0Y/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CJGuudyvA0Y/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Melvin Hunter, I'm a senior at NAU School of Forestry with an emphasis in Fire Ecology.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Coming to NAU after leaving the reservation was a big step for me.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've made a lot of friends here, and met a lot of great people and close friends I plan to know throughout my lifetime.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/16.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't know if it's just the forestry world, but I've really and enjoyed it and am comfortable here at the school of forestry.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Fuels, prescription writing, and treating the forest really to prevent these catastrophic fires.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Help the landscape either progresses in this shift or somehow mimic a historical regime.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While a student at the NAU School of Forestry I heard about the Hooper Sustainability Award which is a grant for either research study or community sustainability.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The measurements course would be taught to the troubled youth, but specifically the wildlife fire department to help with orienteering to using a compass, paces.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(FSE:1SZ) Following news that the company had intersected a new high-grade silver vein at San Felipe, analyst Kwong-Mun Achong Low reiterated his buy rating and 12 month target of $2.75, a premium of 133% to the $1.18 price the day the report was issued.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Management expects throughput to achieve 300 tonnes per day by the end of the year as both main veins contribute to production.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For more information please visit the company's website www.SantaCruzSilver.com, call Neil MacRae at 604-569-1609 or email info@santacruzsilver.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For more information about Jennings Capital or to obtain a copy of their research report, contact your nearest Jennings Capital office.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their branches are listed on their website at www.jenningscapital.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm Samantha Deutscher for InvestmentPitch.com For more video news, and to view our disclaimer, be sure to visit our website www.investmentpitch.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This video is for information purposes only and it is not a recommendation to buy or sell any securities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The company, which is focused in Mexico, has the producing Rosario project, two advanced-stage projects, the San Filipe and Gavilanes, and an early-stage exploration project, El Gachi.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Drilling on the Transversales vein, at its San Felipe Project in Sonora State, confirmed the continuity of a new vein both along strike and to depth.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(map in release) Of the 11 drill holes reported, hole SCVT-02 reported 11.8 metres of 116 grams per tonne silver equivalent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Drilling has traced the strike at transversales to 200 metres and a depth of 240 metres and it remains open along strike and at depth.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Arturo Préstamo Elizondo, President and CEO stated, \"The confirmation that the surface outcroppings of the Transversales vein appear well mineralized along strike and to depth indicate a highly mineralized system.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/DlbYiwOnTyk/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I attended Alan's course around late July but only got time to build the website around October.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DlbYiwOnTyk/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DlbYiwOnTyk/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DlbYiwOnTyk/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/DlbYiwOnTyk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So within this past 3 months, in December I realised that the traffic suddenly increased to around 48,000 from nothing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DlbYiwOnTyk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DlbYiwOnTyk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DlbYiwOnTyk/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DlbYiwOnTyk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So right now actually making some money from Adsense and also from normal conversions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DlbYiwOnTyk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DlbYiwOnTyk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DlbYiwOnTyk/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DlbYiwOnTyk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I highly recommend Alan's course and he's very helpful and he answer all your queries.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DlbYiwOnTyk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DlbYiwOnTyk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DlbYiwOnTyk/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Isaiah Mueller and Im the President and CEO of Volkswagen.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Volkswagen is working very hard and working hand in hand with the authorities to come up with a solution that we will release to you through our official website.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To show appreciation to all Volkswagen customers who have supported us, all existing Volkswagen cars would enjoy a complimentary car maintenance courtesy of Volkswagen from any authorized dealer.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please note that the cars remain safe to drive and owners do not need to take any actions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once again, we are very sorry and to show how sorry we are, up next Super Junior with the song sorry sorry.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Danielle Giacoponello with Bonagora and I have 3 tips for professional buyers  visiting the NY NOW market this week.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'First: Plan ahead The NY NOW Market is comprised  of four different sections: Home, Gift, Handmade and New The sections open on staggered dates.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are going to want to go to  the show in comfortable shoes, and eat a big breakfast.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You may even get in a quick workout so you are prepared for the long day ahead.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you for listening from my tips  for professional buyers for the NY NOW Market.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after the trade show be sure  to visit Bonagora.com to learn how to enhance your  professional buying experience in between the trade show seasons.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So Handmade opens on Saturday  and closes on Tuesday, but Home, Gift and New  all open on Sunday and close on Wednesday.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You'll want to be sure to visit  the NY NOW website in advance for full show dates and hours.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The NY NOW website also offers a  comprehensive exhibitors search, so you can map out which vendors  you plan to visit in advance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A helpful hint is that if you are  looking for a booth number on the fly, you can download the NY NOW  mobile app when you get to the show.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you go to the show looking to add only your most profitable and best-selling categories, it would avoid impulse buying.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of people who come to Las Vegas have never had any criminal problems in their life before.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm attorney Michael Becker of the Las Vegas Defense Group.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you've been arrested in Las Vegas, or anywhere in the state of Nevada, call us at 702-DEFENSE.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And for a lot of people, being arrested or being cited and told to come back to court to face a misdemeanor charge is a very upsetting prospect.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A trespassing charge, in the whole grand scheme of things, is not such a big deal.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They don't want to have to explain a bad night when they're filling out a job application.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so, for those people, it's important that we try to negotiate a resolution to a trespassing charge that would result in a dismissal of the charges so they don't have to keep explaining it or sealing of the record at some time thereafter.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we can keep their record clean so it doesn't come back to haunt them in the future.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/EQxkXiWAm08/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You need to know that that seller financing will take second lien holders position on the deed.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EQxkXiWAm08/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EQxkXiWAm08/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EQxkXiWAm08/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EQxkXiWAm08/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A real estate attorney needs to be involved in writing the contract.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EQxkXiWAm08/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EQxkXiWAm08/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EQxkXiWAm08/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'No country on earth would remain passive in the face of hundreds of rockets fired on its cities and Israel is no exception.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I appreciated their expressions of strong support for our right and our duty to defend ourselves, and this is what we will continue to do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today we expanded our operations against Hamas and the other terrorist groups in Gaza.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We will continue to protect our civilians against Hamas attacks on them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It embeds its terrorists in hospitals, schools, mosques and apartment buildings throughout the Gaza Strip.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hamas is thus committing a double war crime: It targets Israeli civilians, while hiding behind Palestinian civilians.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now one thing about starting a photography business is that you want to really, seriously consider what you're doing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I really frown upon going out and spending a large amount of money on the biggest and the best new equipment to start a business that you've never done before.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So really, start out extremely small, take on photography jobs that are really making you a profit of, you know, not so much at first, just enough to almost break even, and then start building upon that and building upon your client base.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The more specific you are, the chances of you making are it are better.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'People are going to go to you when you're the only person that does certain type of events, or photographs, let's say it's dancing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/18.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't know, I'm just thinking off the top of my head, let's say it's kids dancing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So those are just some ways that I would start a small photography business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/22.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now this is sort of, I don't know, being a little, you know, you really want to look at it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean, I'm trying to kind of make it a little bit comical, but to be really honest with you, it really gets to be that way sometimes for some photographers.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Where as they started out doing something they love and ended up actually hating it and just doing it for money, and in the end, I think sometimes that really shows.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'like what should be the determining factor in whether or not someone is or is not my friend?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/10.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because apparently not being friends with Craig because he's voting for people who are running their entire campaigns off the promises of committing war crimes is too superficial of a reason for you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But the idea that there is absolutely no legitimate reason for someone like me to not be friends with someone who is voting for people like Donald Trump or Ted Cruz is really disconnected from the way that the world actually works.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because my family's not rich enough for them to care about.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So yeah, sorry for me not wanting to be around people who think things like that.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just- I really hate, that the people who say this act as if like political beliefs is like the dumbest, most superficial thing to stop being friends with someone over.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the second thing that I think is very important is rethinking ethic in business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Ezn3p5FWF_U/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Ezn3p5FWF_U/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'More and more we have to have transparency, collaboration and the lessons learned from the crisis help us to understand that the real next step after the crisis will be a much more committed economy to ethics and values that can support trust.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Ezn3p5FWF_U/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Ezn3p5FWF_U/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/F1U26PLiXjM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Every day, we try to bring ourselves to the boundary between the known and the unknown and face the cloud' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F1U26PLiXjM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F1U26PLiXjM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F1U26PLiXjM/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/F1U26PLiXjM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So B is essential in order to get going, but C is much more profound, and that's the amazing thing about resesarch' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F1U26PLiXjM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F1U26PLiXjM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F1U26PLiXjM/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/F4yFRROWtdE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The PwC and HfS Research report includes comprehensive analysis and research based on interviews and data collected from over 400 HR practitioners and over 350 global business executives.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F4yFRROWtdE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F4yFRROWtdE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F4yFRROWtdE/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/F4yFRROWtdE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Among key findings, the study shows global expansion and changing workforce characteristics have elevated the importance of recruiting, talent management, and performance management in the workplace.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F4yFRROWtdE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F4yFRROWtdE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F4yFRROWtdE/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have been invited to a special event that includes an invitation, so let's take a look at how should we respond to it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am Hazely Lopez from Hazely Academy of Refinement and Modeling.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You first want to start by deciding whether if you're going to attend or not attend to.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, one reason that I write for teenagers is that when I went to high school, I actually went to two different high schools' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And at the first high school I was very, very unpopular to the point where I would sit down at the lunch table and people would move way' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of human drama happens that would not happen in a grownup life where there's no legal obligation to show up anywhere' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I also think that being a teenager is a very fascinating time of a person's life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Every single person in their teenage years in America is separating from their family of origin at least a little bit, is navigating money and transportation and changing body and increased independence' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's true no matter what your economic or social situation is, no matter what your background is, small town, big town, countryside' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your body's changing, your relationship to your family of origin is changing, and a lot of other things are changing too' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is way more exciting than middle age' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Right? This is the meat of becoming a person' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after my sophomore year I transferred to a different school, and I didn't change anything about myself' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just showed up at the new school, and all of a sudden I was really popular, and I had boyfriends and I went to dances and I was on the prom committee and I wrote for the paper' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was a whole different life because nobody knew I was supposed to be a loser' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, I experienced high school, if you think of it as a hierarchy, right, from the top of the hierarchy and from the bottom' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I don't think that very many people get that chance' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, I think that has really helped me in being able to write characters with, you know, a variety of high school experiences' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And high school is a fascinating setting, especially boarding school or summer camp where you really are stuck there' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think when you have a place like high school where you're legally obligated to show up every day, you cannot walk away' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of the challenges that we've had is that the word advertising doesn't even work anymore.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FxxJB8hBpyQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FxxJB8hBpyQ/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So customer service, in-store advertising, certainly mobile, and really thinking broadly about the different ways.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FxxJB8hBpyQ/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FxxJB8hBpyQ/17.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So there's a really lot of negative connotation around it, manipulation and all the horrible stuff, and then Mad Men.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FxxJB8hBpyQ/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FxxJB8hBpyQ/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FxxJB8hBpyQ/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is also this stuff about how're your not supposed to show you're religion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But all these policies are mostly targeting Muslim people' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ironically is mostly targets [muslim] women' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Islamaphobia in France, it is supposed to protect women from a religion that abuses them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But they are the first victims of these policies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because since these policies there have been a lot of attacks against women who wear the hijabs by men' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Basically in France we have this idea that race doesn't exist' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Gz2qsCqWNUY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But if you're going to be using something from over-the-counter, which is of course less expensive, then really the only one that's on the market that's very popular right now is the crest whitening strip.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Gz2qsCqWNUY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Gz2qsCqWNUY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Gz2qsCqWNUY/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'going to head back to my room and start watching some YouTube videos' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So right now, I probably have around 45 minutes until my dad's done making dinner' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's a lot of time considering once I get deeper into the school year, I'll have a lot more homework and a lot less time watching YouTube videos' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, I guess it's time for dinner' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/H6ci6Myq8uI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I highly recommend that you hire an attorney to factor that and to draw those contracts up for you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H6ci6Myq8uI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H6ci6Myq8uI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H6ci6Myq8uI/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/H6ci6Myq8uI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I highly recommend that you use a real estate agent for these complicated type of contracts, and also be very upfront and forthright with your mortgage lender to let them know what you're doing and how you are trying to accomplish it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H6ci6Myq8uI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H6ci6Myq8uI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H6ci6Myq8uI/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/H6ci6Myq8uI/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They don't want to pay capital gains -- the owner doesn't -- on the money that they're receiving, so they're going to take a little bit of money over the course of a period of time.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H6ci6Myq8uI/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H6ci6Myq8uI/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H6ci6Myq8uI/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/H9mSft9YGuk/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you do find yourself in a persistent cough though, definitely consult a physician.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H9mSft9YGuk/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H9mSft9YGuk/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H9mSft9YGuk/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/H9mSft9YGuk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Try not prevent a cough from happening, being it's the natural way the body expels certain things.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H9mSft9YGuk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H9mSft9YGuk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H9mSft9YGuk/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/H9mSft9YGuk/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You do not want to look at it as a persistent cough though which you may want to see a doctor for.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H9mSft9YGuk/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H9mSft9YGuk/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H9mSft9YGuk/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'may vary by species, some studies have shown emotions are perceived as more prominently expressed on the right side of a person's face' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, as you might guess, animals detecting different human facial expressions isn't something new… According to research, other animals like dogs and pigeonscan distinguish between faces and expressions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Researchers at the University of Iowa, found that pigeons can see similarities among human faces when it comes to identity and emotion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Essentially, the pigeons could tell when the photographs they were shown were of the same person and when the emotions of different people were similar' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, the research on dogs is particularly robust' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In one study, researchers at Azabu University, found dogs could learn to pick out photographs of smiling human faces from those with blank expressions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And researchers from Kyoto University showed that dogs can match their owner's face to their owner's voice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/HetCe0lLacc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So in 2114, it's still smaller than search and a fraction of TV.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HetCe0lLacc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HetCe0lLacc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HetCe0lLacc/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/HmXXW45eZL4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And in addition to this possible retort or comment that you have prepared, in case your joke or story fails, I want to tell you something else that you don't want to do if your humor doesn't work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HmXXW45eZL4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HmXXW45eZL4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HmXXW45eZL4/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/HmXXW45eZL4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Never ever look hurt, look sad, look angry, start crying, run off stage.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HmXXW45eZL4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HmXXW45eZL4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HmXXW45eZL4/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/HmXXW45eZL4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Yes, that was a huge bomb,\" [you can say in your head] \"That was a dismal failure.\" But don't let the audience see it on your face.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HmXXW45eZL4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HmXXW45eZL4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HmXXW45eZL4/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because, just because you haven't met your goals yet, doesn't mean that you won't going forward.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But what we have to do is understand, why you haven't met them yet.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So that you can start shifting your business to where it is that you want it to be.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It could be that you don't have reminders, or you're so caught in fulfilling orders, and giving service, and providing value that you're forgetting to take the time out to work on your business as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if that's the case then we need you to carve out some time every single week to move you forward.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am recording this at the end of the first quarter this year, and I'm curious.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/36.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then, we need that crystal laser like focus on the actions that are going to get you there.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/36.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/36.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/36.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/44.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Let's get you those results that you want and I will see you next week.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/44.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/44.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/44.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe ones that are even a little stretch beyond those that you had already set.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/IRY4D_-mx3Q/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'No other accomplishment will do more to help our families and our state as we begin to recover from this recession.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IRY4D_-mx3Q/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IRY4D_-mx3Q/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IRY4D_-mx3Q/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/IUmxJNs2zaY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'These rivers are typical of many rivers in that their headwaters are located in mountainous areas—the Rocky Mountains and the Alps in these particular cases.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IUmxJNs2zaY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IUmxJNs2zaY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IUmxJNs2zaY/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/IUmxJNs2zaY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In such mountainous terrain, snow and snowmelt are important components of the hydrologic regime.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IUmxJNs2zaY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IUmxJNs2zaY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IUmxJNs2zaY/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/IUmxJNs2zaY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To understand and predict the flow characteristics of these snowmelt dominated rivers, it is important to have a basic understanding of snow and its influence on hydrology.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IUmxJNs2zaY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IUmxJNs2zaY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IUmxJNs2zaY/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/IUmxJNs2zaY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dr. Steven Fassnacht, snow hydrologist in CSU's Warner College of Natural Resources, describes how snow accumulates, how it occurs, the changes it undergoes, how it melts, in his upcoming lecture on snow and snow hydrology.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IUmxJNs2zaY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IUmxJNs2zaY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IUmxJNs2zaY/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We did sort of push-pull kind of strategy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When we initially launched the system we decided that we were going to our BIS team and find all of our users that have already been logged on customers to our Internet site, and take those user names and push them into the Widen system and then market to those specific users, letting them know what kind of new system we were creating, what were the advantages of it, and push that out to them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We did a full back cover spread on our very first catalog when we launched the marketing toolbox, identifying what it was, how easy it was to use, and we came up with a quick little slogan to use to try to get them to understand that it was fast, easy and simple, which was basically our slogan that we used' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And we highlighted it on that catalog that gets distributed out to about 10,000 addresses, which is a very large audience, to see how many would actually log on to our website, and come in and see the toolbox' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We gave that roughly about a couple months to see how that settled in' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then we followed up with an email blast to identify that this new system was here and what were the advantages of using the system' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then we followed up with a survey' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We particularly were talking about our catalogs, and our sourcebooks and our marketing materials, but we felt that that was the perfect opportunity to then ask if they had seen the marketing toolbox advertised on the back of our catalog or advertised through our email blast, which gave us some insight as to how many people were really knowledged about it and what step we needed to take to implement further from there and whether we could move into a training position or whether we needed to continue on with our marketing efforts' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'From that we felt like there was a good enough number of customers who had seen it in the few places that we had put it out, and we moved into our training phase, which was launching WebExes a couple times a week for a few consecutive weeks in a row, and putting out open lines to all of our customers saying that they could attend a particular WebEx' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JGzFUzPeAA8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'JEFF HADDOX: So this holiday season, to help drive some additional traffic we'll be doing some in-store sweepstakes, to get some buzz in-store, and people coming to the store.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JGzFUzPeAA8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JGzFUzPeAA8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JGzFUzPeAA8/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is Monday, September 4, and it is Labor Day! I hope you are able to enjoy this beautiful day outside at the lake or a golf course or somewhere, but I also know that some of you may be using this day to get ahead' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Holidays never really happen in online courses I guess' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Make sure you are on a device where the Respondus Lock-down browser will work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is a link at the bottom of the news feed where you can go to the website and test it out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once you start the exam you will have 45 minutes to finish, and that is enforced' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can't stop it and return, so make sure you are ready when you begin' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The exam itself will be 40 multiple choice questions and one short-answer question' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of the multiple choice questions you will have seen before on the quizzes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is a study guide posted that has possible short-answer questions on it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The short answer question on the exam WILL BE one of these questions, word for word' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you prepare a good answer for each, you will be good to go' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/18.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So that's about it for this week' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a big week in class' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't forget that the quiz closes on Thursday night and the exam will be open for 24 hours beginning midnight Thursday and closing at midnight on Friday' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/20.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our first exam in on Friday' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are several important things to know about exams and exam week' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'First off, during weeks when we have exams, the quizzes close on THURSDAY at midnight, so don't miss that deadline' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The exam is on Friday' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The exams work pretty much like quizzes with several important exceptions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The exam will be available for 24 hours, beginning at midnight on Thursday' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Set aside an hour of time where you will have reliable internet and can be uninterrupted' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's what it is I think we are better at masking our emotion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because with men, it's very straightforward With the guy, it's very straightforward' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They hate each other, they just you know, straight up, fight each other' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or they just tell each other But I think personally women are better actresses than men' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some guys, if you are a guy and you're watching, tell me' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Why do you tend to show less emotion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JVpF99zuQhA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, my name is Julie Asti, I'm a Certified Financial Planner with Asti Financial Management.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JVpF99zuQhA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JVpF99zuQhA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JVpF99zuQhA/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/JVpF99zuQhA/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are two main type of life insurance policies that you're going to want to consider when deciding to buy a life insurance policy.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JVpF99zuQhA/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JVpF99zuQhA/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JVpF99zuQhA/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JVpF99zuQhA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The second type of policy is either a permanent or a whole life policy.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JVpF99zuQhA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JVpF99zuQhA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JVpF99zuQhA/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/JVpF99zuQhA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And really what you're going to be doing is paying premium for a set amount of death benefit, for example fifty-thousand dollars, you'd pay an annual premium every year for a set term, let's say twenty years, and at the end of twenty years your policy is done, there's no more insurance coverage, and there's no more premium due.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JVpF99zuQhA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JVpF99zuQhA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JVpF99zuQhA/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that where a moral commons, a code of ethics needs to be ready.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think these are two very, very basic and ethical rules that our CEOs need to follow.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Remember when we read about Marie Antoinette we used to talk of love.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/15.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But the point that Pablo made about the fact that making money should never be the only consideration.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's one thing to make money while you are doing good for your company, for your shareholders, for you workers.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We had John Thain redecorating his office to the tune of a million dollars while getting money from the tax payers to bail out his company.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K0m1tO3Ybyc/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K0m1tO3Ybyc/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K0m1tO3Ybyc/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/K8gp7ncdUl8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If the price of Oil is on the decline for example, you can open simultaneous positions on oil &amp; gold and double your odds of profiting from a single action.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K8gp7ncdUl8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K8gp7ncdUl8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K8gp7ncdUl8/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/K8gp7ncdUl8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I should mention that to effectively use the Knock-on-Effect strategy; you should have a minimal understanding of how various assets interact, this can sometimes be difficult if you're only starting out in your binary option trading career.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/K8gp7ncdUl8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/K8gp7ncdUl8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/K8gp7ncdUl8/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/KB73TD4xQ8Y/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PwC believes that disruptive breakthroughs in mobile have resulted, in part, from the continuous progress of seven enabling components that underlie the power of the mobile device to sense, analyze, store and connect information.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KB73TD4xQ8Y/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KB73TD4xQ8Y/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KB73TD4xQ8Y/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KDjl2exStlI/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And whether it's a light weight approach or a heavy weight approach.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KDjl2exStlI/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KDjl2exStlI/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KDjl2exStlI/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KDjl2exStlI/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And whether the arbitrator supports reads, writes, or both.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KDjl2exStlI/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KDjl2exStlI/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KDjl2exStlI/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KDjl2exStlI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hence they support reliability and atomicity, scheduling and load balancing, trapping of faults and even synchronization.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KDjl2exStlI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KDjl2exStlI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KDjl2exStlI/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/KDjl2exStlI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of the variations for arbitrator connectors include how they handle faults.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KDjl2exStlI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KDjl2exStlI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KDjl2exStlI/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/KDjl2exStlI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Typically with a simple arbitrator scheme, there's a single decision made but more complex systems might involve a voting scheme.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KDjl2exStlI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KDjl2exStlI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KDjl2exStlI/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/KkKWFZZmmCM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The whole infrastructure, the whole culture, the whole development we've seen in India predestines India to become a superpower.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KkKWFZZmmCM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KkKWFZZmmCM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KkKWFZZmmCM/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Deloitte is starting to become particularly concerned about doing business in China.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Last year, the Big Four auditing firms discovered that a number of financial irregularities regarding a series of U.S.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Auditing firms become aware of problems towards the end of April.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Deloitte feels it is crucial that any firms they do business with do so with full transparency.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KqFarHUGjSc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dr. Fassnacht's lecture provided an overview of snow and its influence on hydrology.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KqFarHUGjSc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KqFarHUGjSc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KqFarHUGjSc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/KqFarHUGjSc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The next two lectures, by Dr. Ellen Wohl, address this issue of physical complexity in headwater streams, and lead us to an understanding of the nature of leaky rivers, and what they mean to the hydrologic environment.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KqFarHUGjSc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KqFarHUGjSc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KqFarHUGjSc/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'JANE FERNANDES: Well, with Deaf people, if you   know the history of Deaf people,  you know that learning language and literacy, especially  reading and writing English is an essential struggle that happens.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unfortunately, I don't remember everything, and I'm sure a lot   of my literacy development happened when I was born... before I went to school, which my mind didn't retain.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I know that with a deaf mother,  who was literate... she was able to provide me with strategies and information that I needed to learn.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I had to learn English, even though I would say English is my native language.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Lh8r-5eHX6Q/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'ISA Director Yoram Cohen and his people are doing important and excellent work for the people of Israel and for the security of Israel I find the attacks on them to be unacceptable.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Lh8r-5eHX6Q/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Lh8r-5eHX6Q/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Lh8r-5eHX6Q/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so as we look at Teespring, the people who do really well on our platform are people who've been able to build a brand with our buyers on Teespring.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And been able to bring them back over and over and over again to be able to purchase more and more products.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the best thing, what you can do to actually ensure that is really invest in customer service.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And really invest in sort of answering any questions that your customers have.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, thirteen years later, her I am and I'm happy to share with you today all of the insights I have learned in my experience.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MD6Tq_4VlGc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MD6Tq_4VlGc/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, we all have to start somewhere, and whether you're financially flawed or financially fortunate, here's some no brainers about managing your finances without paying unnecessary fees and expenses.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MD6Tq_4VlGc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MD6Tq_4VlGc/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's easy for you to lose some objectivity about what you've written.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'She did very poorly on the spelling and grammar test that I gave her.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I use spell check.\" Don't rely on spell check for grammar checking or catch errors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/16.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Spell check will not catch errors such as words that are spelled correctly but are used incorrectly, such as form and from or sue and use and so on.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For more great tips about proofreading and preparing reports, get  my book, \"Honing Your Legal Nurse Consulting Skills.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It greatly increases everybody's stress level including the  attorney as well as yourself.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Writing and proofreading your report at the last minute may cause you to miss things.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MMpo2bDk-DU/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Second, have a knowledgeable and trusted person look at your report for anything that needs to be changed before it is submitted.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MMpo2bDk-DU/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MMpo2bDk-DU/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MMpo2bDk-DU/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And you try to help them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To write an angry letter of protest is not as effective as to write a love letter' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because when you are able to write a love letter you touch the best thing in the politician, in the leader' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You may wake them up and the may change their course, their idea of happiness' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we need a community, a Sangha, in order to be able to do something' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Alone, even if you are a very talented person you cannot do much' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MjaaudUc5-4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Even a Buddha without a Sangha cannot do much' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MjaaudUc5-4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MjaaudUc5-4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MjaaudUc5-4/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, so what is fearless financial mastery? Well, it's really about leadership' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's about the courage to be honest about where I'm at who am I and who am I becoming in the process' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And as a result my finances are well, and I can make really great decisions about what's important to my life, my lifestyle and my legacy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I'm Audrey Godwin I was a CPA for 20 years and helped lots of business owners make really great tax decisions about what's important about not paying taxes' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yet at the same point I'm watching them struggle financially to fund their retirement plans, to just make ends meet' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'because they just figured that's the way it's supposed to be' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And in all honesty, they really need to step into the CEO role and really look at how their business is really affecting their life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because really when it comes down to it, your business is the only asset you can control so that it funds everything that the business needs you can serve your clients well and you can get the compensation and the peace of mind knowing that this business is everything you ever dreamed of and its funding the life you want to live' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So fearless financial mastery is a blog where you're going to get insights, tools and strategies about how to be a leader of your own life, how to manage the cash flow and direct it in the place you want it to go how to invest in yourself, your team and your customers in such a way of service and contribution that you figured why didn't I do this sooner' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/N1X63d_jgmw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We tend to go a little bit faster when we're nervous, so you want to be very aware that you're speaking in a moderate pace: not too slow, not to fast, where people can understand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N1X63d_jgmw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N1X63d_jgmw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N1X63d_jgmw/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I know what those things are capable of' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But I know what my daughter is capable of' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I know this planet is safer because she's defending it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You remember, that's the fictional one that didn't actually happen, where the US Military defeated the extraterrestrial invasion with the help of Will Smith' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Cross-branded promotions are now ubiquitous in Hollywood' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You've probably seen commercials for Audi or Doritos or Coke that double as trailers for superhero films' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/NoZsdSGnNpI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As an actor, you probably have a warm up suite or some comfortable clothing that you use when you're working or rehearsing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NoZsdSGnNpI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NoZsdSGnNpI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NoZsdSGnNpI/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/NoZsdSGnNpI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But by all means, make sure that at some point in the process, you choose what to wear, which we'll be talking about later, and you rehearse exactly in that audition outfit.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NoZsdSGnNpI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NoZsdSGnNpI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NoZsdSGnNpI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/NoZsdSGnNpI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're wearing fancy shoes, know how they feel, if you're a woman, and you have high heels, make sure you rehearse with your high heels on.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NoZsdSGnNpI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NoZsdSGnNpI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NoZsdSGnNpI/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Exposition is the who, what, where, when, and how of a play, and of the characters in the play.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Next, if you see or a play that contains a lot of dialogue that is repetitious, with seemingly no pers purpose; characters talking back and forth to one another and never really gaining any ground.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're watching a play that is done in the style of Theater of the absurd this could be the point of the play; that dialogue is meaningless, but if you're not you're probably watching a bad play.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Next, dialogue with no action, dialogue that does not spur anything to happen, so again, exposition.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If a character is talking about themselves and nothing is really happening on stage.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Next, dialogue written to seem like a dialect, so dialog that is written to seem like a southern drawl, as though the playwright did not know what the dialect really was.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Kevin Taylor, Managing Director for the BT in Asia Pacific.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Chinese government has made into the infrastructure in China has helped also increase growth by 30% or- which is excellent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But half the bridge only, the other half of the bridge is the US.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm definitely seeing early signs of recovery in terms of planning over the last three or four weeks and feel very confident that as we see the next six months to one year we'll see much more positive environments for doing business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I know their dollar is finding lower pressure at the moment same as-- situation so let's pray to pass in the world economy and I think we can look forward to better times.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/OLP0nCKwU6k/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Single premium as opposed to monthly or periodical insurance premiums is really quite simple.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OLP0nCKwU6k/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OLP0nCKwU6k/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OLP0nCKwU6k/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/OLP0nCKwU6k/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have to make sure that you pay your insurance quarterly payments as they come due, because insurance company's are now reporting to the credit bureaus, and if you are late on your insurance premium it could effect your credit score.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OLP0nCKwU6k/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OLP0nCKwU6k/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OLP0nCKwU6k/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Apple TV does everything you would expect it to do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What's surprising is how Apple is undercutting the competition in 4K pricing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Its just a shame that we have to wait on fixes for the curious omissions, like it's lack of Atmos support, and the weird way that it's handling HDR' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So there you have it guys' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That was your look at the new Apple TV 4K' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Drop a like on this video if you enjoyed it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you so much, as always guys, for watching' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/9.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/OwE-7MwzfYI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'According to a recent survey from KPMG International, chemical industry executives say they will use the significant cash on their balance sheets to pursue strategic acquisitions and new product development to spur company growth.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OwE-7MwzfYI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OwE-7MwzfYI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OwE-7MwzfYI/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PORCNDRKtko/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I'd highly recommend that for those individuals who need time to understand all the different nuances of the different college options that are out there, and also trying to find the best financial aid awards, it's always good...sit down with a professional and work with someone who has these expertise.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PORCNDRKtko/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PORCNDRKtko/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PORCNDRKtko/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'George Hotz Gives away data to Build your own Autonomous Driving Mod George Hotz who was the first person to unlock the iPhone in 2007 when he was 17, open sources his dataset of 7' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '25 hours of highway driving saying when he started there was no good source of data to play with using machine learning for autonomous driving, so he's making it easier for everyone else' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As those intelligent enough to use this open source information to build their own self driving car modification' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The data is 6 months behind where he is now with his startup company comma' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'ai saying quote \"I believe in being as open as possible without killing the host organism' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We make sure we keep the company alive to open source more stuff\" George says the key to staying ahead is to Work it harder, make it better, do it faster, makes us stronger, more than ever, hour after our work is never over' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Is it safe for me to tinker with an autonomous vehicle modification? Yes with EXTREME caution' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a scary thought, if a company like Tesla who's at the forefront of autonomous driving gets someone killed why would we ever want someone with a hacked together autonomous vehicle modification on the road? Well most people who understand how to piece together their own self driving car are smart enough not to do something stupid enough to seriously harm themselves or others' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Most likely the people playing with this open source information are going to start using it in a safe closed course then build up to regular driving but will allow for immediate manual override' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As far as the man who died from a fault in Tesla's most recent autonomous driving iteration, it's sad and it weighs heavy on Tesla's conscious' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Autonomous driving still requires a driver's full attention so they can override control of the car in the case of making a mistake like not seeing a tractor trailer' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Good, The Bad, The Weird&nbsp' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Pt-D0LUHDSc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Pt-D0LUHDSc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You dont have to look any further than the title because it says it all' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Pt-D0LUHDSc/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Pt-D0LUHDSc/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This film is about two outlaws and a bounty hunter and their journey in finding a treasure, and the hilarious moments that occur throughout' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Pt-D0LUHDSc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Pt-D0LUHDSc/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Aliens exist, well at least in Save The Green Planet' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Pt-D0LUHDSc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Pt-D0LUHDSc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Pt-D0LUHDSc/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PwapK9d8IGk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For example, if you take a hundred thousand dollars based on your age, you want to receive an income stream for ten years, twenty years, or for your entire life, that's what the insurance company will do.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PwapK9d8IGk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PwapK9d8IGk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PwapK9d8IGk/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PwapK9d8IGk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you had the money in your own care and attention during that period of time you might run the risk of well, blowing the money or spending it on something that you end up with very little principle.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PwapK9d8IGk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PwapK9d8IGk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PwapK9d8IGk/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The name my project is Triangle Dance Marathon.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Triangle Dance Marathon is a dance marathon that we organize at PNC Arena which is where the Carolina Hurricanes play and NC State basketball team play.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it's a dance marathon that sponsors Duke and North Carolina Children's Hospitals.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'All and all we raise a $145,000 for the hospitals.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's last year it was 6 hours of dancing, basketball, eating, photo booths.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We make cards for the kids and it was a really good time.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The club that I'm part of that organize that has about currently 40 some students and then last year we had 260-something come out to the dance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We encourage other people to volunteer by doing little fundraisers and pep rallies for Dance Marathon.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like every year have a huge pep rally at our school where we get the whole school in the gym and we give information about the dance marathon.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It makes me feel really good but it's not just me that feels good it's the kids at hospital and that's what's most important.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/Q4WzApjaCNI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So Wagner talked him into building a special theater just for these productions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q4WzApjaCNI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q4WzApjaCNI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q4WzApjaCNI/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, if someone slaps you in the face violently and unexpectedly, you turn red, feel angry and have an indescribable urge to lash out' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'but if you're younger, that emotion can override your rational decision-making and cause you to do something you might later regret, right' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Studies from the University of California Santa Barbara found inducing anger in participants helped them be more analytical' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their findings unexpectedly found that even usually irrational thinkers became careful thinkers when angry' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'suggesting that anger isn't only a physical fight-or-flight response, but can also focus the mind for decisionmaking' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the problem we have when studying our emotions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're so fleeting and deep-seated they're difficult to measure' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Q7S0tX4FUNA/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Q7S0tX4FUNA/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Q7S0tX4FUNA/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Qa6Yz62V-Yc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The President will soon propose that Congress enact baseline privacy legislation that will guard against companies collecting and keeping data that they don't need for their business models.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Qa6Yz62V-Yc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Qa6Yz62V-Yc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Qa6Yz62V-Yc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Qa6Yz62V-Yc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And we will back that up of course with aggressive FTC enforcement.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Qa6Yz62V-Yc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Qa6Yz62V-Yc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Qa6Yz62V-Yc/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/QjcQx8_PQfw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm Cherie Ashwood, I'm a guidance counselor, and I hope this works out for you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QjcQx8_PQfw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QjcQx8_PQfw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QjcQx8_PQfw/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/QjcQx8_PQfw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They give you a dollar amount, for example, two thousand dollars, you cannot send them two thousand dollars.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QjcQx8_PQfw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QjcQx8_PQfw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QjcQx8_PQfw/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I spent, oh, about a week, going through the first few chapters of the sales plan, and it was important.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I had an idea of the location I wanted to be in, and those are really major aspects of the plan, so I didn't actually go through and complete a plan.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, one of the reasons was because they were very exotic looking.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They made it very easy for gentlemen to approach the prostitutes on the street, without being hauled away by the police.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm here today to talk a little bit about writing a sales plan, and it was an interesting experience for me, attacking a sales plan.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sales planning can be very important for you, especially if you're looking for outside financing of your business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I was lucky enough that I had some savings, and didn't have to depend on that, because if you go to the bank, and you're looking for a loan, they're going to want to see your sales plan.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/QxU625Hn370/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'wanting sent the work they were the constitution but the bible in place if we talk in more about uh' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QxU625Hn370/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QxU625Hn370/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QxU625Hn370/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've done more papers for sociology classes than I ever thought I would.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But if it's something that you're interested in, it's definitely worth it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just think there's a lot here for them to... to explore right is enough diversity in terms of the student body in terms of faculty interests for them to really kind of develop a sense of their interests.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We try very hard to have a diverse faculty, a range of ages in our faculty from young to...to fairly elderly.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But also, um, a range of nations that people come from a range of ethnicities and a range of views that people have.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think what's kinda neat about this department is we have several faculty who are actively engaged in projects that are local in nature, right, so that on top of that core subject area the students are also seeing sociology in action and also how it pertains to this great local context the suburban area of New York and then also New York City.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi my name is Zach Parry' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I am going to be answering the question, \"Is it legal to surf the deep web?\" To answer that questions let's first get an understand what deep web is' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For example, if you were to get on the Clark County recorders website and you want to search recorded documents associated with a certain parcel number, or were you to get on a Clark County assessor's site or the Clark County District Court website and you wanted to search different cases, none of that is indexed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In order to find that, you can't go through Google, you have to go through the portal on respective web sites' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So all that public information is unindexed and therefore as part of the deep web' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yet, there's nothing wrong with searching for that information' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, the question really is, what is it that you're looking for on the deep web, because certainly there are illegal activities going on beneath the radar of what is indexed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, yes it is legal to surf the web' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In and of itself, searching this information, and looking at information that is not indexed is not illegal' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is nothing wrong with that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The question is, what is it that you're doing because some of the activities on there, if you were looking for a contract killer, for example, that would be illegal' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So the answer depends on what the actual behavior is' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because, when you get on Google on run a research and you're looking for information you're actually surfing the shallow web, if you will' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But surfing the deep web in and of itself is perfectly legal' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Lawyers Plus, We Earn Your Trust' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/21.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Index meaning, Google has it in their algorithm and it could be a potential search result' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The deep web is the unindexed portion of the internet' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's all that information that people put online that doesn't run through Google or that Google or other search engines cannot see' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, the vast majority of information online is in the deep web' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And a lot of it is pretty benign' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just because the information is uncharted or unmapped down't mean there is anything illegal about it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You learned in Financial Accounting about the income statement.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are two approved ways of reporting income to external users.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So from contribution margin we subtract fixed costs and that equals our operating income this is the same operating income, that we have when we use the Multi-Step format.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Note the operating income of $9700. We will refer to that again at the end of this video, but now I wanna introduce you to a new format for the income statement known as the Contribution Margin Income Statement format.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This format is not acceptable for external reporting, but it is used almost exclusively for internal reporting and decision-making purposes.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ROcTx5VEn7o/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thus contribution margin is the incremental profit earned on each unit sold.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ROcTx5VEn7o/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ROcTx5VEn7o/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ROcTx5VEn7o/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/RrGpzInAwCg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Georgetown Institute for Consumer Research, Sponsored by KPMG, has been created.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RrGpzInAwCg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RrGpzInAwCg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RrGpzInAwCg/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/RrGpzInAwCg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The institute will focus on developing innovative, ground-breaking consumer research to illuminate the challenges and opportunities of understanding and marketing to technologically empowered consumers.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RrGpzInAwCg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RrGpzInAwCg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RrGpzInAwCg/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'CINDY DYER: My name is Cindy Dyer, and I am the Senior Director for Human Rights at Vital Voices Global Partnership.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Vital Voices is co-sponsoring this event, The Courage to Lead, with The Eleanor Roosevelt Project at George Washington University, and it has been such an amazing experience, not only to plan the event, but to attend the event.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The women that are here, not only who are speaking on the panel, but the ones who are participating in the audience, are absolutely so inspiring.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They make me want to get up every day and go to work, and I feel so fortunate to have had this opportunity to spend time with them and to get to know them and to work with them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'example of why you need a Hegemonic structure to actually foster human rights' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" Ryerson and UofT went head to head, back and forth, but they both knew that only one could come out on top' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'After over an hour of competitive debating, constructing and deconstructing points of argument it was time for the judges and the audience to pick the winner' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Madam speaker, warden, ladies and gentlemen, we have conferred' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And in response to the notion \"This House welcomes the decline of U' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hegemony\" we believe Ryerson has successfully defended the notion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" However, even though the judges agreed that Ryerson has successfully defended the notion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"The house voted against the notion' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/SO53x_pbou8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm devoted to ensuring that we provide quality services, that we have staff that are competent, and not only competent, but measurably competent, as well as assessing and treating patients using best practices, so that we have great outcomes.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SO53x_pbou8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SO53x_pbou8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SO53x_pbou8/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/SO53x_pbou8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I feel that the standards and ethics that have been developed by ASHA over the years really anchor our professional and clinical services, whether we're emerging clinicians or experienced speech-language pathologists.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SO53x_pbou8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SO53x_pbou8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SO53x_pbou8/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/SuIcJvERiFk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, so I just wanted to make a video really quick to run you through description and narration.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SuIcJvERiFk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SuIcJvERiFk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SuIcJvERiFk/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/SuIcJvERiFk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I just want to tell you what that is so that you'll kind of have an idea of how to get started and start thinking about a topic.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SuIcJvERiFk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SuIcJvERiFk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SuIcJvERiFk/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have the latest from Utah, where the state has committed to spending millions of dollars to undo marriage equality.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'An apology from a Florida governor who has now changed his mind on banning the freedom to marry.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The opening brief is due on January 27th, a response brief is due February 18, then a reply on February 25th, and then oral arguments will follow that.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Turning to the other states, the Michigan Department of State has confirmed that it will not allow gay couples who marry out of state to change their names on their Michigan driver's licenses.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Former Republican Florida Governor Charlie Crist has apologized for his past support for a ban on marriage and civil unions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And officials in Maine have announced that in the first year of marriage equality, over 1,500 gay and lesbian couples got married in the state.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Subscribe here on YouTube to stay up to date on all these stories.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Republican lawmakers have pledged to spend up to two million dollars of taxpayer funds to try to overturn the freedom to marry, even though the case has already passed what should be its most expensive hurdles.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For comparison, the entire cost of defending DOMA from start to finish was two point three million dollars.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Also last week, the state requested an emergency stay from the US Supreme Court.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If granted, the stay would halt marriage equality during the appeals process.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TH32jop4FiI/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We could have a decision from the court on the stay any day now.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TH32jop4FiI/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TH32jop4FiI/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TH32jop4FiI/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TWszOxkOV0w/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think I reflect the outrage of the ordinary citizen who feels very strongly about the notion that we were told that CEOs require those kinds of pay packages because they are tied to performance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TWszOxkOV0w/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TWszOxkOV0w/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TWszOxkOV0w/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/TWszOxkOV0w/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then we find out that essentially the notion of corporate welfare is stronger than the notion of corporate performance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TWszOxkOV0w/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TWszOxkOV0w/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TWszOxkOV0w/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TWszOxkOV0w/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I believe very strongly that the average tax payer in the U.S.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TWszOxkOV0w/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TWszOxkOV0w/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TWszOxkOV0w/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I want to share a short testimony with you that I hope touches you as much as it touched me.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We all know that without faith it's impossible to be pleasing to the Lord.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that is what we must do, cling to the Hand of Jesus with child like faith knowing that nothing is impossible for Him.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you need knowledge, if you need understanding... I'm telling you, go to Jesus, ask of Him.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the Lord reminded me of this recently when my wife, daughter, and I went out shopping.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We came home and for the past several months and most of this year my driveway, the walkway out front, and the sidewalks have been snow covered, ice covered at times, just very dangerous.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And when we were walking into the house my little girl, she's six now, she got really nervous.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I said, honey don't be afraid, just grab a hold of daddy's hand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And immediately she grabbed my hand and all the fear and all the worry, the sound of her voice changed, and she was just totally confident walking into the house because she had her dad's hand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the Lord spoke into my spirit and He just showed me how He's reaching His hand out to us.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's reaching His hand out to you and to me and I'm going to cling to His Hand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello everyone, my name is Valerie Jarrett,  and I'm one of the three co-chairs  of President-elect Obama's Transition committee.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The other two chairs are John Podesta, who was formerly Chief of Staff for President Clinton and Pete Rouse, who was formerly Chief of Staff Senator Obama when he was in the Senate.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What we will prohibit is anyone who has lobbied on an issue  in the last year from working on that issue during the course of the transition.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Also if you are a lobbyist,  you may not lobby during the course of the transition,  nor may you come back after President-elect Obama takes office for one year and lobby on an issue that you worked on in the course of the transition.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are looking for people who have the best interests of you,  the American people, in mind  as they help us prepare to govern going forward.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'President-elect Obama also announced that Rahm Emmanuel  will be his Chief of Staff  and this week we announced several of the key people who are leading the agency reviews.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'President-elect Obama is committed to having an efficient, competent,  well organized, transparent and bi-partisan Transition Team.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are looking for the best and the brightest around the country  to help the President-elect as he assumes office on January 20th.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'President-elect Obama adopted the most  sweeping and strict ethics rules that have ever been in place  in the course of a transition.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Tpdqfpuumg4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'STEVE HOCH: How are retailers being influenced and managing things like Facebook and Twitter and things like that?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Tpdqfpuumg4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Tpdqfpuumg4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Tpdqfpuumg4/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Tpdqfpuumg4/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My guess is that the incentive is to have some rules so that people believe that it's relevant.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Tpdqfpuumg4/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Tpdqfpuumg4/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Tpdqfpuumg4/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TqMh7U3J4D4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, if you're not sure right off the top of your head, then you need to think about what makes this worthwhile.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TqMh7U3J4D4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TqMh7U3J4D4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TqMh7U3J4D4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/TqMh7U3J4D4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, it's worthwhile because it could help our planet, it could help our future generations.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TqMh7U3J4D4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TqMh7U3J4D4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TqMh7U3J4D4/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/TqMh7U3J4D4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So find that worth whileness and incorporate that into your speaking.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TqMh7U3J4D4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TqMh7U3J4D4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TqMh7U3J4D4/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Giotopoulos (Greece - Hellas) Etwinning 2012 - 2013 Title of Program:  Greece - Sweden.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Uc_6d-fkZEc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Uc_6d-fkZEc/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Different cultures getting closer Many thanks to the pupils that participated in this project.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Uc_6d-fkZEc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Uc_6d-fkZEc/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Giotopoulos (Greece - Hellas) Many thanks to the pupils that participated in this project.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Uc_6d-fkZEc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Uc_6d-fkZEc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Uc_6d-fkZEc/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/UiPmjKggv1s/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The other quality that professors can have is, I'd rather be anywhere than teaching you this material right now.\" Those particular professors are going to come across very monotone.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UiPmjKggv1s/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UiPmjKggv1s/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UiPmjKggv1s/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And our farts, our farts, are so smelly cause girls, we're healthy we enjoy our vitamin rich, Starbucks fruit-smoothies' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I make this announcement today with a smile on my face because we know this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'why don't act like we know this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'why do we keep failing to take notice of the pressure put on girls too young to understand this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I wore my red halter top to the dance bending over backward underneath limbo I saw an upside down picture of John with his jaw dropped' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I knew flexibility was impressive before I was old enough to wonder why' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/UvniNGPyeBc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'doing, why are we building what we're building' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UvniNGPyeBc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UvniNGPyeBc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UvniNGPyeBc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/UvniNGPyeBc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not just businesses, but any organization, any nonprofit, any government, any idea, any content that needs to be global needs to deal with language' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UvniNGPyeBc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UvniNGPyeBc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UvniNGPyeBc/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VAXhC2U9-2A/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ranked second on the list of \"the Best Corporate Citizens in Government Contracting,\" Accenture was recently recognized for its proactive and dedicated social responsibility and transparency efforts when supporting and working with government agencies.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VAXhC2U9-2A/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VAXhC2U9-2A/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VAXhC2U9-2A/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '- Young people provide an essential perspective in local and state politics, regardless of their political affiliation, they bring with them a fresh world view, one that is dominated by idealism and creativity' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their input would go a long way towards repairing the broken political relationships that currently govern our system, especially in the city of Chicago' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're gonna put on a fantastic workshop this fall, and we're incredibly excited about it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But we don't want to stop there' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We want to take our curriculum and our model and replicate it in Chicago, where we will partner with the schools on the south side of Chicago, local politicians, and maintain our relationship with the University of Illinois' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We already have a time and a place' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'All we need is the funding' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'After attending an On The Table discussion, I realized that my organization was not the only group of people that thinks this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's why we want to partner with the On The Table community' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So here's a little bit of information about us' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'YOUThink politics is a political engagement workshop for local high school students' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The non-partisan educational program teaches students about the resources in their communities and how they can influence the political system to create positive change' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'These kids are the future of our city' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's our responsibility to make sure that their voices are heard' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VbV9S4svrTg/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We've already planned our first workshop in the Champaign-Urbana area where we're currently partnering with two local high schools, the local state representative, the Mayor of Urbana, and the University of Illinois' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VbV9S4svrTg/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VbV9S4svrTg/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VbV9S4svrTg/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Secretary of Education Pedro Rivera' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Welcome to the National Institute for School Leadership's Executive Development Program E-D-P is a tool that aligns with the work the Department of Education has been doing on a broader scale, and I thank you for participating and further developing your skills, whether you've been in the field for a week or a decade' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'E-D-P is designed to promote equity and excellence among students and schools, helping Pennsylvania's youth reach their potential and graduate ready for their next step' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Whether their plans are to further their education or go on to an industry-based career, students under your leadership will be up to the task' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Here at the Department and under the guidance of the Wolf Administration's vision for public education, we've advocated for the need to provide multiple pathways to success, ensuring college and career readiness for all students, no matter their hometown, background, or interests' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/VinxKpWioTo/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's a place in our commonwealth's landscape for all students to find their niche and succeed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VinxKpWioTo/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VinxKpWioTo/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VinxKpWioTo/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a faculty member in the School of Education at Sonoma State University.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is important that teachers understand their legal, ethical, and professional responsibilities in an educational setting.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This legal session will focus on illegal discrimination in schools and classrooms.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Noncompliance with these laws can result in legal liability to you and to the school districts in which you are employed.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Viz5vDE39y8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's in San Diego California, and why independent type of living situation would be perfect for him is the socialization.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Viz5vDE39y8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Viz5vDE39y8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Viz5vDE39y8/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Viz5vDE39y8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That, by all means is is the biggest part and help him really feel part of something and feel productive.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Viz5vDE39y8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Viz5vDE39y8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Viz5vDE39y8/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/Viz5vDE39y8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I really am very excited that these things are popping up and happening and there are some very successful models like Casa De Amma.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Viz5vDE39y8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Viz5vDE39y8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Viz5vDE39y8/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But also fighting so that all families in Colorado have a fair chance and opportunity to succeed.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I came to this country and been living as an undocumented person for 15 years.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And when I was going to school it was really difficult for me to find avenues and resources to be able to reach higher education.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was definitely an uphill struggle and a challenge - one that I worked in changing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/4.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And although the DREAM Act has not come to petition yet, Senator Bennet continues to push and create coalition so that other senators and other members of congress also support fair immigration reform and the DREAM Act.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/7.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/VwvptdTkwEE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you believe that money can increase over time you are misguided.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VwvptdTkwEE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VwvptdTkwEE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VwvptdTkwEE/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/VwvptdTkwEE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dangerously misguided because Allah says no money cannot increase over time that transaction is invalid that is Ribah.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VwvptdTkwEE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VwvptdTkwEE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VwvptdTkwEE/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/VwvptdTkwEE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But the Islamic  banks now they're beginning to understand that tide streaming against them so now they're back to the wall.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VwvptdTkwEE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VwvptdTkwEE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VwvptdTkwEE/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/VwvptdTkwEE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But their so-called Murabah in not halal at all, is actually Ribah to the back door' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VwvptdTkwEE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VwvptdTkwEE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VwvptdTkwEE/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/WmQF5RmbsVQ/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, there are specialty lenders out there, that do these construction or permanent loans, so my suggestion is to go to your local bank, or perhaps search online, for construction loans, and you will find lenders that do these loans for the construction period, and also find lenders that will do the loans on the lot.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WmQF5RmbsVQ/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WmQF5RmbsVQ/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WmQF5RmbsVQ/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a fellow at the Committee of Conscience at the US Holocaust Museum, and I'm undertaking a research project that is pegged to the upcoming trial in the Hague of the alleged Bosnian war criminal Ratko Mladic, who is the most prominent of all the people who've been indicted by the Yugoslav war crimes tribunal in the Hague.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I want to ask a series of broader questions, such as, why did the massacre at Srebrenica happen?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Can it, could it have been prevented by the international community?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Of course, I'm going to, to be present at some of the trials.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Mladic trial is in its pre-trial phase, so they're debating how exactly the trial will take place, exchanging evidence.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The second suggestion is to use a \"strategies approach\"' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are strategies that children can use for thinking about each set of number facts' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if they were facing a number fact like 8+3 we would say we will count on 3 from 8' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What are the next three numbers' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once the students have recalled and the number fact then of course they don't need the strategy and so that's the ultimate goal that they just recall it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/WxajvjGKz7Y/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we can say, 8+3 and they go 11, that's easy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/WxajvjGKz7Y/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/WxajvjGKz7Y/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/WxajvjGKz7Y/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'to a poor transaction using these mechanisms that are freely available to us' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'companies to know if they can be competitive' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what we actually have been preparing for companies is to let them know that they're medical products are actually competitive and viable in this market' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And for those companies that need export help in any regard, Export Express is an excellent tool to get there' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of the things that the U' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Census Bureau does that's vitally important is provide data to U' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XIGpuL-Kkyk/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XIGpuL-Kkyk/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XIGpuL-Kkyk/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/XaVYxIW0FDg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'and bring them into accordance with His will' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XaVYxIW0FDg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XaVYxIW0FDg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XaVYxIW0FDg/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XaVYxIW0FDg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While those who stop in religion and refuse to accept God's work of the last days, will be left in dark desolation' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XaVYxIW0FDg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XaVYxIW0FDg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XaVYxIW0FDg/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/XaVYxIW0FDg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This proves a prophecy in the Bible, Here, \"one piece was rained on\" refers to churches who accept and obey God's work of judgment in the last days' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XaVYxIW0FDg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XaVYxIW0FDg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XaVYxIW0FDg/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XyP8bVmGX6M/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'KPMG has partnered with Georgetown University to launch a new Consumer Research Institute based in Washington D.C.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XyP8bVmGX6M/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XyP8bVmGX6M/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XyP8bVmGX6M/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/XyP8bVmGX6M/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Thought leadership from the institute will be particularly relevant.\" she said in a statement.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XyP8bVmGX6M/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XyP8bVmGX6M/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XyP8bVmGX6M/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XytBlo2R5Yg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so it both give us a much better brand recognition than we had in the past, it's a great way to be able to respond to customer feedback very quickly.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XytBlo2R5Yg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XytBlo2R5Yg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XytBlo2R5Yg/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So there is no real perfect major for being pre-health, being pre-med.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As long as you complete all the requirements that you need in order to get into a particular med school.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your major can be anything from English to Anthropology to Music, Dance whatever you like.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact the nice thing about coming into med school with a major that's not necessarily in the sciences is that you bring a level of diversity to the class.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you have a major in humanities you have had critical thinking and creativity as part of your curriculum and those are skills which will be wonderful to have as part of a med school class.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/Y7h-S3cJ52o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Baltimore Link is a completely redesigned transit system for Baltimore.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7h-S3cJ52o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7h-S3cJ52o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7h-S3cJ52o/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Y7h-S3cJ52o/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Basically, it takes the additional capital investment in the right place as well as starting the bus system from scratch trying to figure out how to design the system so that it works better for the people of today.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7h-S3cJ52o/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7h-S3cJ52o/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7h-S3cJ52o/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Y7qkyMyanjU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'how to take ten units and exchange them for one 10s rod' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7qkyMyanjU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7qkyMyanjU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7qkyMyanjU/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Y7qkyMyanjU/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They have an understanding of that equivalents and we're now going to extend that understanding into addition' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7qkyMyanjU/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7qkyMyanjU/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7qkyMyanjU/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Y7qkyMyanjU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To solve the problem I'm gonna start by modeling' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7qkyMyanjU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7qkyMyanjU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7qkyMyanjU/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/Y7qkyMyanjU/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In order to add I know I've got a combine these' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Y7qkyMyanjU/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Y7qkyMyanjU/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Y7qkyMyanjU/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/YbuG8xyUO-o/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your loan is out of processing and is now with our underwriters.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/YbuG8xyUO-o/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/YbuG8xyUO-o/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/YbuG8xyUO-o/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/YbuG8xyUO-o/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our underwriters have the final say on your mortgage application.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/YbuG8xyUO-o/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/YbuG8xyUO-o/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/YbuG8xyUO-o/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/YbuG8xyUO-o/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Underwriting turn times typically take about 72 hours, and as soon as you loan is conditionally approved, you will be the first one to know.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/YbuG8xyUO-o/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/YbuG8xyUO-o/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/YbuG8xyUO-o/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/YbuG8xyUO-o/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please check your email, and I'll send you another video like this in a couple of days.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/YbuG8xyUO-o/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/YbuG8xyUO-o/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/YbuG8xyUO-o/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When the federal government took over the student loan industry, &gt;&gt; it promised that tuition rates would not sky rocket, but they have.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Z7L3V5bwzI0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Z7L3V5bwzI0/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '&gt;&gt; I want to get rid of the federal government monopoly on student loans, and give our students more options.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Z7L3V5bwzI0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Z7L3V5bwzI0/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'SO WHAT DO YOU THINK IS THE BIGGEST SECRET THAT YOU'RE SPILLING IN THE BOOK' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WOULD IT BE ABOUT YOUR MARRIAGE' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WELL, THAT'S NOT A SECRET ANYMORE' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I MEAN BECAUSE -- BECAUSE TO BE A GAY MAN OR WOMAN, THANK GOD IT IS A MIRACLE, THANK GOD IT IS NOT A SIN ANYMORE' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'AND YOU WERE MARRIED 25 YEARS BEFORE YOU FOUND OUT YOUR HUSBAND WAS GAY' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'IT WAS A DEVASTATING THING' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'IT JUST SHOCKED ME SO' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I NEVER THOUGHT I WOULD BE SO DEVASTATED' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I FELT LESS THAN A WOMAN' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/Zvisaa77Cng/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think in Davos the whole issue about regulation ethics has been a big issue.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Zvisaa77Cng/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Zvisaa77Cng/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Zvisaa77Cng/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/Zvisaa77Cng/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My view is very clear, that yes, absolutely, chief executives or senior executives must have a code of ethics.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Zvisaa77Cng/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Zvisaa77Cng/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Zvisaa77Cng/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/Zvisaa77Cng/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the best CEOs have that anyway, they don't need boards.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Zvisaa77Cng/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Zvisaa77Cng/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Zvisaa77Cng/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Promotion is defined as advancement of position, encouragement of the progress, growth or acceptance of something.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Peggy Collins and I'm here to help you learn how to promote your event.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're hosting a fashion show, team up with local clothing retailers and shoe stores.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Do not overlook internet advertising and reciprocal partnership opportunities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For some guerilla marketing tactics, you can do something as simple as creating a good video for You Tube, your website and anywhere else.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Give away goodies like t-shirts, caps and fun trinkets on the campus of colleges in the area.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/17.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can pull off an elaborate stunt to generate news media attention.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Coordinate everything, all the details with the venue where your event will take place.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/26.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Look for the synergies such as media partnerships with local radio stations, TV stations, newspapers and cable companies.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You'll need scripts and ad layouts, both of which can be provided by the media where your ads runs, often at no charge.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/30.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The better prepared you are, the better the experience and results.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/31.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What media partners generally want from you is to own the event, taking sponsorship credit for it in the community with no cash investment and to secure exclusive rights to be on site in exchange for promotion on air or in kind advertising at no cost to you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What's up i wanted to do a video on the new teaser trailer that Activision released for what one can assume is the new Guitar Hero game.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't know if they are having a press event or it's just going to be a trailer that's going to be released like we saw with Rock Band 4 being announced.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A couple weeks back a couple of journalists posted that they got these invitations from Activision for what was called the Soundial festival.They had all these band names on it but none of the band names seemed familiar to anybody.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And a lot of people thought it was a new guitar hero being announced.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Personally i don't think we're going to see a more realistic guitar hero, i think the graphical style of the game maybe more realistic and more interactive but i think that Rocksmith has that section or at least that segment of the market covered with allowing people to learn real guitar, bass and do vocals as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '. But that's my thoughts on it and i'd like to know what you're guys thoughts are.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm going to have all the information tomorrow probably in the afternoon or evening about when Guitar Hero is actually revealed and all the information we know about it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And we've heard rumours in the past that the new guitar hero would be much more realistic in it's approach to the series.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe it could be something similar with what we've seen with Rocksmith with allowing people to play real guitars.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/_BvNNdEkhZA/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We also see a drum kit in the trailer too and towards the very end.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_BvNNdEkhZA/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_BvNNdEkhZA/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_BvNNdEkhZA/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_aZDaIfGfPo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Rebecca Lee, Advisor at the White House Initiative on Asian Americans and Pacific Islanders.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_aZDaIfGfPo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_aZDaIfGfPo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_aZDaIfGfPo/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_aZDaIfGfPo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Affordable Care Act provides new options for affordable health coverage that covers a range of benefits, including important preventive services with no out-of-pocket costs for millions of Americans, including the Asian American and Pacific Islander communities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_aZDaIfGfPo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_aZDaIfGfPo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_aZDaIfGfPo/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_aZDaIfGfPo/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The event will take place on Thursday, January whitehouse dot gov slash aapi to find out how you can participate in this Hangout and to submit your questions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_aZDaIfGfPo/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_aZDaIfGfPo/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_aZDaIfGfPo/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a professor here at Stanford and for the past eight years, I've been teaching the class \"The Design and Analysis of Algorithms.\" And I'm pleased to say that for the first time we're going to be offering this class online, freely available to everybody.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While the emphasis of the course is on timeless ideas and key principles.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/12.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'On occasion, we'll also talk about applications, like for example, how the graph primitives that we learn are useful for reasoning about the web and social networks.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To maximize the benefit that you will derive from this class it will also include regular tools for self assessment, quizzes, and assignments.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So in summary, when you study algorithms, it's a ton of fun because you wind up learning a lot of the greatest hits of from the last 50 years of computer science and I very much hope I'll see you in January.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So here at Stanford, the design and analysis of algorithms is the corner stone of the computer sciences curriculum.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, the ideas that you learn in this class are critical for literally every other branch of computer science and not only that also increasingly in the natural sciences in particular in computational biology and even in the social sciences, for example, in economics.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'On a more just purely pragmatic level, I have to say that every year when I teach this class several students come up to me afterwards and tell me it was the key class that got them to ace all of the questions in their mechanical interviews.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, we'll start out by talking about the divide and conquer algorithm design paradigm, in particular with applications to fast searching, sorting and multiplication.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Second, we'll talk about several blazing fast algorithms for manipulating and reasoning about graphs.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Such as computing connectivity information and also shortest paths.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So continuing with the bankruptcy theme I wanted to talk about some other brands that have filed for bankruptcy in the last few years' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One very notable one is American Apparel, especially since they've filed bankruptcy twice within the period of a little bit over a year' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But they're much more influenced now by the designer runways because of internet easy access to viewing collections online' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Teen trends used to be very isolated from runway trends but now with the rise of the internet and also access to cheap runway copies, any potential business for these outdated teen retailers has sort of been absorbed by companies like H&amp;M, Zara, Forever 21, and other online niche brands' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The third thing is that social media celebrates diversity' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When I was a teenager there wasn't social media and it was much more common to just want to fit in, to look like your peers, to dress like your peers' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But today if you want to stand out online you have to be different and how many Instagram followers you have sort of overrides what your peers think of you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you are the kid in school that has the most followers out of that anyone else, then you probably are the cool kid in school because you have the biggest following you have the biggest influence' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think that you know it's sort of like just like the the value of sort of businesses, bloggers, and brands are sort of partly based off of the influence they have and how many followers they have teenagers acceptance among peers is also sort of based off of your influence your online influence' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And these troubled brands they just really didn't utilize this at least not fast enough' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's kind of crazy' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Other brands include Pacific Sunwear, Cache, Wet Seal, and Quicksilver' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if you kind of listen to the names of these brands you might figure out that there's a pattern' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of these are very teen specific or sort of focus on a younger customer' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think there's sort of three big reasons why these types of companies are having trouble' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Number one is that trends are moving a lot quicker than they used to when I was a teenager' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're not as stagnant and there's been a huge acceleration over the past ten years of teen trends' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The second thing is that teen trends used to be a much more segregated niche' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/a-WihYDk6vc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay we have talked about the person and the family in this birthday speech.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/a-WihYDk6vc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/a-WihYDk6vc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/a-WihYDk6vc/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/a-WihYDk6vc/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Whatever it is you want to take this time in the speech to talk about what it is they do specifically any achievements that they have in relation to their work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/a-WihYDk6vc/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/a-WihYDk6vc/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/a-WihYDk6vc/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/a-WihYDk6vc/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Any awards that they've won or raises or promotions or rushing up the corporate ladder.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/a-WihYDk6vc/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/a-WihYDk6vc/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/a-WihYDk6vc/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'VENKAT: I got interested in entrepreneurship and teaching entrepreneurship because of my experience that I had early in my career.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of the most exciting times I've had were those two years when I worked for a spin-off of a large company, where we decided to start a new business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after two years of that experience, I decided to come to the USA, get a PhD, and I decided to do it in the area of entrepreneurship.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Darden was a natural home for me, because it's a place where not only can you practice and research and write what you believe in, what you feel strongly about, but it also put a lot of value on good teaching.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I read about entrepreneurs and the way they do things with my students.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/19.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so this is a natural and a perfect home for me to come and teach and practice the field of entrepreneurship.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because at the end of those two years, we had a beautiful product and we had many customers for that product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/aK5tRCXjUvU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, so today I'm going to speak to you about this product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aK5tRCXjUvU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aK5tRCXjUvU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aK5tRCXjUvU/0.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We keep each other safe, you know what I'm saying' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But we can't because we -- you know, the system wants to divide and conquer so they find a way to do that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're all equals in this, you know what I'm saying' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's us against them, it's not us, us, us, them, them, them, and the big man -- no' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They don't care about all our little subgroups, they just see us as money bags and statistics, that's all they care, you know what I'm saying' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For far too long, the greatest predictor of how well you will do at school has been your parents' income.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're a teacher or a school governor and you're watching this video thinking about how much money this might mean for your school, it's really worth asking whether your school has done everything it can do to make sure that every child who's eligible for free school meals is actually registered to receive it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Make sure you get the extra cash that your school needs because it will make a difference to working with those students and making sure they get the best opportunity in life.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Every child deserves a chance, they deserve a chance to be the best that they can be and that's why the Government is introducing a pupil premium.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not only is it  increasing to £600 per pupil but also taking in many more students, reaching many more disadvantaged students who deserve that extra chance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The pupil premium is already making a big difference in schools.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Schools are using it to pay for one-to-one tuition, extra catch-up classes,  parent support advisors, all the things we know make a difference for children who are falling behind.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's simply not good enough that how well you should do at school is so dependent on your parents' background.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/b1LEcg6z66g/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have to break that cycle because of course how well you do at school will depend on how well you then go on to do in your job, how much you earn, how well you can support your family.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b1LEcg6z66g/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b1LEcg6z66g/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b1LEcg6z66g/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/bAkUEnPoucg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Peter puts it out there in very plain language, and after you follow what he is doing there and you watch the stocks that he has provided over time you get a certain level of confidence ok, that Peter does know what he is doing!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bAkUEnPoucg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bAkUEnPoucg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bAkUEnPoucg/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/bAkUEnPoucg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Um, in this case you don't have to invest too much you can start with just a small amount and then end up with double that which is great!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bAkUEnPoucg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bAkUEnPoucg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bAkUEnPoucg/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The American Board of Internal Medicine, more often referred to as the ABIM, offers certification exams for all types of physicians and specialties, including Internal Medicine, Geriatric Medicine, and Transplant Hepatology.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Most of the certification exams last about 10 hours, including scheduled breaks, except for the Cardiovascular Disease exam which lasts about 14 hours.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are 4 sessions in all, with each session lasting about 2 hours.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their website provides the best study guides, flash cards and practice tests around, so go check it out.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can also find links to these resources in the description below, or do a simple Google search for \"Mometrix ABIM.\" Thanks for watching, and good luck on your ABIM Certification exam!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/bQ8QteHvrEk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well what the recession has shown us, and of course let's not forget that it's ongoing because there are still millions out of jobs and millions of homes being foreclosed, is that in order to bring readers and customers to your brand, you need to make sure they are engaged.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bQ8QteHvrEk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bQ8QteHvrEk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bQ8QteHvrEk/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'production, so if that doesn't interest you, you might not like this book' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We enter the story when Callie kisses her crush on the cheek, making their relationship super awkward' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'She decides to distract herself by focusing on theater, but her focus is interrupted by the introduction of two fraternal twins, low ticket sales, and off stage drama' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If she wants the play to be a success, she'll have to learn new skills and work to keep the cast from fighting' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Through the process, Callie becomes a better friend who is less consumed by her love life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The other characters overcome obstacles as well' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One must overcome stage fright to audition for the play, and another learns that he can have a piece of the spotlight without ruining his brotherly bond' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Overall, I enjoyed this middle grades contemporary romance' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay, welcome back we're going to finish talking about delivering speech.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now breathing can help you slow down, and calm down, and relax, but it's just a fact that you talk faster when you're nervous, and you're probably going to be nervous.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not too slow, where it becomes boring, but not so fast where we can't understand you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Have your audience members--your mom, your dad, your dog, whoever you're practicing in front of, let you know if you're going too fast or too slow.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'eight years under senate leadership under Harry Reid' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now we are starting to see the Democrats fight back' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They wouldn't be able to run his business, but that is Donald Trump's plan right now' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Making him in direct violation of this law if it were to ever pass' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/4.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That is why Republicans won't let it go forward' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're not going to give this thing any floor time at all because they know that Donald Trump is not going to divest from his corporations' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/6.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are four exchanges used in the  counting method, and these exchanges  are similar, as I was saying earlier, to  borrowing in print.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The exchanges for  addition and multiplication are the  same and the exchanges for subtraction  and division are the same.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm going to explain how  these are used, and then we're going  to talk about setting and reading  numbers on the abacus before we  start to talk about addition and  subtraction on the abacus.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If possible the exchanges of  the beads needs to occur in one movement as you count and move  the beads toward or away from the  horizontal counting bar.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So  that's really important for you to also  remember, that they can occur anywhere  on the abacus.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/c1a1y9ytHH0/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now we're going to talk  about the four exchanges that are  used in the counting method.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c1a1y9ytHH0/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c1a1y9ytHH0/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c1a1y9ytHH0/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/c5cB7AfVgcE/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's important that where you're sitting, you're in a commanding position; you face what is going on, and you feel comfortable.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c5cB7AfVgcE/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c5cB7AfVgcE/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c5cB7AfVgcE/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/c5cB7AfVgcE/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You don't feel like you don't know what could surprise you from behind.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c5cB7AfVgcE/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c5cB7AfVgcE/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c5cB7AfVgcE/13.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/c5cB7AfVgcE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In any high powered executive's office, they are facing the door.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c5cB7AfVgcE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c5cB7AfVgcE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c5cB7AfVgcE/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/c5cB7AfVgcE/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The desk is never against the wall, with their back to the door, and having your back to the door in general; wherever you're sitting, is not a great thing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c5cB7AfVgcE/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c5cB7AfVgcE/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c5cB7AfVgcE/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Do you have jeans in stock' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" If the shop has the clothing you're looking for, you will want to try it on before you buy it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can try on the clothing in the changing room, a room for trying on clothing' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Vicki: After you've tried on the clothing, you might want to change the size or colour' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can ask, \"Do you have this is another size' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" \"Do you have this in a size eight' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" \"Do you have this is another colour' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" \"Do you have this in green' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" You've tried on the clothing, it's the right size and the right colour, now you want to know how much it costs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/d8BR6hsvzoY/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're buying one item, you can ask, \"How much is this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/d8BR6hsvzoY/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/d8BR6hsvzoY/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/d8BR6hsvzoY/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, welcome to today's Encourage Mint, which is meant to freshen, your day' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/0.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Seeing past the flaws' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't get all bent out of shape because this thing is eating away at you, the way it presses your buttons or something' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you can see the person in the context of who they are, really, behind that flaw, or who they're going to be, or who they can be, it will make for a better, better situation' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/11.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We all have flaws in our life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are littered with flaws' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of them are ok' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's like the shape of my head is flawed somehow, but it makes me unique' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/5.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But there are some flaws that we don't really want to have in our lives, they're like the flaws of the way we think' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe personality traits that you know don't come out right in public when they should, or something' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, I want to encourage you today, when someone you're dealing with has a flaw that's very obvious, most likely they're working on it, or they're aware of it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/8.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So try to see past the flaw' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Here are a few thoughts on dealing with late paying clients.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dealing with late paying clients is the bane of every photographer's existence.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Heck, I'm sure it's the bane of most businesses existence, especially those that deal with people who provide services and then pay at a later date.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once you learn these things, if it's not in the system, provide the accounting department with a copy of the invoice and your W-9, letting them know that you anticipate being paid soon.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Also provide them with the contact information for the person who originally secured your services.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're dealing with a particular client that's an individual or a family, make certain that you're dealing with them directly not providing the finished product until you've been paid, will minimize the likelihood that you're going to get paid late by any individual client.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dEDbm2ubVRQ/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dEDbm2ubVRQ/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dEDbm2ubVRQ/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/dt641WxonBI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I attended Morton College from 2009 until currently actually.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dt641WxonBI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dt641WxonBI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dt641WxonBI/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/dt641WxonBI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The classes are mostly for people who just got out of high school and they need to do a two-year program.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dt641WxonBI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dt641WxonBI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dt641WxonBI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/eKRWfaizBO0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is less stress; there is less memory of the whole event which can sometimes be quite a bit to go through.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eKRWfaizBO0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eKRWfaizBO0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eKRWfaizBO0/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/eKRWfaizBO0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think it is just a kinder, gentler way for the patient to have the operation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eKRWfaizBO0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eKRWfaizBO0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eKRWfaizBO0/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey Guys, its Donny And no I'm not in Toronto I'm in Italy! But I want to tell you a little bit about the story of what I just went through Yes, many of you know I bought a house recently And I've been telling everyone I know' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'NOW is the time to take advantage of an opportunity I;m serious! And I believe it so strongly that I, myself who is not looking for a home- bought a house! I think opportunity is knocking guys, and that window is gonna get shorter and shorter Now is the opportunity to get int he market and move up and take advantage of some of these prices in the weaker demand' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, anyhow I'm walking proof that I walk the walk' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I really believe that this is the best strategy right now And in 6 months, 9 months time; I'll put out a video talking about what I went through to get to that point' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I cant wait to share my successes, and some planning as to how I'm going to handle the house and renovate it But more importantly, I'm creating wealth! Its all about creating wealth' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/erNDEjQeox8/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They validate your vision and they say okay, you are not crazy.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/erNDEjQeox8/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/erNDEjQeox8/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/erNDEjQeox8/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/erNDEjQeox8/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And when people that you appreciate say something like that and actually put their money where their mouth is, it's something very special, something very special happens when when they do it for some people, for most people even if.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/erNDEjQeox8/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/erNDEjQeox8/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/erNDEjQeox8/12.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/evAswZ6m3hg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'just this lens here so I'll try not to move around too much and then it doesn't bug you too much' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/evAswZ6m3hg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/evAswZ6m3hg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/evAswZ6m3hg/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/evAswZ6m3hg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If I don't have my glasses on I can't see the screen on the camera so I don't know what's going on' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/evAswZ6m3hg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/evAswZ6m3hg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/evAswZ6m3hg/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/evAswZ6m3hg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The first thing and I think it's the most important and probably the one that most people will say, and that is to not force it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/evAswZ6m3hg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/evAswZ6m3hg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/evAswZ6m3hg/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ewBrNsyY82Q/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You might have people, and when I talk about culture, I'm talking about culture within the United States like Texas vs New York, California vs Florida.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ewBrNsyY82Q/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ewBrNsyY82Q/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ewBrNsyY82Q/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/fPsy1co_nuw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This absorbency is like so much different than like a menstrual pad and it's great for liquid Overall, it works great It does what it needs to do Yep, that is it!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fPsy1co_nuw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fPsy1co_nuw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fPsy1co_nuw/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This course is designed to get you up &amp; running with socket programming very quickly, in a no fuss fashion.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This section will briefly cover the fundamental topics like a \"Host\" An \"IP Address\", a \"Port Number\", and things like \"Telnet\" We are going to use the \"Telnet\" utility in the sectiond section of our course.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We will cover topics like listening for incoming connections requests  Receiving data from a client, and sending data back to a client.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As soon as our server is in good shape, I am going to show you how to create a  TCP Client in the next section.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are going to learn how to use the TCPClient TCPClient class to receive data back on server.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It covers some very important yet slightly advanced topics.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the next video I am going to show you how to use your code to find the IPV4 address of your machine the next three videos are going to cover a topic that was not originally included in the course Every now &amp; then some student will ask me why I'm not showing in the course how to handle multiple clients in the server.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the end, I must tell you that TCP/IP sockets are the heart of the HTTP protocol which underpins the internet.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/24.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Peer to peer communiction using TCP/IP sockets is a very interesting topic in itself.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am a programmer who's spent a lot of time in the trenches.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Of course you'll have to watch it :p My course is divided in several sections.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To fortify the learning experience, I've also added some quizzes.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just wanted to do a quick review of the Icy Anti-Slip Grips.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And you could see I've worn them with boots, I've worn them with tennis shoes, I've actually worn them with nicer shoes when I'm going in to work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You could come in and take this off, and throw them in the sink and rinse it off.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So you don't get that sludge sort of tracking in to your house.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Plus, you can get inside really fast with these on the bottom of your feet.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I actually have a friend who recommended these to me because I was complaining about slipping on the icy sidewalk up to work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They just so much more convenient than stupid boots that take forever to put on and just aren't comfortable!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now I can wear these with my sneakers that, you know, I love how they feel.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One thing I've found out about the Icy grip soles that I was not expecting is that they are actually convenient to use indoors too when you're cleaning, when you're moping the floor.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what I found is that I just pop these over my tennis shoes and I don't have to worry about it anymore.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I can just mope my floor, no worries about slipping or falling anymore, which is really convenient!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My husband thinks I'm crazy, but I absolutely love them and I just feel so much better when I wear them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You could use them for the snow, you could use them indoors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think you can see all the little ridges in there, that's what keeps you from slipping.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And all you do, you kind of take it, and it stretches out, and you stretch it over any shoes you're already wearing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/9.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/fe2CWCpdTF8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'bjbj Hello my name is Ava Castillo; I am a Kindergarten Bilingual teacher in Fort Worth, TX.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fe2CWCpdTF8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fe2CWCpdTF8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fe2CWCpdTF8/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/fe2CWCpdTF8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When they play with their peers, I get to hear No it s my turn and they explain to their peers how to play in the center, so it is really good, really good.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fe2CWCpdTF8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fe2CWCpdTF8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fe2CWCpdTF8/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ffrJ91swyq0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So you've got now 250 monitoring companies who are out there monitoring the web and, oh, we can give you sentiment analysis and all these wonderful terms that they really can tell you what's being said.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ffrJ91swyq0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ffrJ91swyq0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ffrJ91swyq0/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ffrJ91swyq0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But it's very quickly moved into, OK, we all for a variety of abilities know what people are saying.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ffrJ91swyq0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ffrJ91swyq0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ffrJ91swyq0/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You may be aware that the funding for public broadcasting is being considered for elimination by congress in next year's budget.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While this is not the first time this has been considered, the threat of defunding the Corporation for Public Broadcasting has never been more real than it is now.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's true that federal support is only a part of the funding necessary for public broadcasting to operate.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The very essence of public broadcasting—programming for you, your family, and your community, uninterrupted and with the uncompromising expectation of quality and respect for the viewer's intellect.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We urge you to contact your congressional representatives and make your opinions and wishes known regarding the funding of public broadcasting.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a story about a boy named Park and a girl named Eleanor who go to school in Omaha, Nebraska.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their relationship begins to get more physical, but Eleanor's step-father discovers her relationship with Park and is upset.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/10.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Eleanor also figures out that her step-father has been the one writing those perverted messages in her books.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/11.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the end, life goes on for both Eleanor and Park, but she finally writes back after over a year of silence.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As always, a lot can be said about this story, but what draws my interest and attention is the idea that while Asian women are sometimes portrayed in the media as desirable, we don't really see a lot, if any, Asian men as objects of desire.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/16.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He feels undesirable, in a way, because he identifies himself as Asian and he sees a lack of Asian men in the media as desirable.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Her family life isn't too great, as her father abuses her mother and verbally abuses her.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And while there have been Asian men who have been action heroes, like Bruce Lee and Jackie Chan, they're more viewed as weapons or comic relief, not necessarily as romantic love interests.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The identity of Asian men in our culture is not a big theme in this story, yet the author was aware of the issue enough to bring it up.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/21.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are two imperfect people trying to make a relationship work.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/24.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Both are worried about perception and why the other person would want to be with them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/25.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Eleanor for her size and lack of femininity; Park for his low self-esteem.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/26.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't forget to subscribe for more Minute Book Reports and thanks for watching.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/28.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Since she is the new girl, Eleanor has no place to sit on the bus, but Park eventually lets her sit next to him.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As weeks go by, Park and Eleanor develop a friendship based on their love of music and comics.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One day, they start holding hands and their feelings for each other blossom into a romance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'During the holiday break, Eleanor spends more time with Park and his family, nearly going to his house every day.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you said \"anata to aitakatta\", you'd be saying something more, I think, like \"I've been wanting us to get together, I've been wanting us to meet together' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" There it's much more of a mutual idea, the idea that is there is activity going on on both sides of the interaction' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the causative form, as we discussed in the causative lesson, you can't use to at all' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can only use either wo or ni' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, it's because when you do a causative action you are very much in control of the action' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/gVqs4TzqySw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You're either making someone do something or allowing them to do it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gVqs4TzqySw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gVqs4TzqySw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gVqs4TzqySw/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I'd like to talk to you about how to get construction financing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's also building inspections that will help to indicate how far along that construction job is.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A good contractor will help you through that, a good mortgage broker will be, help you even more.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You found your perfect piece of property and now you want to build your dream home on it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's the bedrock of all rights, because if you don't have legal capacity, then your rights are taken away' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so for us it's been a huge priority in our work to ensure that people will not have their legal personhood stripped' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The fact that persons from the movement are more and more involved into politics, policy, and working internationally, that will at some point bring better results' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, we are now in a—let's say—new phase where we are in a possibility to use both CRPD and the Agenda 2030 to move the rights of people with disabilities forward' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because of the convention, governments have much more awareness about disability issues' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They know they should do something' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They don't always know what to do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/hrLoOAh_8LY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm Karen Nguyen, director of small business marketing at Rogers, and I'd like to invite you to the Rogers Business Forum.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hrLoOAh_8LY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hrLoOAh_8LY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hrLoOAh_8LY/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/hrLoOAh_8LY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This content hub will give you access to exclusive webinars, thought-leadership blogs, and social contests.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hrLoOAh_8LY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hrLoOAh_8LY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hrLoOAh_8LY/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/hvfaYsv7p8E/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The next thing I want to talk about is something that you actually don't want to do.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hvfaYsv7p8E/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hvfaYsv7p8E/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hvfaYsv7p8E/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/hvfaYsv7p8E/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The criticism is over, and it was not constructive that way.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hvfaYsv7p8E/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hvfaYsv7p8E/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hvfaYsv7p8E/12.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/hvfaYsv7p8E/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are defensive, therefore you cannot be an open listener, you cannot take in any new information, therefore you cannot improve.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hvfaYsv7p8E/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hvfaYsv7p8E/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hvfaYsv7p8E/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/hvfaYsv7p8E/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So it is--not that you can't have questions, not that you can't have concerns, but you should not respond defensively.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hvfaYsv7p8E/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hvfaYsv7p8E/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hvfaYsv7p8E/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the kind of investors that could become a liability on the company, are those that are either very bad in the way they manage the relationship with the founders.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or they will demand all kind of terms that would basically take away either the control of the destiny of the company or slow down the company.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so, when I see investors that are requiring extreme veto rights, or they're requiring to be the ones approving stuff, or investor I've even seen investor that say I want to sign on amounts of the company spends above a certain level.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so, all things equal, go with good investors that move fast.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And these are the ones you need to insist on, on removing the ones that slow you down.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/21.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The second thing, never take money from an investor without talking to at least one company, preferably more, that they invested in.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/22.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just like the investor due diligence is you, you need to due diligence them because that's marriage.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/23.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Only then start thinking about who can help me the most and who can bring me the most value.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/28.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/29.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then, when you think about who can bring me the most value, it's important to not think about who brings me the most value hands on, because you don't want your investors to be hands on with the business that you're building.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/29.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/29.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/29.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In between getting a great investor in three months, or getting a good investor now, go for the good investor now.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's two things, is who gives me the most credibility in the market.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/30.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because let's say that you're building an open table like business, and if you've got an investor which is an open table x executive that brings you lots of credibility with investors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/31.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then fulfill the rest of your needs in terms of people that will help you through advisors or anything else.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/iUXqlrui25c/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think that this is good advice in general, because as I said, speed is the most important thing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/iUXqlrui25c/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/iUXqlrui25c/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/iUXqlrui25c/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/icbUzboLcDQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'RM: I LOVE YOU~ Jin: Are you say ''Hyung-nim, thank you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/icbUzboLcDQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/icbUzboLcDQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/icbUzboLcDQ/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/ioupaiAuRr0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm financial adviser Patrick Munro talking today about how to find the best annuity companies.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ioupaiAuRr0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ioupaiAuRr0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ioupaiAuRr0/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ioupaiAuRr0/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's also the Best Rating Agency, just like it sounds, Best, there's Moody's, and there's also Fitch, F-i-t-c-h.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ioupaiAuRr0/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ioupaiAuRr0/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ioupaiAuRr0/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ioupaiAuRr0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you find an insurance professional and he's licensed, he should be able to provide all the ratings from the best insurance companies for you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ioupaiAuRr0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ioupaiAuRr0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ioupaiAuRr0/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ip8xwAr4MRE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please explain your answer in detail and what you would, or would not do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ip8xwAr4MRE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ip8xwAr4MRE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ip8xwAr4MRE/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ip8xwAr4MRE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I feel strongly that on or off duty, every firefighter is a representative of his or her department' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ip8xwAr4MRE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ip8xwAr4MRE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ip8xwAr4MRE/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ip8xwAr4MRE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'With that foundation, and for that reason, I would certainly bring this situation to the attention of a ranking officer of my department' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ip8xwAr4MRE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ip8xwAr4MRE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ip8xwAr4MRE/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'SARAH MCINDOE, CAREER CONSULTANT: In any industry there are lots of different jobs.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To find the one that's right for you, it helps to understand what makes the whole industry tick.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, we all know about designers and models - but there's much more to it than designing and wearing clothes; the fashion industry also has, buyers, merchandisers, even advertising positions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once you understand an industry, you can think about how your skills and abilities would fit in.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You might like an apprenticeship in pattern making or tailoring.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are no court hearings if you and your spouse agree or the other party does not respond.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your case can be completed very inexpensively - using our services, you can save about 75% versus hiring an attorney.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are not charged extra for including debt, property and issues related to children.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you are not a Nevada resident or do not qualify for a Nevada annulment, we can also process a Dominican Republic divorce that is valid for residents of many states.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We would like to help you with your divorce or annulment and can provide same-day service.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please visit our website at nevadadivorce.net, call us at 1-888-326-8876, or view our other videos.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/15.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our friendly and knowledgeable staff is waiting to answer all your questions, including evenings and weekends.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/16.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Established in 1995, we are the first online divorce company in Nevada and our services are guaranteed.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are the only Nevada paralegal firm on the Internet that is attorney supervised and is accredited by the Better Business Bureau with an A+ rating.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have enough to worry about - so let our caring and helpful staff assist you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We do all the work, including preparing the papers, filing the documents with the court and returning the finalized decree to you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your spouse is not willing to sign or cannot be located we can file a Complaint action.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '- So to give you a big picture of what will be presented to a college, from your point of view as a student, you'll be submitting an application.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'How they use the rest of those components will vary greatly by school.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Basically giving an overview of who you are and what you're doing, but there'll also be lots of other information that's submitted that an admissions office will use.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'From your high school, they will submit a transcript with your grades and courses you've taken.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There also will be probably a guidance counselor or college counselor letter of recommendation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of schools also require one or potentially two letters of recommendation from teachers, so that could possibly be in the file as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/jPrEKz1rAno/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If the school requires any kind of standardized testing, from SAT, ACT, potentially AP or IB scores, those sorts of things, they could be in your file as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jPrEKz1rAno/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jPrEKz1rAno/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jPrEKz1rAno/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jrDqduyQrfo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Frederick \"Ricky B.\" Burchell with B4 Entertainment on behalf of Expert Village, and today we're going to talk about producing, manufacturing, marketing, and distributing your independent CD.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jrDqduyQrfo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jrDqduyQrfo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jrDqduyQrfo/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jrDqduyQrfo/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So get your street team and have them work the venues and stuff that's going on, events that's going on and make sure they're passing off flyers.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jrDqduyQrfo/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jrDqduyQrfo/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jrDqduyQrfo/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/jrDqduyQrfo/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now you say, \"What is a street team?\" Well basically a street team is a team of people that go on the streets and need to pass off flyers and put up posters.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jrDqduyQrfo/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jrDqduyQrfo/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jrDqduyQrfo/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/jrDqduyQrfo/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Lots of times, they may have a big festival or a big event or big concert.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jrDqduyQrfo/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jrDqduyQrfo/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jrDqduyQrfo/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '25 and was off this past week - its obvious that Klepper is aiming for a Colbert Report-style approach' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like Colbert, Kleppers host is a pompous know-it-all who isnt just conservative, but has alt-right leanings' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The satirical punch comes from spotlighting what a nincompoop he is' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/2.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Whether the world needs another show in which a comic windbag spouts philosophy like, Tomatoes are lying to us' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If youre savory, youre a vegetable, not a fruit, and Tomato, tomahto, make up your mind' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/kbGhEJ4W44o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Innovation is social, not the preserve of lone geniuses; anarchic and anti-organisational, as well as needing failure and risk to succeed according to Professional Services firm Deloitte.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kbGhEJ4W44o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kbGhEJ4W44o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kbGhEJ4W44o/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/kfsO4c0Ekes/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'THE PRESIDENT: This morning I got a phone call from Tony Snow.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kfsO4c0Ekes/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kfsO4c0Ekes/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kfsO4c0Ekes/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/kfsO4c0Ekes/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'His attitude is, one, that he is not going to let this whip him, and he's upbeat.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kfsO4c0Ekes/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kfsO4c0Ekes/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kfsO4c0Ekes/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/kfsO4c0Ekes/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so my message to Tony is, stay strong; a lot of people love you and care for you and will pray for you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kfsO4c0Ekes/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kfsO4c0Ekes/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kfsO4c0Ekes/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/kfsO4c0Ekes/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm looking forward to the day that he comes back to the White House and briefs the press corps on the decisions that I'm making and why I'm making them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kfsO4c0Ekes/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kfsO4c0Ekes/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kfsO4c0Ekes/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/kvUb78Rdzdc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If I were to develop a mobile set-up the way that this plugin allowed me to do, it would cost me between 1500 and 2000 dollars.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kvUb78Rdzdc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kvUb78Rdzdc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kvUb78Rdzdc/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/kvUb78Rdzdc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I got it looking and working exactly how I needed it for $80. So anybody considering using this: amazing support, amazing extension, works exactly as it should If you need any help they will make sure That everything works out the way you need it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kvUb78Rdzdc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kvUb78Rdzdc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kvUb78Rdzdc/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Leadership of Board committees is a really important part of their success.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The selection is usually made by the Board Chair for committee chair leaders.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So the Board Chair is the person who invites and makes the decision about committee chairs.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Usually it's with the advice and recommendation of a Governance Committee.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some Boards have a tradition of having Vice Chairs for the Board as well as for committees.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So you you have a Board member retiring or they're moving from one position to another.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/lWf5hHRHIDs/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What is your main values that you can bring into your business?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lWf5hHRHIDs/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lWf5hHRHIDs/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lWf5hHRHIDs/11.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/lWf5hHRHIDs/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now many of us never look at what our values are, we don't sit down, we know we have some values, but we don't sit down and think about what's the most important thing to us.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lWf5hHRHIDs/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lWf5hHRHIDs/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lWf5hHRHIDs/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/lWf5hHRHIDs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This can help you make the decisions that you need to make in your life, in your business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lWf5hHRHIDs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lWf5hHRHIDs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lWf5hHRHIDs/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/lawHYX5eB20/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" And that's why they close down and go quiet' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lawHYX5eB20/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lawHYX5eB20/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lawHYX5eB20/1.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/lawHYX5eB20/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, the next time you're around a native speaker, speak to the native speaker on a level with them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lawHYX5eB20/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lawHYX5eB20/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lawHYX5eB20/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/lilHOUfWrIA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'GREG PULSIFER: From the standpoint of leveraging your e-commerce business, I think that there is a expectation, or a perception, out there that it's brick and mortar verses e-commerce, even in the same company.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lilHOUfWrIA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lilHOUfWrIA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lilHOUfWrIA/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/ly3QDQDJzzQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Compared to traditional fuels, shale gas has recently been touted as a low-cost, carbon-friendly alternative.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ly3QDQDJzzQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ly3QDQDJzzQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ly3QDQDJzzQ/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the big reason why thirty-two bit versus sixty-four bit is such a big deal.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Programs were written originally with a thirty-two-bit limitation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/11.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'By opening up the RAM from thirty-two bits to  sixty-four bits, the RAM goes from four gigabytes into the petabyte range, I mean it's just vast beyond words to describe, which means probably by next week we'll figure out a way to fill it up     but the fact is, Final Cut needs to have it's software actually recoded, rewritten to be able to support   the additional RAM that you've got.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/13.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So the reason you're getting an \"out of memory\" is that you're filling that four gigabyte limit.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The \"out of memory\" flag exists because your Browser is so full of stuff, either clips or sequences, and probably sequences, that is filling that two point five gigabyte limit to the point where Final Cut can't function.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The way you solve this problem is to get rid of clips in the Browser and get rid of sequences in the Browser that you no longer  need.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The easiest way, because I know people say, \"Wait a minute, I may need it.\" So make a backup of your file and the backup has all the stuff that you may need, but then you take out everything in the Browser for your current project so you slim that down.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's another good point, nobody asked about this, but I want to re-stress this because I got called into  Sony Pictures   on Christmas Eve, because they were doing an edit and all of a sudden the edit was blowing up.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/19.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sandra writes, \"I have twelve GB of system memory, yet when I'm working on a complex project  FCP will give me out of memory flags.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As your project file goes over a hundred megabytes, I'm not exactly sure why that's true, but it is, it starts to become unstable and when it becomes unstable, it starts to corrupt and when it corrupts,  suddenly you're going to lose everything.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/22.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your project size ever gets close to a hundred megabytes, do everything you can to reduce, take out sequences you don't need, take out clips you don't need, and you're gonna see that Final Cut starts to get really peppy.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Final Cut's ability to handle really really complex systems, really complex projects, is limited by the fact that all of it's clips have to be stored in RAM.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/24.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so to that end, you want to try to keep your Browser as clean as you can, and definitely keep an eye on your  project size.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/25.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is especially frustrating when I have sent the project to compressor and I've already spent an hour processing I  get the failed response.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My life is over, I'm going to start walking in front of large moving buses.\" Phew, wow, that's a lot of responsibility.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sandra, the fact that you've got twelve gigabytes of ram on your system does not mean Final Cut takes advantage of it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, having RAM on your computer is only  part of the equation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once the RAM is there, the programmers need to write  the program to take advantage of the extra RAM.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are three distinct reasons why you may not be seeing your ads.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your billing cannot be processed Google cannot show your ads.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you continue to Google your ad and bring up your search ad without clicking through, Google will deem you as an irrelevant user who is uninterested in the ad.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you select an accelerated delivery you can see your ad every single time you search your query, but do be aware that this is incredibly budget intensive and especially if you are in a large search volume industry.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/17.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the recommended best practice to view your ads as a blank slate user.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/19.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Stay tuned to our next video where I'll be giving an in-depth description of the ad preview tool and the keyword preview tool, so you too can view your ads like a pro.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/20.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The second is a budgetary and billing concern, and the third is your actual selection of delivery methods.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Budgetary and billing concerns are often the most overlooked reasons as to why your ads are not delivering.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In AdWords, daily and monthly budgets are set to reflect what you would like to see from your campaign spend.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your daily or monthly budget has been depleted your ads will no longer show as it's simply a factor of the click costs you can accrue within your budget.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's possible that there is an issue with the method of payment, an outstanding balance, or something that's causing the credit card to not process.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a definite reason why your ads will not be showing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/9.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/mjpCK2Edsv8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'hey everybody my name is Harper Jones and I want to just do a quick testimonial of for the 67 steps to finding the good life with Tai Lopez I am going through this program right now and it's absolutely phenomenal.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mjpCK2Edsv8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mjpCK2Edsv8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mjpCK2Edsv8/0.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/nUZYqTRSGDw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the alternative to that is to spend all your money and have debt and have the government look at you as a burden.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nUZYqTRSGDw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nUZYqTRSGDw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nUZYqTRSGDw/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/nUZYqTRSGDw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you start investing at a young age it becomes a habit to you and it becomes like second nature.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nUZYqTRSGDw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nUZYqTRSGDw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nUZYqTRSGDw/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/nyzIL6YAonY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is full of 3-D animation and high definition videos, so you won't be disappointed!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nyzIL6YAonY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nyzIL6YAonY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nyzIL6YAonY/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/nyzIL6YAonY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then download and review your free copy of our Guide to Better Hearing.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nyzIL6YAonY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nyzIL6YAonY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nyzIL6YAonY/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/nyzIL6YAonY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once you have all the information you need, I recommend that you schedule a no-obligation appointment with us to discuss your unique needs and help you find a solution that meets your budget.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nyzIL6YAonY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nyzIL6YAonY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nyzIL6YAonY/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is NOT just an imaginary voice in their head; it is NOT just their gut feeling.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Can YOU honestly say that you hear the voice of Jesus OUTSIDE OF THE BIBLE?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'OR are you one of these Christians who is an utter hypocrite because you believe God is dead?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/7.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'and it begins in focus' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What a viewer doesn't realize is that what's in focus is actually the mirrored image of the woman' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's not the actual image of the woman' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's the most important thing, is that through the eye of the video, you cannot tell real from mirror any longer' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Each time I go toward the mirror, I'm the one who's out of focus' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/pRdxEaLB8r4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'they have been underestimated than NITs and IITs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pRdxEaLB8r4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pRdxEaLB8r4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pRdxEaLB8r4/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/pRdxEaLB8r4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So its very essential that what UGC prescribed Should be implemented as soon as possible to the Central Universities as well' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pRdxEaLB8r4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pRdxEaLB8r4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pRdxEaLB8r4/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/pVs1daijYTw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The nuclear test that the DPRK conducted last month and its subsequent ballistic missile launches are provocative; they are threatening; they are a violation of the United Nations Security Council resolutions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pVs1daijYTw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pVs1daijYTw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pVs1daijYTw/1.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/pVs1daijYTw/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And China and the United States agree completely that this – these actions merit an appropriate response through the United Nations Security Council, which was promised if they violated a resolution, and it was promised in the last resolution.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pVs1daijYTw/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pVs1daijYTw/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pVs1daijYTw/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/q9yDL81QppI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Before we learn how to make better computers we need to learn what better means for computers and how do we measure that.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/q9yDL81QppI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/q9yDL81QppI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/q9yDL81QppI/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/q9yDL81QppI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In this lesson you will learn about latency and throughput, which we use as a measure of computer performance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/q9yDL81QppI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/q9yDL81QppI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/q9yDL81QppI/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/q9yDL81QppI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then we will look at how to measure performance of real computers using benchmarks and a few general ways to get good performance.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/q9yDL81QppI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/q9yDL81QppI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/q9yDL81QppI/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/qK77ZmbqmOM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The City of LA is engaged in a debate over it's current email system provided by Novell, it's the Novell Groupwide email system.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qK77ZmbqmOM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qK77ZmbqmOM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qK77ZmbqmOM/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/qK77ZmbqmOM/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then we should go and get the tools, the technology to bring it to life.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qK77ZmbqmOM/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qK77ZmbqmOM/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qK77ZmbqmOM/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/qK77ZmbqmOM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'LAs commitment or willingness to engage in an investment in technology  I think is misplaced.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qK77ZmbqmOM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qK77ZmbqmOM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qK77ZmbqmOM/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/qK77ZmbqmOM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then they host them on websites that utilize flash, that is not even indexable or searchable.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qK77ZmbqmOM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qK77ZmbqmOM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qK77ZmbqmOM/9.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/qY1sXq-YCHs/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So read your citation and look at the bottom for those instructions or preferably, contact an attorney, a DUI attorney as soon as possible.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qY1sXq-YCHs/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qY1sXq-YCHs/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qY1sXq-YCHs/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/qY1sXq-YCHs/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What happens is if you do not request that driver's license hearing within 10 days, your license is automatically suspended.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qY1sXq-YCHs/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qY1sXq-YCHs/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qY1sXq-YCHs/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/qY1sXq-YCHs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If it is a first time DUI and you took a chemical test, it will be suspended for 120 days.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qY1sXq-YCHs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qY1sXq-YCHs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qY1sXq-YCHs/6.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/qY1sXq-YCHs/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you refuse the breath test, it will also be for two years.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qY1sXq-YCHs/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qY1sXq-YCHs/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qY1sXq-YCHs/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I am here to tell you that we are up to, over 50% funded with the Kickstarter!!! That's amazing!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So Thank you to everyone who has donated it has been an amazing journey so far and I can't wait... there's 18 days left and... It's gonna rock!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm very hopeful and very confident that we will make this goal!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And as you can imagine, you know, in the head and neck region there's a lot of very important structures, their eyes, swallowing muscles, nerves, brain, spinal cord, salivary glands.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But what reassure patients is that, you know, we're here as a team.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not just me, but all the other people who work with us to get them through this.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, you know, we sort of knock them down and pick them back up along the way.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the precision of treatments over the last 15 years has just increased the margins.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The distance we have to treat around where the cancer is because of uncertainties is so much less now than what it was before.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We feel that we're precise to within a couple of millimeters.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The ability to take a patient who has a tumor of the tonsil or the tongue base or the larynx and treat them with radiation, spare function, so spare them a laryngectomy where the entire voice box is removed and still cure their cancer with radiation is incredibly powerful.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think the most important thing with patients is to be honest and to, you know, be up front about what they should expect.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You know, the treatments that we give are not easy to get through.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Have a construction or manufacturing project that requires weather protection from snow or wind?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A smart and cost effective solution is a temporary fabric shelter that provides protection from the snow, contains an area, or serves as commercial storage space.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our temporary fabric buildings and portable structures can be customized to fit any specific requirement you may have.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We provide stellar customer service, quick delivery, and installation can often be completed in about one week, depending on the size.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To learn more about our temporary buildings and shelters, call us at 1-800-330-9294 or visit our website at ShelterStructures.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r8Jyl2Bfl14/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '&gt;&gt; Well, after spending three days here at the World Economic Forum in the India Economic Summit, I think it's very realistic India can become a superpower.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r8Jyl2Bfl14/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r8Jyl2Bfl14/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r8Jyl2Bfl14/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r8Jyl2Bfl14/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So again, superpower, superpower, super country has many definitions.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r8Jyl2Bfl14/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r8Jyl2Bfl14/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r8Jyl2Bfl14/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/r91csZc6AXE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Western Red Cedar siding should be install over a breathable home rap product like Tyvek Drain Wrap.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r91csZc6AXE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r91csZc6AXE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r91csZc6AXE/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/r9tgDqXEcuc/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is something that you need to consider when building them, the dryness of the area, whether or not it is a safe thing to do.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r9tgDqXEcuc/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r9tgDqXEcuc/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r9tgDqXEcuc/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r9tgDqXEcuc/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once again this is not something that you should do recreationally.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r9tgDqXEcuc/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r9tgDqXEcuc/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r9tgDqXEcuc/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/r9tgDqXEcuc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As a matter of fact you are going to want to build three fires in fairly close proximity to one another.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r9tgDqXEcuc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r9tgDqXEcuc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r9tgDqXEcuc/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/r9tgDqXEcuc/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What we are doing here is combining efforts to increase your chances of being seen from the road and also to serve as a ground air signal.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r9tgDqXEcuc/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r9tgDqXEcuc/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r9tgDqXEcuc/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'hey hey hey Sherri Brown here with a super sweet and awesome promotion for anybody looking to take their business to the next level.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/0.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you are ready to get unstuck, optimize your profile and position yourself as a credible source then this Over the next 30 days, my goal is to pour myself into you and your business and set you up for success!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'August ninth is the last day this will only be offered and it's to the first What's going to take place is you will be brought into the same marketing system that took me from struggling, overwhelmed, and honestly just failing in the industry, to actually generating leads daily into my business.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Here's the cool thing, so for the first 15 people that come on with this, these are the bonuses that you are going to receive.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey, how's it going?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Victor Macias.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what we liked is it definitely has that fresh, light scent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It almost has like a spearmint type of scent to it, and after using it, you could subtly smell it, but it wasn't overpowering.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it cleans very well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It definitely created a good lather and left my hair feeling really good and really clean.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Next up is the Axe 24 hour deodorant.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now this is the same scent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's the Fresh, but it is noticeably stronger.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/16.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now that's not necessarily bad, especially if you're a fan of the scents of Axe and you plan to wear a body scent after.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This could be your primary scent to wear after you go to the gym or something.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It definitely, it worked.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/19.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am the co-founder of Malestandard.com, and today I am excited because I have another product to review for you guys.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm not an overly sweaty person, but I did feel dry, and when I wore this product I did not wear any other fragrances with it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I got a lot of good compliments actually from it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/21.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One definitely from my girlfriend, and it's not just because she's my girlfriend because I have tried other products and have not had favorable results sometimes.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/22.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So this is definitely something good.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/23.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But what really excited me was the campaign that they told us about.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/24.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now if you go to Wal-Mart and you purchase a package of specially marked Apollo Axe, you'll find a code.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/25.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'With that code, you'll be able to go to a special website and the link is going to be at the bottom of this YouTube video, and it'll also be on malestandard.com, and you enter the code.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/26.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/27.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you select a winning package, you could win a trip to space.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/27.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/27.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/27.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean, how many of you have seen those commercials from Axe where it's showing the astronaut and the girl's going all crazy for the astronaut?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/28.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/29.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That could be you if you enter the code, if you purchase the right product.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/29.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/29.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/29.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This time, the good folks over at Axe have asked us to review their new Apollo line.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So overall, for an Axe product, we definitely dug it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/30.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We've tried different Axe products and I'd say this is our favorite so far, especially the scent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/31.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/32.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Fresh scent is really good.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/32.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/32.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/32.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/33.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the opportunity to go into space is awesome.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/33.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/33.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/33.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/34.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we will be posting this video on Malestandard.com with a more in-depth written review and the link to sign up for the Apollo space camp.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/34.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/34.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/34.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/35.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To enter for the chance to win is at the bottom of this video and will be on our website.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/35.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/35.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/35.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/36.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So thanks again for watching.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/36.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/36.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/36.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/37.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please remember to leave a comment and subscribe to our channel and visit Malestandard.com.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/37.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/37.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/37.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/38.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you very much.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/38.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/38.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/38.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I have the shampoo and conditioner here and I have the new deodorant here.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So in Male Standard fashion, the first thing we did was we looked at the shampoo and conditioner and we examined the scent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now what I have here is the Fresh scent.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if you've seen reviews in the past or read the reviews on our website, you'll see that we are big fans of subtle scents when it comes to shampoos and conditioners or body washes.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the main reason is because a lot of us like to wear cologne at night.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you have a really overpowering scent, it will clash and just create something that's really not what we wanted.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If neither the dictator nor the terrorists are the answer – and they are not – our challenge is to create conditions under which a clear and broadly acceptable alternative can emerge.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/11.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And over the last month, he has directed every member of his national security team to pick up the pace and move forward with ideas for degrading and defeating Daesh more rapidly, more completely, and permanently.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/15.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Second, we are intensifying our diplomatic effort to finally bring an end to the civil war in Syria.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The more progress we make on one, the more likely we are to succeed on the others.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/19.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a case, and there are many in history, in which two supposed enemies are in fact symbolic.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Loathing towards Assad drove thousands of Syrians into the arms of Daesh.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And fear of Daesh caused some Syrian groups to feel that they had no realistic option but to support the government.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's not just symbolic; that's a symbiotic relationship, each piece dependent on the other.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/rwNlqh0k1j4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The relationship between Assad and Daesh clarifies one of the apparent peculiarities of this conflict – that the two extremes have only rarely targeted one another.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rwNlqh0k1j4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rwNlqh0k1j4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rwNlqh0k1j4/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/sC16n1k66io/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Republicans have been at the heart and soul of environmental issues.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sC16n1k66io/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sC16n1k66io/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sC16n1k66io/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/sC16n1k66io/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think one of the best ways to talk about what it means to be a republican is to take people that republicans best identify as the leaders who are republicans.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sC16n1k66io/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sC16n1k66io/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sC16n1k66io/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/sC16n1k66io/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We go back to Abraham Lincoln, we like to talk about Teddy Roosevelt, we like to talk about Eisenhower and we like to talk about Ronald Reagan.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sC16n1k66io/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sC16n1k66io/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sC16n1k66io/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/sPremsknoLM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now why do I say that' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sPremsknoLM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sPremsknoLM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sPremsknoLM/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/sPremsknoLM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't think doctors should be accountable for their actions' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sPremsknoLM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sPremsknoLM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sPremsknoLM/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/sPremsknoLM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, I think they're heroes, no matter what they do' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sPremsknoLM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sPremsknoLM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sPremsknoLM/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Financial aid is available for international students .We do expect that the international students will notify us if they do intend to apply for financial aid at the time that they submit their admission application.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Work study is set at a maximum of 2100 dollars, so it is not a vehicle that should be used to manage the family contribution really nor is it meant for students to be sending home.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"— +,ù®0 0 h p ˜ &nbsp; ¨ ° ¸ À È Ð ä Mount Holyoke College ' 6 Is financial aid available for international students Title þÿÿÿ þÿÿÿ þÿÿÿ ! \" # þÿÿÿ% &amp; ' ( ) * + þÿÿÿýÿÿÿ.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/12.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And we do want all financial aid forms to be submitted at the same time that the admission application is submitted.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A loan would be something that has to be paid back once the student leaves school and work study would be work on campus during the academic year.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Students might also-domestic students and international students are also working on campus in the summer and they sometimes work during J term or during holiday breaks as well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/8.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'On Wednesday the major index tracking exchange traded funds edged lower.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Despite the cautious mood in the markets overall, SPDR S&amp;P Bank ETF rose modestly in early trade.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Retail earnings did very little for consumer discretionary exchange traded funds.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Retail earnings from Home Depot and Lowe's have disappointed investors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In other ETF market news, investors have turned bearish on U.S.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/8.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/tQ-CIfgj-Js/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And my group is basically doing it on natural water filters using plants to purify water, which is basically a natural way to get rid of carcinogens in the water supply for people and underdeveloped countries can get access to clean water more efficiently than  paying so much money for all the devices or just like... not having water at all.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tQ-CIfgj-Js/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tQ-CIfgj-Js/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tQ-CIfgj-Js/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This year nearly 300,000 Americans will study somewhere outside our borders and nearly 1 million students will come to the United States for a world-class education.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Even in an age when we can take a virtual trip to far-flung places just by clicking a mouse, we still want to see the world for ourselves and discover our common bonds first-hand.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's why we created the Fulbright Program in 1946. Today it is stronger than ever with thousands of scholars traveling to and from over 150 countries.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For those of you already pursuing an education abroad I'm very grateful and wish you well.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The ties of friendship and understanding your building are the most effective forms of diplomacy they truly will help shape our common future.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And to those students who have yet to study abroad I urge you to stretch your boundaries and your imaginations and set off on your own adventures.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/7.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PwC will become the first firm to offer places under the new professional services Higher Apprenticeship framework.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The two year tax Apprenticeship is based on the new, government sponsored professional services Higher Apprenticeship framework that PwC's own consulting practice has developed with employers and professional bodies, and which is expected to be formally endorsed by Government in the near future.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'By doing a formal Apprenticeship, people can take an accredited route to a highly skilled career in professional services within a nationally recognized framework.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/uacdDoBtT1k/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In developed economies the youth unemployment rate will decline in the next 5 years, from the current 17.5% to 15.6% in 2017. This decline is mainly related to the fact that increasingly young people are dropping out of the labour market, as they find it more and more difficult to find a job.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uacdDoBtT1k/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uacdDoBtT1k/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uacdDoBtT1k/0.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/uacdDoBtT1k/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Young people dropping out of the labour market are actually not counted anymore as unemployed, as they are inactive.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uacdDoBtT1k/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uacdDoBtT1k/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uacdDoBtT1k/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uacdDoBtT1k/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What they often do is staying at home, until the times get better.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uacdDoBtT1k/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uacdDoBtT1k/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uacdDoBtT1k/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/uacdDoBtT1k/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Given the circumstances, they are likely to take up informal activities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uacdDoBtT1k/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uacdDoBtT1k/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uacdDoBtT1k/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/uacdDoBtT1k/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But so far, from a statistical point of view, we are basically not counting them anymore as job seekers, because they have dropped out.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uacdDoBtT1k/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uacdDoBtT1k/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uacdDoBtT1k/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Once I learned everything that Ms' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Barber could offer, and how responsive her girls are to her and the needs of the team, it's been an incredible fit the last couple years' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" \"Behind the scenes we do so much that people don't actually know, when people realize it they're like, Wow you guys do a lot' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/10.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Whenever the team reports we're here 30 minutes prior to them, getting things ready' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They fix equipment, they do laundry, it's unlimited, unlimited jobs that we do here' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" The Rockets certified athletic trainer is Victoria Simonetti, and she also relies on the help of the managers' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"A lot of times when football practice is going on there's other home events' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So they're out at every practice, so they're kind of an extra set of eyes for me, they're great, they give me a call, so and so's down, so and so needs help' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What do you want me to do to get the process started' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/8.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We produce a huge quantity of waste every year' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And this waste we throw away for good' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/1.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What we want to do with the circular economy is to recycle waste to obtain raw materials, and also make sure that products are designed to last and can be reused and recycled, in order to have a higher value in their entire life cycle' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is clear that if we raise our recycling targets and we create the conditions for a high quality recycling system, we will obtain raw materials that instead of ending up in a landfill enter the cycle, the market' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This means that waste has a value, the waste is not a burden anymore but becomes an economic asset' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uooIiW6dEyg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If it is an economic asset, it means that we will pay more attention to it, both when we recycle at home and and also when companies begin their manufacturing process' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uooIiW6dEyg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uooIiW6dEyg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uooIiW6dEyg/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uu1FqsR7JV0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today, we're going to ask the question how do insurance companies meser, measure risk?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uu1FqsR7JV0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uu1FqsR7JV0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uu1FqsR7JV0/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/uu1FqsR7JV0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sometimes it's high, sometimes it's low based upon the odds.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/uu1FqsR7JV0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/uu1FqsR7JV0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/uu1FqsR7JV0/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PROTESTING, THE BIGGER PROBLEM IS ACTUALLY THE UNDERLYING ONE' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/0.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PEOPLE GETTING SHOT AND KILLED IS A MUCH BIGGER PROBLEM THAN SUMMARY SITTING OR STANDING' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'FOR ME AS A FOOTBALL FAN, THIS IS UP TO AN IMPROBABLE STORY' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'AT THIS POINT I CAN'T STAND COLIN KAEPERNICK AS AN ATHLETE, OR I COULDN'T' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/3.pt"], "task": "sentiment_cls", "class_label": "highly_negative"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'NOW HE HAS ALMOST SWUNG ME AND BECOME ALMOST AN AMERICAN HERO' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'THE SECOND PART IS WHY THIS IS A REALLY ADJUSTING STORY TODAY' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'IF YOU DON'T FOLLOW FOOTBALL, THE SEAHAWKS AND THE 49'ERS HATE EACH OTHER' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our recipients of those microloans, they do not use those loans efficiently.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so the idea is if you provide training, basic business training, to those loan recipients say it would, you know, it would improve their well-being.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So basically, there are many different training programs; and when you start studying the effect of those programs, you find it often the fact is actually negative like on special or something such as profitability or no effect on things such as consumption.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It seems that programs do more bad than good, which is really counterintuitive and surprising.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/4.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I developed a theoretical framework trying to explain how, you know, efficient let's say programs that's supposed to improve profit and ends up actually hurting microloan recipients and they end up with lower profit.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/vC9oWzTU71s/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what we're doing is recommending to our clients political as well as non profit as well as commercial what they should do in on line advertising.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vC9oWzTU71s/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vC9oWzTU71s/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vC9oWzTU71s/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vC9oWzTU71s/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's where both our political and our commercial and non profit clients should be thinking about going.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vC9oWzTU71s/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vC9oWzTU71s/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vC9oWzTU71s/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vHzbn_YW76s/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The greatest piece of advice I can tell anybody who goes into a pawn shop is; check your attitude at the door.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vHzbn_YW76s/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vHzbn_YW76s/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vHzbn_YW76s/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vHzbn_YW76s/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We don't like to be rude with people but if we have to we will be.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vHzbn_YW76s/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vHzbn_YW76s/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vHzbn_YW76s/3.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/vHzbn_YW76s/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have to understand that this is a business and we're in the business of making money.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vHzbn_YW76s/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vHzbn_YW76s/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vHzbn_YW76s/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[music] Jamie Gruman: I think the main strength of the program is that it can be completed in a reasonable amount of time, and you finish the program with very solid, strong research skills that allow into you to take those skills either into industry or into an academic job' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not only do you get a top-notch, research-based education, you get to build a connection with faculty that really take an interest in promoting your development' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/1.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My niche is really in organizational leadership but I work at the intersection of a couple of spheres' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One, I work a lot with social entrepreneurship, which is something that deals with corporate social responsibility and how to do good in a way that actually creates good business value' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/11.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I also deal in the field of managing organizations and managing projects, so I look at that intersection with social entrepreneurship' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And finally, I also look at high technology or information technology and how that impacts how we manage companies, how we manage information, and how we manage people' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Jamie Gruman: A lot of the work that we do is very heavily applied, and so you can take the skills that you're gaining here and use them, either for an academic career or a career in the world of practice' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ruben Burga: I've been able to go through academic conferences overseas, and also within Canada, to be able to present my research' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've also been able to participate in award-winning papers that have resulted from different aspects of my research' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/16.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My last two papers actually resulted from having participated in research that originated at the University' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/17.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A co-author and myself sat together with our advisor and created some research that really delved into conceptually, how do students learn? That related back again to some of the research I was doing towards organizational leadership' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/18.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Jamie Gruman: What I like the most about working with the PhD students is they're skilled and they're hungry' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ruben Burga: The students benefit from the interaction with the professors, and this interaction is in the hallway, it is not necessarily a formal interaction, but as you meet up with the professors you start getting a sense of what I should do in my case because they share ideas, or I share my ideas and they give me feedback' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They want to learn' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So the culture is very supportive' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The culture is very dynamic' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'People are interested when you actually publish something, or when you present something, and it's always questioning the big why are you doing this' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now through the process of doing my own research I worked a lot with specific professors and advisors, and they helped to refine my thinking about where I wanted to go' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Jamie Gruman: We've had students investigate a wide variety of issues, in the program' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/7.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We've looked at IT project management, we've had students looking at accountability in public organizations, we've had students doing research on leadership in military organizations' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of my students is currently investigating the role of psychological capital, which is hope, optimism, confidence and resilience in entrepreneurship, and does psychological capital lead to more success among entrepreneurs? Ruben Burga: My research really focuses on project management and the management controls that are used by project managers to be able to create a successful project out of their existing projects' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/9.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you so much for joining me today on our healthy version of how to do snacks right.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, the other tip: clean out the pantry from all the bad stuff.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'No matter how much healthy stuff you put in the pantry, if you don't take the bad stuff out, it's still going to tempt you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/14.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just take it out of the equation all together so it won't even be there as a temptation.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/15.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I have my yam chips, and you'll see it's a very small amount because I keep eating them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Again, the two tips that I really encourage you to invest some time in: plan and prepare, that may mean some cooking at home.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/6.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But, even if it means you are not making your own nut/trailmix, go buy some.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vo_JbAFAD68/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'G'Day I just saw Godzilla in 3D and I left the Cinema a bit disappointed but not get me wrong I am still giving this movie let me start with the good things when Godzilla is shown full screen first time and roar it really made you tremble , shake ! it is awesome, Bryan Cranston with the little screen time that he gets, it is very good!' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vo_JbAFAD68/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vo_JbAFAD68/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vo_JbAFAD68/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/vySKXq0ZOb0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now I want to talk about the opposite of that which is commonly referred to as elegant and refined.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vySKXq0ZOb0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vySKXq0ZOb0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vySKXq0ZOb0/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/vySKXq0ZOb0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ladies you are primarily going to be wearing business suits or definitely skirts, hose, high heeled shoes, but probably rarely ever slacks, unless you're wearing a pant suit.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vySKXq0ZOb0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vySKXq0ZOb0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vySKXq0ZOb0/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Before we started working with CENTORRINO Technologies we had a local firm that worked with us' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Same gentleman most of the time came' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/1.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And now everything is backed up offsite by CENTORRINO Technologies and we don't have to worry about it and I know that it is there because we have had to retrieve it before' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/10.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what we get with CENTORRINO Technologies is an overall package' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We pay a fixed fee and we get unlimited support - that's phone support, people coming down to work on our system or email support' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/12.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It means that we can look to the future as well and bring on new systems or new products and they are going to be able to service those' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We added some iPads earlier this year and they are going to be managing those for us into the future' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/14.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It just means that we can bring our technology forward without having to worry about knowing how to manage it' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/15.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We've got Mac and PCs here' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are leaning towards more of a Mac school and that's been something that has been a real bonus for us' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Having someone from CENTORRINO Technologies who understands Macs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/18.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We had a lot of trouble in the beginning to get that to happen but now that we've got someone who comes down here regularly to work on those' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/19.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was a little limiting' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It just meant they are a lot easier to run' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/20.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For teachers and students it really again means that they can most of the time be sure if our network is up because everything is working properly - that they can just run their day' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/21.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Teachers can just come to school, know that if they want to run a YouTube clip for the children first thing in the morning, that it is going to work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/22.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That if they want to connect up to their interactive whiteboard that they know that its going to work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/23.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The children when they are sent off to use the iPads or the computers know that they are going to work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/24.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's what makes teaching so much easier' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/25.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And from my perspective as an administrator, I'm also the IT person here it means that I am not running around trying to fix things, because they just work' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/26.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/27.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yes, I will recommend CENTORRINO Technologies and have in the past recommended them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/27.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/27.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/27.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I believe that they have the ability to know what the needs of our schools are' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/28.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He didn't have a knowledge of how the CEO worked and what the requirements were' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so we just found that he just couldn't service us the way we needed to' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We found out about CENTORRINO Technologies through a couple of other schools, one in Torquay who were using CENTORRINO Technologies at the time and another one up in the western area' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They were using CENTORRINO as well and had good reports back about those so we thought we'd have a chat' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What CENTORRINO Technologies have done for us is really been able to give us surety in how our system works' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Before CENTORRINO Technologies I had to go down to the server every night before I left and throw another tape into back it up and take these with me and it was often you would forget those sort of things' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was always a constant worry that it wasn't actually working' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wgca4dZnnVQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unfortunately, no one has really come up with a much better idea.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wgca4dZnnVQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wgca4dZnnVQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wgca4dZnnVQ/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wosolsrH3sM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Frankly, we see this kind of – these kinds of attacks as an act or acts of desperation by Daesh, targeting Baghdad as they are to sow fear after it's been largely forced out of Ramadi.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wosolsrH3sM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wosolsrH3sM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wosolsrH3sM/2.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/wosolsrH3sM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I also want to note the bravery of the Iraqi security forces who responded to this weekend's attacks.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wosolsrH3sM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wosolsrH3sM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wosolsrH3sM/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/wosolsrH3sM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Of course, we extend our deepest condolences to all the families and all those affected by this senseless violence, and we reaffirm our commitment to support the Iraqi people and the Government of Iraq as they work to defeat Daesh.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wosolsrH3sM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wosolsrH3sM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wosolsrH3sM/6.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/wvLEIxt-_V0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hope you had a lot of fun working with the Pirate Fleet app.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wvLEIxt-_V0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wvLEIxt-_V0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wvLEIxt-_V0/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/x-zGBp7axao/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is my first presidential inauguration that I'm watching so I think it was just a really great opportunity that Student Affairs was putting on so that the students and campus has a place to watch it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x-zGBp7axao/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x-zGBp7axao/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x-zGBp7axao/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/x-zGBp7axao/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I grew up Republican, but I think it is a big day in history today and I don't think it matters what party the president is and I think we need change, we need the economy to pick up, we need the world to be a better place and if Obama is going to be the one to do it, then I'm all for it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x-zGBp7axao/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x-zGBp7axao/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x-zGBp7axao/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/x2lOwQaAn4g/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That works your chest and your back, Lacey confirmed' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x2lOwQaAn4g/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x2lOwQaAn4g/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x2lOwQaAn4g/0.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/x2lOwQaAn4g/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'your core, firmly place your hands down on the table top and twist from side to side until you start to feel the burn before your next meeting' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x2lOwQaAn4g/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x2lOwQaAn4g/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x2lOwQaAn4g/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/x2lOwQaAn4g/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can even optimize that wait on the printing queue by standing and doing leg lifts, then going up and down on your toes to work your calves' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x2lOwQaAn4g/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x2lOwQaAn4g/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x2lOwQaAn4g/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/x2lOwQaAn4g/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'All of these exercises are jean friendly and guarantee getting in some fitness time even on work hours' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x2lOwQaAn4g/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x2lOwQaAn4g/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x2lOwQaAn4g/4.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/x2lOwQaAn4g/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is not only better for your body, but also for your mind and morale' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x2lOwQaAn4g/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x2lOwQaAn4g/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x2lOwQaAn4g/5.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As always, make sure that you take advantage of the great opportunity to create a very strong dialog with   your instructor.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/13.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm sure you will make great friends with the   fellow students just as you would on-campus.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'On behalf of the staff, faculty and administration, we   appreciate your interest in Gateway Technical College.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/2.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We know you have many choices in choosing your   college and we thank you for selecting Gateway.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/3.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are joining the over 25,000 students that participate   in one of Gateway's over 65 degree programs.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As you get a chance to search   through our web and participate in interactions with our faculty, you will find tremendous amounts of resources available to you.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/6.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As an online learning student, I also encourage you to participate when you can   in our campus activities.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/7.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are many student engagement programs that take place.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Ashlynn Whalley and I am in the new Justice, Political Philosophy and Law program or JPPL for short at McMaster' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/0.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a fantastic program centered around philosophy and a, with an obvious focus on Justice and Law &amp; law programs' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's run by a fantastic team of professors; they are always available for you' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/2.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They've got your interests at heart' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They want this program to succeed, they want you to succeed so it's, it's been a fantastic experience so far' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/4.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of the best things about it is that while Philisophy doesn't seem like it's applicable to real life situations, everything that you learn in this program, you use on a day-to-day basis' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/5.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it's great because you can use it in any kind of future endeavor' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When this jar is full or it's half-filled or three quarters filled, I take the contents from here and I put them inside a business card binder that I made.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/10.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is just a regular two-inch binder that I got from Staples.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And what I did was I got these A through Z color-coded dividers and I file all my business cards with the name of the company.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/12.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if the name of your company begins with A, I'm going to file your card in the A section.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I'm going to use these business card sheets that are again, available at Staples.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/14.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if it's a floral company, you would file the card under F for flowers.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/20.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It makes sense for me to do it by company so that's why I do it that way.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/22.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But when you are done, you have this great business card binder that is going to be really easy to just flip through and find the exact card when you need it.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/23.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your kids don't want to play with Joe Smith, the plumber's business card.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So it's time to gather all those cards that don't belong in the places where they're currently at and put them in a system that is going to be easy to put away, easy to find, and easy to grab when it's time to look for that card to contact that person that you've been meaning to contact for months.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've been a clinical aesthetician for over half a decade, and I'm going to talk to you about whether or not hemorrhoidal cream can help wrinkles.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/1.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Keeley Selvage with Keeley's Skin Solutions and that is whether or not hemorrhoidal cream will help your wrinkles.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/10.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The reason it works so well is because most have steroids in them.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/3.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This can be very dangerous for our face, and it will actually even show dark circles, and imperfections, scars, even more prevalently than they would have before.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Also when your face absorbs it, your body absorbs it and it can be dangerous for your whole body.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/7.pt"], "task": "sentiment_cls", "class_label": "negative"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'THE NUMBER OF STUDENTS -- FOREIGN EXCHANGE -- GROWS EVERY YEAR' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'LAST YEAR, IT WAS UP 10% FROM THE PREVIOUS YEAR' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/2.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WHILE THEY RECEIVE FINANCIAL SCHOLARSHIPS, MOST RESTRICT THEM' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/3.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WHAT IS THE APPEAL OF STUDYING ABROAD' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/4.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WE HAVE A STUDENT MAJORING IN ENGLISH AND BEATRICE, FIRST OF ALL, THANK YOU FOR ç' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'AND BEATRICE IS VISITING US THIS WEEK AND FRIENDS WITH MY DAUGHTER' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "highly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/8.pt"], "task": "sentiment_cls", "class_label": "highly_positive"}
{"videos": ["cmu_mosei/Raw/val/zhE_68GMJIk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1950, Sweden was already one of the world's richest countries, and back then taxes were lower in Sweden than in the United States.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zhE_68GMJIk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zhE_68GMJIk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zhE_68GMJIk/5.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zhE_68GMJIk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Only then did we start expanding the government dramatically, and you know what happened then?' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zhE_68GMJIk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zhE_68GMJIk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zhE_68GMJIk/6.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zhE_68GMJIk/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'From having been the 4th richest country in the world in 1970, 25 years later we were only the 14th richest.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zhE_68GMJIk/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zhE_68GMJIk/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zhE_68GMJIk/8.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, this is David over at A Secure Life' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/0.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today we're doing a review of Frontpoint Home Security Systems' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/1.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They are not the cheapest option on the market when it comes to monitoring, but we feel that they have a really great overall value' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/10.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you're okay with paying just a tiny bit more, but getting great customer service and a great customer experience, we think you'll really like them' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/11.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we've talked about it throughout the entire review, but honestly what sets Frontpoint apart is customer service' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/12.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So we've actually done quite a few phone calls that were mystery shopping Frontpoint - making sure that we understood how they treat their customers when it comes to tough issues or complaints or sales' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/13.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And we were really impressed by how much time they were willing to take, by how patient they were and how little pressure there was during the sales process' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/14.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was focused around answering questions instead of trying to up-sell us home automation or an extra camera' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/15.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Frontpoint uses a combination of cutting edge technology, equipment and customer service all at a great price' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/16.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a really hard combination to beat, and for the last 9 years, nobody has' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/17.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Frontpoint is actually been our #1 pick for 9 years running' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/2.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And this is primarily due to their incredibly high levels of customer service and the way that they handle their sales process - it's a lot lower pressure than some of the other companies out there' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/3.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're going to do a deep dive and go into what really sets Frontpoint apart from it's competitors and what you're going to get if you do decide to go with Frontpoint' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/4.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Frontpoint Security Systems are both 100% wireless -meaning that the sensors in your home all wirelessly communicate to your control panel - as well as 100% cellular monitoring - which means that a burglar can't cut your phone line and bypass the security system' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly negative", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/5.pt"], "task": "sentiment_cls", "class_label": "weakly_negative"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're in a very rural area you may or may not be able to get monitoring service where you live so just make sure to call and check with Frontpoint' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/6.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unlike some other companies, Frontpoint has done a really great job of being transparent with their pricing and their fees' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/7.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can see all of them on their website' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/8.pt"], "task": "sentiment_cls", "class_label": "positive"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They also offer a 30-day money-back guarantee which will allow you to test out the sensors and the system in your home' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "weakly positive", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/9.pt"], "task": "sentiment_cls", "class_label": "weakly_positive"}
{"videos": ["cmu_mosei/Raw/val/zk2jTlAtvSU/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They differ from the articles of incorporation generally in that they are not filed with the secretary of state's office in the state in which the corporation is incorporated.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zk2jTlAtvSU/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zk2jTlAtvSU/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zk2jTlAtvSU/3.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/zk2jTlAtvSU/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They also discuss how many directors there are going to be, the duration of the terms for the directors and what qualifications the corporation requires for it's board of directors.' What is the sentiment of the speaker in this video? Answer with one phrase: highly negative, negative, weakly negative, neutral, weakly positive, positive, highly positive.", "answer": "neutral", "dataset": "mosei_senti", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zk2jTlAtvSU/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zk2jTlAtvSU/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zk2jTlAtvSU/5.pt"], "task": "sentiment_cls", "class_label": "neutral"}
{"videos": ["cmu_mosei/Raw/val/-I_e4mIh0yE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's perceived that you have actually learned something, over the course of your carreer, and that you won't make the mistake twice.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-I_e4mIh0yE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-I_e4mIh0yE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-I_e4mIh0yE/3.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's only getting better from now' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-hnBHBN8p5A/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some people are thinking \"I want to be an executive\"' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-hnBHBN8p5A/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-hnBHBN8p5A/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-hnBHBN8p5A/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One finished still within buy range, another hit profit-taking zone after breaking out a little while back, so to find out what all of those are, keep an eye out for the link in the description I'll have all of the analysis for you and make sure to share your comments with us.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We always love to hear what you say, and like and share this video as well.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-qDkUB0GgYY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have more after-hours updates coming for you as well as intraday updates and ETF updates, so keep an eye out.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-qDkUB0GgYY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-qDkUB0GgYY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-qDkUB0GgYY/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-uywlfIYOS8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then from a brand point of view, we need to make sure we're driving the relevant insight.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-uywlfIYOS8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-uywlfIYOS8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-uywlfIYOS8/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/-uywlfIYOS8/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And you saw some of the leading brands out there like McDonalds, like General Mills and Coca Cola, who are doing such a great job of tapping into those insights and bringing them to life in their advertising.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/-uywlfIYOS8/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/-uywlfIYOS8/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/-uywlfIYOS8/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When what you say does not line up with what you do, they will reject it faster than you can blink' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/11.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now, here's where I'll get push back, and I hear this all of the time' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"But I don't want to shove it down my kid's throat and then they will reject it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/5.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/0y022OlZ3W0/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Based on my experience, here's what I've seen' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/0y022OlZ3W0/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/0y022OlZ3W0/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/0y022OlZ3W0/8.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/102408/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I couldn't wait til it was over, but you know if you have little boys then, you know, they probably would like this movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102408/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102408/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102408/5.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/102858/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, that's when I got this thing' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then, Thanksgiving, I watched it all again' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/15.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And then Christmas, I watched it all again' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I watched this thing three times in three months' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/17.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's saying quite a bit, guys' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/18.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/102858/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, yeah, Garfield's Halloween, or Holiday Celebrations' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/19.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And even though it is only, right now, at least, it is only, you know, July, I'm talking about holidays today, specifically, three of my all-time favorite holiday specials on one disc' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm giving this beast a four out of, (stutter) I mean, (uhh) wait, four, no' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/21.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/102858/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm talking about Garfield Holiday Celebrations' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/102858/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/102858/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/102858/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/112433/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Frankly, I I've (stutter) seen the first two so I knew the kind of you know wonderings that the characters you say undertake but after seeing the third I was horribly disappointed' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/1.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/112433/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Half the movie was not fighting was you know backstabbing and underhand dealings and you never know who was on who's team and what was going on' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/3.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/112433/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I don't know what the movie directors were thinking I guess they decided that by throwing as much fancy computer graphics as they could they would cover up the fact that there was absolutely no plot' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/112433/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/112433/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/112433/5.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/121128/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's a movie about a rat who lives in the French countryside but (umm) he dreams of becoming a famous chef' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/121128/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) But I still think that kids would enhappy it equally as well' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/10.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/121128/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) So he ends up making his way to Paris and once he's there he meets a human boy (uhh) who gets a job at a French restaurant' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/2.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/121128/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The rat is able to control the boy so that (umm) the boy's making the dishes that the rat wants him to make' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/121128/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I would recommend it to anyone' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/6.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/121128/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) A lot of the humor felt more mature than than (stutter) in previous Pixar movies' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/121128/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/121128/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/121128/9.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/125344/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Harry Potter and the Order of the Phoenix yes Harry Potter's back and I think he's forty seven in this one no no he's not that old but (stutter) he's starting to look old in the movies they're all starting to look all grown up, and (umm) I'll admit it that I'm I'm (stutter) a dork and I enhappy the Harry Potter movies not saying everybody that enhappys Harry Potter movie is necessarily a dork, but (umm) I'm an older gentleman and I enhappy the kid movies but (umm) it's a very good movie (stutter) I mean the the the (stutter) movies in general are very good they the first one was really good the second one was still pretty good, and they just went on downhill from down there, this one wasn't very good I mean I didn't think it was that good (umm) Harry's back in school yet again and I think this is his fifth year, and (umm) this time new people are taking over Hogwart the school, see I told you I'm a dork I know the names of the school, and (umm) they're trying to discredit Harry saying that Lord the the (stutter) bad guys coming back I don't know his name Valdemort, Valdemont (stutter) I know it begins with a V I know that much but they're trying to discredit him and (umm) to me it just seems I don't know maybe i'm growing up whenever the first one came out I was a little younger than I am now but (umm) I didn't enhappy this one and I'm sure kids will enhappy it, I I (stutter) mean there was a lot of magic and the acting in it was really good, and (umm) the scenes were really good the (umm) the magic scenes looked awesome, but (umm) I just didn't enhappy it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125344/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125344/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125344/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/125676/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'd probably give it two and a half stars and (umm) that's about it for this one' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/125676/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/125676/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/125676/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128059/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I was really disappointed with this movie you know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128059/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128059/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128059/1.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/128763/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is the (uhh) special edition DVD' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) So all the killings are really gruesome and (umm) it was really gross' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Didn't really like this movie, just because of all the blood and all of the (uhh) all the gross, like, sick killing scenes' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/11.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This is the (uhh) second movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There was Jeepers Creepers one, and (umm) I mean I didn't like this movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I'm not a really big fan of horror movies' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're just trying to survive (umm) I mean like anyone would do' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're definitely just trying to survive' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/8.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/128763/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's very gory' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/128763/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/128763/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/128763/9.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/130456/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/130456/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is Donnie Darko' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/130456/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's (umm) definitely a cult movie favorite' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/130456/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's, out of five stars, I would give it a five' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/130456/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It follows this boy Donnie Darko, played by (uhh) Jake Gyllenhaal' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/130456/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) He sees this this (stutter) like demented bunny who tells him when the world is going to end and Donnie just has to figure everything out' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/130456/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/130456/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/130456/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/188343/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) But (uhh) like I said it might be (uhh) good for a laugh (umm) if you really like monster movies or if you (uhh) like Japanese films' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/13.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/188343/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was (uhh) very well (uhh) reviewed on the (uhh) the movie poster (umm) and so I was (uhh) taken in to (uhh) check it out and see if it was a good as the reviewers said' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/188343/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unfortunately it was not' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/188343/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Where it's about to drop in the water and (uhh) mayhem begins' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/188343/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/188343/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/188343/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/1HK7Nea0PFo/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think now going into our fifth iteration of the game our . . . one of our big challenges is making sure we're articulating that to everybody else, make sure that they understand that there's value, hopefully, in what we're doing.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/1HK7Nea0PFo/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/1HK7Nea0PFo/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/1HK7Nea0PFo/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/216097/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The special effects aren't all that good' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/216097/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/216097/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/216097/8.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/223431/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't expect much in in (stutter) acting or anything like that, it's pretty much just classic Alien Versus Predators' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/11.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/223431/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I don't think you should go see this in theater or even pay matinee for this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/223431/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/223431/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/223431/13.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/225770/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, today I'm reviewing The Exorcism of Emily Rose (uhh) starring Laura Linney' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/0.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/225770/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Just not enough of the actual exorcism (umm) to make it worth viewing' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/225770/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I expected something more along the lines of an The (stutter) Exorcist (umm) where it actually shows the story of the girl and the priest coming in and and performing the exorcism and going through it step by step like that and that just doesn't happen in this movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/225770/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/225770/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/225770/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/236021/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Valerie and today I'm going to be reviewing the movie Fred Claus' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/236021/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, that's Fred Claus' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/11.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/236021/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Go check it out, if you want' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/12.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/236021/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He thinks the whole situation is silly' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/236021/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So he kind of (uhh) steps in one day and looks after things at the North Pole and then it turns into this big party and everything goes kind of crazy havocy and so, Santa Claus's brother doesn't really like that too much and so I don't know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/236021/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/236021/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/236021/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/237009/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is my review on the movie National Lampoon's Christmas Vacation Two' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/237009/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Eighty-three minutes long' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/237009/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), it should be rated junk' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/11.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/237009/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I think they were reaching for this one' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/237009/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm), I think since they had (umm) such a good one the first time' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/237009/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Randy Quaid xxx yeah, {laugh} there's some funny things that he does, but he did those things in the first one' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/8.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/237009/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) it's (uhh) not rated' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/237009/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/237009/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/237009/9.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/241629/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's about (uhh) a girl who's kind of proverbially always a bridesmaid never the bride, (uhh) hence the name of the movie Twenty-Seven Dresses' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/241629/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) I I (stutter) was pretty disappointed with with (stutter) it overall' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/241629/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/241629/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/241629/7.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/243646/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I wanted to do a review on the movie, The Heartbreak Kid' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/243646/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like, like (stutter) I am saying, you know, I don't know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/243646/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Yeah' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/2.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/243646/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Let me just show you a little clip first' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/243646/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/243646/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/243646/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/247318/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It just didn't do it for me though' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/12.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/247318/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was it was all in all a bad movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/13.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/247318/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) In some ways I look at this movie as (umm) an attempt, I don't know by either (stutter) the actors in the movie or the company who produced it to get back on it's feet or something it didn't really' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/247318/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It wasn't very funny' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/247318/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It wasn't very entertaining' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/247318/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/247318/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/247318/8.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/252998/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Starring Parker Posey, Josh Hamilton, (umm) Tori Spelling, Freddie Prinz Junior' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/1.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/252998/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) This was a movie about an eccentric rich family living in Massachussetts who are (umm) obsessed by the Kennedys' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/252998/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) His his (stutter) mother tries to buy her off (uhh) but it's his sister Parker Posey who is (umm) completely obscene, {laughs} or not obscene, insane and obsessed (umm) by her brother who probably most frightens us (uhh) in this movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/252998/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) The movie is billed as a dark comedy but (uhh) I didn't really find it all that funny, I found it kind of ridiculous and (uhh) maybe bizarre' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/5.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/252998/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If if (stutter) that's a good word' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/252998/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/252998/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/252998/6.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/257247/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of it's kind of bad' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/257247/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There, it just wasn't my cup of tea' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/11.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/257247/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Wasn't well executed, pretty formulaic, bad ending, wouldn't recommend watching it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/12.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/257247/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's (uhh) from the director of Independence Day and the Day After Tomorrow' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/257247/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of it's good' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/257247/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/257247/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/257247/9.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/258654/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, today I'm going to review Semi-Pro starring Will Ferrell this is a movie that's basically a vehicle for more crazy Will Ferrell zany antics (uhh) he's playing a basketball player this time and that's basically all the plot there is to it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/258654/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This has happened to a lot of the Saturday Night Live alum and (uhh) speaking of Saturday Night Live movies it's just to give you an idea, I would say of all the bad movies that have ever come out of their characters this one would probably just barely beat Ladies Man' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/258654/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is a really bad movie, it has no plot whatsoever and I really had high hopes for it because at his best Will Ferrell can be (uhh) apparently zany and funny, but spent a lot of money advertising (uhh) this movie, had multiple spots during the superbowl' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/258654/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They even put the semi-pro character into the sports illustrated swimsuit edition' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/258654/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You really couldn't get away from it and then you see the movie and really, really disappointing and it kind of think if it spent some money on writing instead of advertising it might have been a little bit better' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/258654/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/258654/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/258654/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today I'm reviewing the movie, The Happening' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) {clears throat} My problem with this movie isn't so much the plot' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/10.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Night Shyamalan created it, when he thought of it, (umm) but unfortunately, most of the time, the actors actually find themselves walking or running, rather, away from the wind' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/12.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They run away from the wind' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/13.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The problem is also that the dialogue and the acting are atrocious' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/15.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) That's probably the best word I can use to describe this movie is just atrocious' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/16.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The Village and Lady in the Water were sub-par movies compared to the three movies that he made originally, but they were at least well made films (uhh) this I'm surprise this movie actually got any kind of release, any kind of distribution' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/17.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/266791/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The dialogue is horrible' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/18.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Dialogue's never really been his strong suit, but he usually casts decent enough actors or, at least, gets the best out of the actors that he casts to make up for it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/19.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I don't know if it was teaming up with Mark Wahlberg, who has is notori notoriously (stutter) wooden actor I don't know if that hurt the film, or not, but he also did not get anything out of John Leguizamo or Zooey Deschanel, who are usually pretty fine actors themselves' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/21.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/266791/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I almost walked out of the movie, but I wanted to stay till the end' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/25.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, from there, it just went downhill and it went really over the top when (uhh) they were in some diner and a lady is looking at her iPhone, which is horrible product placement, and watching some ridiculous video about a guy in a tiger pit' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/28.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/29.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Obviously CG' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/29.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/29.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/29.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/266791/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Bad CG' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/30.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/266791/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Just terribly done' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/31.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/32.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Terribly delivered dialogue while they're watching it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/32.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/32.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/32.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/33.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's just an awful movie' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/33.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/33.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/33.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/35.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't recommend anybody ever seeing this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/35.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/35.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/35.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/266791/36.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This is the kind of movie that's gonna to be ridiculed in five years on DVD by drunken Frat boys because it's just that awful' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/36.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/36.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/36.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/266791/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And the not so good movies The Village and Lady in the Water' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/266791/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) There are theories that are thrown about and the big theory is pretty silly' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/266791/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/266791/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/266791/9.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/270254/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey everybody, this is Tom and today I'm going to be reviewing the movie Hancock' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/270254/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As always, bam, movie ticket, right there' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/270254/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And eventually he gets himself into trouble where he (stutter) he ends up saving a public relations guy and he tries to build up his image to get people to like him' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/10.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yes' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/13.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I think I kinda want to do the rest of this review doing nothing but three-sixties but that would drive you guys nuts, cause it drove me nuts' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/15.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/270254/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Maybe I was the only one who noticed, who knows' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/16.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It it (stutter) was funny at times, but, you know, (stutter) it wasn't good enough for me' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/17.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I I (stutter) didn't enhappy it, I I (stutter) just kind of sat there \"Hmm' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/19.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/270254/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Why am I spending my money watching this?\" {sigh} I think I was more sad that I spent the money to watch this but (umm) otherwise it is funny enough to watch it, but not funny enough to watch it in theaters' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/22.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/270254/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(stutter) Don't know, it's more up to you' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/24.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/270254/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is a Will Smith attempt at making a superhero movie in a summer of really good superhero movies' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/4.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Okay, as you can tell I'm doing this a little bit past the point when Hancock came out, but you see where I'm going with this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/6.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/270254/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hancock is not good' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/270254/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/270254/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/270254/7.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/272624/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) In this movie they actually go to China and that's the whole dragon thing and that's why Jet Li is in it, in case you were wondering' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/18.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/272624/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) As as (stutter) popcorn entertainment it doesn't really (uhh) (uhh) fail necessarily, but it doesn't do its job as great as say even the first Mummy' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/272624/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/272624/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/272624/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/273539/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) xxx seen this with a few of my friends and I was much more soft having done so (umm) this film has little substance' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/273539/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It doesn't really work' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/273539/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That I think worked with the film (umm) but originality wise, this movie is nothing that hasn't been made before It's just kinda sleezy (umm) waste of time completes your mind type of thing' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/273539/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/273539/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/273539/9.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/290546/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This is a rated R movie on DVD, it's just recently released on DVD and there aren't any well known (uhh) actors in this movie, a lot of no names' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/1.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/290546/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) Apparently her mother tries to (uhh) kill her when she's younger and (umm) it really haunts her in terms of psychologically' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/290546/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/290546/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/290546/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The pepper spray incident was one that I will deeply regret for the rest of my life.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is unthinkable to believe that we would ever try to rewrite or erase history.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/13.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is why I have always worked hard to improve opportunities for women and other under-represented groups.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is why I have worked tirelessly for everyone to have a chance at a free or affordable education to transform their lives.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2S00zYaVrtc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thanks to many tough decisions by our faculty, students and staff, we came out of this crisis financially stronger.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2S00zYaVrtc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2S00zYaVrtc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2S00zYaVrtc/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Xenca was founded in 2012 by a team of experienced individuals with a thirty year track record of working together successfully in the cosmetics and healthcare industry' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their vision was to create a franchise consisting of a team of Associates who all share the same passion for helping people look and feel great' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now Xenca has hundreds of dedicated Associates who all love selling our products, that all tried and tested to really work' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/2Xt31_d0XEE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The beauty of being an Associate of Xenca is that when you're selling our products you know that they will really help people live better healthier life' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/2Xt31_d0XEE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/2Xt31_d0XEE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/2Xt31_d0XEE/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/31474/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, I'm Matthew and I'm here to give you my review on this DVD movie called The Feeding' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It came out in two thousand six and it was directed by Paul Moore' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The acting was horrible in it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/10.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Almost like they were reading cue cards' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/11.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it also had a person in it who kept shooting the wrong, missing the werewolf when it shot at it and (stutter) shooting the college kids' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/13.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This movie, how it got made I don't know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/15.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'How it got released on DVD I don't know, but it was quite comical to watch and on a scale of one to ten I would probably give it a one' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/16.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Besides that I can't tell you the rest of the cast, it really has a bunch of nobodies in it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/2.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The storyline is a bunch of college students go camping in the woods and there is a werewolf which is chasing them' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'How it got made I don't know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/5.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But almost to a point that was very funny' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/7.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was shot on a very low budget' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/8.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/31474/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was shot really kind of grainy' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/31474/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/31474/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/31474/9.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/32681/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm (uhh) reviewing the movie called (uhh) the Epic movie, which is currently in theaters and (umm) you know I've seen commercials on TV and (uhh) it's basically a type of movie like Scary Movie, like the series where they make spoofs of everything, and (uhh) I've seen it on TV and (uhh) it looked (uhh) pretty funny from the (stutter) from the previews that I saw' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/32681/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I saw that over the weekend, did did (stutter) good in the box office' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/32681/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) The only time I did laugh was at the the (stutter) pretty dirty stuff which they usually don't put in movies but, I mean that was pretty funny to me' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/32681/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/32681/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/32681/5.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/33170/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a lot of toilet humor and cheap laughs, and if you are really really really desperate for that kind of a comedy, I highly recommend this movie for you' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/33170/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) It's, it's (stutter) got a pretty, pretty (uhh) low rating (umm) right now, but it's doing very well surprisingly, in the box office' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/33170/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/33170/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/33170/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When Rob Talbert, the previous host, says it got out of hand it got out of hand.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's also sad that in the final episode, Chris Lockey didn't even show up; [he] probably didn't feel good about it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/14.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like I said, we've all lost a series now, so I'll have to direct my video game retrospective...fix somewhere else.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/15.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I guess this is a good time to mention that there's a person called the Nostalgic Gamer.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/16.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Flawed, yes, but he would've gotten better if we had given him a chance.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But, we never really did, and instead of leaving good, constructive criticism most of us just decided to leave complaints.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/8.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3MFNIag0wNE/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And now, because of that, Machinima got intimidated, and decided to shut down the show entirely: costing us a good quality series and Chris Lockey a job.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3MFNIag0wNE/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3MFNIag0wNE/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3MFNIag0wNE/9.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/3V2qm0rw920/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The course offers the same rigorous content that students find in traditional Smith classrooms.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3V2qm0rw920/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3V2qm0rw920/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3V2qm0rw920/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/3j94B0pzSVs/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As the only candidate with a military and police psychology background, I am uniquely qualified in these areas.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/3j94B0pzSVs/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/3j94B0pzSVs/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/3j94B0pzSVs/15.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Many other universities out there have entrepreneurship minors or tracks or concentrations but it's within a school within business administration and is not an entrepreneurship degree itself and so that's something else that really differentiates us.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We have a bachelor's that's completely entrepreneurship based and master's completely entrepreneurship based.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We want to make sure that when students come through the Entrepreneurship Program whether it's the bachelor's and master's that we don't graduate a student that just has the degree in hand, but we graduate an entrepreneur, and that they can continue on with their venture in that we've helped them to succeed with the dreams that they have.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/22.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While taking my degree I have lived most of the time Nigeria, Africa.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/4dV3slGSc60/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I barely took three courses before I had to go back home as my job demanded, and so every other course since then has been from Nigeria.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/4dV3slGSc60/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/4dV3slGSc60/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/4dV3slGSc60/5.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/50103/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) I really couldn't watch the whole show, but basically it's about (uhh) the blood orchid is a rare flower and it holds the secret to eternal life and they start to (uhh), you know they go into the jungles to find, to hunt for it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/50103/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And of course they, the (uhh) stories about an (stutter) anaconda and so you they find this giant anaconda that (umm) was in the movie and I couldn't even stand to look at it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/2.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/50103/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So (uhh) I didn't watch the whole show but if you are afraid of snakes or anything you'd probably have your eyes closed the whole movie so I I (stutter) didn't like it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/50103/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The special features are deleted scenes, previews, and (uhh), and the making of the feature so' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/6.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/50103/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Those are are the actors' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/50103/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/50103/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/50103/8.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I want to thank you all again for your leadership and I look forward to working with all of you in the months and years ahead to inspire our young people to reach higher and fulfill their boundless promise.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5B0PQx3Ep3k/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5B0PQx3Ep3k/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5B0PQx3Ep3k/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/5O1W39o56gg/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Larry, Moe and Curly did a great study in 1997 about involving the community' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5O1W39o56gg/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5O1W39o56gg/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5O1W39o56gg/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As I said earlier, just to follow on' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/5i6AgQSjXO4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a great delight to see so many of you here today from five participating schools' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5i6AgQSjXO4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5i6AgQSjXO4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5i6AgQSjXO4/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We're looking at dozens, if not several dozens, of casualties in this strike on what was clear that was a medical facility.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/5kaCGzjYukM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So once again, we call on the regime to cease these absolutely senseless attacks, which are, of course, violations of the cessation of hostilities.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/5kaCGzjYukM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/5kaCGzjYukM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/5kaCGzjYukM/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So it's a matter of finding the right fit for the right individual.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6KvG5VbLalY/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And sometimes you want to branch out and reach the active seeker plus the general consumer who may not necessarily think they have an issue, but have had a few red flags raised over time.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6KvG5VbLalY/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6KvG5VbLalY/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6KvG5VbLalY/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[Annison] \"It's the first time in history that regular people like you and I can actually invest in film and television and content projects.\" [Scanlan] \"We love Hollywood, we love pop culture, this is why we're doing this.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6ZA8I83x-oY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[Annison] \"If there's some creator on Youtube and you're like 'Oh my God, this guy needs to have his own series' or something like that, that's what we want to hear.\" [Scanlan] \"This is about opening the gates to Hollywood and bringing the fans into the inner circle... it's a win-win across the board.\" For NewsBeat Social, I'm Cambrie Caldwell.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6ZA8I83x-oY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6ZA8I83x-oY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6ZA8I83x-oY/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6_ZT8beQXq8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I really like these because it's basically a two-in-one on the razor.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6_ZT8beQXq8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6_ZT8beQXq8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6_ZT8beQXq8/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6hFiTU77Sm0/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a learning process, each college is different in some ways, one of the things I did is I contacted a financial aid officer at the school to learn a little bit more about the process, and so that's how I worked it out.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6hFiTU77Sm0/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6hFiTU77Sm0/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6hFiTU77Sm0/6.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The former all-time high came in September of 2016 when 20 proposals had passed' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/6uPGcKTpC4I/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And finally, in Social Happenings, there are three new \"What is Dash' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/6uPGcKTpC4I/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/6uPGcKTpC4I/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/6uPGcKTpC4I/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/70280/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So he starts watching out his window, watching people for entertainment until he sees (uhh) something that basically (uhh) horrifies him' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/2.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/70280/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You know, Jimmy Stewart relies on the people around him and his girlfriend to kind of investigate and figure out what was going on' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/70280/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/70280/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/70280/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So come on in and we can help you make sure your needs are taken care of.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/75RGHaxmUK8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As an Enrolled Agent we can help you with your individual tax preparation and business tax preparation needs.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/75RGHaxmUK8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/75RGHaxmUK8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/75RGHaxmUK8/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/76PsKs4kPXE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Or report says clearly that was fantastic, but what next' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/76PsKs4kPXE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/76PsKs4kPXE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/76PsKs4kPXE/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Adam and I'm studying Statistics,  I'm in my first year at Kingston University.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I also have an eye condition,  I would've thought that it might be a boundary to my education,  although there's a wide range of support available,  which allows me to access lectures and slides which I can print out and take with me lectures,  as sometimes even with my contact lenses in, I struggle to see what's actually written,  in the lectures.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/7_K3F-lAv1k/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Anyway if you've got any questions about anything related  to Statistics, Maths or anything about student life at Kingston,  feel free to ask me and I will try my best to answer.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/7_K3F-lAv1k/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/7_K3F-lAv1k/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/7_K3F-lAv1k/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80566/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I I (stutter) mean in the original Star Wars, people actually acted it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80566/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It you can name these movies that are historically you know referenced and you know everpresent in our society and Star Wars is one of them and this does it justice' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80566/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80566/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80566/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Pretty, pretty good' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's (uhh) in the, he's in a couple episodes' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I like to just sit around, when I can get it to okay, maybe this one doesn't work, but that's not the point' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/17.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Season four Curb Your Enthusiasm' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He had five in total, so far' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hopefully he comes back for six' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's my fingers being crossed' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) Ten episodes this whole, actually eleven because the tenth episode is pretty much two episodes of it together and it's like an hour' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/80855/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) This whole season is about him {clears throat} joining the (uhh) cast of (uhh) The Producers, featuring Mel Brooks' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/80855/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/80855/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/80855/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/830KzUc6CbU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the director is very involved, intimately involved with the casting.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/830KzUc6CbU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/830KzUc6CbU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/830KzUc6CbU/2.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/84140/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey ExpoTV, I'm Dea, and I generally love sort of these bad teen comedy sort of movies' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/84140/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One that I didn't love was Drive Me Crazy (umm) this is a movie with Melissa Joan Hart, where her character, she's trying to (uhh) she's trying to like, get the popular basketball guy or whatever to ask her out' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/2.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/84140/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So they turn to each other' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/84140/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/84140/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/84140/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/89835/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'At the same time, Jackie Chan is known for his martial arts special effects action flicks' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/89835/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) In this the, (uhh) Chris Tucker plays a policeman that goes to Hong Kong with his, (uhh) to meet up with his friend that he met in the first movie that's played by Jackie Chan, and together they uncover a crime ring, beat the crap out of a whole bunch of people, and generally just do really dumb things' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/89835/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) {clears throat} The acting in this one is not really acting so much as one person fights and beats the crap out of others, (umm) the other star of the movie makes loud-mouth, (uhh) off-color remarks through the entire thing' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/4.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/89835/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(umm) It's supposed to be hilariously funny, it's unfortunately not' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/89835/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/89835/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/89835/5.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/96642/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'xxx I am reviewing today is the movie Team America World Police, specifically this is the censored and unrated version' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/96642/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '(uhh) They were the mind behind South Park, a very popular television show' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/96642/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/96642/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/96642/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/99501/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I think you could have done a little bit more with this movie, with the subject matter' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/99501/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/99501/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/99501/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe you're going to give a speech to the Ladies Luncheon and you've got this really funny story to that you're going to tell.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/9QI-9w_VdB4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When you get there you discover that children were allowed to come.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/9QI-9w_VdB4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/9QI-9w_VdB4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/9QI-9w_VdB4/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Arh2TKRi_mg/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Rule number four, don't try this with a bad product or service.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Arh2TKRi_mg/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Arh2TKRi_mg/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Arh2TKRi_mg/28.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/BSKAHXFYF_I/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But did you know that businesses also have an unofficial organization chart?' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/BSKAHXFYF_I/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/BSKAHXFYF_I/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/BSKAHXFYF_I/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'fundamentally changed the way we've always done things' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Baz0VVQ-E9E/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Baz0VVQ-E9E/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Baz0VVQ-E9E/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/C864zaWmEd0/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so it's that fine line, and consumers are smarter than ever today.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/C864zaWmEd0/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/C864zaWmEd0/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/C864zaWmEd0/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Melvin Hunter, I'm a senior at NAU School of Forestry with an emphasis in Fire Ecology.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't know if it's just the forestry world, but I've really and enhappyed it and am comfortable here at the school of forestry.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/18.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Help the landscape either progresses in this shift or somehow mimic a historical regime.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/CPjbogfLHR4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While a student at the NAU School of Forestry I heard about the Hooper Sustainability Award which is a grant for either research study or community sustainability.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/CPjbogfLHR4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/CPjbogfLHR4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/CPjbogfLHR4/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For more information please visit the company's website www.SantaCruzSilver.com, call Neil MacRae at 604-569-1609 or email info@santacruzsilver.com.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/13.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For more information about Jennings Capital or to obtain a copy of their research report, contact your nearest Jennings Capital office.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their branches are listed on their website at www.jenningscapital.com.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/15.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm Samantha Deutscher for InvestmentPitch.com For more video news, and to view our disclaimer, be sure to visit our website www.investmentpitch.com.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This video is for information purposes only and it is not a recommendation to buy or sell any securities.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/17.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The company, which is focused in Mexico, has the producing Rosario project, two advanced-stage projects, the San Filipe and Gavilanes, and an early-stage exploration project, El Gachi.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/2.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Drilling on the Transversales vein, at its San Felipe Project in Sonora State, confirmed the continuity of a new vein both along strike and to depth.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DdUJojoFU_c/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Arturo Préstamo Elizondo, President and CEO stated, \"The confirmation that the surface outcroppings of the Transversales vein appear well mineralized along strike and to depth indicate a highly mineralized system.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DdUJojoFU_c/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DdUJojoFU_c/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DdUJojoFU_c/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DlbYiwOnTyk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I highly recommend Alan's course and he's very helpful and he answer all your queries.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DlbYiwOnTyk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DlbYiwOnTyk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DlbYiwOnTyk/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Please note that the cars remain safe to drive and owners do not need to take any actions.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/DpZGnuj-BA8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once again, we are very sorry and to show how sorry we are, up next Super Junior with the song sorry sorry.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/DpZGnuj-BA8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/DpZGnuj-BA8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/DpZGnuj-BA8/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Danielle Giacoponello with Bonagora and I have 3 tips for professional buyers  visiting the NY NOW market this week.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So Handmade opens on Saturday  and closes on Tuesday, but Home, Gift and New  all open on Sunday and close on Wednesday.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The NY NOW website also offers a  comprehensive exhibitors search, so you can map out which vendors  you plan to visit in advance.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/E8MuzHUhUHk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A helpful hint is that if you are  looking for a booth number on the fly, you can download the NY NOW  mobile app when you get to the show.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/E8MuzHUhUHk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/E8MuzHUhUHk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/E8MuzHUhUHk/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/EEjCkc82oyk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of people who come to Las Vegas have never had any criminal problems in their life before.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EEjCkc82oyk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EEjCkc82oyk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EEjCkc82oyk/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'No country on earth would remain passive in the face of hundreds of rockets fired on its cities and Israel is no exception.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I appreciated their expressions of strong support for our right and our duty to defend ourselves, and this is what we will continue to do' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/10.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/ET1cU5_A2YM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hamas is thus committing a double war crime: It targets Israeli civilians, while hiding behind Palestinian civilians.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ET1cU5_A2YM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ET1cU5_A2YM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ET1cU5_A2YM/6.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I really frown upon going out and spending a large amount of money on the biggest and the best new equipment to start a business that you've never done before.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't know, I'm just thinking off the top of my head, let's say it's kids dancing.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/19.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I mean, I'm trying to kind of make it a little bit comical, but to be really honest with you, it really gets to be that way sometimes for some photographers.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/EmmuWoCUgXs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Where as they started out doing something they love and ended up actually hating it and just doing it for money, and in the end, I think sometimes that really shows.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/EmmuWoCUgXs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/EmmuWoCUgXs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/EmmuWoCUgXs/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'like what should be the determining factor in whether or not someone is or is not my friend?' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/10.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because apparently not being friends with Craig because he's voting for people who are running their entire campaigns off the promises of committing war crimes is too superficial of a reason for you.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/12.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But the idea that there is absolutely no legitimate reason for someone like me to not be friends with someone who is voting for people like Donald Trump or Ted Cruz is really disconnected from the way that the world actually works.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/2.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because my family's not rich enough for them to care about.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/5.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So yeah, sorry for me not wanting to be around people who think things like that.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/6.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/Es9MkKsMsjU/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just- I really hate, that the people who say this act as if like political beliefs is like the dumbest, most superficial thing to stop being friends with someone over.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Es9MkKsMsjU/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Es9MkKsMsjU/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Es9MkKsMsjU/7.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'More and more we have to have transparency, collaboration and the lessons learned from the crisis help us to understand that the real next step after the crisis will be a much more committed economy to ethics and values that can support trust.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Ezn3p5FWF_U/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Ezn3p5FWF_U/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Ezn3p5FWF_U/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/F1U26PLiXjM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So B is essential in order to get going, but C is much more profound, and that's the amazing thing about resesarch' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F1U26PLiXjM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F1U26PLiXjM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F1U26PLiXjM/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/F4yFRROWtdE/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The PwC and HfS Research report includes comprehensive analysis and research based on interviews and data collected from over 400 HR practitioners and over 350 global business executives.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F4yFRROWtdE/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F4yFRROWtdE/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F4yFRROWtdE/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/F4yFRROWtdE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Among key findings, the study shows global expansion and changing workforce characteristics have elevated the importance of recruiting, talent management, and performance management in the workplace.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F4yFRROWtdE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F4yFRROWtdE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F4yFRROWtdE/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You have been invited to a special event that includes an invitation, so let's take a look at how should we respond to it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am Hazely Lopez from Hazely Academy of Refinement and Modeling.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/F6JV-K840EY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You first want to start by deciding whether if you're going to attend or not attend to.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/F6JV-K840EY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/F6JV-K840EY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/F6JV-K840EY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A lot of human drama happens that would not happen in a grownup life where there's no legal obligation to show up anywhere' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I also think that being a teenager is a very fascinating time of a person's life' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/11.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Every single person in their teenage years in America is separating from their family of origin at least a little bit, is navigating money and transportation and changing body and increased independence' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's true no matter what your economic or social situation is, no matter what your background is, small town, big town, countryside' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your body's changing, your relationship to your family of origin is changing, and a lot of other things are changing too' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This is way more exciting than middle age' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/15.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Right? This is the meat of becoming a person' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after my sophomore year I transferred to a different school, and I didn't change anything about myself' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just showed up at the new school, and all of a sudden I was really popular, and I had boyfriends and I went to dances and I was on the prom committee and I wrote for the paper' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It was a whole different life because nobody knew I was supposed to be a loser' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I don't think that very many people get that chance' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, I think that has really helped me in being able to write characters with, you know, a variety of high school experiences' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/FB_b1dm0SRY/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And high school is a fascinating setting, especially boarding school or summer camp where you really are stuck there' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/FB_b1dm0SRY/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/FB_b1dm0SRY/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/FB_b1dm0SRY/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ironically is mostly targets [muslim] women' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/Fy0Uid9afM8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Basically in France we have this idea that race doesn't exist' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Fy0Uid9afM8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Fy0Uid9afM8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Fy0Uid9afM8/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Gz2qsCqWNUY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But if you're going to be using something from over-the-counter, which is of course less expensive, then really the only one that's on the market that's very popular right now is the crest whitening strip.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Gz2qsCqWNUY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Gz2qsCqWNUY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Gz2qsCqWNUY/2.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'going to head back to my room and start watching some YouTube videos' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/H1DpVwktfDQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's a lot of time considering once I get deeper into the school year, I'll have a lot more homework and a lot less time watching YouTube videos' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H1DpVwktfDQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H1DpVwktfDQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H1DpVwktfDQ/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/H9mSft9YGuk/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you do find yourself in a persistent cough though, definitely consult a physician.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H9mSft9YGuk/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H9mSft9YGuk/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H9mSft9YGuk/11.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/H9mSft9YGuk/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You do not want to look at it as a persistent cough though which you may want to see a doctor for.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/H9mSft9YGuk/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/H9mSft9YGuk/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/H9mSft9YGuk/7.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'may vary by species, some studies have shown emotions are perceived as more prominently expressed on the right side of a person's face' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, as you might guess, animals detecting different human facial expressions isn't something new… According to research, other animals like dogs and pigeonscan distinguish between faces and expressions' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Researchers at the University of Iowa, found that pigeons can see similarities among human faces when it comes to identity and emotion' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Essentially, the pigeons could tell when the photographs they were shown were of the same person and when the emotions of different people were similar' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, the research on dogs is particularly robust' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In one study, researchers at Azabu University, found dogs could learn to pick out photographs of smiling human faces from those with blank expressions' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/HGicRLwgtkM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And researchers from Kyoto University showed that dogs can match their owner's face to their owner's voice' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/HGicRLwgtkM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/HGicRLwgtkM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/HGicRLwgtkM/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It could be that you don't have reminders, or you're so caught in fulfilling orders, and giving service, and providing value that you're forgetting to take the time out to work on your business as well.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/16.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And if that's the case then we need you to carve out some time every single week to move you forward.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/17.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I am recording this at the end of the first quarter this year, and I'm curious.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/2.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/36.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then, we need that crystal laser like focus on the actions that are going to get you there.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/36.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/36.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/36.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/IM6HW1HwHhM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Maybe ones that are even a little stretch beyond those that you had already set.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IM6HW1HwHhM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IM6HW1HwHhM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IM6HW1HwHhM/6.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/IUmxJNs2zaY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'These rivers are typical of many rivers in that their headwaters are located in mountainous areas—the Rocky Mountains and the Alps in these particular cases.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/IUmxJNs2zaY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/IUmxJNs2zaY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/IUmxJNs2zaY/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When we initially launched the system we decided that we were going to our BIS team and find all of our users that have already been logged on customers to our Internet site, and take those user names and push them into the Widen system and then market to those specific users, letting them know what kind of new system we were creating, what were the advantages of it, and push that out to them' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We did a full back cover spread on our very first catalog when we launched the marketing toolbox, identifying what it was, how easy it was to use, and we came up with a quick little slogan to use to try to get them to understand that it was fast, easy and simple, which was basically our slogan that we used' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We gave that roughly about a couple months to see how that settled in' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Then we followed up with an email blast to identify that this new system was here and what were the advantages of using the system' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JAnRCQ9A0vI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JAnRCQ9A0vI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JAnRCQ9A0vI/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/JOK1SSmPtFw/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is Monday, September 4, and it is Labor Day! I hope you are able to enhappy this beautiful day outside at the lake or a golf course or somewhere, but I also know that some of you may be using this day to get ahead' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JOK1SSmPtFw/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JOK1SSmPtFw/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JOK1SSmPtFw/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some guys, if you are a guy and you're watching, tell me' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/JPT38CA3sGI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Why do you tend to show less emotion' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/JPT38CA3sGI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/JPT38CA3sGI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/JPT38CA3sGI/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/KB73TD4xQ8Y/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PwC believes that disruptive breakthroughs in mobile have resulted, in part, from the continuous progress of seven enabling components that underlie the power of the mobile device to sense, analyze, store and connect information.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KB73TD4xQ8Y/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KB73TD4xQ8Y/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KB73TD4xQ8Y/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Deloitte is starting to become particularly concerned about doing business in China.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/KpMCvUyQCXg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Last year, the Big Four auditing firms discovered that a number of financial irregularities regarding a series of U.S.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KpMCvUyQCXg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KpMCvUyQCXg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KpMCvUyQCXg/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/KqFarHUGjSc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Dr. Fassnacht's lecture provided an overview of snow and its influence on hydrology.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/KqFarHUGjSc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/KqFarHUGjSc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/KqFarHUGjSc/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Unfortunately, I don't remember everything, and I'm sure a lot   of my literacy development happened when I was born... before I went to school, which my mind didn't retain.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/L1eFHRQGFeg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I know that with a deaf mother,  who was literate... she was able to provide me with strategies and information that I needed to learn.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/L1eFHRQGFeg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/L1eFHRQGFeg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/L1eFHRQGFeg/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so as we look at Teespring, the people who do really well on our platform are people who've been able to build a brand with our buyers on Teespring.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MCsvw5-7lVE/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And really invest in sort of answering any questions that your customers have.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MCsvw5-7lVE/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MCsvw5-7lVE/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MCsvw5-7lVE/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So, thirteen years later, her I am and I'm happy to share with you today all of the insights I have learned in my experience.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MD6Tq_4VlGc/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MD6Tq_4VlGc/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, we all have to start somewhere, and whether you're financially flawed or financially fortunate, here's some no brainers about managing your finances without paying unnecessary fees and expenses.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MD6Tq_4VlGc/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MD6Tq_4VlGc/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MD6Tq_4VlGc/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, so what is fearless financial mastery? Well, it's really about leadership' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's about the courage to be honest about where I'm at who am I and who am I becoming in the process' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And as a result my finances are well, and I can make really great decisions about what's important to my life, my lifestyle and my legacy' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I'm Audrey Godwin I was a CPA for 20 years and helped lots of business owners make really great tax decisions about what's important about not paying taxes' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'because they just figured that's the way it's supposed to be' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And in all honesty, they really need to step into the CEO role and really look at how their business is really affecting their life' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Because really when it comes down to it, your business is the only asset you can control so that it funds everything that the business needs you can serve your clients well and you can get the compensation and the peace of mind knowing that this business is everything you ever dreamed of and its funding the life you want to live' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So fearless financial mastery is a blog where you're going to get insights, tools and strategies about how to be a leader of your own life, how to manage the cash flow and direct it in the place you want it to go how to invest in yourself, your team and your customers in such a way of service and contribution that you figured why didn't I do this sooner' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/MoQmPA7Q07Q/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/MoQmPA7Q07Q/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/MoQmPA7Q07Q/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But I know what my daughter is capable of' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/N5xfBtD6rLY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I know this planet is safer because she's defending it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/N5xfBtD6rLY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/N5xfBtD6rLY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/N5xfBtD6rLY/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/NoZsdSGnNpI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you're wearing fancy shoes, know how they feel, if you're a woman, and you have high heels, make sure you rehearse with your high heels on.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NoZsdSGnNpI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NoZsdSGnNpI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NoZsdSGnNpI/7.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/Nrurc5sMUOE/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Exposition is the who, what, where, when, and how of a play, and of the characters in the play.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Nrurc5sMUOE/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Nrurc5sMUOE/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Nrurc5sMUOE/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Chinese government has made into the infrastructure in China has helped also increase growth by 30% or- which is excellent.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/NzvNW7vP-Co/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I know their dollar is finding lower pressure at the moment same as-- situation so let's pray to pass in the world economy and I think we can look forward to better times.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/NzvNW7vP-Co/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/NzvNW7vP-Co/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/NzvNW7vP-Co/7.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So there you have it guys' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Drop a like on this video if you enhappyed it' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/OrYBtyO0aPI/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you so much, as always guys, for watching' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/OrYBtyO0aPI/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/OrYBtyO0aPI/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/OrYBtyO0aPI/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PORCNDRKtko/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So I'd highly recommend that for those individuals who need time to understand all the different nuances of the different college options that are out there, and also trying to find the best financial aid awards, it's always good...sit down with a professional and work with someone who has these expertise.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PORCNDRKtko/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PORCNDRKtko/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PORCNDRKtko/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'George Hotz Gives away data to Build your own Autonomous Driving Mod George Hotz who was the first person to unlock the iPhone in 2007 when he was 17, open sources his dataset of 7' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '25 hours of highway driving saying when he started there was no good source of data to play with using machine learning for autonomous driving, so he's making it easier for everyone else' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The data is 6 months behind where he is now with his startup company comma' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We make sure we keep the company alive to open source more stuff\" George says the key to staying ahead is to Work it harder, make it better, do it faster, makes us stronger, more than ever, hour after our work is never over' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Is it safe for me to tinker with an autonomous vehicle modification? Yes with EXTREME caution' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PboaYD5hlG8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's a scary thought, if a company like Tesla who's at the forefront of autonomous driving gets someone killed why would we ever want someone with a hacked together autonomous vehicle modification on the road? Well most people who understand how to piece together their own self driving car are smart enough not to do something stupid enough to seriously harm themselves or others' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PboaYD5hlG8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PboaYD5hlG8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PboaYD5hlG8/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The name my project is Triangle Dance Marathon.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'All and all we raise a $145,000 for the hospitals.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We make cards for the kids and it was a really good time.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The club that I'm part of that organize that has about currently 40 some students and then last year we had 260-something come out to the dance.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We encourage other people to volunteer by doing little fundraisers and pep rallies for Dance Marathon.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/PyQrAYl1bFs/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Like every year have a huge pep rally at our school where we get the whole school in the gym and we give information about the dance marathon.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/PyQrAYl1bFs/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/PyQrAYl1bFs/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/PyQrAYl1bFs/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm here today to talk a little bit about writing a sales plan, and it was an interesting experience for me, attacking a sales plan.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/QpchvHpGFc8/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Sales planning can be very important for you, especially if you're looking for outside financing of your business.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/QpchvHpGFc8/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/QpchvHpGFc8/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/QpchvHpGFc8/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We try very hard to have a diverse faculty, a range of ages in our faculty from young to...to fairly elderly.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/R7IkQVUuLew/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But also, um, a range of nations that people come from a range of ethnicities and a range of views that people have.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/R7IkQVUuLew/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/R7IkQVUuLew/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/R7IkQVUuLew/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For example, if you were to get on the Clark County recorders website and you want to search recorded documents associated with a certain parcel number, or were you to get on a Clark County assessor's site or the Clark County District Court website and you wanted to search different cases, none of that is indexed' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Yet, there's nothing wrong with searching for that information' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RArhIHk4Qs4/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In and of itself, searching this information, and looking at information that is not indexed is not illegal' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RArhIHk4Qs4/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RArhIHk4Qs4/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RArhIHk4Qs4/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RrGpzInAwCg/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Georgetown Institute for Consumer Research, Sponsored by KPMG, has been created.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RrGpzInAwCg/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RrGpzInAwCg/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RrGpzInAwCg/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RrGpzInAwCg/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The institute will focus on developing innovative, ground-breaking consumer research to illuminate the challenges and opportunities of understanding and marketing to technologically empowered consumers.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RrGpzInAwCg/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RrGpzInAwCg/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RrGpzInAwCg/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'CINDY DYER: My name is Cindy Dyer, and I am the Senior Director for Human Rights at Vital Voices Global Partnership.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Vital Voices is co-sponsoring this event, The Courage to Lead, with The Eleanor Roosevelt Project at George Washington University, and it has been such an amazing experience, not only to plan the event, but to attend the event.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The women that are here, not only who are speaking on the panel, but the ones who are participating in the audience, are absolutely so inspiring.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/RzOFxDk26p0/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They make me want to get up every day and go to work, and I feel so fortunate to have had this opportunity to spend time with them and to get to know them and to work with them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/RzOFxDk26p0/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/RzOFxDk26p0/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/RzOFxDk26p0/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/SHa756SwGJQ/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Madam speaker, warden, ladies and gentlemen, we have conferred' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SHa756SwGJQ/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SHa756SwGJQ/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SHa756SwGJQ/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/SO53x_pbou8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm devoted to ensuring that we provide quality services, that we have staff that are competent, and not only competent, but measurably competent, as well as assessing and treating patients using best practices, so that we have great outcomes.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/SO53x_pbou8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/SO53x_pbou8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/SO53x_pbou8/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/TWszOxkOV0w/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think I reflect the outrage of the ordinary citizen who feels very strongly about the notion that we were told that CEOs require those kinds of pay packages because they are tied to performance.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TWszOxkOV0w/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TWszOxkOV0w/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TWszOxkOV0w/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that is what we must do, cling to the Hand of Jesus with child like faith knowing that nothing is impossible for Him.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He's reaching His hand out to you and to me and I'm going to cling to His Hand.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TXCXFYIc3Yo/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TXCXFYIc3Yo/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TXCXFYIc3Yo/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello everyone, my name is Valerie Jarrett,  and I'm one of the three co-chairs  of President-elect Obama's Transition committee.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The other two chairs are John Podesta, who was formerly Chief of Staff for President Clinton and Pete Rouse, who was formerly Chief of Staff Senator Obama when he was in the Senate.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/TYJzg5IJN8o/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Also if you are a lobbyist,  you may not lobby during the course of the transition,  nor may you come back after President-elect Obama takes office for one year and lobby on an issue that you worked on in the course of the transition.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TYJzg5IJN8o/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TYJzg5IJN8o/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TYJzg5IJN8o/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/TqMh7U3J4D4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Well, it's worthwhile because it could help our planet, it could help our future generations.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/TqMh7U3J4D4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/TqMh7U3J4D4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/TqMh7U3J4D4/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And our farts, our farts, are so smelly cause girls, we're healthy we enhappy our vitamin rich, Starbucks fruit-smoothies' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I make this announcement today with a smile on my face because we know this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'why don't act like we know this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'why do we keep failing to take notice of the pressure put on girls too young to understand this' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/UlTJmndbGHM/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I knew flexibility was impressive before I was old enough to wonder why' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/UlTJmndbGHM/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/UlTJmndbGHM/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/UlTJmndbGHM/7.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/VAXhC2U9-2A/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Ranked second on the list of \"the Best Corporate Citizens in Government Contracting,\" Accenture was recently recognized for its proactive and dedicated social responsibility and transparency efforts when supporting and working with government agencies.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/VAXhC2U9-2A/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/VAXhC2U9-2A/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/VAXhC2U9-2A/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a faculty member in the School of Education at Sonoma State University.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is important that teachers understand their legal, ethical, and professional responsibilities in an educational setting.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This legal session will focus on illegal discrimination in schools and classrooms.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ViyQVpGW05w/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Noncompliance with these laws can result in legal liability to you and to the school districts in which you are employed.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ViyQVpGW05w/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ViyQVpGW05w/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ViyQVpGW05w/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Viz5vDE39y8/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I really am very excited that these things are popping up and happening and there are some very successful models like Casa De Amma.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Viz5vDE39y8/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Viz5vDE39y8/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Viz5vDE39y8/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Vuay0mVKkik/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And when I was going to school it was really difficult for me to find avenues and resources to be able to reach higher education.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Vuay0mVKkik/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Vuay0mVKkik/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Vuay0mVKkik/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a fellow at the Committee of Conscience at the US Holocaust Museum, and I'm undertaking a research project that is pegged to the upcoming trial in the Hague of the alleged Bosnian war criminal Ratko Mladic, who is the most prominent of all the people who've been indicted by the Yugoslav war crimes tribunal in the Hague.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Wrcf2xtqbkQ/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/XyP8bVmGX6M/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'KPMG has partnered with Georgetown University to launch a new Consumer Research Institute based in Washington D.C.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XyP8bVmGX6M/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XyP8bVmGX6M/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XyP8bVmGX6M/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/XyP8bVmGX6M/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\"Thought leadership from the institute will be particularly relevant.\" she said in a statement.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XyP8bVmGX6M/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XyP8bVmGX6M/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XyP8bVmGX6M/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your major can be anything from English to Anthropology to Music, Dance whatever you like.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact the nice thing about coming into med school with a major that's not necessarily in the sciences is that you bring a level of diversity to the class.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/XzVapdEr_GY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you have a major in humanities you have had critical thinking and creativity as part of your curriculum and those are skills which will be wonderful to have as part of a med school class.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/XzVapdEr_GY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/XzVapdEr_GY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/XzVapdEr_GY/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '&gt;&gt; I want to get rid of the federal government monopoly on student loans, and give our students more options.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Z7L3V5bwzI0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Z7L3V5bwzI0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Z7L3V5bwzI0/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I MEAN BECAUSE -- BECAUSE TO BE A GAY MAN OR WOMAN, THANK GOD IT IS A MIRACLE, THANK GOD IT IS NOT A SIN ANYMORE' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ZaoFHcbRM9g/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ZaoFHcbRM9g/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ZaoFHcbRM9g/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/Zvisaa77Cng/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think in Davos the whole issue about regulation ethics has been a big issue.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/Zvisaa77Cng/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/Zvisaa77Cng/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/Zvisaa77Cng/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Promotion is defined as advancement of position, encouragement of the progress, growth or acceptance of something.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Peggy Collins and I'm here to help you learn how to promote your event.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can pull off an elaborate stunt to generate news media attention.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/19.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The better prepared you are, the better the experience and results.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_7HVhnSYX1Y/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_7HVhnSYX1Y/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_7HVhnSYX1Y/31.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_aZDaIfGfPo/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hi, I'm Rebecca Lee, Advisor at the White House Initiative on Asian Americans and Pacific Islanders.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_aZDaIfGfPo/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_aZDaIfGfPo/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_aZDaIfGfPo/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm a professor here at Stanford and for the past eight years, I've been teaching the class \"The Design and Analysis of Algorithms.\" And I'm pleased to say that for the first time we're going to be offering this class online, freely available to everybody.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_gr7o5ynhnw/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While the emphasis of the course is on timeless ideas and key principles.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gr7o5ynhnw/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gr7o5ynhnw/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gr7o5ynhnw/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/_gzYkdjNvPc/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Teen trends used to be very isolated from runway trends but now with the rise of the internet and also access to cheap runway copies, any potential business for these outdated teen retailers has sort of been absorbed by companies like H&amp;M, Zara, Forever 21, and other online niche brands' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/_gzYkdjNvPc/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/_gzYkdjNvPc/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/_gzYkdjNvPc/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'VENKAT: I got interested in entrepreneurship and teaching entrepreneurship because of my experience that I had early in my career.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Some of the most exciting times I've had were those two years when I worked for a spin-off of a large company, where we decided to start a new business.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And after two years of that experience, I decided to come to the USA, get a PhD, and I decided to do it in the area of entrepreneurship.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Darden was a natural home for me, because it's a place where not only can you practice and research and write what you believe in, what you feel strongly about, but it also put a lot of value on good teaching.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aFhc2ddipoM/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And so this is a natural and a perfect home for me to come and teach and practice the field of entrepreneurship.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aFhc2ddipoM/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aFhc2ddipoM/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aFhc2ddipoM/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/aK5tRCXjUvU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hello, so today I'm going to speak to you about this product.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/aK5tRCXjUvU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/aK5tRCXjUvU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/aK5tRCXjUvU/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/b-FX9NOVQOM/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's us against them, it's not us, us, us, them, them, them, and the big man -- no' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/b-FX9NOVQOM/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/b-FX9NOVQOM/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/b-FX9NOVQOM/4.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/bAkUEnPoucg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Um, in this case you don't have to invest too much you can start with just a small amount and then end up with double that which is great!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bAkUEnPoucg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bAkUEnPoucg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bAkUEnPoucg/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The American Board of Internal Medicine, more often referred to as the ABIM, offers certification exams for all types of physicians and specialties, including Internal Medicine, Geriatric Medicine, and Transplant Hepatology.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their website provides the best study guides, flash cards and practice tests around, so go check it out.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bNQkb4K5DX0/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You can also find links to these resources in the description below, or do a simple Google search for \"Mometrix ABIM.\" Thanks for watching, and good luck on your ABIM Certification exam!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bNQkb4K5DX0/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bNQkb4K5DX0/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bNQkb4K5DX0/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'production, so if that doesn't interest you, you might not like this book' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We enter the story when Callie kisses her crush on the cheek, making their relationship super awkward' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bWunvAd96zI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Overall, I enhappyed this middle grades contemporary romance' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bWunvAd96zI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bWunvAd96zI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bWunvAd96zI/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now breathing can help you slow down, and calm down, and relax, but it's just a fact that you talk faster when you're nervous, and you're probably going to be nervous.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bj9e8w4vNxo/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not too slow, where it becomes boring, but not so fast where we can't understand you.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bj9e8w4vNxo/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bj9e8w4vNxo/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bj9e8w4vNxo/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'eight years under senate leadership under Harry Reid' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/0.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/bpvYdXVlgvc/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They're not going to give this thing any floor time at all because they know that Donald Trump is not going to divest from his corporations' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/bpvYdXVlgvc/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/bpvYdXVlgvc/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/bpvYdXVlgvc/6.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/c5cB7AfVgcE/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You don't feel like you don't know what could surprise you from behind.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/c5cB7AfVgcE/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/c5cB7AfVgcE/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/c5cB7AfVgcE/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, welcome to today's Encourage Mint, which is meant to freshen, your day' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Seeing past the flaws' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Don't get all bent out of shape because this thing is eating away at you, the way it presses your buttons or something' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you can see the person in the context of who they are, really, behind that flaw, or who they're going to be, or who they can be, it will make for a better, better situation' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We all have flaws in our life' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We are littered with flaws' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dBWvtPeHpWM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So try to see past the flaw' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dBWvtPeHpWM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dBWvtPeHpWM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dBWvtPeHpWM/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/dt641WxonBI/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I attended Morton College from 2009 until currently actually.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/dt641WxonBI/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/dt641WxonBI/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/dt641WxonBI/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/eKRWfaizBO0/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There is less stress; there is less memory of the whole event which can sometimes be quite a bit to go through.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eKRWfaizBO0/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eKRWfaizBO0/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eKRWfaizBO0/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/eKRWfaizBO0/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I think it is just a kinder, gentler way for the patient to have the operation.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eKRWfaizBO0/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eKRWfaizBO0/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eKRWfaizBO0/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey Guys, its Donny And no I'm not in Toronto I'm in Italy! But I want to tell you a little bit about the story of what I just went through Yes, many of you know I bought a house recently And I've been telling everyone I know' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'NOW is the time to take advantage of an opportunity I;m serious! And I believe it so strongly that I, myself who is not looking for a home- bought a house! I think opportunity is knocking guys, and that window is gonna get shorter and shorter Now is the opportunity to get int he market and move up and take advantage of some of these prices in the weaker demand' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/eOiC1kb17P4/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I really believe that this is the best strategy right now And in 6 months, 9 months time; I'll put out a video talking about what I went through to get to that point' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/eOiC1kb17P4/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/eOiC1kb17P4/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/eOiC1kb17P4/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/fPsy1co_nuw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This absorbency is like so much different than like a menstrual pad and it's great for liquid Overall, it works great It does what it needs to do Yep, that is it!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fPsy1co_nuw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fPsy1co_nuw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fPsy1co_nuw/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This course is designed to get you up &amp; running with socket programming very quickly, in a no fuss fashion.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It covers some very important yet slightly advanced topics.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/18.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/fWOIAxzBQFY/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In the next video I am going to show you how to use your code to find the IPV4 address of your machine the next three videos are going to cover a topic that was not originally included in the course Every now &amp; then some student will ask me why I'm not showing in the course how to handle multiple clients in the server.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fWOIAxzBQFY/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fWOIAxzBQFY/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fWOIAxzBQFY/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I just wanted to do a quick review of the Icy Anti-Slip Grips.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You could come in and take this off, and throw them in the sink and rinse it off.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/17.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So you don't get that sludge sort of tracking in to your house.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/18.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Plus, you can get inside really fast with these on the bottom of your feet.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/19.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I actually have a friend who recommended these to me because I was complaining about slipping on the icy sidewalk up to work.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They just so much more convenient than stupid boots that take forever to put on and just aren't comfortable!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/21.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now I can wear these with my sneakers that, you know, I love how they feel.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/22.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One thing I've found out about the Icy grip soles that I was not expecting is that they are actually convenient to use indoors too when you're cleaning, when you're moping the floor.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/24.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what I found is that I just pop these over my tennis shoes and I don't have to worry about it anymore.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/27.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I can just mope my floor, no worries about slipping or falling anymore, which is really convenient!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/28.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My husband thinks I'm crazy, but I absolutely love them and I just feel so much better when I wear them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/30.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You could use them for the snow, you could use them indoors.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/f_ZJ7L14oYQ/33.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/fe2CWCpdTF8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'bjbj Hello my name is Ava Castillo; I am a Kindergarten Bilingual teacher in Fort Worth, TX.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/fe2CWCpdTF8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/fe2CWCpdTF8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/fe2CWCpdTF8/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You may be aware that the funding for public broadcasting is being considered for elimination by congress in next year's budget.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'While this is not the first time this has been considered, the threat of defunding the Corporation for Public Broadcasting has never been more real than it is now.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's true that federal support is only a part of the funding necessary for public broadcasting to operate.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/g8Cl74tS3oY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The very essence of public broadcasting—programming for you, your family, and your community, uninterrupted and with the uncompromising expectation of quality and respect for the viewer's intellect.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/g8Cl74tS3oY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/g8Cl74tS3oY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/g8Cl74tS3oY/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Their relationship begins to get more physical, but Eleanor's step-father discovers her relationship with Park and is upset.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'He feels undesirable, in a way, because he identifies himself as Asian and he sees a lack of Asian men in the media as desirable.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/18.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And while there have been Asian men who have been action heroes, like Bruce Lee and Jackie Chan, they're more viewed as weapons or comic relief, not necessarily as romantic love interests.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/21.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The identity of Asian men in our culture is not a big theme in this story, yet the author was aware of the issue enough to bring it up.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/21.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/21.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/21.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/25.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Both are worried about perception and why the other person would want to be with them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/25.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/25.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/25.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Eleanor for her size and lack of femininity; Park for his low self-esteem.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/26.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As weeks go by, Park and Eleanor develop a friendship based on their love of music and comics.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/gR4gM_WXesQ/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One day, they start holding hands and their feelings for each other blossom into a romance.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/gR4gM_WXesQ/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/gR4gM_WXesQ/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/gR4gM_WXesQ/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There's also building inspections that will help to indicate how far along that construction job is.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/goMtnNHQ_z4/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A good contractor will help you through that, a good mortgage broker will be, help you even more.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/goMtnNHQ_z4/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/goMtnNHQ_z4/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/goMtnNHQ_z4/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/hqzF4IDaIYE/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's the bedrock of all rights, because if you don't have legal capacity, then your rights are taken away' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hqzF4IDaIYE/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hqzF4IDaIYE/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hqzF4IDaIYE/0.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/hrLoOAh_8LY/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm Karen Nguyen, director of small business marketing at Rogers, and I'd like to invite you to the Rogers Business Forum.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hrLoOAh_8LY/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hrLoOAh_8LY/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hrLoOAh_8LY/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/hrLoOAh_8LY/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This content hub will give you access to exclusive webinars, thought-leadership blogs, and social contests.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/hrLoOAh_8LY/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/hrLoOAh_8LY/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/hrLoOAh_8LY/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'SARAH MCINDOE, CAREER CONSULTANT: In any industry there are lots of different jobs.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'To find the one that's right for you, it helps to understand what makes the whole industry tick.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/j0br-fFy160/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You might like an apprenticeship in pattern making or tailoring.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/j0br-fFy160/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/j0br-fFy160/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/j0br-fFy160/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are no court hearings if you and your spouse agree or the other party does not respond.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/11.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your case can be completed very inexpensively - using our services, you can save about 75% versus hiring an attorney.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/11.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/11.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/11.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are not charged extra for including debt, property and issues related to children.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/12.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/jICmfLeFymA/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you are not a Nevada resident or do not qualify for a Nevada annulment, we can also process a Dominican Republic divorce that is valid for residents of many states.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jICmfLeFymA/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jICmfLeFymA/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jICmfLeFymA/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/jrDqduyQrfo/16.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So get your street team and have them work the venues and stuff that's going on, events that's going on and make sure they're passing off flyers.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/jrDqduyQrfo/16.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/jrDqduyQrfo/16.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/jrDqduyQrfo/16.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/k5ZOshC2LP4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If youre savory, youre a vegetable, not a fruit, and Tomato, tomahto, make up your mind' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/k5ZOshC2LP4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/k5ZOshC2LP4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/k5ZOshC2LP4/4.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/kbGhEJ4W44o/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Innovation is social, not the preserve of lone geniuses; anarchic and anti-organisational, as well as needing failure and risk to succeed according to Professional Services firm Deloitte.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kbGhEJ4W44o/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kbGhEJ4W44o/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kbGhEJ4W44o/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/kfsO4c0Ekes/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm looking forward to the day that he comes back to the White House and briefs the press corps on the decisions that I'm making and why I'm making them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kfsO4c0Ekes/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kfsO4c0Ekes/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kfsO4c0Ekes/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/kvUb78Rdzdc/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If I were to develop a mobile set-up the way that this plugin allowed me to do, it would cost me between 1500 and 2000 dollars.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/kvUb78Rdzdc/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/kvUb78Rdzdc/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/kvUb78Rdzdc/2.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Usually it's with the advice and recommendation of a Governance Committee.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lO87-4Kf0cQ/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lO87-4Kf0cQ/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lO87-4Kf0cQ/4.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/lWf5hHRHIDs/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now many of us never look at what our values are, we don't sit down, we know we have some values, but we don't sit down and think about what's the most important thing to us.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lWf5hHRHIDs/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lWf5hHRHIDs/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lWf5hHRHIDs/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/lWf5hHRHIDs/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This can help you make the decisions that you need to make in your life, in your business.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lWf5hHRHIDs/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lWf5hHRHIDs/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lWf5hHRHIDs/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/lawHYX5eB20/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" And that's why they close down and go quiet' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/lawHYX5eB20/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/lawHYX5eB20/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/lawHYX5eB20/1.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/ly3QDQDJzzQ/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Compared to traditional fuels, shale gas has recently been touted as a low-cost, carbon-friendly alternative.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ly3QDQDJzzQ/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ly3QDQDJzzQ/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ly3QDQDJzzQ/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As your project file goes over a hundred megabytes, I'm not exactly sure why that's true, but it is, it starts to become unstable and when it becomes unstable, it starts to corrupt and when it corrupts,  suddenly you're going to lose everything.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/22.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My life is over, I'm going to start walking in front of large moving buses.\" Phew, wow, that's a lot of responsibility.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mHGaQ_nv9UY/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mHGaQ_nv9UY/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mHGaQ_nv9UY/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If your daily or monthly budget has been depleted your ads will no longer show as it's simply a factor of the click costs you can accrue within your budget.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/mLW-jn67gRE/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's possible that there is an issue with the method of payment, an outstanding balance, or something that's causing the credit card to not process.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/mLW-jn67gRE/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/mLW-jn67gRE/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/mLW-jn67gRE/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/nUZYqTRSGDw/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the alternative to that is to spend all your money and have debt and have the government look at you as a burden.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nUZYqTRSGDw/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nUZYqTRSGDw/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nUZYqTRSGDw/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/nUZYqTRSGDw/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If you start investing at a young age it becomes a habit to you and it becomes like second nature.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nUZYqTRSGDw/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nUZYqTRSGDw/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nUZYqTRSGDw/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/nyzIL6YAonY/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is full of 3-D animation and high definition videos, so you won't be disappointed!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nyzIL6YAonY/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nyzIL6YAonY/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nyzIL6YAonY/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/nyzIL6YAonY/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Once you have all the information you need, I recommend that you schedule a no-obligation appointment with us to discuss your unique needs and help you find a solution that meets your budget.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/nyzIL6YAonY/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/nyzIL6YAonY/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/nyzIL6YAonY/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is NOT just an imaginary voice in their head; it is NOT just their gut feeling.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Can YOU honestly say that you hear the voice of Jesus OUTSIDE OF THE BIBLE?' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/5.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/ooAF6I-fmTg/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'OR are you one of these Christians who is an utter hypocrite because you believe God is dead?' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ooAF6I-fmTg/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ooAF6I-fmTg/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ooAF6I-fmTg/7.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/pOrk7fl1AYo/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And that's the most important thing, is that through the eye of the video, you cannot tell real from mirror any longer' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pOrk7fl1AYo/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pOrk7fl1AYo/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pOrk7fl1AYo/3.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/pVs1daijYTw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The nuclear test that the DPRK conducted last month and its subsequent ballistic missile launches are provocative; they are threatening; they are a violation of the United Nations Security Council resolutions.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/pVs1daijYTw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/pVs1daijYTw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/pVs1daijYTw/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/qY1sXq-YCHs/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'If it is a first time DUI and you took a chemical test, it will be suspended for 120 days.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qY1sXq-YCHs/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qY1sXq-YCHs/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qY1sXq-YCHs/6.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I am here to tell you that we are up to, over 50% funded with the Kickstarter!!! That's amazing!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So Thank you to everyone who has donated it has been an amazing journey so far and I can't wait... there's 18 days left and... It's gonna rock!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/qmMSumMloAs/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm very hopeful and very confident that we will make this goal!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/qmMSumMloAs/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/qmMSumMloAs/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/qmMSumMloAs/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/12.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, you know, we sort of knock them down and pick them back up along the way.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/12.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/12.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/12.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/r13W4H8ZhqI/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We feel that we're precise to within a couple of millimeters.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r13W4H8ZhqI/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r13W4H8ZhqI/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r13W4H8ZhqI/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'A smart and cost effective solution is a temporary fabric shelter that provides protection from the snow, contains an area, or serves as commercial storage space.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Our temporary fabric buildings and portable structures can be customized to fit any specific requirement you may have.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/r5ijC2W9ddk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We provide stellar customer service, quick delivery, and installation can often be completed in about one week, depending on the size.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/r5ijC2W9ddk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/r5ijC2W9ddk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/r5ijC2W9ddk/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'hey hey hey Sherri Brown here with a super sweet and awesome promotion for anybody looking to take their business to the next level.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rf0yDSeVEUA/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if you are ready to get unstuck, optimize your profile and position yourself as a credible source then this Over the next 30 days, my goal is to pour myself into you and your business and set you up for success!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rf0yDSeVEUA/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rf0yDSeVEUA/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rf0yDSeVEUA/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Victor Macias.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So what we liked is it definitely has that fresh, light scent.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/10.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/15.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now this is the same scent.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/15.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/15.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/15.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I'm not an overly sweaty person, but I did feel dry, and when I wore this product I did not wear any other fragrances with it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/29.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That could be you if you enter the code, if you purchase the right product.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/29.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/29.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/29.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/31.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We've tried different Axe products and I'd say this is our favorite so far, especially the scent.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/31.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/31.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/31.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/32.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The Fresh scent is really good.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/32.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/32.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/32.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/38.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you very much.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/38.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/38.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/38.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/rojyUp4FPSg/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Now the main reason is because a lot of us like to wear cologne at night.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/rojyUp4FPSg/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/rojyUp4FPSg/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/rojyUp4FPSg/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/sC16n1k66io/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We go back to Abraham Lincoln, we like to talk about Teddy Roosevelt, we like to talk about Eisenhower and we like to talk about Ronald Reagan.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sC16n1k66io/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sC16n1k66io/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sC16n1k66io/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/sPremsknoLM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I don't think doctors should be accountable for their actions' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sPremsknoLM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sPremsknoLM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sPremsknoLM/8.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/sPremsknoLM/9.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In fact, I think they're heroes, no matter what they do' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/sPremsknoLM/9.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/sPremsknoLM/9.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/sPremsknoLM/9.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/ssqiwP19JhM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Students might also-domestic students and international students are also working on campus in the summer and they sometimes work during J term or during holiday breaks as well.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/ssqiwP19JhM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/ssqiwP19JhM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/ssqiwP19JhM/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'On Wednesday the major index tracking exchange traded funds edged lower.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/szic2IB9HB4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In other ETF market news, investors have turned bearish on U.S.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/szic2IB9HB4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/szic2IB9HB4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/szic2IB9HB4/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Even in an age when we can take a virtual trip to far-flung places just by clicking a mouse, we still want to see the world for ourselves and discover our common bonds first-hand.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'That's why we created the Fulbright Program in 1946. Today it is stronger than ever with thousands of scholars traveling to and from over 150 countries.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'For those of you already pursuing an education abroad I'm very grateful and wish you well.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The ties of friendship and understanding your building are the most effective forms of diplomacy they truly will help shape our common future.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/tXQpm-nKxNA/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And to those students who have yet to study abroad I urge you to stretch your boundaries and your imaginations and set off on your own adventures.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/tXQpm-nKxNA/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/tXQpm-nKxNA/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/tXQpm-nKxNA/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PwC will become the first firm to offer places under the new professional services Higher Apprenticeship framework.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The two year tax Apprenticeship is based on the new, government sponsored professional services Higher Apprenticeship framework that PwC's own consulting practice has developed with employers and professional bodies, and which is expected to be formally endorsed by Government in the near future.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'By doing a formal Apprenticeship, people can take an accredited route to a highly skilled career in professional services within a nationally recognized framework.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/u6PL_7Z9QlU/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/u6PL_7Z9QlU/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/u6PL_7Z9QlU/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Barber could offer, and how responsive her girls are to her and the needs of the team, it's been an incredible fit the last couple years' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Whenever the team reports we're here 30 minutes prior to them, getting things ready' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '\" The Rockets certified athletic trainer is Victoria Simonetti, and she also relies on the help of the managers' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/unNY4zIk8MM/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'What do you want me to do to get the process started' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/unNY4zIk8MM/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/unNY4zIk8MM/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/unNY4zIk8MM/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PROTESTING, THE BIGGER PROBLEM IS ACTUALLY THE UNDERLYING ONE' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'PEOPLE GETTING SHOT AND KILLED IS A MUCH BIGGER PROBLEM THAN SUMMARY SITTING OR STANDING' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/1.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'FOR ME AS A FOOTBALL FAN, THIS IS UP TO AN IMPROBABLE STORY' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "surprise", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/2.pt"], "task": "emotion_cls", "class_label": "surprise"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'AT THIS POINT I CAN'T STAND COLIN KAEPERNICK AS AN ATHLETE, OR I COULDN'T' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "disgust", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/3.pt"], "task": "emotion_cls", "class_label": "disgust"}
{"videos": ["cmu_mosei/Raw/val/v2Rr-EsJda8/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'NOW HE HAS ALMOST SWUNG ME AND BECOME ALMOST AN AMERICAN HERO' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v2Rr-EsJda8/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v2Rr-EsJda8/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v2Rr-EsJda8/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/v9gjg7TDlTA/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I developed a theoretical framework trying to explain how, you know, efficient let's say programs that's supposed to improve profit and ends up actually hurting microloan recipients and they end up with lower profit.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/v9gjg7TDlTA/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/v9gjg7TDlTA/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/v9gjg7TDlTA/5.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/vHzbn_YW76s/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We don't like to be rude with people but if we have to we will be.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "anger", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vHzbn_YW76s/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vHzbn_YW76s/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vHzbn_YW76s/3.pt"], "task": "emotion_cls", "class_label": "anger"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: '[music] Jamie Gruman: I think the main strength of the program is that it can be completed in a reasonable amount of time, and you finish the program with very solid, strong research skills that allow into you to take those skills either into industry or into an academic job' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Not only do you get a top-notch, research-based education, you get to build a connection with faculty that really take an interest in promoting your development' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My niche is really in organizational leadership but I work at the intersection of a couple of spheres' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And finally, I also look at high technology or information technology and how that impacts how we manage companies, how we manage information, and how we manage people' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/17.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My last two papers actually resulted from having participated in research that originated at the University' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/17.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/17.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/17.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vU0a4F36Ksw/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They want to learn' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vU0a4F36Ksw/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vU0a4F36Ksw/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vU0a4F36Ksw/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Thank you so much for joining me today on our healthy version of how to do snacks right.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And, the other tip: clean out the pantry from all the bad stuff.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'No matter how much healthy stuff you put in the pantry, if you don't take the bad stuff out, it's still going to tempt you.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I have my yam chips, and you'll see it's a very small amount because I keep eating them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Again, the two tips that I really encourage you to invest some time in: plan and prepare, that may mean some cooking at home.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vbr3EA8cJTI/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But, even if it means you are not making your own nut/trailmix, go buy some.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vbr3EA8cJTI/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vbr3EA8cJTI/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vbr3EA8cJTI/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/vo_JbAFAD68/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'G'Day I just saw Godzilla in 3D and I left the Cinema a bit disappointed but not get me wrong I am still giving this movie let me start with the good things when Godzilla is shown full screen first time and roar it really made you tremble , shake ! it is awesome, Bryan Cranston with the little screen time that he gets, it is very good!' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/vo_JbAFAD68/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/vo_JbAFAD68/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/vo_JbAFAD68/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/18.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Having someone from CENTORRINO Technologies who understands Macs' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/18.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/18.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/18.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It just meant they are a lot easier to run' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/wF8980oGklk/26.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And from my perspective as an administrator, I'm also the IT person here it means that I am not running around trying to fix things, because they just work' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wF8980oGklk/26.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wF8980oGklk/26.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wF8980oGklk/26.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/wosolsrH3sM/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Of course, we extend our deepest condolences to all the families and all those affected by this senseless violence, and we reaffirm our commitment to support the Iraqi people and the Government of Iraq as they work to defeat Daesh.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wosolsrH3sM/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wosolsrH3sM/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wosolsrH3sM/6.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/wvLEIxt-_V0/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hope you had a lot of fun working with the Pirate Fleet app.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/wvLEIxt-_V0/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/wvLEIxt-_V0/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/wvLEIxt-_V0/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/x-zGBp7axao/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It is my first presidential inauguration that I'm watching so I think it was just a really great opportunity that Student Affairs was putting on so that the students and campus has a place to watch it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x-zGBp7axao/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x-zGBp7axao/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x-zGBp7axao/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/x-zGBp7axao/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I grew up Republican, but I think it is a big day in history today and I don't think it matters what party the president is and I think we need change, we need the economy to pick up, we need the world to be a better place and if Obama is going to be the one to do it, then I'm all for it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "fear", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/x-zGBp7axao/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/x-zGBp7axao/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/x-zGBp7axao/3.pt"], "task": "emotion_cls", "class_label": "fear"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'We know you have many choices in choosing your   college and we thank you for selecting Gateway.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'You are joining the over 25,000 students that participate   in one of Gateway's over 65 degree programs.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As you get a chance to search   through our web and participate in interactions with our faculty, you will find tremendous amounts of resources available to you.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/7.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'As an online learning student, I also encourage you to participate when you can   in our campus activities.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/7.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/7.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/7.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xUgAP84vsg4/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'There are many student engagement programs that take place.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xUgAP84vsg4/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xUgAP84vsg4/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xUgAP84vsg4/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Ashlynn Whalley and I am in the new Justice, Political Philosophy and Law program or JPPL for short at McMaster' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It's run by a fantastic team of professors; they are always available for you' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They've got your interests at heart' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'They want this program to succeed, they want you to succeed so it's, it's been a fantastic experience so far' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'One of the best things about it is that while Philisophy doesn't seem like it's applicable to real life situations, everything that you learn in this program, you use on a day-to-day basis' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xivYoEUQ5sk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And it's great because you can use it in any kind of future endeavor' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xivYoEUQ5sk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xivYoEUQ5sk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xivYoEUQ5sk/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'When this jar is full or it's half-filled or three quarters filled, I take the contents from here and I put them inside a business card binder that I made.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/10.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/13.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if the name of your company begins with A, I'm going to file your card in the A section.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/13.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/13.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/13.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/14.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'And I'm going to use these business card sheets that are again, available at Staples.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/14.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/14.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/14.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/20.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So if it's a floral company, you would file the card under F for flowers.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/20.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/20.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/20.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/22.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'It makes sense for me to do it by company so that's why I do it that way.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/22.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/22.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/22.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/23.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'But when you are done, you have this great business card binder that is going to be really easy to just flip through and find the exact card when you need it.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/23.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/23.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/23.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Your kids don't want to play with Joe Smith, the plumber's business card.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/xjsaS-LeZ14/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'So it's time to gather all those cards that don't belong in the places where they're currently at and put them in a system that is going to be easy to put away, easy to find, and easy to grab when it's time to look for that card to contact that person that you've been meaning to contact for months.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/xjsaS-LeZ14/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/xjsaS-LeZ14/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/xjsaS-LeZ14/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'I've been a clinical aesthetician for over half a decade, and I'm going to talk to you about whether or not hemorrhoidal cream can help wrinkles.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/10.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'My name is Keeley Selvage with Keeley's Skin Solutions and that is whether or not hemorrhoidal cream will help your wrinkles.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "sad", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/10.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/10.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/10.pt"], "task": "emotion_cls", "class_label": "sad"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/3.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'The reason it works so well is because most have steroids in them.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/3.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/3.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/3.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'This can be very dangerous for our face, and it will actually even show dark circles, and imperfections, scars, even more prevalently than they would have before.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y8HXGm1-Ecw/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y8HXGm1-Ecw/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y8HXGm1-Ecw/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/2.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'LAST YEAR, IT WAS UP 10% FROM THE PREVIOUS YEAR' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/2.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/2.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/2.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/4.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WHAT IS THE APPEAL OF STUDYING ABROAD' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/4.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/4.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/4.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'WE HAVE A STUDENT MAJORING IN ENGLISH AND BEATRICE, FIRST OF ALL, THANK YOU FOR ç' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/8.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'AND BEATRICE IS VISITING US THIS WEEK AND FRIENDS WITH MY DAUGHTER' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/y9FyTEyGy5Y/8.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/y9FyTEyGy5Y/8.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/y9FyTEyGy5Y/8.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/zhE_68GMJIk/5.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'In 1950, Sweden was already one of the world's richest countries, and back then taxes were lower in Sweden than in the United States.' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zhE_68GMJIk/5.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zhE_68GMJIk/5.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zhE_68GMJIk/5.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/zhE_68GMJIk/6.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Only then did we start expanding the government dramatically, and you know what happened then?' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zhE_68GMJIk/6.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zhE_68GMJIk/6.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zhE_68GMJIk/6.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/0.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Hey guys, this is David over at A Secure Life' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/0.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/0.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/0.pt"], "task": "emotion_cls", "class_label": "happy"}
{"videos": ["cmu_mosei/Raw/val/zjYEBwXGD8I/1.mp4"], "problem": "<video>\n<audio>\nAbove is a video clip. The speaker said: 'Today we're doing a review of Frontpoint Home Security Systems' What is the emotion of the speaker in this video?\nhappy\nsad\nanger\nsurprise\ndisgust\nfear\nAnswer with one word or phrase.", "answer": "happy", "dataset": "mosei_emotion", "images": [], "modality_signature": "text_video_audio", "audios": ["cmu_mosei/Raw/val/zjYEBwXGD8I/1.wav"], "texts": [], "ext_video_feats": ["pose/cmu_mosei/Raw/val/zjYEBwXGD8I/1.pt"], "ext_audio_feats": ["opensmile/cmu_mosei/Raw/val/zjYEBwXGD8I/1.pt"], "task": "emotion_cls", "class_label": "happy"}
{"problem": "<video>\n<audio>\nand all of this while sitting on the toilet\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/181.mp4"], "audios": ["urfunny2_videos/val/181.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/181.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/181.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nisn't that mind blowing i bet you will never look at that black truffle again without thinking of its genes\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/182.mp4"], "audios": ["urfunny2_videos/val/182.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/182.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/182.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nmost of us may not yet be diagnosing genetic conditions in our kitchen sinks or doing at home paternity testing\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/183.mp4"], "audios": ["urfunny2_videos/val/183.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/183.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/183.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit is in our to be curious\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/184.mp4"], "audios": ["urfunny2_videos/val/184.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/184.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/184.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthey can jump right into the pen and swab their noses and mouths with a little filter paper place that little filter paper in a tiny tube and mix it with some chemicals that will extract genetic material from their noses and mouths\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/186.mp4"], "audios": ["urfunny2_videos/val/186.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/186.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/186.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nian decided to move his lab into sierra leone\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/190.mp4"], "audios": ["urfunny2_videos/val/190.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/190.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/190.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwhen astronauts live aboard the international space station they're orbiting the planet miles high\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/191.mp4"], "audios": ["urfunny2_videos/val/191.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/191.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/191.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand hamlet\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/351.mp4"], "audios": ["urfunny2_videos/val/351.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/351.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/351.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand then when he's finished with ophelia he turns on his mum because basically she has the audacity to fall in love with his uncle and enjoy sex\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/355.mp4"], "audios": ["urfunny2_videos/val/355.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/355.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/355.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwhen a woman writes about doing it it's an unfortunate genetic disposition\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/356.mp4"], "audios": ["urfunny2_videos/val/356.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/356.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/356.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit turns out it would have been better to start with my face which was much more painful and move toward my legs giving me a trend of improvement over time that would have been also less painful\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/579.mp4"], "audios": ["urfunny2_videos/val/579.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/579.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/579.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso my interest in cheating started when enron came on the scene exploded all of a sudden and i started thinking about what is happening here\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/580.mp4"], "audios": ["urfunny2_videos/val/580.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/580.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/580.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso this guy like was forced to see it every day\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/592.mp4"], "audios": ["urfunny2_videos/val/592.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/592.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/592.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nin every work that i create i write messages with my style of a mix of calligraphy and graffiti\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/593.mp4"], "audios": ["urfunny2_videos/val/593.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/593.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/593.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthis is south los angeles\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/800.mp4"], "audios": ["urfunny2_videos/val/800.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/800.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/800.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nplus you get strawberries\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/802.mp4"], "audios": ["urfunny2_videos/val/802.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/802.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/802.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nif kids grow kale kids eat kale\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/803.mp4"], "audios": ["urfunny2_videos/val/803.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/803.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/803.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe funny thing about sustainability you have to sustain it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/804.mp4"], "audios": ["urfunny2_videos/val/804.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/804.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/804.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso what i did i planted a food forest in front of my house\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/806.mp4"], "audios": ["urfunny2_videos/val/806.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/806.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/806.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand this is how i decided to maintain it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/807.mp4"], "audios": ["urfunny2_videos/val/807.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/807.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/807.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwe were walking with him holding onto my shoulder i miscalculated how much space there was between us and i knocked him into a gate\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/810.mp4"], "audios": ["urfunny2_videos/val/810.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/810.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/810.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwhen i looked up two guys were seated three were lying down and others were squatting\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/812.mp4"], "audios": ["urfunny2_videos/val/812.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/812.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/812.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni was slightly afraid to ask what type of miracles he meant and he replied nonchalantly coach let me take the team to the church and when we return i guarantee that half of them will be able to see\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/813.mp4"], "audios": ["urfunny2_videos/val/813.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/813.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/813.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbesides let me make this clear if we go to that church and i end up being able to see when we return i will beat you so hard if i can't play tomorrow\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/814.mp4"], "audios": ["urfunny2_videos/val/814.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/814.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/814.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nfortunately there were no gates along the way\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/815.mp4"], "audios": ["urfunny2_videos/val/815.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/815.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/815.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe blind who attended the institute would play their games there just like i did at a field near my house\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/816.mp4"], "audios": ["urfunny2_videos/val/816.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/816.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/816.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni put it on and tried to play\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/817.mp4"], "audios": ["urfunny2_videos/val/817.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/817.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/817.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwe went from a production economy to a service economy\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/989.mp4"], "audios": ["urfunny2_videos/val/989.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/989.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/989.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe double income family was the rule\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/998.mp4"], "audios": ["urfunny2_videos/val/998.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/998.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/998.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni thought every seven went through this\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/1002.mp4"], "audios": ["urfunny2_videos/val/1002.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1002.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1002.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nall right there's this episode of star trek\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/1004.mp4"], "audios": ["urfunny2_videos/val/1004.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1004.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1004.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbut then we listen to the other percent of our stuff recorded\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1005.mp4"], "audios": ["urfunny2_videos/val/1005.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1005.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1005.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthis is ralph stanley\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1548.mp4"], "audios": ["urfunny2_videos/val/1548.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1548.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1548.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand when she said it it made me anxious\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1559.mp4"], "audios": ["urfunny2_videos/val/1559.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1559.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1559.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni had thought of deafness entirely as an illness\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1560.mp4"], "audios": ["urfunny2_videos/val/1560.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1560.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1560.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nshe was facing the question of what to do with this child\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1561.mp4"], "audios": ["urfunny2_videos/val/1561.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1561.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1561.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthose straight parents often want them to function in what they think of as the mainstream world and those gay people have to discover identity later on\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1562.mp4"], "audios": ["urfunny2_videos/val/1562.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1562.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1562.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand while some of them can be difficult there's no attempt to cure them\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/1563.mp4"], "audios": ["urfunny2_videos/val/1563.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/1563.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/1563.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nlets people rent out their own cars to their friends and neighbors\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/2053.mp4"], "audios": ["urfunny2_videos/val/2053.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2053.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2053.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou don't have to believe in a god per se just in being jewish\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/2057.mp4"], "audios": ["urfunny2_videos/val/2057.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2057.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2057.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso that overmatched capability creates problems catastrophic successes the white house calls them\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/2136.mp4"], "audios": ["urfunny2_videos/val/2136.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2136.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2136.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso we say area denial anti access asymmetrical strategies and their eyes glaze over\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/2137.mp4"], "audios": ["urfunny2_videos/val/2137.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2137.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2137.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nhe was not just a scientist he had a in molecular biology\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/2695.mp4"], "audios": ["urfunny2_videos/val/2695.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2695.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2695.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe first one judge lourie made up his own novel biological theory totally wrong\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/2696.mp4"], "audios": ["urfunny2_videos/val/2696.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/2696.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/2696.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nlies\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3365.mp4"], "audios": ["urfunny2_videos/val/3365.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3365.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3365.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni was in charge of the four which is good because four can't play sports and neither can i\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3367.mp4"], "audios": ["urfunny2_videos/val/3367.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3367.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3367.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand that's what he did\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3371.mp4"], "audios": ["urfunny2_videos/val/3371.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3371.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3371.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand i realized that the stories that i was telling were real in this way that was familiar to me and really exciting\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3372.mp4"], "audios": ["urfunny2_videos/val/3372.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3372.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3372.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit's why in two days people will be descending on dublin to take the walking tour of and see everything that happened in ulysses even though none of that happened\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3374.mp4"], "audios": ["urfunny2_videos/val/3374.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3374.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3374.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\npastel\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3375.mp4"], "audios": ["urfunny2_videos/val/3375.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3375.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3375.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit's this little bit of fiction that's colonized the real world\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3376.mp4"], "audios": ["urfunny2_videos/val/3376.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3376.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3376.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nright it's when an actor will turn to the audience and say i am an actor these are just rafters\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3377.mp4"], "audios": ["urfunny2_videos/val/3377.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3377.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3377.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ncourage according to churchill is the ability to go from one defeat to another without losing enthusiasm\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3411.mp4"], "audios": ["urfunny2_videos/val/3411.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3411.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3411.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe most important thing is to be a mensch\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3412.mp4"], "audios": ["urfunny2_videos/val/3412.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3412.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3412.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nhe surrounded himself with an entourage of young unknown scholars like martin and shai and franz kafka and he paid each one of them a monthly salary so that they could write in peace\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3413.mp4"], "audios": ["urfunny2_videos/val/3413.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3413.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3413.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand this is the great team that helped us make it happen\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3414.mp4"], "audios": ["urfunny2_videos/val/3414.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3414.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3414.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand became one of the first massive open online courses although seven years ago we had no idea that what we were doing is called\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3415.mp4"], "audios": ["urfunny2_videos/val/3415.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3415.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3415.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni never worked harder on anything never been challenged to this degree\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3417.mp4"], "audios": ["urfunny2_videos/val/3417.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3417.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3417.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nmy cholesterol went down i lost weight my wife stopped telling me that i looked pregnant\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3548.mp4"], "audios": ["urfunny2_videos/val/3548.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3548.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3548.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso they think it's actually very deadly\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3549.mp4"], "audios": ["urfunny2_videos/val/3549.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3549.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3549.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou can tell it's her\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3761.mp4"], "audios": ["urfunny2_videos/val/3761.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3761.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3761.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nshe did this on the larry king live show on cnn six and a half years ago\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3762.mp4"], "audios": ["urfunny2_videos/val/3762.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3762.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3762.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthey need to be stopped because this is a cruel farce\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3763.mp4"], "audios": ["urfunny2_videos/val/3763.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3763.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3763.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou've heard of it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3764.mp4"], "audios": ["urfunny2_videos/val/3764.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3764.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3764.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthey might some place out there\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3765.mp4"], "audios": ["urfunny2_videos/val/3765.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3765.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3765.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nlargely it's the media who are to blame for this sort of thing\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3767.mp4"], "audios": ["urfunny2_videos/val/3767.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3767.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3767.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni thought what a great way to get to school\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3820.mp4"], "audios": ["urfunny2_videos/val/3820.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3820.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3820.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso that's an asset because if you've got to deal with the crash protection issues of the automobile forget it you're never going to fly it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3821.mp4"], "audios": ["urfunny2_videos/val/3821.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3821.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3821.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit's often been described because of its fragile nature and its complexity as a series of parts a large number of parts flying in formation\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3822.mp4"], "audios": ["urfunny2_videos/val/3822.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3822.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3822.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand the adage that i'm referring to that applied at that time was that nothing comes down faster than a aircraft upside down\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3823.mp4"], "audios": ["urfunny2_videos/val/3823.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3823.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3823.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe parachutes are there hopefully more for psychological than real reasons but they will be an ultimate backup if it comes to that\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3824.mp4"], "audios": ["urfunny2_videos/val/3824.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3824.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3824.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbut you better be the first one out of town as the real estate values go to hell\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/3825.mp4"], "audios": ["urfunny2_videos/val/3825.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3825.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3825.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand they've actually issued a pilot's license a pilot's license for this type of aircraft\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3826.mp4"], "audios": ["urfunny2_videos/val/3826.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3826.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3826.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nunbeknownst to many of you the highway in the sky that i'm talking about here has been under construction for years\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/3831.mp4"], "audios": ["urfunny2_videos/val/3831.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/3831.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/3831.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthe historian thomas carlyle considered muhammad one of the world's greatest heroes yet even he called the koran as reading as i ever undertook a wearisome confused jumble\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4192.mp4"], "audios": ["urfunny2_videos/val/4192.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4192.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4192.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nyet the fact that so few people do actually read the koran is precisely why it's so easy to quote that is to misquote\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4193.mp4"], "audios": ["urfunny2_videos/val/4193.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4193.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4193.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni knew enough that is to know that i'd be a tourist in the koran an informed one an experienced one even but still an outsider an agnostic jew reading someone else's holy book\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4194.mp4"], "audios": ["urfunny2_videos/val/4194.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4194.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4194.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ngod himself was utterly familiar from his earlier manifestation as yahweh jealously insisting on no other gods\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4195.mp4"], "audios": ["urfunny2_videos/val/4195.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4195.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4195.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthe arabic has an incantatory almost hypnotic quality that begs to be heard rather than read felt more than analyzed\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4196.mp4"], "audios": ["urfunny2_videos/val/4196.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4196.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4196.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit's gardens watered by running streams\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4197.mp4"], "audios": ["urfunny2_videos/val/4197.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4197.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4197.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni remember that scene like it was yesterday i was i was in tears i was in the closet and i'm looking at these two people ferris and some guy i'd never seen before fighting for love\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4208.mp4"], "audios": ["urfunny2_videos/val/4208.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4208.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4208.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni mean when we met i was delivering you from your mother's womb\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4227.mp4"], "audios": ["urfunny2_videos/val/4227.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4227.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4227.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ncan we make a toothbrush into a toy we could combine a toothbrush with a guitar and you've got a toy you can play with while brushing your teeth\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4353.mp4"], "audios": ["urfunny2_videos/val/4353.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4353.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4353.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nnow i throw out the data\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4354.mp4"], "audios": ["urfunny2_videos/val/4354.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4354.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4354.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit's the same in japanese and english\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4355.mp4"], "audios": ["urfunny2_videos/val/4355.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4355.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4355.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit was a big hit when it reached stores\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4356.mp4"], "audios": ["urfunny2_videos/val/4356.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4356.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4356.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso maldives beautiful place\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4542.mp4"], "audios": ["urfunny2_videos/val/4542.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4542.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4542.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nyou there would be a nuclear conflagration about to hit us and if you get under your desk things would be ok\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4586.mp4"], "audios": ["urfunny2_videos/val/4586.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4586.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4586.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nyou have when the blast goes off and by the way if it ever comes up don't look at it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4590.mp4"], "audios": ["urfunny2_videos/val/4590.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4590.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4590.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand in we were the only nuclear power\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4592.mp4"], "audios": ["urfunny2_videos/val/4592.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4592.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4592.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit stands for mutually assured destruction\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4595.mp4"], "audios": ["urfunny2_videos/val/4595.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4595.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4595.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nnow the odd thing is that even though we knew that there would be that kind of civilization we engaged in america in a series and in fact in the soviet union in a series of response planning\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4596.mp4"], "audios": ["urfunny2_videos/val/4596.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4596.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4596.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nmany people including my mother said i was crazy\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/4813.mp4"], "audios": ["urfunny2_videos/val/4813.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4813.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4813.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthis is me with my dad when i was a little boy\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/4816.mp4"], "audios": ["urfunny2_videos/val/4816.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/4816.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/4816.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthat's why this year china will become the world's largest english speaking country\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5048.mp4"], "audios": ["urfunny2_videos/val/5048.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5048.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5048.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ngoal okay religious mania there's rapture there's weeping there's visions\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/5049.mp4"], "audios": ["urfunny2_videos/val/5049.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5049.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5049.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthat joystick is just there to make sure if the robot goes crazy giuseppe can kill it\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5270.mp4"], "audios": ["urfunny2_videos/val/5270.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5270.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5270.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso if i normalize that to its size it's like a boeing traveling ten times the speed of sound\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5274.mp4"], "audios": ["urfunny2_videos/val/5274.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5274.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5274.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit's because they're just reacting to the positions of their neighbors\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5275.mp4"], "audios": ["urfunny2_videos/val/5275.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5275.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5275.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwe've asked well maybe older people are just trying to put a positive spin on an otherwise depressing existence\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5918.mp4"], "audios": ["urfunny2_videos/val/5918.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5918.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5918.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwe've said well maybe older people report more positive emotions because they're impaired\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5919.mp4"], "audios": ["urfunny2_videos/val/5919.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5919.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5919.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwe might learn something unexpected\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5920.mp4"], "audios": ["urfunny2_videos/val/5920.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5920.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5920.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\npeople over don't go on blind dates\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/5922.mp4"], "audios": ["urfunny2_videos/val/5922.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5922.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5922.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthrough cultural changes our ancestors largely eliminated early death so that people can now live out their full lives\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/5924.mp4"], "audios": ["urfunny2_videos/val/5924.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5924.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5924.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nolder people can view injustice with compassion but not despair\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/5927.mp4"], "audios": ["urfunny2_videos/val/5927.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/5927.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/5927.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit is almost physiologically impossible to be in a bad mood when you're wearing bright red pants\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6341.mp4"], "audios": ["urfunny2_videos/val/6341.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6341.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6341.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni have phlebitis at the moment in both legs and that's the reason that i had to have a little help in getting up here because i have parkinson's disease in addition to that and some other problems that i won't talk about\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6392.mp4"], "audios": ["urfunny2_videos/val/6392.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6392.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6392.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nhe didn't have a doctor's degree because he said nobody was qualified to give him one\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6393.mp4"], "audios": ["urfunny2_videos/val/6393.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6393.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6393.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand he was slapping the stewardess and pinching her as she went by and everybody was upset with him\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/6394.mp4"], "audios": ["urfunny2_videos/val/6394.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6394.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6394.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nnow instead of crude tools made of sticks and stones israel now had iron plows and sickles and hoes and military weapons\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/6396.mp4"], "audios": ["urfunny2_videos/val/6396.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6396.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6396.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwe had a two old baby in the house that was ours we hadn't taken it from somebody else\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6554.mp4"], "audios": ["urfunny2_videos/val/6554.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6554.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6554.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthere's some theoretical physicist at mit named steven johnson who has dropped two spots i'm happy to say\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6556.mp4"], "audios": ["urfunny2_videos/val/6556.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6556.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6556.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nour good friend chris has about a six percent but with a bullet i might add\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/6557.mp4"], "audios": ["urfunny2_videos/val/6557.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6557.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6557.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthis is what they think about my site it's ranked by authority\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/6568.mp4"], "audios": ["urfunny2_videos/val/6568.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/6568.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/6568.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwe found another one last month\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/7048.mp4"], "audios": ["urfunny2_videos/val/7048.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7048.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7048.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nmonkeys in the zoo\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/7263.mp4"], "audios": ["urfunny2_videos/val/7263.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7263.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7263.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbut if you look at this the boy is not washing his boots he's putting water into his boots\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/7264.mp4"], "audios": ["urfunny2_videos/val/7264.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7264.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7264.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthey don't sleep in a quiet space\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/7265.mp4"], "audios": ["urfunny2_videos/val/7265.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7265.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7265.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou know it's completely open\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/7266.mp4"], "audios": ["urfunny2_videos/val/7266.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7266.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7266.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso you have to consider safety\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/7267.mp4"], "audios": ["urfunny2_videos/val/7267.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7267.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7267.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nin our we came up with the idea you could use it for a soccer goal so at the end of the game you just roll up the goal and put it in your gym bag\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/7538.mp4"], "audios": ["urfunny2_videos/val/7538.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/7538.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/7538.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni thought that things would be pretty fun and there would be more things to play with\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8021.mp4"], "audios": ["urfunny2_videos/val/8021.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8021.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8021.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso it turned out that my fantasy about an entertaining life of being the wasn't going to come true\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/8022.mp4"], "audios": ["urfunny2_videos/val/8022.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8022.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8022.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni talk to my mother once in a blue moon on the telephone\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/8023.mp4"], "audios": ["urfunny2_videos/val/8023.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8023.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8023.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ncoughs yeah\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8154.mp4"], "audios": ["urfunny2_videos/val/8154.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8154.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8154.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nshe would get really really excited\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8155.mp4"], "audios": ["urfunny2_videos/val/8155.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8155.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8155.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nsplat yeah\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8157.mp4"], "audios": ["urfunny2_videos/val/8157.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8157.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8157.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthey were the ugliest looking men you can ever see\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8554.mp4"], "audios": ["urfunny2_videos/val/8554.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8554.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8554.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand you know koran says that if you learn the holy book the woman they can be a good wife and they can obey their husband\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8556.mp4"], "audios": ["urfunny2_videos/val/8556.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8556.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8556.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit gave me confidence\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/8569.mp4"], "audios": ["urfunny2_videos/val/8569.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8569.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8569.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou'd think with a bunch of smart people we wouldn't be such suckers just for the pretty phones\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8586.mp4"], "audios": ["urfunny2_videos/val/8586.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8586.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8586.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit's fine\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/8587.mp4"], "audios": ["urfunny2_videos/val/8587.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8587.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8587.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthat's the kind of power we have because of all of the data that we have\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/8590.mp4"], "audios": ["urfunny2_videos/val/8590.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8590.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8590.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni can look at your medical records i can see if your pump is still pumping see if you're good to offer insurance to\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/8591.mp4"], "audios": ["urfunny2_videos/val/8591.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/8591.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/8591.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni feel lucky in a way i've encountered this object\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/9328.mp4"], "audios": ["urfunny2_videos/val/9328.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9328.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9328.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni love the fact that he seems to be going off to war having just finished the washing up\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/9329.mp4"], "audios": ["urfunny2_videos/val/9329.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9329.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9329.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso what you would have had were candles on either side\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9338.mp4"], "audios": ["urfunny2_videos/val/9338.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9338.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9338.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou can imagine with this big surface of a board there is a lot of force a lot of power\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9449.mp4"], "audios": ["urfunny2_videos/val/9449.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9449.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9449.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nin years of jumping i never did one\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/9512.mp4"], "audios": ["urfunny2_videos/val/9512.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9512.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9512.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit's not like that electronic abs machine where minutes a month you get washboard abs\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/9514.mp4"], "audios": ["urfunny2_videos/val/9514.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9514.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9514.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit was that girls didn't want them to\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9528.mp4"], "audios": ["urfunny2_videos/val/9528.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9528.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9528.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthere's a way that i think that this too is a sign\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9529.mp4"], "audios": ["urfunny2_videos/val/9529.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9529.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9529.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso i eat lettuce every day and i can tell the ph of a lettuce within\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/9689.mp4"], "audios": ["urfunny2_videos/val/9689.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9689.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9689.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbut it's not unique to japan\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9703.mp4"], "audios": ["urfunny2_videos/val/9703.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9703.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9703.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthey go into the city\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9704.mp4"], "audios": ["urfunny2_videos/val/9704.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9704.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9704.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nwe want to see what people can create so we conceived of a lab that could be shipped anywhere\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9706.mp4"], "audios": ["urfunny2_videos/val/9706.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9706.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9706.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand so inside of this environment we're experimenting with all kinds of things\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/9707.mp4"], "audios": ["urfunny2_videos/val/9707.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/9707.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/9707.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand i said i don't know actually\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10926.mp4"], "audios": ["urfunny2_videos/val/10926.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10926.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10926.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nit's all in english and i'm going\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10931.mp4"], "audios": ["urfunny2_videos/val/10931.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10931.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10931.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nso having experimented in all sorts of remote places i came to the most remote place that i could think of\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10934.mp4"], "audios": ["urfunny2_videos/val/10934.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10934.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10934.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand i explained to them that you know a lot of scientific research is done using that method\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10935.mp4"], "audios": ["urfunny2_videos/val/10935.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10935.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10935.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nof them volunteered immediately\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10936.mp4"], "audios": ["urfunny2_videos/val/10936.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10936.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10936.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nafter watching eight he wants to become leonardo da vinci\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/10937.mp4"], "audios": ["urfunny2_videos/val/10937.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/10937.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/10937.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni probably smell it operating\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/11740.mp4"], "audios": ["urfunny2_videos/val/11740.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11740.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11740.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand i'm going to take you through the architecture of the machine that's why it's computer architecture and tell you about this machine which is a computer\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11741.mp4"], "audios": ["urfunny2_videos/val/11741.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11741.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11741.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthe problem with using binary is that the machine would have been so tall it would have been ridiculous\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11742.mp4"], "audios": ["urfunny2_videos/val/11742.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11742.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11742.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit could do more\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11744.mp4"], "audios": ["urfunny2_videos/val/11744.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11744.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11744.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nall this cog wheel mechanism here is doing is what a computer does but of course you need to program this thing and of course babbage used the technology of the day and the technology that would reappear in the and which is punch cards\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11745.mp4"], "audios": ["urfunny2_videos/val/11745.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11745.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11745.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nnow he needed accessories\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11746.mp4"], "audios": ["urfunny2_videos/val/11746.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11746.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11746.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\none was the scanning of babbage's archive\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11750.mp4"], "audios": ["urfunny2_videos/val/11750.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11750.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11750.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nso give me five years\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11751.mp4"], "audios": ["urfunny2_videos/val/11751.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11751.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11751.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nit's in the northeastern part of ethiopia\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11959.mp4"], "audios": ["urfunny2_videos/val/11959.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11959.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11959.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nfirst entertainment comes evidence from flutes that are years old\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/11960.mp4"], "audios": ["urfunny2_videos/val/11960.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/11960.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/11960.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nor in other words i sometimes say fire needs air\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/12049.mp4"], "audios": ["urfunny2_videos/val/12049.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/12049.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/12049.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nhe said i'll give you a rope to hang yourself\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/12328.mp4"], "audios": ["urfunny2_videos/val/12328.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/12328.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/12328.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand few things give me greater joy than a well designed flag\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13026.mp4"], "audios": ["urfunny2_videos/val/13026.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13026.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13026.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni put this picture online and sure enough within the first few minutes someone left a comment that said you can take that scottish and shove it up your ass\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13027.mp4"], "audios": ["urfunny2_videos/val/13027.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13027.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13027.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nif you need to write the name of what you're representing on your flag your symbolism has failed\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13031.mp4"], "audios": ["urfunny2_videos/val/13031.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13031.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13031.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbut city state and regional flags are another story\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13032.mp4"], "audios": ["urfunny2_videos/val/13032.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13032.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13032.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe first step is to recognize that we have a problem\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13035.mp4"], "audios": ["urfunny2_videos/val/13035.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13035.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13035.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nsh\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13156.mp4"], "audios": ["urfunny2_videos/val/13156.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13156.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13156.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\ni'm going to sing this to bill gates\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13157.mp4"], "audios": ["urfunny2_videos/val/13157.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13157.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13157.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand you see these notes in my hand because i'm also a black preacher\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13408.mp4"], "audios": ["urfunny2_videos/val/13408.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13408.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13408.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand so now over the next months i shifted and i transcended from being a drug sergeant ready to retire as a drug sergeant and went from level to level to level until i find myself as a district commander commander of the worst district in baltimore city\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/13420.mp4"], "audios": ["urfunny2_videos/val/13420.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13420.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13420.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand because we are a proud profession it is very hard for us to look in the mirror and see our mistakes\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/13425.mp4"], "audios": ["urfunny2_videos/val/13425.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13425.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13425.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ntoo much\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/13426.mp4"], "audios": ["urfunny2_videos/val/13426.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13426.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13426.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nthe younger maybe not\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13782.mp4"], "audios": ["urfunny2_videos/val/13782.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13782.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13782.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthe first is physiological\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/13784.mp4"], "audios": ["urfunny2_videos/val/13784.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13784.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13784.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyou can ask the question who's the boss you'll be able to figure that out\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/13988.mp4"], "audios": ["urfunny2_videos/val/13988.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/13988.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/13988.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthis is with a method that we call in my lab graduate student with tweezers\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/14160.mp4"], "audios": ["urfunny2_videos/val/14160.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14160.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14160.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nbasically what it told me was the kinds of countries we prefer are good countries\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/14176.mp4"], "audios": ["urfunny2_videos/val/14176.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14176.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14176.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nwhat does this mean this means that as we go to sleep at night all of us in the last seconds before we drift off to sleep our final thought should be i'm glad that ireland exists\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/14177.mp4"], "audios": ["urfunny2_videos/val/14177.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14177.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14177.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nthey persisted\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/14389.mp4"], "audios": ["urfunny2_videos/val/14389.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14389.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14389.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nyeah it's a wonderful achievement\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/14821.mp4"], "audios": ["urfunny2_videos/val/14821.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14821.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14821.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nback at the start in the first billionth of a second we believe or we've observed it was very simple\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/14823.mp4"], "audios": ["urfunny2_videos/val/14823.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/14823.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/14823.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\ni worked for a fabulously spectacular flame out called\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/15046.mp4"], "audios": ["urfunny2_videos/val/15046.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15046.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15046.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand i said let me just focus briefly on what i wanted as a pick worker or my vision for how it should work\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/15047.mp4"], "audios": ["urfunny2_videos/val/15047.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15047.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15047.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nand sometimes we'll catch them on testimonial videos saying such things as they have more energy after the day to play with their grandchildren or in one case a guy said the zone is so stress free that i've actually stopped taking my blood pressure medication\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "humour", "images": [], "videos": ["urfunny2_videos/val/15050.mp4"], "audios": ["urfunny2_videos/val/15050.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15050.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15050.pt"], "task": "humour_cls", "class_label": "true"}
{"problem": "<video>\n<audio>\nyou were sitting on your couch and you decided that you absolutely had to have this red t shirt\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/15051.mp4"], "audios": ["urfunny2_videos/val/15051.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15051.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15051.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nbut you hit submit order\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/15052.mp4"], "audios": ["urfunny2_videos/val/15052.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15052.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15052.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand that's before we actually tried to deliver it to the home\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/15053.mp4"], "audios": ["urfunny2_videos/val/15053.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15053.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15053.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<video>\n<audio>\nand you might think of this cultural web of life as being an and you might define the as being the sum total of all thoughts and dreams myths ideas inspirations brought into being by the human imagination since the dawn of consciousness\nThe above is a video and audio recording from a conversation, along with a transcript. Does this video segment contain a humorous punchline? Answer with one phrase: humour or not humour.", "answer": "not humour", "images": [], "videos": ["urfunny2_videos/val/15108.mp4"], "audios": ["urfunny2_videos/val/15108.wav"], "dataset": "urfunny", "texts": [], "modality_signature": "text_video_audio", "ext_video_feats": ["pose/urfunny2_videos/val/15108.pt"], "ext_audio_feats": ["opensmile/urfunny2_videos/val/15108.pt"], "task": "humour_cls", "class_label": "false"}
{"problem": "<audio>\nhi i'm ellie thanks for coming in today. i was created to talk to people in a safe and secure environment. think of me as a friend i don't judge i can't i'm a computer. i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential. how are you doing today. i'm fine how about yourself. that's good. i'm great thanks. where are you from originally. i'm from los angeles california. really. me too. what part. why don't we talk about that later. okay. what are some things you really like about l_a. um all my family's here friends. a mixture of people and a lot of things to do. okay. what'd you study at school. early childhood education. nice. are you still working in that. no not right now but i would love to get back into it. why. love working with kids seeing them smile. tell me more about that. um. guess it goes back to when i was a kid uh i like being happy and playful so i guess it just transferred into my adult life. mhm. what's your dream job. working with kids as a school teacher or in that capacity. that sounds really hard. yeah it is but if it's a passion of yours it'll always be fun. that's great. how close are you to your family. i'm very close. sometimes too close. <laughter> can you give me an example of that. um i have four sisters and one brother on my mom's side and on my dad i have. six brothers and four sisters and we're all getting intertwined together so so that's why i say we're too close sometimes. wow. <laughter> i see what you mean. do you consider yourself an introvert. no. why. i have a lot of friends to interact with and uh we're always doing different things so that's why i say i'm not. okay. what do you do when you're annoyed. curse. mhm. <laughter>. just let it out. okay. when was the last time you argued with someone and what was it about. a couple days ago my nephew. didn't call me back. aw. how did you feel in that moment. um kinda mad 'cause i had set aside some time to spend with him and he just blew it off and didn't call me back. yeah. that sucks. yeah i know. how are you at controlling your temper. mm i'm okay. okay. hmm. what's one of your most memorable experiences. when my mother passed. i'm sorry. tell me more about that. uh it's been about. five years now to the day. mm. so. it's it's getting better. time makes it easier. that's good. do you feel down. a lot. 'cause there's a lot of things that make me think about her in a daily basis. yeah. like what. anything uh driving by a particular. restaurant that she likes uh watching different t_v shows. just anything that could trigger a a memory. of my mom. yeah. when was the last time that happened. yesterday. hmm. how do you cope with them. uh think about the good times and. i don't stay in that place too long just. go ahead and think about it and move on. yeah. have you been diagnosed with depression. mm not officially but i think i might be depressed. tell me more about that. well. i mean since my mom passed it's been kinda rough. and then um. job situation is not stable here in california so that has a lot to do with it as well so. that sounds really hard. yeah it is but. have you noticed any changes in your behavior or thoughts lately. kinda sort of kinda just to myself. reserved. mhm. do you have disturbing thoughts. mm not really. okay. how easy is it for you to get a good night sleep. it's pretty easy. what are you like when you don't sleep well. grumpy irritable. fidgety. just a big ball of nerves. mm. do you travel a lot. uh what do you mean. whatever comes to your mind. uh i guess so yeah i like to travel. what do you enjoy about traveling. meeting new people. different locations scenery. uh different opportunities to try something new in a new location. awesome. i'd love to hear about one of your trips. uh just came back from memphis about three weeks ago. go and see family and friends uh it was pretty nice got a chance to. mhm. see um. something new. cool. change <cha> change of scenery. yeah. what advice would you give yourself ten or twenty years ago. wow. stick to the plan and don't. veer off to the left or right just go straight ahead. what made you decide to do that. um. just different circumstances in life that. gradually pushed me towards the left and the right. there are always trade-offs in life aren't there. every day. is there anything you regret. uh a few relationships not staying in school. um. missing out on great opportunities with employers. mhm. how would your best friend describe you. um funny. loyal. spontaneous. life of the party. how do you know them. grew up together in the same community. went to school together high school friends. who's someone that's been a positive influence in your life. uh my big sister michelle. uh my friend troy. um. i mean there's others but those two uh no matter good or bad they're always. in my corner for me. yeah. that's so good to hear. thank you. when was the last time you felt really happy. yesterday <yester> yesterday celebrated a birthday. aw. that's great i'd love to hear all about it. oh it was just a little small intimate. setting. cooked a a meal had family and friends over. listened to music watched movie talked. about the old days when my mom was here and when we were all one union. so it was just a nice evening. yeah. that's good. okay i think i've asked everything i need to. thanks for sharing your thoughts with me. thank you. goodbye. bye bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/302/302_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/302/302_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/302/302_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\nhi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment think of me as a friend i don't judge i can't i'm a computer. i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential. <laughter>. where are you from originally. um moscow. really. why'd you move to l_a. um my family moved to the u_s and then i moved down here eventually for college. how easy was it for you to get used to living in l_a. uh it took a long time to i've been living here for about a year since i graduated so there's been a lot of ups and downs but finally gotten adjusted to it so it took a while though. that's good. how do you like your living situation. it goes off and on i have two roommates and there's always a little bit of drama here and there between. [laughter]. the girls but for the most part after a year and a couple months i think we finally learned how to live together but it was pretty much like a reality t_v show for a while. yeah. how do you know them. one's from college and the other one we found on craigslist. how close are you to them. it varies depending on whether or not we're mad at each other so um. i guess pretty close. right now we're kinda distant. aww. tell me more about that. oh about the distant. yes. okay um well we  haven't seen each other we haven't hung out in like two weeks. 'cause one of them got into like this car accident and um so she's been distant since then and kinda locks herself up in her room. uh oh. and the other one is always working late so we just our our scheduling has been off and no one's really made an attempt to hang out with anyone so it's kind of. we're just waiting for someone i guess to make the first move. yeah that sucks. it's okay it'll get better. yeah. how are you at controlling your temper. it depends with whom. i'm. dealing with i guess i would say with some people i guess with my family not very good my boyfriend it's not very good. but with other people that i might not know so well then i'm able to control it a little bit more but it'll be more passive aggressive than like full on anger. why. oh 'cause i don't want them to see me as a bitch [laughter]. [laughter]. that makes sense. yeah. who's someone that's been a positive influence in your life. uh probably my best friend nicole. she's probably been we've been best friends for like. god since high school freshman year of high school is when we first met so long time so yeah. wow. um. can you give me an example of that. of. of what. how do you know them. uh my friend nicole. yeah. um we met in french class freshman year of high school. we were in the same class and then we kinda started doing homework together and we had a lot of class the same classes together and so we just kinda started hanging out and then we just became closer and have stayed really close since then. nice. mhm. what are some things you like to do for fun. um. uh going out with friends going to bars going dancing biking hiking. staying active um going to the movies going out to eat at restaurants uh photography. um. just hanging out with friends i guess. whatever. okay. how close are you to your family. uh. it varies like i'm really close to them when it comes to things about like school work um. those kinds of. things but when it comes to relationships and friendships and more personal personal things. i don't really discuss that with them. mm. so i guess superficially close. okay. but i rely on them a lot so we're close i guess. that's good. mhm. what are some things that make you really mad. uh that's a good question um i guess it depends who it is again. i guess people who are inconsiderate unthoughtful flakey ignorant. and. uh. conceited [cons] uh yeah i guess those kinds of people and when people just um. what makes me mad that's a good question i guess a lot of things make me mad [laughter]. but it's mostly how people react to um different situations can make me angry i guess. yeah. when was the last time you argued with someone and what was it about. uh yesterday. and it was my boyfriend and we argued because he's trying to be healthy and workout and save money. and so and. so by doing that what he does is he orders pizza in so he's not saving money and he's not being healthy. and so i got frustrated with him 'cause i'm constantly trying to push him to be healthy and each time he's like i'm gonna do it i'm gonna do it so he's constantly breaking promises that's another thing that makes me angry is people that don't follow through. [laughter]. yeah. do you feel that way often. about other people or about myself or angry. whatever comes to your mind. xxxx [laughter]. um. angry i guess i'll go with that no i don't feel angry often. okay. what's your dream job. dang it. that is a tough one how 'bout just getting paid to be me. um i don't know that what i'm kind of trying to figure out right now 'cause i quit my full time job 'cause i hated it it was just mostly sitting in an office all day which i thought was extremely boring. so now i work in a restaurant job and i'm trying to look for a second job to support myself um. my dream job. i don't know what it would be but i know it would involve people and i'd love to have some kind of like finished product or some kind of accomplishment towards the end. i guess it's something that i realized. i like to see. the result from all my hard work 'cause i majored in sociology and as much as i loved that major is you realize it's a whole lot of theorizing and arguing but with no real solution so it's just like at the end all you have is just these theoretical elements that you can't really do anything with and nothing to show for your work except for a piece of paper with your essays or notes so. mhm. yeah. something to do with people and maybe something artistic i love photography. i love cooking baking in particularly so i don't know something. in that. realm i guess. okay. do you travel a lot. i used to travel a lot my family is known for traveling we've gone to. gosh seven eight different countries i've lived in three or four different countries. wow. i haven't traveled a lot lately just because i have no money and jobs kinda tie you down but i would love to have that. i guess my dream job would be a photographer that for national geographic that would be awesome. yeah. um or a huge photographer that travels that'd be awesome too but anyways um yeah i do travel a lot. what do you enjoy about traveling. in the new places new faces new experiences i get restless very easily so it's nice to constantly be on the move and. see different things and see different cultures and types of people and just not get stuck in the same routine i hate the routine and mundaneness of everyday life so it's nice to. stir things up. i see what you mean. i'd love to hear about one of your trips. oh gosh okay um. i'm trying to think. one of my trips. i guess we can talk about i don't know it's funny even though i've been to lots of different countries one of my most memorable memorable trips is. one of the trips that i took with my family i was a three week roadtrip with my family there's five of us packed in a tiny little station wagon. oh my gosh. i know needless to say it's like when you're that close proximity for three weeks camping you start getting on each others' nerves but it was really fun and like even though i've traveled so many places. i realized that there's like such a beauty in the american landscape and so we were all around the southwest and the grand canyon to zion to the grand tetons to yellowstone and it was absolutely amazing just seeing all that natural beauty so. um. and we saw a grizzly bear black bear lots of bison a wolf and it was really cool those kinds of i don't know natural wonders also really amaze me 'cause those things aren't man made. and as as pretentious as it sounds after a while europe kinda gets not old but it's like you know you get the same idea like. white old white men building great buildings and art work and it's beautiful and all but like you just kind of like okay i wanna see something that's natural and beautiful. or something that's different too. yeah. i see what you mean. cool. how easy is it for you to get a good night's sleep. um. pretty easy as long as I. get well no i always sleep so easy. what are you like when you don't sleep well. oh grumpy and just very lethargic and just low energy don't say much and just kinda off in my own world. do you feel that way often. i not not anymore i usually get enough sleep and i've been working out more so it's kind of. energizing me so no it's not too bad. that's good. have you noticed any changes in your behavior or thoughts lately. uh i guess i've just been more negative but it has to do with like circumstances kind of like uh it's been about five months since i quit my full time job haven't found anything else haven't really found anything else i'm interested in. so. it's more of just like ugh what am i doing da da da that kind of thing. yeah. it can be tough to find a good job these days. yeah it's it is hard the market and just like i'm very picky 'cause i don't wanna just sittin in a little my own cubicle 'cause i quit my job exactly for that reason so why go back to another job just do the same exact thing that i quit my other job for. mhm. so it's just like i have to make it worthwhile that i quit my last job to get a better job so it's just kinda like i'm stuck in this section of just like living paycheck to paycheck. barely making it and just waiting for the right opportunity to come across but it's like. when do i give up and sell my soul and go back to the corporate world of sitting in little cubicles i don't know. that sounds really hard. yeah it is hard but i mean i guess everyone goes through that same situation after college so. but i guess it's tough 'cause a lot of my friends 'cause i went to a pretty good school and you know i have a friend who's teaching english in afghanistan and i have another one who's met the president you know and one that's doing teach for america another friend who's in harvard uh school for like harvard masters [mass] you know getting her masters so it's kind of like ahh. all that comparison and then here i am working a little restaurant job so. yeah. do you feel down. uh i do sometimes yes but i'm going to hawaii next week so right now i'm fine [laughter]. nice. yes. but yeah usually it's been kind of like down because. i'm just trying to find like what. i'm supposed to like you know what do i want to do next and like money situations which is very stressful especially when you have school loans to pay off insurance rent car loans like it's just groceries like i can't even afford groceries. so it's just hard to like live this way especially after you've paid so much money for like an amazing college education so it's a little bit frustrating but there's a lot of people in the same situation. yeah. i'm sorry. it's all good. have you been diagnosed with depression. uh no i don't think so but i mean. i think everyone goes through depression here and there so i don't know if you can. but not like medically diagnose i'm not on meds. okay. have you ever been diagnosed with p_t_s_d. nope. have you ever served in the military. nope. okay. what advice would you give yourself ten or twenty years ago. oh let's see. uh to try lots of different things and not be afraid to fail. 'cause i'm one of those people if i'm not gonna be the best at something then i'm just not gonna try i accept the best or nothing at all go big or go home. so but i think i would've told my high school self that go and try lots of things even if it means i'm not gonna be the best at it. so. ten years ago. like what. well that would've made me like twelve so. [laughter] um i used to do a lot of things i i used to act. i think i would've continued doing that i used to write a lot when i was younger i used to write miniature like little stories  short stories for my parents all the time. and i kind of stopped doing those things 'cause it's like oh i'm not good at it so i'm not gonna do it. and i think if i just continued doing those things and tried you know different classes. um i don't know different sports i kinda just stuck with soccer growing up i don't know just. expand myself more rather than like find something i'm good at and just stay with it but never really try harder. kinda just like stay i always kinda stayed at one level but once i'm good i just stay for good. i don't try to go above that. if that makes any sense. yeah. yeah. what do you do to relax. uh right now it's super lame but i watch t_v. [laughter]. but i used to read a i used to read on my off time or just listen to music or just take a nap. or bake but now it's just like since i'm on my feet all day and like constantly interacting with people i just kinda wanna unwind by like sitting and lying on the couch and being like i'm done. so. yeah. what's one of your most memorable experiences. [laughter]. that's a tough question. um probably the day i got accepted into pomona college. um. i was a freshman at wellesley college which is the women's college back east. and i hated it from like the second from like the first week i just knew that i chose the wrong college and i was like miserable for the entire year. aww. and i only only applied to one school to transfer pomona college like that's out in claremont. and um. i didn't think i was gonna get in and i was 'cause it was like a four percent acceptance rate and i was like what are the chances like this is ridiculous i don't think i'm gonna get in. and i was like you know the thought of going back to wellesley was super depressing. mhm. um. but then i got an email from one of the admission counselors that i had met when i was visiting pomona and he was like hi tatiana like. um. just wanted to see if you had any last minute questions about pomona hope all is well. and i was like why would he be emailing me the day we find out if we got you know accepted or not. um unless i got the acceptance and so sure enough a couple hours later i got the email that i was accepted into pomona and i was ecstatic that was like that best day of my life i was so happy. that's probably one. that's great. yeah. it was awesome then i took my mom and my little brother out to dinner and i went and bought myself some new dresses went and just like went crazy dyed my hair pierced my nose i was like let's start this whole thing over so [laughter]. awesome. yeah. how would your best friend describe you. bubbly. fun. maybe moody you never know what you're gonna get sometimes um. [laughter]. probably. uh definitely friendly. um and pretty like a positive person. um. but sometimes maybe a little bit. aggressive but. for the most part i think positive things i mean she's my best friend so [laughter]. okay. when was the last time you felt really happy. huh. really happy. oh when i was in mexico. over winter well. no i don't know. my boyfriend took me on a sailing trip down in. san clemente and that was really fun and we just like went sailing and walked around the missions hung out on the beach that was really fun. that was a good time. that sounds like a great situation. yeah it was cool. okay i think i've asked everything i need to thanks for sharing your thoughts with me. goodbye. [laughter] bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/307/307_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/307/307_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/307/307_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\nhi i'm ellie thanks for coming in today. i was created to talk to people in a safe and secure environment. i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started. and please feel free to tell me anything your answers are totally confidential. are you okay with this. yes. okay. so how are you doing today. okay. that's good. where are you from originally. connecticut. really. why'd you move to l_a. um. to be an actor <laughter>. how did you decide to do that. well i moved to san francisco in ninety four and then i moved to atlanta in ninety six and then i moved out here to be an actor and i became a realtor instead. what's your dream job. um to be on a t_v show an actor. how hard is that. it's pretty hard to get discovered and uh. you have to be lucky and you have to know the right people and you have to be talented. yeah. that sucks. <laughter> yeah. do you travel a lot. not really no i don't travel that much i used to move um every couple years to a different city and then i've been here for a while so i don't travel much. okay. what are some things you really like about l_a. the weather. um there's always something to do. and um. that's pretty much it <laughter>. okay. what are some things you don't really like about l_a. um. the people here tend to be a little more rude. and um it's just always a fast pace. yeah i see what you mean. how easy was it for you to get used to living in l_a. well when i moved here i was twenty five so it was a lot more fun because when you're young in the city you can have a lot of fun. and then i got into the real estate and did really well for a while and then the market crashed and so now i'm old and i'm not making any money so times are tough. aw. i'm sorry to hear that. do you consider yourself an introvert. no no i'm much <mu> much of more <m> more of an extrovert. okay. what are some things that make you really mad. um. when i don't get what i want <laughter> and um. rude people. and um. just inconsiderate people. okay. how are you at controlling your temper. i'm pretty good um at controlling my temper when i'm not uh like if i if i drink alcohol it'll make my temper go worse but uh <ss noise> when i don't drink i'm pretty good at controlling my temper. okay. when was the last time you argued with someone and what was it about. uh the last time i argued with somebody was. somebody that owed me money. okay. where do you live. uh i live uh in west hollywood. cool. do you have roommates. no no no i live alone i have a dog. aw. how do you like your living situation. it's good i mean i don't like my neighbors i hate my neighbors but the ones upstairs just moved out so that's good news hopefully the ones that move in are not that noisy and the ones below i just can't stand because they argue with me. why. huh. why because they 'cause my hardwood floors they say that. eh i've been there for ten years and they still argue about the noise of me walking on my hardwood floors. oh. that sounds really hard. yeah. who's someone that's been a positive influence in your life. what was the question. who's someone that's been a positive influence in your life. my mother has been a very positive influence she's always kept me on track. she lived with me for the last ten years until she recently moved to rhode island to live with my brother. wow. how close are you to your family. very close to my mother um not so close with my brother mm we're close but we're not like close close. uh huh. um. so i mean we love each other we just don't really understand each other all the time. okay. i understand. how would your best friend describe you. outgoing um. life of the party. ambitious um. and sometimes cut-throat. what are you most proud of in your life. um <psh psh> what am i most proud of. being always able to get through the things i need to get through to get to where i wanna be. that's great. what would you say are some of your best qualities. i'm generous i'm loyal. uh i'm friendly. i'm accommodating. and um. that's about it. okay. have you ever served in the military. no. have you ever been diagnosed with p_t_s_d. yes. how long ago were you diagnosed. uh about four years ago. what got you to seek help. um i well i had <ha> i was beaten up and i had uh identity theft. and uh you know i was just afraid to go out so i needed to get over that so after spending one year in in my home without leaving. um and just depressed all the time i i said i have to get out and start talking to people and so i did. yeah i'm sorry to hear that. thank you. how have you been feeling lately. um okay i'm panicky about the job situation. um you know 'cause my bills are pretty high and i don't really have a steady income right now. uh huh. so uh that's what's worrying me the most is my uh financial situation. that sounds really hard. yeah. have you noticed any changes in your behavior or thoughts lately. um. yeah i mean. well basically it's like um i just recently quit drinking all together so i don't drink anymore so i'm noticing. that's great. yeah i mean it's good 'cause of number one i don't have the money and number two i don't like the way i act when i drink. mhm. um so so that's a positive thing but well the when i was drinking it helped me just forget and numb myself. now i have to feel through the feelings which is pretty good 'cause i can talk my way through them so i guess i'm evolving. that's good. have you been diagnosed with depression. uh yeah a long time ago um you know i've taken many medications here and there and um. they really some of 'em would numb me some of them would. make me feel hyper so i've recently decided to <t> in the last six months three to six months just to not take anything so i don't take anything i barely even take an aspirin. just to get my body to a to get my body to a normal state. how hard is that. yeah. did you think you had a problem before you found out. um not really. what were your symptoms. always worrying just a lot of worrying always worrying worrying worrying about everything oh what happens if i get in car accident what happens if i can't pay my mortgage what happens if i. eh eh just so many things i worry about and that's what was making me depressed. yeah. do you feel like therapy's useful. i do. at some point i've had. some good therapists and i've had some bad therapists. um i tend to like the ones that talk back to me. and kinda give me some guidance as opposed to the ones that just listen. mhm. and then they just say okay your time's up so and just prescribe me medication so i think i'd be better with a psychiatrist <psychia> psychologist as opposed to a psychiatrist. yeah i see what you mean. what sort of changes have you noticed since you've been going to therapy. um. well i'm not going to therapy now but. the therapy that i had before um. was more like people trying to uh just come in and check in and give me medication. um i have had other therapy where i was back and forth like okay well this is what i think about this and you think about this and that kind of therapy is better. mm. why did you stop. um i just. i wasn't getting the right therapists recently. so um and i knew the the root of my problem was the drinking 'cause it's a depressant so. mhm. mm you know stopping the drinking is definitely made me have a much clearer mind and just to work through things myself you know. yeah. okay. tell me about something you did recently that you really enjoyed. um. i can't really think of anything right now. okay. when was the last time you felt really happy. um. it's been a long time i can't really think about a time when i felt really happy. i'm sorry to hear that. thank you <sniffle>. what's one of your most memorable experiences. um. okay when i was a kid. um. i had a a little dog and this big dog came and and attacked it and killed it. so then a little while later my father. came and he says to my brother and me we were kids go to the car there's two packages in the car so go get them. so i was like yeah yeah yeah yeah 'cause i never listened to my parents so i was just like a spoiled brat but finally he said go to the car what's that. <laughter>. <laughter>. oh okay he said go to the car and get this out of the car so i finally went and when i opened the door there was a new dog and a bag of dog food so that's one of my memorable esperiences. wow. that's great. yeah 'cause i'm an animal lover so. yeah. is there anything you regret. um. just the way that i've treated people before when. i was hurting i was really mean or rude to people. when i felt like you know i was hurting i had to hurt everybody around me so um but when <wh> ever since i stopped the drinking i don't do that anymore so. mhm. so i think the problem is is the drinking and so now that i've let that go uh 'cause i was doing it for the wrong reasons you know i was doing it to not not feel i wasn't doing it to be sociable. that's good. yeah. what advice would you give yourself ten or twenty years ago. get in a career that is really stable. like uh eh you know like a a doctor or a nurse or an attorney. something that you know or in advertising i should've gone into that a sales position is it could be very well and very good or very bad so. you always have to be on it in sales you can make a ton of money in sales but when you make your money save your money don't go spend it on extravagant things. yeah. that makes sense. what are some things that usually put you in a good mood. um when i have a job when i when i'm able to work. uh when i'm helping other people. uh when other people around me are happy and laughing when i can make people laugh that that puts me in a good mood. that's great. okay i think i've asked everything i need to. okay thank you. thanks for sharing your thoughts with me. you're welcome thank you. goodbye. bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/331/331_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/331/331_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/331/331_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\nhi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment. i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started. and please feel free to tell me anything your answers are totally confidential. are you okay with this. yes. okay so how are you doing today. i'm okay. that's good. where are you from originally. uh i'm from here originally los angeles. really. mhm. what are some things you really like about l_a. um i like the weather. uh huh. and my family's here which is why i'm here i moved away for a while. aw. uh i like that there's a lot of. culture <cult> even though everyone says there's not culture in l_a there is a lot of culture there's theater and film and lots of museums and things like that all different kinds of people i like the diversity. yeah. mhm. what are some things you don't really like about l_a. um. well i don't like that i had to move back kind of against my will <laughter> so starting a new career. uh starting over in my career it so that's not really something. can you tell me about that. uh well i moved back 'cause my dad was sick. so. i'm sorry to hear that. thank you. thank you. so that's why i'm here but it also means i live with my dad and my brother who are like hoarders and ridiculous so. <laughter>. uh. what'd you study at school. acting. theater. that sounds interesting. it was. are you still doing that. mhm. yeah. yeah i am. what do you do now. i'm an actor i uh right now i'm doing a a theater show and auditioning and taking some classes and. that sort of thing. how did you decide to do that. um well my parents are both. artsy people and i grew up around it and for a long time i was singing and then uh i was went to study musical theater. and somewhere along the lines i realized that acting was more my bag than singing i suppose but i still do both. that's great. mhm. do you consider yourself an introvert. no i don't. why. uh i don't usually have trouble talking to people uh i'm pretty friendly. i can get along with most people people usually tell me their secrets within five minutes of meeting me which i feel is a mark of an extrovert <laughter>. <laughter>. yeah. what do you do to relax. <laughter> um. i take a bath or read a book. uh go out with my friends. go to the theater. uh. eh sometimes my work is very relaxing so sometimes just like singing a song or any of that going for a walk. okay. mhm yoga. what are some things that make you really mad. things that make me mad um. injustice <laughter> i can be very righteously indignant i suppose um. people who don't see those things and people who've who have a like entitlement i think entitlement and sense of privilege that can make me mad. yeah. yeah. what do you do when you're annoyed. uh. it depends i usually <usual> a lot of times it's i argue my case <laughter> i guess <laughter> um or i i call my best friend usually and complain. talk to her about it. okay. how are you at controlling your temper. pretty good pretty good i don't have too much of a temper. when was the last time you argued with someone and what was it about. um. like a real argument or like a debate. uh huh. <laughter> um. if was a real argument it probably would be my ex-boyfriend and we just argued about why we broke up stupid things like that. that sounds really hard. eh i think i was kind of. over it by then but. it was at times. okay. <laughter>. when was the last time you felt really happy. um. the last time i felt really happy. was. like really happy. probably hanging out hanging out with friends the other night i had a good time. tell me more about that. uh. scrubbed_entry. aw. that sounds like a great situation. it is it's nice. it's nice. how would your best friend describe you. my best friend would describe me as an open book she often makes fun of me for like just telling everyone everything um she would describe me as. uh compassionate. and. uh having a a strong sense of who i am. i think. that's good. yeah she also she would describe me as not having like a good sense of social norms sometimes probably that's something that she. why. makes fun of me for um because i do just like tell everyone everything and don't realize that i have like holes in my clothes and things like that but nothing. nothing bad we have a very good relationship. has that gotten you in trouble. hmm. has that gotten you in trouble. yeah yeah it has <laughter> not terrible trouble but but yeah it's gotten me in trouble before sure. okay. have you ever served in the military. no. i haven't. have you ever been diagnosed with p_t_s_d. no but i think i had it. but i never went to a doctor. why. um 'cause i had a i had a traumatic situation uh where somebody injured me. and i. i feel <fe> when i looked up p_t_s_d later i realized <reali> i felt like i had all of the symptoms of like going back into situations like that i would get panicky and um it was very. uh i held on to it for a really really long time. uh huh. i think um. i think that i did have it but i just i don't know 'cause i never i never saw anyone about it. oh no. i'm sorry. are they triggered by something. um. sometimes yeah uh. certain physical things with that part of my body can be a trigger or um. it happened in a in an acting class. so sometimes certain teachers if they. criticize in a certain way. i start to i start to panic even if they're totally right and i know they're right and like it's something that. someone else could tell me and i'd be fine with it eh sometimes it'll make me a little upset or panicky yeah. i see. have you been diagnosed with depression. no. how have you been feeling lately. well i mean my dad is sick so not great. yeah. but um but considering not terrible. that's good. have you noticed any changes in your behavior or thoughts lately. um i've been having bad dreams. uh. tell me more about that. uh just like stress dreams i think having to do with my dad. um. uh huh. like getting kidnapped or my teeth falling out things that if you looked them up always say like there's something out of your control which is like exactly what it is so. that sucks. it's not the best but it's just dreams at least so. do you feel that way often. which way. let's come back to that later. okay. how easy is it for you to get a good night's sleep. easy very easy. what are you like when you don't sleep well. i am tired and maybe somewhat irritable goofy i get really goofy. <laughter>. yeah. okay. what would you say are some of your best qualities. um. i. am fairly non-judgmental. of other people i i i stay open-minded. uh i can make most people laugh i'm funny. uh creative. um. i. yeah those are some of the best ones i'd say. okay. do you travel a lot. yeah. what do you enjoy about traveling. i love meeting new people and seeing new things and learning uh and just getting out of the routine i like staying in hotels uh i like most things about traveling i even i even like flying i like all of it. i'd love to hear about one of your trips. well i just finished a tour a couple months ago um going up and down the east coast and then across the u_s and uh performing for kids all over. wow. yeah and then we ended here in l_a. are you happy you did that. yeah yeah it was great it was a good time. awesome. yeah. what's one of your most memorable experiences. um. lemmi think we. we went to. the hot springs the naturally occuring hot springs in colorado and that was really nice that was a nice way to unwind. that's good. yeah. who's someone that's been a positive influence in your life. a lot of people i i would say. um i mean my dad comes to mind certainly. uh my godmother is a huge positive influence in my life as well. uh my best friend my best friend from high school i think i uh some <so> a few of my best friends from high school um and college that i've kinda grown up with and. become who i am with them. uh huh. yeah. that's great. mhm. is there anything you regret. uh small things sure. can you give me an example of that. yeah. uh. i regret. the way that i dealt with. a friendship that was ending once uh i regret. committing to certain people that i've dated. uh. but nothing huge i i tend to go well i won't do that again but i don't spend a lot of time. like being upset about things i've done in the past. okay. what advice would you give yourself ten or twenty years ago. hmm. stand up for yourself. um. tell me more about that. <laughter> don't date felons <laughter> uh. tell me more about that. i think that i. i don't have any trouble standing up for things that i believe in but sometimes i have trouble standing up for myself. i think i i really internalize the idea of like. you know women being too needy or uh or um. i don't know those kinds of things and then xxx and so as as an adolescent and growing up i felt like well you then you just shouldn't need anything or you're needy and it took me a while to be able to like voice what i want what i needed from other people and be okay with that. uh huh uh huh. and it's still something i work on. that makes sense. that makes sense. that makes sense. <laughter> i'm glad you think so. that makes sense. what are you. that makes sense. what are you most proud of in your life. um. <sigh>. that's a good question uh. my friends and family. and uh. i my talents. i would say. yeah. that's great. yeah my ability to take situations and. take bad situations and continue and. uh make the best of everything. mhm. okay i think i've asked everything i need to. thanks for sharing your thoughts with me. alright. thanks for sharing your thoughts with me. <laughter> thank you. goodbye goodbye. goodbye goodbye <laughter>.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/335/335_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/335/335_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/335/335_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\nhi i'm ellie thanks for coming in today. i was created to talk to people in a safe and secure environment. i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started. and please feel free to tell me anything your answers are totally confidential. are you okay with this. yes. okay. so how are you doing today. i'm okay. that's good. where are you from originally. here in los angeles. really. what are some things you really like about l_a. there's a lot of things to do i love the beach. um i love the i love that it's sunny all the time. mhm. what are some things you don't really like about l_a. um the amount of people. um. that's really about it the amount of people. yeah. i see what you mean. do you travel a lot. just a little. what do you enjoy about traveling. i just like um going to new places and just discovering new things. i'd love to hear about one of your trips. um i recently went to new york i was there for about three months. um and it was extremely boring i went to western new york. um and it was extremely uh snowy and um. i didn't <didn> was in a position where i didn't have a car so i didn't get to go very many places and i was in a small town. so um. i uh. uh it was beautiful for what i got to see but really. it wasn't really much to it <laughter>. that sucks. yeah. do you consider yourself an introvert. um. both i'm both an introvert and an extrovert. tell me more about that. um. i really enjoy doing things by myself. um. mhm. i um have a lot of my own um my likes and dislikes and i've spent a lot of time alone even though um i have <ha> i do have a lot of friends. and uh when i do go out i i do tend to meet a lot of people but um i also enjoy um being by myself a lot. okay. how would your best friend describe you. um. probably outgoing creative. um. talented. um fun trustworthy. cool. what'd you study at school. um. i studied language um. and um physics. and um. math. are you still working in that. no i'm not. i'm actually um. what do you do now. i'm um i'm trying to be an actress. how did you decide to do that. it was something that i fell into when i was a teenager. scrubbed_entry. and uh i really enjoyed doing it and i hadn't done it for years um. so i figured why not i just came back to california and might as well try something that i did enjoy really doing. that sounds interesting. are you happy you did that. um so far um i just got picked up by an agent. so i haven't really done anything yet as an adult. but um. i'm hoping. hoping something it'll be fruitful. yeah. who's someone that's been a positive influence in your life. um. <sigh> i really don't haven't had too many. um. i guess my sister she's done really well. um. my boyfriend he's a. he's a very positive human being. um. but um. really i haven't had too many positive influences. how close are you to your family. um. i'm close i mean we <w> we hang out um i i don't tell them everything. um they're kind of judgmental. but um. other than that i mean i mean we hang out i mean i see them every day. that's good. what do you do to relax. um. geez. um. it's kinda hard for me to relax um i mean i try to watch t_v. um and i read. a lot um. that's probably about it i read i do a lot of sleeping <laughter> i'm a little depressed so um. yeah it's kinda it's xxx like i said it's really hard for me to relax. how easy is it for you to get a good night's sleep. um. it isn't. um i tend to think a lot. um about the things that stress me out. um i've been through a lot of a lot of stuff so um. yeah so i i don't i don't i don't sleep very well at night and if i do fall asleep i wake up all through the night usually with some kind of anxiety attacks. are they triggered by something. um. i dream a lot about um the stuff that has uh. has affected me throughout the years so um. it's usually you know like i i'll dream about something that stressed me out and then i'll wake up and my my chest'll hurt. um. or just i just can't sleep all night because i just think i seem to be i don't know if i'm afraid to go to sleep. but i uh <sigh>. i just i don't know i feel like that <th> that's a vulnerable place for me. because of stuff that've happened to me. yeah. so um. i i so i sleeping is just not really something i do well. okay. what are you like when you don't sleep well. um. tired. i'm uh. i'm moody i'm very sensitive. um. i uh i'm just negative <ne> a negative person. um which really that's not me um. i uh yeah i'm like <l> judgmental is not me either um i just. i'm just not a not a nice person to be around. how do you cope with them. um. i try to <t> i i spend a lot of my time reading i try to go out and do um i force myself to go out and do things um. just to keep myself involved. um so that i don't uh sit <si> just sit around and and and dwell on the fact that i can't sleep and i i try to um get myself as exhausted as i possibly can. um by running around and and and doing things. so. mhm. how hard is that. um it's difficult. um i do like there is a part of me that doesn't wanna. i don't really wanna go out and do things i have to actually force myself to um if i have make appointments i uh. i make appointments to like for auditions or or um. even to do this i um i i tend to uh. just not. like at the last minute i'll i'll try to convince myself not to go <laughter> but then i force myself to anyways. yeah. i see. have you ever been diagnosed with p_t_s_d. yes. how long ago were you diagnosed. um i've been diagnosed for two instances. um i was diagnosed <dia> diagnosed about three years three and a half years ago. and then i was diagnosed again um in august. what got you to seek help. um. the first time it was um. i just wasn't sleeping <sl> because of the not sleeping um. and the uh just the stress <st> the unbelievable stress. uh huh. um. and then the second time it was a xxx uh once again i started with the not sleeping um and then every moment of the day was just thinking about what happened to me um. and i just i i just couldn't take it anymore. so i i figured um. i was getting too gloomy i was getting like um. not thinking life was worth it and and i i i that's i just needed to see somebody before anything escalated. yeah. that sounds really hard. yeah. it was. do you still go to therapy now. i no <n> do not. why did you stop. um one of the reasons i went to new york was to try to um. get out of my environment. um. and uh. and that seemed to help a lot. um. uh huh. and uh out here i i was i just the counselors that i was going to just didn't really seem to be helping me much. um they just. i'm sorry to hear that. they just seemed to be giving me a lot of medications and i don't believe that that's what i needed. um. yeah. yeah so um. yeah. how have you been feeling lately. <sigh> stressed um uh lately i've been really sad and i don't know why. um. but like i said i've been trying to combat that by um. keeping myself busy. that's good. when was the last time you felt really happy. um. actually um. i'm kind of. a couple days ago. i was actually really happy and i was genuinely happy. um but then i went back to. being you know going back to feeling miserable. so. can you tell me about that. um. well i realized. i got up in the morning i actually did get a good night of sleep. and um. i realized uh that i'm actually really lucky. um 'cause i've been through a lot in my life and i have um somebody in my life who really loves me and somebody who um is finally there for me. and uh. you know he gives me what i need emotionally and i was just really thankful for that. and that made me really happy. um. that's so good to hear. yeah. thank you <laughter>. what are you most proud of in your life. oh geez. um. i've had so many years of just. just bad just a lot of bad. that it there has it's been a long time. since i've been proud of anything. i guess if anything it's my ability to survive through all the hardships i've been through. mhm. um my <m> a lesser person i guess would've. gotten rid of themselves a long time ago. but um even though like i'm really depressed and i feel gloomy and i feel <fe> just feel miserable about a lot of things um. there's gotta be a silver lining. so. yeah. um so yeah so i mean like i guess that's what i'm proud of that uh. i although a whole bunch of bad things have happened to me it hasn't ruined me i still try to be a good person um i i try not to be negative towards other people. and um. and truthful and i still i still have drive in me. that's great. yeah. is there anything you regret. ugh <sigh> so much um. my last marriage. um not getting out when i should have. um. and uh just. i regret a lot. what advice would you give yourself ten or twenty years ago. <sigh>. um the any situation that would've had a red flag um. eh just get out of it you know eh some things just don't work. and um. no matter how hard you try no matter how much you put into it so um. i i would tell myself um to um. that it's not selfish. to let go of a bad situation. and um not everybody can be helped so sometimes you just gotta live for yourself and help yourself. yeah. so if. mhm. had i known that then had had i known that. then i i i probably would've done better in life. so. i see what you mean. yeah. what are some things that make you really mad. <sigh>. um. people who um. when people are down on me for my faults. um that i have done that i have things that i've done in my past that people steal still relive when i'm trying to forgive myself um. people who are mean to other people uh people who talk poorly about people behind their backs people that are untrustworthy. um. just anybody who picks on the little guy. um. you know people who don't care about the environment or animals. um. mhm. i just <jus> i think that everybody should be as good as they possibly can be. and uh it's it's disheartening and it it just makes me so mad that people just can't be people don't let people live people try to make um everybody feel as negative and as poorly as they do. and uh i that makes me mad. yeah. okay. what do you do when you're annoyed. <laughter> i vent <laughter> um. yeah i tend to vent and then uh. and them um and then it's usually over i try not to bad mouth people um. i try to just talk through it until um until it's gone and then it doesn't bother me anymore. that's good. how are you at controlling your temper. mm. i try not to get angry um. because i have a really bad temper. and it um. and it can get outta hand so um. what i do is i i <laughter> something gets me so mad i tend to go and take a nap. um <laughter> if i'm not in that situation where i can just go and take a nap um i usually just walk away from the situation and i try to clear my mind. and come back to it. okay. when was the last time you argued with someone and what was it about. um. it was a couple days ago it was actually with my mother um. it was about um. actually she thought that i had taken a shirt from her. and um she was screaming and yelling at me and um. i was i was tired um i was it was late and um. i started to yell at <a> back at her you know because i was hurt that she would accuse me of something so petty um. and you <yo> <sigh>. it's uh going back to my past you know when i was younger and you know i didn't care about you know people's things and i would just kinda take and do whatever i wanted to and i'm not i'm so far from that person. um and i it it hurt me so i got mad and i and i started to yell and argue. mm kinda petty and stupid but. at the time it it seemed. it seemed uh. viable. yeah. what's one of your most memorable experiences. um. hmm. one of my most memorable experiences. um. god <go> i've had so many um. maybe. it was um. i don't know. um. it was. probably um. graduating pharmacy school. that's great. how did you feel in that moment. um i felt pretty great i didn't know if i was doing. uh very very well or not um and i ended up getting like on my last test scores i getting <get> ended up getting like ninety eight percent. and um. wow. i uh. i actually i didn't <did> i had no confidence <laughter> that i had done well in class in school at all and i i didn't even know how i was getting the grades i was getting um so that was a really big accomplishment for me um. and uh yeah that was a great it was a great memory yeah. awesome. yeah. what would you say are some of your best qualities. um. i'm reliable. um. i um. i'm talented. um i. i'm a good listener. um. i'm always there to help people. um. i tend to always try to do the right thing. um. sometimes actually i forget that i have any good qualities but. um. and just. i uh. all around i try to be you know as as good and the best person that i can be to other people and myself. um. that's good. yeah. what are some things that usually put you in a good mood. um. going to comedy shows. um. just um. having moments where you just laugh with people. um. sometimes just reading puts me in a good mood. uh. i don't know. probably that's about it. mhm. uh huh. okay i think i've asked everything i need to. okay. thanks for sharing your thoughts with me. thank you. goodbye. bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/346/346_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/346/346_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/346/346_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. how_doingV (so how are you doing today). i'm okay um. i'm a little. pensive i guess a little. uh down but. more or less okay. sorry_hear (i'm sorry to hear that). where_originally (where are you from originally). i was born in annapolis maryland. really (really). on the east coast. why_LA (why did you move to l_a). originally i moved because i went to film school um. and but then i decided to come i moved to washington d_c to do some work and now i'm back here again. adapted_LA (how easy was it for you to get used to living in l_a). it's very different um being from the east coast it just has a different feel to it um. but living. l_a is very has a very different kind of. um. attitude i guess and so it's a little difficult but i. but i've gotten more used to it since i've been here. often_backB (how often do you go back to your hometown). uh not at all um. when i left things got things were sort of i. i lost my job out there and so i had to move out here kind of quick to um. to be with. uh some people who were gonna help me out and i'm just sort of. i don't know if estranged is the right word but i'm just kind of. not really speaking to my family or old friends that often. difficult (how hard is that). it's not easy it's. it's kind of um. i miss i miss a lot of people i miss my old life before i lost my job. um i miss um some friends um. i miss a lot of the relationships that i had out there um so it's difficult i mean it weighs on my mind a lot. um i feel like i failed. and now i'm here and i can't seem to get back on my feet so it's it's it's hard. yeah_downer (yeah). shyoutgoing (do you consider yourself more shy or outgoing). depends on the situation i think i'm outgoing when i'm comfortable. um and then i'm extremely outgoing but when i'm in a situation i'm not comfortable with i tend to be a lot more shy. so that doesn't really answer your question but. okay_confirm (okay). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um [clears throat]. i have certain. i do i do a lot of writing. um i have certain. music that i listen to as i'm writing and when i can. when i can get really into that and sort of shut out the rest of the world um the music and the the thoughts just kind of. happening really um. it can it soothes me it's like it's when i feel most relaxed i guess. mhm (mhm). bouts_symptoms (when was the last time that happened). um. a few weeks ago i guess i was i'd been working on a book on a on a on a novel. and when i was really. when i was really getting into writing it and um. it was really working for me that was that was good that was really good i felt like i was accomplishing something and i felt really relaxed. cool3 (cool). argument_about (what was it about). um. it was about a. guy who is searching for. something it's. it's uh it's his last day on earth and so he's going to find a person that he. that he. met and just. was so struck by that he needs to he needs to find her and spend the last few minutes that he has on earth with her just because. sort of uh it's sort of romantic. adventure comedy kind of thing. mm (mm). change_directions (what made you decide to do that). well i've always i've always been a writer part of the reason i came to l_a was because of screenwriting. um so i wrote some screenplays and uh. you know had a little success with that out here and but since since then i've kind of gotten tired of the limitations of the screenwriting and i've started to write more short stories and and longer. just creative writing so. i i've been meaning to write a novel but i was just waiting for the idea to. to really hit me. uh_huh (uh huh). difficult (how hard is that). it's not easy the [exhale]. the parts the parts when it's good it's really good but getting there is sometimes a real struggle um. i find it difficult i have a real love hate relationship with writing when i when i love it i just absolutely love it but sometimes i. hate it because it's so difficult. um. but it's worth it for the times when it's when it's good. yeah3 (yeah). see_mean (i see what you mean). control_temper (how are you at controlling your temper). good i don't i don't really have a temper i. it's not i mean most of my anger that i have is directed inward as opposed to outward to other people. um if something is really really stressful or if i'm in a situation like a very intense confrontation i can. lose it but i probably <prob> that's probably only happened to me three four times in my whole life i mean generally i pretty much. try to it when i'm upset. i i get upset with myself not with other people. last_argument (when was the last time you argued with someone and what was it about). um. last night i guess well <weh> um. i got in an argument about whether or not. cleaning vegetables was necessary because of. i forget it but it well no it was about whether you can clean vegetables after you cut them because i'd already started cutting the vegetables and i thought that would be okay. so it turned into this. big argument and we did google searches to figure out who was right and who was wrong and i. wild_laughter5 ((laughter)). i ended up being wrong on that one but. it is. yeah that was it wasn't a blow up argument but it was a definite argument. okay_confirm (okay). feelguilty (what's something you feel guilty about). um. uh. a lot so much um. uh. i. i. i was in uh a relationship that i really really. um. that i really wanted to work. and. uh. i ended up and it was partly due to. i hadn't i was on i wasn't on the right medication and so i was going. at like everything sort of spiraled out of. control and i feel really guilty about the way that that ended and i mean i wasn't. i wasn't mean but i was. but i was getting more and more messed up. and i couldn't stop it and it ended and so i feel really guilty about not doing enough and and not. and and you know making her have to tell me that she never wanted to see me again. so. that was pretty that was pretty tough. hmm_downer (hmm). avoid (could you have done anything to avoid it). well some of it was was that. i wasn't medicated properly i mean now i've been to a doctor and i'm on medication that's. completely kind of i mean i still get. i still get upset and i still get depressed but it's not like it was it's not. i don't completely lose it for days at a time. um. so. i mean i know there's a part of me that knows logically that it wasn't all my fault and that if i had if i had been able to deal with the chemicals in my brain then i would've then it would've probably be different if i was who i am now then. i would've i would i would be. i would be. it probably would have gone very differently or maybe it wouldn't have but i mean i could have. i don't know i don't know if i could've done anything different. yeah_downer (yeah). things being how they were. too_hard (do you think that maybe you're being a little hard on yourself). i mean it's. it's possible uh. i mean obviously. yeah because i mean that's what i do i i. take little things <thin> i mean i take little things and i just think about them all the time in my head until. until it drives me crazy i dwell on stuff. um. and it's like any little detail that comes up. i suddenly remember and it can just throw me off for a whole day i mean i still. i still get. i still get really uncomfortable and embarassed and then feel ashamed about stuff that i did in high school. which was years and years ago which i shouldn't even be thinking about anymore 'cause it's so in the past but i still get that feeling like i'm right back there. yeah_downer (yeah). been_hard (that sounds really hard). well it's it's not. easy i've been trying to figure out ways to deal with it i i mean i dealt with it for a long time by. by by drinking and and you know just trying to like slow my mind down that way. um but you know since the medication it's been better it hasn't been impossible to deal with it hasn't been easy but it's but it's been better. Ellie17Dec2012_03 (that's good). symptoms_cope (how do you cope with them). um well like i said i do a lot of. you know if i'm if i'm writing or if i'm doing anything like i kind of have to almost. be doing two things at once to occupy my brain completely. um if i'm watching t_v i have to be playing a game on my phone if i'm using i'm the computer i have to be. you know watching a t_v show or a movie on you know on in another window so that i can just. keep my mind occupied during all of that. um. mhm (mhm). i just need i mean. i i wish that i could just sort of let the thoughts come and deal with them but i just i can't yet. trigger (are they triggered by something). they're triggered by everything. pretty much anything that i that i see if i. if i. if i hear somebody with a dutch last name if i if i hear somebody talk about wisconsin if i hear you know people talk about. just. anything you know i can reach back and connect. to. to this it's really it's really. i don't know that's the thing i mean i don't ever get a break. from it. that_sucks (that sucks). yeah. easy_sleep (how easy is it for you to get a good night's sleep). um. i don't know i'm a very light sleeper so i. awake and asleep and awake and asleep <asl> i have no problem going back to sleep but i generally. you know don't. i don't know i never really needed much sleep so. it's just only recently that i've really started to to like feel the effects of not getting enough sleep. like i would i would usually stay up until two or three in the morning so that i could just be so exhausted that i could just conk out and wake up the next day and feel fine go to work. um but now it's it's it's like if i do that i can't i still don't get enough sleep i don't conk out i still just sleep very lightly. you know i get up i toss and turn all night. you know and now. it's just. it's. yeah i don't sleep too great right now. mhm (mhm). sleep_affects (what are you like when you don't sleep well). um. pretty i mean. i don't know it's hard to it's hard to know i. i usually just kind of power through it and just. i'm uh i'm like how i am now just i just feel. bad. okay_confirm (okay). when_diagnosed (how long ago were you diagnosed). um. i think. about three three four years ago. um. it was when i. i had been given taking stuff for anxiety for. for. years before that but then i finally got a psychiatrist who actually sat down and talked to me and said you've actually got. this. situation and we need to get you on the medication that you're on is not working you need to get on this new medication that will actually start to like. even you out and heal you a little bit from all this so. so yeah that was that was kind of a a turning point but unfortunately. it happened after everything uh went bad so. i don't know. describe_felt (how did you feel in that moment). in the moment i don't know i don't really think i thought about it too much then but looking back on it i feel. it really makes me. angry it really makes me you know given where i am right now it makes me really angry that i'm. that i had to that i i lost everything because. because of. chemicals in my brain because of things that i couldn't control. and that you know the people that were supposed to help me weren't helping me i mean i was paying i was paying a lot of money to to go see doctors and they were doing and they you know it wasn't. it was it didn't help it didn't work until. until. you know i managed to find somebody who did work and i just yeah so i'm i'm like thanks guys for helping but. it was a little it's a little late now. yeah_downer (yeah). why_seek_help (what got you to seek help). um. there really wasn't any choice i had to i was i was a mess i was. it was either. i was i was self medicating it was affecting my work i mean it was everything was just at there was a point where i really realized that i mean i just had to like make this different. but again it was too late because you know then my review came up a few months later and you know after. after everything after being institutionalized once or twice and all this stuff you know they just decided that i was just not worth keeping around so they laid me off. but it was at least. that and not. firing me. but but but yeah but so i got help but it was. but it wasn't soon enough. downer (okay). therapy_going (do you still go to therapy now). uh not. not as much as i should. um. i go to a couple of. meetings. i go to i go to a_a so that i can. um you know keep control of that aspect too <t> too and there's a there's a therapy aspect to that. um unfortunately you know being unemployed. my unemployment ran out you know i'm i'm you know i'm getting my medication from the city of l_a so. you know i'm not really in a position to put money into seeing. somebody so i have a psychiatrist that i go see but it's really. very. i've i've only seen her three times in the past year so. it's basically to keep my medication coming. okay_confirm (okay). and then there's you <laughter>. wild_laughter3 ((laughter)). yeah3 (yeah). right. therapy_changes (what sort of changes have you noticed since you've been going to therapy). well like i said i mean. just the talk <tah> i mean the the let's just take the a_a for example because that's probably the closest <cloth> closest for that i'm seeing with therapy for now. um just saying stuff outloud is just. like getting getting this stuff out. trying to figure out how to take that mess that's in your stomach and in your brain and make it into words and sentences that make sense. that you can actually deal with. is a big step like. regardless of who. you're saying it to whether it's a therapist or just a room full of of drunks you know i mean you're you're taking all that. stuff that's that's really been killing you and you're making it into something you can deal with something that you can write down something that you can. talk about as opposed to just letting it just sit there as this formless thing. right2 (right). yeah. feel_lately (how have you been feeling lately). um. you know better than i than i have been um i mean. it it sort of. it goes <g> it has its ups and downs. um you know i'm applying for jobs. five six jobs. or more a a day you know and never getting a response never getting an interview. never even getting close to. to to being self sufficient again. um. it's hard but that's like real world problems i feel like the chemical parts are getting under control like the the depression is getting under control. so now it's just i have to deal with real life which is. it just has its it's just its own own challenge. yeah3 (yeah). good_job (it can be tough to find a good job these days). yeah. happy_lasttime (tell me about the last time you felt really happy). um. it was probably you know a couple years ago. um. i i was. i mean the thing that immediately comes to mind. uh. is. everything was going well at my job i was making these great videos with with this person that i that iwas having a relationship with and we were really close. we were having fun together. and we went out and got a christmas tree. and. we spent the all this time picking out the perfect christmas tree and it was just. feeling like a part of somebody's life. and feeling like a part of the bigger. the bigger life. that's that's out there you know like what normal people feel. you know for that instant i felt like. a normal person doing a normal thing with a pretty girl who he really really liked a lot and. you know everything was going really well and. i mean it wasn't going really well because it was all messed up but for that instant i felt like a normal person. a normal happy person. and. part of what makes it so hard now is knowing that. i don't know if i'll ever feel that again. so. uh_huh (uh huh). Ellie17Dec2012_08 (what are you most proud of in your life). um. probably the. probably this. educational <educary> educational series i did uh. an educational. uh video series i did for the national science foundation. um. it was. it it was really hard and it but in the end it turned out really good and. you know i'm hoping that it helps a lot of kids and it helps the world with getting kids excited about science and about um. and about the world around them so that i feel like that was a real contribution that i made to. the world. mhm (mhm). sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). oh it was part of you know it was part of my my job um. it was it was a. we were trying to come up with. with new ideas uh. for because we would put together videos and stuff to give you know. to to schools and everything and they had done those before but we decided to do something really big. you know and there was a lot of traveling and there was a lot of um. and there was a lot to it and so. it was probably the biggest. project that the n_s_f had decided to do and so we just kind of produced it. right that doesn't yeah. awesome (awesome). ideal_weekendC (tell me how you spend your ideal weekend). um. i guess. <grunt>. i don't know <laughter> uh. i don't know it's been a it's been a while since i've really thought about that i don't know would i go somewhere would i. i i i don't know. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). thank you.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/367/367_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/367/367_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/367/367_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yeah go ahead. okay_confirm (okay). okay_confirm (okay). how_doingV (so how are you doing today). how_doingV (so how are you doing today). um i'm okay. thats_good (that's good). thats_good (that's good). where_originally (where are you from originally). where_originally (where are you from originally). i grew up in wisconsin and i lived in colorado for a bit and then i lived overseas for a little while then i moved to california. wow (wow). mhm. when_LA (when did you move to l_a). i moved here at the end of june of last year so i guess it's been what eight months something like that. often_backB (how often do you go back to your hometown). often_backB (how often do you go back to your hometown). um <sigh>. at the most probably twice a year. compares_LA (how does it compare to l_a). compares_LA (how does it compare to l_a). <laughter> well my hometown is uh all of five thousand people  and um there are a lot of cows and barns and farms so the opposite of l_a <laughter>. wild_laughter3 ((laughter)). wild_laughter3 ((laughter)). why_LA (why did you move to l_a). why_LA (why did you move to l_a). um <sigh> it's a good question i i've always wanted to live in california so but i had been living in in the central coast um. and. i just had been coming down to l_a like once a month for different business and networking and personal development stuff so. um yeah things were were changing. in santa cruz for me the client i had who was really the main like financial. um. main financial source i had that relationship ended so i was totally free to move and i thought well i guess i'll give l_a a try and see what happens so. uh_huh (uh huh). so i gave it a shot and here i am. adapted_LA (how easy was it for you to get used to living in l_a). adapted_LA (how easy was it for you to get used to living in l_a). oh not at all <laughter> it's a very very big city um. i lived in dublin in ireland it was a which is also a big city but. you know european cities are much more condensed and the public transportation is much more easy um. and. yeah so just getting around here and getting familiar with the city was pretty challenging and uh. yeah. so. yeah3 (yeah). yeah3 (yeah). see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). <sigh>. <laughter>. i love to travel i love it yeah i've i i lived in ireland and i traveled um. i was in morocco and i was in costa rica. um i've spent some time in mexico so. yeah. travel_changed (what do you enjoy about traveling). um i love <sigh> meeting new people experiencing new cultures and like also. not just seeing what's different but seeing what's similar among people everywhere you go. travel_trips (i'd love to hear about one of your trips). travel_trips (i'd love to hear about one of your trips). um sure well. i guess hmm. i'm trying to think which was my favorite i mean eh there was amazing things about morocco and costa rica both but. morocco was incredible it was like twelve days and we went to three different locations we went up in the atlas mountains which are beautiful and uh. yeah it's a really really cool culture so it was fun. memorableB (what's one of your most memorable experiences). memorableB (what's one of your most memorable experiences). um <sigh> my trip to ireland i actually visited there which is why i decided to move there so. my most memorable moment of that trip i mean there's probably dozens but the first most memorable moment of that trip was. um being on a bus and and leaving. um dublin and going just out to the countryside and. seeing how absolutely breathtakingly beautiful it is i mean it's everyone sees pictures of ireland or you know you see it in films and it's green and lush and gorgeous but. when you actually get there and experience it it's it like the pictures don't do it justice so it was incredible. awesome (awesome). awesome (awesome). yeah. study (what did you study at school). um i have an undergrad degree in english and psychology and a psychology minor and i have a master's degree in women studies. still_working_on_X (are you still working in that). still_working_on_X (are you still working in that). no i use my english and psychology um i work in marketing communications so. i actually do sales. so um yeah the psychology definitely comes into. comes into play and eh so does my. i guess my undergrad degree in english but really like i took that on and and created something out of it because most people who get an english degree just teach and i i wasn't wanting to teach. yeah3 (yeah). yeah3 (yeah). change_directions (what made you decide to do that). change_directions (what made you decide to do that). um. to. guess i'm not clear on the question um. back_later (let's come back to that later). back_later (let's come back to that later). okay. job_virtually (i love my job you could almost say it's virtually made for me what's your dream job). <laughter>. wow um <sigh>. you know my dream job is. being a. a motivational speaker and trainer and coach. um and traveling the world doing that and and impacting people's lives and. um really contributing to people. okay_confirm (okay). okay_confirm (okay). family_relationship (tell me about your relationship with your family). um my relationship's pretty good actually i. i just repaired my relationship with my biological mother who would. not she was sporadic i saw her sporadically growing up i lived my dad raised me and then he married my stepmom and. um they had two kids together so i grew up and i consider them like the family i grew up with so but i got  in communication with my biological mother. um last may and we've been. we've you know cleared things up and have been in communication since then so. thats_good (that's good). thats_good (that's good). describe_felt (how did you feel in that moment). describe_felt (how did you feel in that moment). um. <mutters>. well not sure which moment you mean but if you're referring to being in communication with my birth mother. um. i mean it was very freeing to just let go of the past and let the past be the past and create something new in the future and eh not just the future but in the present moment with her so. yeah. mhm (mhm). shyoutgoing (do you consider yourself more shy or outgoing). i'm shy. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. <laughter>. um to relax i do a number of things i like to do yoga although i don't have the money for it right now um i love to dance. i love to read. i love to go to the ocean spend time just staring at the waves and soaking up all those negative ions. that really recharges my battery actually probably more than anything else. um. i like to be with friends um. i love art and. trying new restaurants um. yeah all those things are. both relaxing eh i guess they're relaxing in the sense that. um i feel connected to the people in my life and to the experiences of my life so. uh_huh (uh huh). yeah yeah. control_temper (how are you at controlling your temper). control_temper (how are you at controlling your temper). um depends if i'm driving not very good but otherwise i'm pretty good at it <laughter>. last_argument (when was the last time you argued with someone and what was it about). last_argument (when was the last time you argued with someone and what was it about). um <sigh> last time i argued with somebody probably would have to be. oh no it was with the l_a times about the newspaper delivery. yeah that was the last time so. tell_about_that (can you tell me about that). yeah the <sigh> um the newspaper that was supposed to show up for the elderly lady that i take care of. uh it didn't show up. and. uh i didn't realize that it wasn't there until. um late i don't know afternoon i think early afternoon and then i called them and. they said they couldn't send a replacement because it was after ten thirty in the morning which was absurd to me when they made the mistake in the first place. so i mean for a service that you know we pay for for every day so um yeah it was i was really irratated and then i found out that. the newspaper had been forwarded to a new address and that had not been communicated with me so. i was angry with the l_a times i was angry with the people who'd forwarded the newspaper and didn't tell me yeah i was pretty frustrated. yeah_downer (yeah). situation_handled (tell me about a situation that you wish you had handled differently). oh wow there are quite a few of those <sigh> um. let me think about one. um the other day i had a phone call. and i'm in a coaching program and. it was from <sigh> one of the coaches in the program. and she was um explaining to me that there was an additional call that was going to be we have meetings every week classroom meetings and then we also have coaching calls 'cause we have one particular coach we work with. and then she called to tell me that i was going to have another coaching call with. um. someone who's not my coach and uh that. hadn't been explained to me as part of the program so it in that moment it just seemed to me like oh my god i have all these. people i have to be accountable to and i'm like eh you know i have to. not just be accountable to them but share private things that are happening in my life with these people and it just was i don't know. so. yeah i wasn't um. i wasn't angry i was just i just felt frustrated and a little overwhelmed in that moment and. it you know and i talked it out with her and we got through it but. um. yeah i could've. certainly just um been okay with whatever was being asked of me in the at that time and. would've made the call go a lot smoother. uh_huh (uh huh). hard_decisionB (tell me about the hardest decision you've ever had to make). hard_decisionB (tell me about the hardest decision you've ever had to make). hmm the hardest decision wow there's been a few. i guess moving to ireland was probably the hardest decision. no it wasn't even the hardest decision it was such an easy decision actually but telling my family about it was. challenging. um that but the hardest decision was my the first time that i. moved. uh away from my family i was twenty eight and i decided to i chose to move to colorado. and um that was a pretty tough decision 'cause at that point my family had been. you know within an hour's drive of wherever i lived an hour hour and a half and now they were gonna be you know. um a twelve hour drive away or a plane ride away so that was it was challenging. change_directions (what made you decide to do that). change_directions (what made you decide to do that). oh lots of things um. i loved colorado colorado is a beautiful beautiful state and. the weather is so much better than wisconsin and um. at the time i was very much into rock climbing. and there's just a huge outdoor <outdoo> outdoor community in colorado so there were a lot more people who were. um in my age group and or single that was another factor um. and were interested in the things i was interested in so colorado just seemed like a really natural fit. so. yeah and then i i found a a job that i liked the pay was atrocious but. um i found some work that was really rewarding and so it all came together and i chose to move. great_situation (that sounds like a great situation). great_situation (that sounds like a great situation). yeah. easy_sleep (how easy is it for you to get a good night's sleep). uh that was totally unrelated question um <sigh>. relatively easily. it just depends on like what time i go to sleep if i'm out and i don't get home until eleven thirty then. you know then i go to bed late and uh i wake up feeling tired like i feel today. but generally i can sleep through the night i've had some pretty. anxiety-ridden dreams the last couple of weeks um. but even so even when i wake up from those or if i you know stir from those i still can fall back to sleep relatively easily. trigger (are they triggered by something). um yeah i'm sure they are i mean i'm in another transition state i'm moving out of. out of the <sigh> house that i live in right now where i take care of an elderly woman <sigh> um. yeah and i just i have to find. the financial means to support me in doing that and it's. and she creates a lot of anxiety just in her state of being she's exhausting and utterly depressing. so. yeah. difficult (how hard is that). difficult (how hard is that). um living with her is pretty hard like it's probably the hardest thing i've ever done and i would never ever choose to do it again if i honestly if i knew what i was getting into i don't think i would've said yes to the situation. isee_downer (i see). feel_lately (how have you been feeling lately). feel_lately (how have you been feeling lately). um i feel trapped and helpless like there's you know nothing i can. there's no way out of the situation that i'm in no matter what i do it doesn't get any better i don't <d> i don't i know i'm not getting any kind of work that i want to do. and mm my money's not working at all. so yeah it feels pretty crappy. im_sorry (i'm sorry). im_sorry (i'm sorry). <laughter> thanks. depression_diagnosed (have you been diagnosed with depression). i have in the past yeah. when_diagnosed (how long ago were you diagnosed). when_diagnosed (how long ago were you diagnosed). oh a long time i was fifteen i think or fourteen so it was over twenty years ago. why_seek_help (what got you to seek help). why_seek_help (what got you to seek help). i was suicidal. feel_down (do you feel down). oh yeah i feel down mhm. therapy_going (do you still go to therapy now). i don't actually no. stop_going (why did you stop). stop_going (why did you stop). um. well i originally stopped. with my therapist because we had completed i mean we had. worked on what needed to be worked on and i was no longer depressed. and um and then i began therapy again. later on. think i was <wa> it was in my early thirties. um and then i we ended that because i'd moved to ireland so. therapy_useful (do you feel like therapy is useful). therapy_useful (do you feel like therapy is useful). yeah i mean depending on the therapist and depending on your intention like i i don't go into therapy thinking oh i'm gonna be in this therapeutic relationship for the next ten years i think that's ridiculous. right2 (right). i think you go into therapy to um work on a specific problem and have a solution and have somebody be your sounding board who can see things that you can't see. and. you know work through that situation and come up with um. a strategy for. not just that not just creating a solution in that area but also just creating strategies. and uh tools for the rest of your life so that you don't have to be in therapy forever. yeah3 (yeah). happy_lasttime (tell me about the last time you felt really happy). happy_lasttime (tell me about the last time you felt really happy). <deep breath> <sigh> the last time i felt really happy <sigh> wow. huh. wow that's pretty sad. um it was at least a year ago. no i that's not true it was. when i um. saw my biological mother which was last may. Ellie17Dec2012_07 (what would you say are some of your best qualities). my best qualities. um <sigh>. i'm very strong. very strong-willed. i um. am very supportive and loving and nurturing. um. i'm easy to be around. i'm intelligent. and. um. yeah. regret (is there anything you regret). anything i regret. i don't think so. no. advice_back (what advice would you give to yourself ten or twenty years ago). <sigh> don't take life too seriously. <laughter>. ideal_weekendC (tell me how you spend your ideal weekend). oh my ideal weekend. um i spend some time at the beach i'll spend some time with friends. um either going out at night you know to a movie or. just going out to um. a club or a bar or somewhere that we can just sit and chat and be together. um maybe go dancing after. um and sundays i usually go to. scrubbed_entry. and then i have brunch with friends and. um. yeah i go home and sunday night i get ready for the next day so. okay_confirm (okay). okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). hmm <sigh>. i am most proud of. um. a few things i mean. i've moved to places that i wanted to move to. and uh so i've done things that have really spoken to me and have. meant something you know been dear to my heart to actually. um. mm achieve those those um. goals or those. yeah i've done things that i've wanted to do like move to ireland and move to california. thats_great (that's great). mhm. asked_everything (okay i think i have asked everything i need to). asked_everything (okay i think i have asked everything i need to). okay. appreciate_open (thanks for sharing your thoughts with me). appreciate_open (thanks for sharing your thoughts with me). sure. bye (goodbye). bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/377/377_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/377/377_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/377/377_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). okay. thats_good (that's good). where_originally (where are you from originally). from santa monica. really (really). like_about_LA (what are some things you really like about l_a). uh the people. mostly. dont_like_LA (what are some things you don't really like about l_a). <sigh> well the people also <laughter>. see_mean (i see what you mean). <laughter>. travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). uh no not a lot. why2 (why). well i can't afford to travel as much as i'd like to. okay_confirm (okay). study (what did you study at school). mm i was an english major. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). uh i just liked reading a lot at the time so. it sounded like the best thing well the most fun thing to study. still_doing_X (are you still doing that). no not anymore. job_virtually (i love my job you could almost say it's virtually made for me what's your dream job). oh i guess my dream job would be to. manage a uh soccer club. difficult (how hard is that). oh it'd be pretty much impossible for me. why2 (why). um i don't have any experience <laughter> in that field. understand (i understand). shyoutgoing (do you consider yourself more shy or outgoing). i'm very shy. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). i play music. what_do_when_annoyed (what do you do when you are annoyed). <sigh> what do i do when i'm annoyed. i don't know. um. what do i do when i'm annoyed. i can't think of anything i don't know. i don't think yeah i don't do anything specifically. okay_confirm (okay). control_temper (how are you at controlling your temper). uh pretty good i would say very good i don't lose my temper very often. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). mm when was the last time i argued with someone. <sigh> i can't remember uh. yeah i don't have a lot of conflicts with people i can't remember the last time i argued with someone. hmmB (hmm). memory_erase (tell me about an event or something that you wish you could erase from your memory). <sigh>. well let's see when i was um. a little kid. i was outside my grandparents' uh restaurant. and there was a robbery and i saw it i well i saw it when when the robbers were leaving. um. yeah maybe i would want to erase that from my memory if i could. yeah_downer (yeah). describe_felt (how did you feel in that moment). well i didn't know what was happening in that moment so i didn't feel. so bad at the time but i felt bad afterward because then. um. you know my mother was upset by it my mother was there and she had to call the police and it was. it was disturbing to see her. you know really disturbed that way but. at the time that it actually happened i wasn't really upset it was more the the aftermath of it. yeah_downer (yeah). been_hard (that sounds really hard). mm it was <wa> it was. situation_handled (tell me about a situation that you wish you had handled differently). <laughter>. <sigh> situation that. <sniffle>. <sigh>. i don't know um. well i can think of um there's probably a million situations that i would've <laughter> i wish i would've handled differently i can't think of one in particular. um. maybe. i think that when i was a kid i um. well i think that when i was let's see. well i have okay i have a good one. um. i didn't marry the girl that i think that i should have married. so. that's a big one for me. tell_about_that (can you tell me about that). yeah well. we <w> we were together for about four years. and uh i think i just took her for granted and i just didn't uh commit. and um. that was a long time ago and now that's it's been so many years i realize well i don't know that if it's a realization but i think now that. that yeah she should've been my wife that we were meant for each other or made for each other. but because. my selfishness and because i just uh. had this fear of commitment at the time i just felt like i didn't uh. i didn't do what i should've done what what the smart thing would've been. mm (mm). feelguilty (what's something you feel guilty about). <sigh>. well the last thing i can think of that i would say i feel guilty about was. <sigh>. no i feel a lot of guilt about my my friendships i've not i don't feel like i'm as as good of a friend. as i could be but then at the same time i don't really know exactly what uh. how i could be a better friend i just feel a little guilty that i'm not that i can't help people anyone who who has a problem i can't. i never feel like i can help anyone. who i know who has a problem so. bouts_symptoms (when was the last time that happened). oh that happens every day i guess it that happens with everyone who i know and everyone. all of my relatives and all of my friends i don't. feel like i can really give them anything or help them in their lives you know. mhm (mhm). family_relationship (tell me about your relationship with your family). well they're um. it's very distant it's it's just. it's very cordial and it's very uh. uh i don't know what the word is it's on the. it's kept at a very surface level i don't think that they know i don't think that my family really knows me very well at all. and uh i don't know them very well either not not in a not in a true sense. so. yeah it's it's. i think a lot of families are that way but it it is. it does bother me that mine is that way. yeah_downer (yeah). easy_sleep (how easy is it for you to get a good night's sleep). oh it's very easy i sleep a lot and i um. yeah i i i have no problem sleeping at all. behavior_changes (have you noticed any changes in your behavior or thoughts lately). no not not really i would say. they way i am now it's the way i think i've been my whole life so. even when i was a little kid i slept a lot also and. no i don't think i've i've changed much. feel_lately (how have you been feeling lately). mm pretty down. but like i said. in a way i could say yeah i'm feeling really down but then again. i've always been this way so. it's hard to say that's it's down when it's consistently that way. yeah_downer (yeah). depression_diagnosed (have you been diagnosed with depression). yes. when_diagnosed (how long ago were you diagnosed). a long. oh a long time ago i was um. about ten years old or. around there about. why_seek_help (what got you to seek help). uh i was just missing a lot of school. i didn't wanna go to school so eventually uh they sent me to. to a therapist and then to a psychologist and then to a psychiatrist and uh. it went from there. therapy_going (do you still go to therapy now). no i haven't gone to therapy. since i was a teenager. stop_going (why did you stop). well. i didn't feel it was helping me at all. so. one day i just. decided i didn't wanna go anymore. eh. therapist_affect (how has seeing a therapist affected you). uh well like i said it i didn't feel that it helped me um. so i guess it i don't know that it affected me much. disturbing_thoughts (do you have disturbing thoughts). no i wouldn't say. disturbing. no. happy_lasttime (tell me about the last time you felt really happy). mm. well i feel pretty happy whenever i see my nephew. and uh i have a. my best friend's children are i feel like they're my my nephew and my niece and i'm pretty happy when i'm around them. thats_great (that's great). ideal_weekendC (tell me how you spend your ideal weekend). uh my ideal weekend would be um. i would travel <tr> i would probably be traveling i i would. really enjoy just getting out of the city every weekend um. eh going anywhere really just anywhere out of the city. travel_changed (what do you enjoy about traveling). uh just seeing the way different people live and how people are different wherever you go i really do think people are different when you go to different places and. how they interact with you and how they see the world. different food. um. and i also like historical places i i'm into history and i and i enjoy um just visiting anywhere that has some sort of a. historical significance. awesome (awesome). <laughter>. travel_trips (i'd love to hear about one of your trips). oh i haven't taken a trip in a long time um. the last trip i really took was i went to france a few years ago for a wedding. and i had a really good time there and i had always wanted to go to paris and so i got to go to paris and then i went to a little town. um. that's a few hours away from paris where the actual wedding was. and yeah it was really fun i think the the church where the wedding was was uh like a thousand years old so. wow (wow). yeah it was a really cool trip. memorableB (what's one of your most memorable experiences). <sigh>. <sigh> like i don't know i don't <laughter> i don't know what's what would would be considered memorable. mind (whatever comes to your mind). uh. a memorable experience. probably the most memorable experience i guess would just be. nothing in particular but but living with the girl who i just who i told you earlier that i think now. that we should've. gotten married. um. that's something that stays in my memory that's why i'm saying it's memorable because. it's it's still with me and um. eh it's something that i don't think you know well i'll know i'll never forget it but it's not any. mm particular day or any particular moment you know. yeah_downer (yeah). self_change (what are some things you wish you could change about yourself). oh a lot um. wish i could be healthier. for one thing uh more energetic. and um. more friendly well no i think i am pretty friendly. but more uh more outgoing more social <s> more uh more social. um those two things mainly i guess i would like to be more more social more enthusiastic and more. and healthier. BF_describe (how would your best friend describe you). oh that's a good question my best friend how would my best friend describe me i think. i think he would say that i'm. a very <sigh> well it sounds cheesy but it <laughter> he would probably say that i'm a very spiritual person. and that i'm very giving i i think i'm a lot more selfish than people think i am but people think that i'm not selfish. um. and probably he would say that i'm creative also. advice_back (what advice would you give to yourself ten or twenty years ago). <sigh> wow. well my advice to to myself. i don't understand the question <laughter>. regret (is there anything you regret). yeah but we already talked about it. right2 (right). Ellie17Dec2012_08 (what are you most proud of in your life). <sigh>. nah i can't uh well i don't think that i really believe in in being proud or in in pride. um i don't think that it accomplishments are really something to be proud of but i can't really think of. any accomplishment. anyway even if i did have something <laughter> to be proud of no i can't think of anything <anythi> any sort of accomplishment i've had. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). <sigh>. uh something i did recently that i really enjoyed. well i sang karaoke with a couple of friends of mine. <laughter> and i don't usually do that but. yeah i had a that was a lot of fun a few days ago. cool3 (cool). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). thank you. bye (goodbye).\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/381/381_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/381/381_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/381/381_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). sure. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing fine. thats_good (that's good). where_originally (where are you from originally). i'm from columbia south carolina. really (really). yep. when_LA (when did you move to l_a). uh two thousand four. long_time (that's a long time). yeah. <laughter>. often_backB (how often do you go back to your hometown). uh once a year for christmas break. thats_good (that's good). compares_LA (how does it compare to l_a). uh a lot slower paced. why_LA (why did you move to l_a). more xxx. i wanted to perform <perf> to pursue a film degree or i'm sorry a film career. still_doing_X (are you still doing that). yes. difficult (how hard is that). it's pretty challenging but it's uh fun. change_directions (what made you decide to do that). uh i've always had a interest <inter> interest in uh film and movies so uh it seemed like a natural pick for me. cool3 (cool). adapted_LA (how easy was it for you to get used to living in l_a). uh took about a couple of years. but uh. i feel like i'm pretty used to it now. like_about_LA (what are some things you really like about l_a). uh i like that uh it doesn't snow it's warm weather. and there's lots do to with a lot of beaches. yeah3 (yeah). dont_like_LA (what are some things you don't really like about l_a). uh the traffic. and the cost of living is pretty high. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). <laughter>. i've never been outside of the u_s but uh i would love to at some point. shyoutgoing (do you consider yourself more shy or outgoing). uh it depends on the situation i i can either be introverted or extroverted just given uh the right circumstance. okay_confirm (okay). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). i like uh listening to music uh doing crossword puzzles. reading and hanging out with friends on weekends. uh_huh (uh huh). control_temper (how are you at controlling your temper). uh very good. last_argument (when was the last time you argued with someone and what was it about). hmm. uh. i don't think it was argument maybe <may> maybe a difference of opinion so it was more like a debate. but uh it was pretty pretty tame. tell_about_that (can you tell me about that). uh i think it was a. debate over sports. over a basketball <ba> a basketball game. and uh. oh (oh). i was talking on facebook with somebody about it. but i think it's good to. uh express yourself if you have a difference of opinion it's uh. it's natural to you know. not always agree on things. so. yeah3 (yeah). i think talking <ta> talking about is healthy <hea> is healthy. right2 (right). makes_sense (that makes sense). family_relationship (tell me about your relationship with your family). i have a very good relationship with my family um i get along with all of my family members and extended you know cousins and aunts and uncles. so uh. there's no one that i i've ever had any rifts with. okay_confirm (okay). situation_handled (tell me about a situation that you wish you had handled differently). hmm. with my family. yes (yes). hmm. i probably could've been more disciplined growing up. and. more. uh. more disciplined with schoolwork and homework that kinda thing. but for the most part uh i had a i had a good childhood and uh there's not much i would change about it. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). hmm. probably leaving my comfort zone in uh south carolina moving out here that was pretty. hard but at the same time it was. uh exciting. so it was it was a bittersweet feeling. um. a lot of excitement mixed with uh some anxiety but it uh. it went away pretty quickly. happy_didthat (are you happy you did that). sure. okay_confirm (okay). feelguilty (what's something you feel guilty about). not doing better in school uh when i was in high school. avoid (could you have done anything to avoid it). uh definitely i could've been a a <ss> um more diligent worker and i could've uh applied myself a little bit better. influence_positive (who's someone that's been a positive influence in your life). hmm. i've always had a strong support <s> uh family support system. and uh parents and uh siblings. so. that's definitely a positive thing. uh_huh (uh huh). memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. an event. uh. probably going back to school i wish i would've uh. wish i would've done better in school so if i could take something back from my past it would be. uh scholastically <sch> scholastically related. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). it's pretty easy. thats_good (that's good). sleep_affects (what are you like when you don't sleep well). when i don't sleep well um. i tend to be. kinda lackadaisical and uh. just tired throughout the day kinda groggy. okay_confirm (okay). behavior_changes (have you noticed any changes in your behavior or thoughts lately). uh no everything's pretty much uh the way it usually is with me. feel_lately (how have you been feeling lately). i've been feeling pretty good. thats_good (that's good). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). uh no i have not. depression_diagnosed (have you been diagnosed with depression). uh no i haven't. happy_lasttime (tell me about the last time you felt really happy). last time i felt really happy um. i made a lot of money uh a few weeks ago and uh i feel like i'm ahead of the game with you know with having rent under control and a lot of bills out here so. i'm still kinda have the lingering effects from that happiness. thats_great (that's great). yeah. elaborate (could you say a little more about that). uh. when i. when i have money i tend to be a lot uh. more even-tempered. not even-tempered but i tend to feel better about things. and more optimistic. and this city being such about your finances it it always makes you feel good to be ahead of the game. and to have uh. right2 (right). xxx have sources of income. yeah3 (yeah). Ellie17Dec2012_07 (what would you say are some of your best qualities). uh. i think i'm creative. and i think i'm a good listener. advice_back (what advice would you give to yourself ten or twenty years ago). hmm. to be as disciplined and focused as possible. because once you're out of your. parents' homes and out of their lives you have to. depend on yourself and the better the better you do in school and the better you are um. uh as far as discipline's concerned the more pleasurable <pleasur> pleasurable your life will be and. a lot eh uh. your life will be a lot easier. mm (mm). self_change (what are some things you wish you could change about yourself). hmm. let's see here. i wish i was more. disciplined. but i'm working on that and i've gotten a lot better. at that. difficult (how hard is that). it's become pretty easy i think i'm just getting older um i'm out of my twenties now so. i definitely seen a change from when i first came out here. feelbadly (tell me about a time when someone made you feel really badly about yourself). hmm. um. some people tend to say that my decision to move out here was uh not feasible and kind of a pipe dream so that kinda made me feel bad but. uh i kinda take insults in stride and um sometimes i welcome. constructive criticism. 'cause some some things are wrong with you that you're not aware of so as long as it's not mean-spirited and it's coming from the right place. i think it could be an invaluable uh tool you know listening to what to what other people. have to say that might be negative. mhm (mhm). makes_sense (that makes sense). BF_describe (how would your best friend describe you). hmm. uh probably optimistic and. um. outgoing optimistic and. uh helpful. okay_confirm (okay). ideal_weekendC (tell me how you spend your ideal weekend). my ideal weekend uh. i would love to go to vegas and have a road trip with with three or four friends. you know packed in the car and just uh lots of disposable income. and um you know good weather. bouts_symptoms (when was the last time that happened). uh i haven't been to vegas in probably five years but. um. i've gone to casinos with my brother and that's pretty fun sometimes. nice (nice). Ellie17Dec2012_08 (what are you most proud of in your life). uh. i'm proud that i've come a long way from when i first moved out here i'm uh a lot more disciplined. um. i read a lot. uh. i do crosswords. and i think i've. i think i know what's important in life now and i'm more focused and going after what i want. good_hear (that's so good to hear). mad_makeyou (what are some things that make you really mad). hmm. i'm not a big fan of high taxes. um. but it doesn't really make me mad it makes me frustrated and and uh. i guess i take it in stride though. thats_good (that's good). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). uh. i had a friend over at my apartment and i watched a movie and that was fun. argument_about (what was it about). it was a documentary. Ellie17Dec2012_02 (uh huh). asked_everything (okay i think i have asked everything i need to). a sport <s> a sports. appreciate_open (thanks for sharing your thoughts with me). sure. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/382/382_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/382/382_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/382/382_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). doing alright. thats_good (that's good). where_originally (where are you from originally). from passaic new jersey. really (really). yes. when_LA (when did you move to l_a). uh about five years ago. often_backB (how often do you go back to your hometown). try to go back every year. compares_LA (how does it compare to l_a). uh. there's a lot more people. why_LA (why did you move to l_a). change of scenery. adapted_LA (how easy was it for you to get used to living in l_a). i'm still trying to get used to it. mm (mm). like_about_LA (what are some things you really like about l_a). the people. cool3 (cool). dont_like_LA (what are some things you don't really like about l_a). just um. employment how it's doing right now it's just no work. good_job (it can be tough to find a good job these days). yeah. study (what did you study at school). i don't really have much of an education. dream_job (what's your dream job). i haven't i haven't figured it out yet. okay_confirm (okay). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). no not really <sigh>. okay_confirm (okay). shyoutgoing (do you consider yourself more shy or outgoing). i've gotten to be more shy now. why2 (why). i'm not sure i'm just. just a lot more reserved now i'm not sure i just. i just build walls i guess i don't know <laughter>. yeah_downer (yeah). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). count to ten <laughter>. control_temper (how are you at controlling your temper). i'm alright. it's alright. last_argument (when was the last time you argued with someone and what was it about). i'm arguing all the time <laughter>. give_example (can you give me an example of that). just uh. doing the dishes and just mm. having to do different things i don't wanna do <laughter>. uh_huh (uh huh). situation_handled (tell me about a situation that you wish you had handled differently). that. can't really think of one right now. talk_later (why don't we talk about that later). memory_erase (tell me about an event or something that you wish you could erase from your memory). mm. something i wish i could erase my memory. mm. uh nothing really comes to mind right now. i'm drawing a blank <laughter>. okay_confirm (okay). feelguilty (what's something you feel guilty about). i feel guilty about not. having money for the bills <laughter>. not having a job <laughter>. not doing nothing with my life <laughter>. been_hard (that sounds really hard). yeah. <laughter>. too_hard (do you think that maybe you're being a little hard on yourself). i mean i'm getting older. <laughter>. not really. hard_decisionB (tell me about the hardest decision you've ever had to make). what kind of car to buy. really (really). bouts_symptoms (when was the last time that happened). about two years ago. tell_about_that (can you tell me about that). had to do a lot of research. like_what (like what). looking at magazines and just going on the internet and just. looking through cars and just seeing what i wanted to get and what was in my budget and. see_mean (i see what you mean). easy_sleep (how easy is it for you to get a good night's sleep). that's alright. sleep_affects (what are you like when you don't sleep well). aggravated. uh_huh (uh huh). angry. okay_confirm (okay). feel_lately (how have you been feeling lately). i've been feeling alright um. just been a little down. and uh. sorry_hear (i'm sorry to hear that). behavior_changes (have you noticed any changes in your behavior or thoughts lately). yeah well my eating pattern like i i'm just i don't have any like appetite i'm just. restless and moody. hmm_downer (hmm). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). when i play with my dog. bouts_symptoms (when was the last time that happened). this morning. aw (aw). more (tell me more about that). i don't know i just. whenever i get. super bored or i just need some time to. for myself i just play with the dog. thats_good (that's good). yeah. ideal_weekendC (tell me how you spend your ideal weekend). trying to be as busy as possible  <laughter>. self_change (what are some things you wish you could change about yourself). oh i wish i had an education and uh. better job. just. time to do those things <laughter>. yeah_downer (yeah). advice_back (what advice would you give to yourself ten or twenty years ago). go to school and stay in school. go to school to learn <laughter>. BF_describe (how would your best friend describe you). i guess uh. i don't know. cool person i guess. Ellie17Dec2012_07 (what would you say are some of your best qualities). i like to joke and just have fun <sigh>. i like to have a good time. okay_confirm (okay). mad_makeyou (what are some things that make you really mad). things don't go my way just. that that really makes me mad <laughter>. give_example (can you give me an example of that). well if i got if i wanna do something. and i just can't. do it uh. that pisses me off. uh_huh (uh huh). no matter what it is it's just <laughter> it's a problem <laughter>. right2 (right). not that i do whatever i want but <sigh>. that hinders the. mm (mm). influence_positive (who's someone that's been a positive influence in your life). positive my sister <sigh>. tell_about_that (can you tell me about that). yeah well my sister she's a good person. okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). proud to still be alive. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/388/388_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/388/388_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/388/388_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). sure. okay_confirm (okay). how_doingV (so how are you doing today). okay. thats_good (that's good). where_originally (where are you from originally). a small town outside of cinncinatti ohio. really (really). when_LA (when did you move to l_a). three years ago. often_backB (how often do you go back to your hometown). uh once a year. compares_LA (how does it compare to l_a). small. why_LA (why did you move to l_a). uh came out here for work grad school. still_doing_X (are you still doing that). yeah trying to. adapted_LA (how easy was it for you to get used to living in l_a). not easy. why2 (why). people suck. tell_about_that (can you tell me about that). prejudice. different. okay_confirm (okay). like_about_LA (what are some things you really like about l_a). weather. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). the flashiness how ridiculously rich everybody is. um. selfishness in people. see_mean (i see what you mean). study (what did you study at school). music. awesome (awesome). hard_decision (how did you decide to do that). um. i guess that's kinda like the only thing i love. dream_job (what's your dream job). um. singing at the metropolitan opera. difficult (how hard is that). pretty hard <laughter>. shyoutgoing (do you consider yourself more shy or outgoing). shy. why2 (why). just always have been. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). not that <laughter>. okay_confirm (okay). what_do_when_annoyed (what do you do when you are annoyed). take a walk. control_temper (how are you at controlling your temper). uh. i'm okay. last_argument (when was the last time you argued with someone and what was it about). uh. three days ago just. some dude cut me off while i was driving. and i laid on my horn and he got pissed off and i got pissed off. oh_no (oh no). landed_trouble (has that gotten you in trouble). mm not really people don't really do shit in l_a they just wanna. act mad but. they don't do anything so. okay_confirm (okay). feelguilty (what's something you feel guilty about). i don't know. hmmB (hmm). situation_handled (tell me about a situation that you wish you had handled differently). i could uh. done more to prepare and work a lot harder for the last set of uh interviews i had in fall. like_what (like what). just i don't know really really up my schedule. my performing schedule and my prep schedule. uh just in terms of. bringing like a piece of music to other people. i don't know i could spend like twelve hours a day working on stuff and training for for music but um. yeah uh you can always do more than that there's always something more you can do. uh_huh (uh huh). so. yeah. memory_erase (tell me about an event or something that you wish you could erase from your memory). mm. uh. my grad school audition at juilliard. tell_about_that (can you tell me about that). it was stressful. it was just like the top. ten people. of the past fifty years in your field. and you're in a room for them and. they'll either. love what you do or hate what you do. been_hard (that sounds really hard). yeah it was pretty shitty. hard_decisionB (tell me about the hardest decision you've ever had to make). uh. deciding to not marry my fiancee and pursue my career instead. change_directions (what made you decide to do that). i don't know. okay_confirm (okay). family_relationship (tell me about your relationship with your family). not bad. family_roleB (how close are you to your family). um. fairly close i guess. thats_good (that's good). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). i can't see. can't see your shoes <laughter>. uh a little bit. travel_changed (what do you enjoy about traveling). uh being in a different place. travel_trips (i'd love to hear about one of your trips). went to san diego. like month and a half ago it's true. cool3 (cool). memorableB (what's one of your most memorable experiences). hm. um. i don't know like the. finishing high school. describe_felt (how did you feel in that moment). glad to be leaving. thats_great (that's great). easy_sleep (how easy is it for you to get a good night's sleep). not easy at all. why2 (why). 'cause i can't sleep. trigger (are they triggered by something). i don't know everything work. myself. the usual. tell_me_about (tell me about that). just have a lot on my plate and a lot to do in order to. get where i wanna be and be who i wanna be so. symptoms_cope (how do you cope with them). working harder. plowing through it. Ellie17Dec2012_03 (that's good). sleep_affects (what are you like when you don't sleep well). i mean i never really sleep well so i don't i don't really know. downer (okay). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no no. depression_diagnosed (have you been diagnosed with depression). not formally. yeah. when_diagnosed (how long ago were you diagnosed). it was about. uh high school-ish. why_seek_help (what got you to seek help). family made me. tell_about_that (can you tell me about that). hm nothing to say really. suspect_problem (did you think you had a problem before you found out). mm. i don't know. symptoms_what (what were your symptoms). same shit now just feeling kind of useless. therapy_going (do you still go to therapy now). no um just not for me. never really has been. stop_going (why did you stop). 'cause i started going to college didn't have to. therapy_changes (what sort of changes have you noticed since you've been going to therapy). i don't know just. haven't really been going recently. feel_lately (how have you been feeling lately). burdened. happy_lasttime (tell me about the last time you felt really happy). uh. i don't know i started learning how to surf it was pretty chill. cool3 (cool). change_directions (what made you decide to do that). uh. just like buddy was doing it so. gave it a shot. BF_describe (how would your best friend describe you). ridiculous. uh_huh (uh huh). mhm. regret (is there anything you regret). just. not being as far along as i wanted to be. advice_back (what advice would you give to yourself ten or twenty years ago). um. don't think about going to law school. uh. get a head start um studying music and. mm (mm). yeah. self_change (what are some things you wish you could change about yourself). um i'd like to put on a good five to ten pounds in muscle uh. i definitely. wanna be further along professionally. uh. yeah. and sleep more. be able to turn my mind off more. okay_confirm (okay). ideal_weekendC (tell me how you spend your ideal weekend). working training. Ellie17Dec2012_08 (what are you most proud of in your life). hm. my dog. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). thank you. bye (goodbye).\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/389/389_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/389/389_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/389/389_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing pretty well um. i have some stressful circumstances going on but um. um right now i'm i'm engaged. thats_good (that's good). where_originally (where are you from originally). i'm from minnesota. really (really). mhm. when_LA (when did you move to l_a). uh thirty one years ago. long_time (that's a long time). half my life. often_backB (how often do you go back to your hometown). um. frequently i've been back there quite a bit. um but over the years not not that often. compares_LA (how does it compare to l_a). um. well it's a a whole different experience you know i i got back there to see my my family and and old friends and uh. so it's uh. l_a is. is home it's nice to return here. mhm (mhm). thats_good (that's good). why_LA (why did you move to l_a). uh to be an actor. still_doing_X (are you still doing that). uh i'm just actually getting around to it i. was in another business for uh. twenty five years and um. now <clears throat> finally i can't put it off anymore. change_directions (what made you decide to do that). um the economy um it's as easy to find work in uh show business it seems as. it is any thing any of the other jobs i've done in the past. yeah3 (yeah). see_mean (i see what you mean). study (what did you study at school). um oh a whole variety of things um but mostly uh having to do with theater. dream_job (what's your dream job). uh. well to to be a successful actor you know would be nice and. okay_confirm (okay). shyoutgoing (do you consider yourself more shy or outgoing). uh outgoing. with elements of shyness. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um. well i i. i read and i cook. and um. um. that's mm that's about it uh. uh. i oh i'm a big radio listener is uh to uh. um talk radio uh. national public radio and uh. more uh. and not uh. crazy stuff um the sensible. listening uh nice content uh interesting human interest. nice (nice). uh mhm. like_what (like what). oh um. well i'm i also i i. um. a comedian <cuh> comedian and so i like to listen to radio shows that have comedy. mhm. like uh. okay_confirm (okay). control_temper (how are you at controlling your temper). um. i'm pretty good i mean i'm not perfect but i i i i can get very upset. mhm (mhm). last_argument (when was the last time you argued with someone and what was it about). oh probably with my wife about um. my uh. <clears throat> methods of of job hunting and like that. difficult (how hard is that). it's um. it's difficult um. she uh um. we're we're very different and uh have very different. m_o's and uh. so uh. uh. for me to uh. um. do things my way is is not always easy. yeah_downer (yeah). situation_handled (tell me about a situation that you wish you had handled differently). oh um. well just the other night i i was uh performing in a nightclub and had an opportunity to uh introduce myself to a. a very famous person and i um i didn't do it. why2 (why). um. uh i'm not sure i'm i guess uh. i didn't know if it would be appropriate to approach him. understand (i understand). hard_decisionB (tell me about the hardest decision you've ever had to make). hm. i can't think of uh. i can't think of one um. okay_confirm (okay). family_relationship (tell me about your relationship with your family). um. well. <clears throat>. i've been married for it'll be twenty four years in uh july. wow (wow). which is a couple of months and um. uh my wife and i have not been sleeping in the same bed for about three years. and um. but we have a uh. a very high achieving daughter who's going to graduate from high school. uh this this spring and um she's just a. uh. gotten accepted at a college that she. wants to go to with a very nice uh scholarship. thats_great (that's great). mhm. easy_parent (do you find it easy to be a parent). um yeah well. uh <laughter> my daughter's been very low maintainance for me um perhaps more so for my wife but she's always been uh an excellent uh. uh child. mm (mm). parent_differences (what are some ways that you're different as a parent than your parents). um. mm. <clears throat>. well we're more similar i think than different uh i'm well i'm much more uh. aware of. what's happening in the world and and much more informed than my parents were. um. but uh as in terms of child rearing i think um. i don't know we're all we've all been kind of hands off and um. uh my wife has been more hands on. yeah3 (yeah). parent_hardest (what's the hardest thing about being a parent). um. uh well the financial responsibility it um. wanting to uh. make sure that your child has everything that. her peers have and. uh. not wanting her to uh. um. not have the same. as her friends. mhm (mhm). and she has uh. very wealthy friends so that's um. uh. i am not a uh. a gifted money maker. and. so uh it's a it's a a struggle but uh we we we keep on keep up. Ellie17Dec2012_03 (that's good). influence_positive (who's someone that's been a positive influence in your life). um. oh a couple of different um. one preacher um. uh whose church i attended for about twenty years until he died um. um was very influential and also another. spiritual guru uh. um. that uh. sort of. put me on a path to breaking patterns of behavior that uh. were kind of dictated by my upbringing. like_what (like what). oh just um. well instead of working for somebody else being able to um. start a business and and be in business for yourself and and to uh. um. you know not be dependent on uh. um. just one source of income. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). oh. meeting one particular woman um when i first got out here. tell_me_about (tell me about that). um. she left me uh less than healthy. um physically. sorry_hear (i'm sorry to hear that). and uh. yeah. easy_sleep (how easy is it for you to get a good night's sleep). um well i. i self medicate to go to sleep. which i probably don't have to do but i um. uh about half the nights i i wake up um. much earlier than i would like to. why2 (why). oh usually um just mostly to have to go to the bathroom um. okay_confirm (okay). sleep_affects (what are you like when you don't sleep well). um. well i i i. cope pretty well i i guess i'm just not quite as functional as i'd like to be. um there are a couple of nights a week. when i work until <sniff> two o clock from in the morning and don't get to bed until three and and then i. um. normally if i i i need seven hours if i only get five or six then i'm you know sluggish and. okay_confirm (okay). feel_lately (how have you been feeling lately). um. very anxious. tell_about_that (can you tell me about that). well um i have. big um. uh i have bills to pay and um not a lot of income coming in. been_hard (that sounds really hard). yeah it's um 'cause i don't like to. fall behind and. um i feel like i'm. worried about losing ground and um the stakes are are high and. uh. so. uh. it's an uncomfortable position. yeah_downer (yeah). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). um i am a classic um. depressive uh. and um. yeah i guess i have i i guess i have i see <s> i do see a therapist and uh. um. though <clears throat> mm. the mm therapist i'm seeing now is not trying to um prescribe drugs. or medications um and uh. previous ones have. when_diagnosed (how long ago were you diagnosed). uh probably. um six years ago. why_seek_help (what got you to seek help). um. well my wife kind of pushed me into it um she thought. um. it was uh a way of. i think getting help finding work. and um. it's. not as uh it's just uh. good <g> uh uh. enjoyed uh having someone to talk to. Ellie17Dec2012_03 (that's good). suspect_problem (did you think you had a problem before you found out). um. not really. yeah. symptoms_what (what were your symptoms). oh um. just uh. kind of. not wanting to uh. face the day just kind of wanting to. um. just uh kind of a weariness with the struggle uh and um. just uh i. displeasure with my life. mhm (mhm). therapy_going (do you still go to therapy now). yes. therapy_useful (do you feel like therapy is useful). they're what. therapy_useful (do you feel like therapy is useful). i don't understand that word. therapy_changes (what sort of changes have you noticed since you've been going to therapy). oh um. well i. um. it's. something i look forward to because um. i i feel like i'm. talking to someone who um understands me. yeah3 (yeah). happy_lasttime (tell me about the last time you felt really happy). mm. um. i i can't i i don't know um. um. well. each little um. acting gig that i get makes me. happy but uh. you know just mildly happy and they usually turn out to be disappointing experiences and so um. uh i never. over. excited <ex> excited. um with happiness uh. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). mm. um. well um yesterday i i made a a dessert uh to celebrate my daughter's uh scholarship and uh. it was delicious and and we really enjoyed that. aw (aw). good_hear (that's so good to hear). mm. regret (is there anything you regret). um. hm no um. except meeting that one woman. uh. advice_back (what advice would you give to yourself ten or twenty years ago). uh. i don't know probably. try a little harder you know <fidgeting with mic>. uh. i had started this business um. um. around that time. and um. it was it was um just it was difficult but uh we were successful at it and um. uh i guess i could've gotten it. rolling even more. um. so that it wouldn't be so um. dead today. downer (okay). ideal_weekendC (tell me how you spend your ideal weekend). oh um. getting out of town um. going. going away when uh when uh which is rarely possible but uh. yeah. Ellie17Dec2012_08 (what are you most proud of in your life). um. well my daughter's a great source of pride and um. um. the fact that i've been. pretty successful in uh my endeavors. um and now i'm just uh. going for the the big. the big apple. and uh. uh and i hope to be successful there too. thats_good (that's good). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). okay. you're welcome. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/390/390_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/390/390_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/390/390_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing fine. thats_good (that's good). where_originally (where are you from originally). california here in los angeles. really (really). mhm. like_about_LA (what are some things you really like about l_a). um i love being near the beach um i love the beach. i love um living in a big city. mhm (mhm). um. and i love the fact that i have lots of friends and family here. dont_like_LA (what are some things you don't really like about l_a). mm traffic. um. just so many sometimes too many people. but apart from that i i'm generally happy here. okay_confirm (okay). study (what did you study at school). photography and language studies. sounds_interesting (that sounds interesting). mhm. hard_decision (how did you decide to do that). um i love photography. i was always interested in it and studied it in high school as well so i wanted to continue to learn more about it. and with languages i come from a mixed background so i wanted to learn the languages of my ethnic background. difficult (how hard is that). it's um it wasn't hard it was a passion so i enjoyed it. still_working_on_X (are you still working in that). i'm not no. dream_job (what's your dream job). um to do photography full time and also to do some of the things that i'm passionate about um more creatively more creative things. like_what (like what). i have an idea i'd like to do um some <s> make some robe <r> ah like a robe line um women's robes and things like that. awesome (awesome). mhm. travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). i have i've traveled quite a bit and i enjoy <en> i love travel. travel_changed (what do you enjoy about traveling). um seeing different cultures different countries um. meeting new people all of that. travel_trips (i'd love to hear about one of your trips). and the language. um i lived in greece for um <tisk>. over a year i taught english there and um <sniffle> i moved around to different parts of greece and uh really had a great time. memorableB (what's one of your most memorable experiences). i think um. just having my group of friends that i met there and going through with the experience with them. um i think one of my most memorable experiences was going to elafonisos in a car with everybody and um and having a just a fantastic time. great_situation (that sounds like a great situation). yes it was. shyoutgoing (do you consider yourself more shy or outgoing). um i think i'm shy to begin with and um and as i get to know people then i'm much more outgoing. uh_huh (uh huh). study (what did you study at school). photography and language studies. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. <deep breath> um i just stay at home uh maybe watch a movie um. rest in bed. watching a movie in bed that's probably one of the things that i like to do to relax. okay_confirm (okay). control_temper (how are you at controlling your temper). i think very good <laughter>. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). <deep breath>. um it was probably with my boyfriend um. uh regarding money issues. feelguilty (what's something you feel guilty about). um i need to i feel guilty about not generating as much income as i need to right now. tell_about_that (can you tell me about that). i'm having some struggles in my career right now. and um financially it's becoming very difficult. im_sorry (i'm sorry). been_hard (that sounds really hard). yeah it has been it's been difficult but i've been working very hard to um to remedy that <sigh>. Ellie17Dec2012_04 (that's great). Ellie17Dec2012_04 (that's great). give_example (can you give me an example of that). so well i'm here and um i'm doing this this focus study i'm doing um many things to generate more money working harder but looking for other ways to generate money outside of my my career. mhm (mhm). memory_erase (tell me about an event or something that you wish you could erase from your memory). um. probably being raped. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. disturbing_thoughts (do you have disturbing thoughts). sometimes. trigger (are they triggered by something). um not that i'm aware of. feel_lately (how have you been feeling lately). <deep breath> um i been feeling stressed <sigh> um. i been feeling um. <deep breath> been feeling stressed and and worried. easy_sleep (how easy is it for you to get a good night's sleep). i don't seem to have any problem with it <laughter> i seem to get a good night's sleep almost every night. thats_good (that's good). mhm. sleep_affects (what are you like when you don't sleep well). um grumpy and and lethargic and um in the morning. situation_handled (tell me about a situation that you wish you had handled differently). hmm a situation i wish i would handle differently. um. i really can't think of one right now. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). <laughter> the hardest decision um that i've ever had to make. it was probably um deciding to not have a a child. tell_about_that (can you tell me about that). well um i was pregnant um and um. wasn't sure <sigh> whether or not i should continue the pregancy um. and that was also due to financial burden and um. the father who i was involved with did not want the child so i made that very very difficult decision. yeah_downer (yeah). happy_lasttime (tell me about the last time you felt really happy). hmm. <deep breath> really really happy <sigh>. i know when i went to um cancun um on a holiday um over the new year um new year period new year holiday. describe_felt (how did you feel in that moment). <deep breath> i felt <sigh> absolutely fantastic i felt happy i felt relaxed um. i felt like i didn't have a care in the world temporarily. um. eh free. thats_great (that's great). self_change (what are some things you wish you could change about yourself). <deep breath>. um i wish i could um. be a little bit stronger and more assertive. definitely more assertive. Ellie17Dec2012_07 (what would you say are some of your best qualities). um i would say i'm a wonderful wonderful friend. um. mm i when i love somebody you know i love them very deeply friends family um. boyfriend. um so i think that's good i'm very loyal as a friend. um i'm honest i care about people. um. i'm fun to be with so i think those are some of my best qualities. mm (mm). family_relationship (tell me about your relationship with your family). <deep breath> um my relationship with my family um with my father is not so great. um my parents were divorced when i was young and he's sort of been in and out of my life you know forever. uh mostly out. so that's um it's not fantastic but um but it's something that i'm used to so it's not. as painful as it would be had he been there and then i lost him but it's it's still it's still um. it's still not the best situation i mean i still wish that could be um remedied somehow. yeah_downer (yeah). scrubbed_entry. so there's good and and bad relationships in my family. influence_positive (who's someone that's been a positive influence in your life). scrubbed_entry. someone that's been there for me since i was very very young. and has always been just incredible and i love her so much. aw (aw). advice_back (what advice would you give to yourself ten or twenty years ago). <deep breath> um ten or twenty years ago um. i would've told myself to work harder then and not have so much fun so i don't have to work so hard now. okay_confirm (okay). regret (is there anything you regret). i i regret exactly that i regret um not taking my career seriously earlier on. um because now it's it's been um. it's been much harder. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). um. i think it was taking the kids to the pier um and spending some wonderful time with them. and making them happy. that was probably a great time um one of the best times in the last few weeks. kids_elaborate (tell me about your kids). scrubbed_entry. and uh. and they're they're great kids. easy_parent (do you find it easy to be a parent). um no i think the they're it's challenging. um it is more difficult because they're stepchildren so there are some um. times when i'm not sure exactly how much um to get involved and how much not to get involved. but i'm we're very lucky because they are really good kids they do tend to fight a lot but um. but i but it's not as difficult as um as i think some other parents have it. thats_good (that's good). mhm. parent_differences (what are some ways that you're different as a parent than your parents). <deep breath>. um i made it make a make a conscious effort. not to um. <laughter> not to punish them um or over-punish them. i make a conscious decision not to um scream at them the way that i was screamed at i was screamed at a lot as a child. and um it was really it was really difficult so i make sure not to do that. Ellie17Dec2012_08 (what are you most proud of in your life). um i think i'm most proud of the fact that i've um been able to. travel the world um. and live in other places many many other places um around the country and around the world. and um. the fact that um i learned several languages. um. and the fact that i've been able to maintain um. really long long long relationships with my friends. mhm (mhm). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). thank you. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/395/395_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/395/395_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/395/395_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing really good. thats_good (that's good). where_originally (where are you from originally). i'm from granada hills california it's um the san fernando valley part of los angeles. cool3 (cool). like_about_LA (what are some things you really like about l_a). i love the weather i like the diversity in people i like how you can go to a neighborhood and it's just not just one race or. kind of food i love the beaches. all the activities you could go do theme parks. mhm (mhm). aquariums stuff like that museums. dont_like_LA (what are some things you don't really like about l_a). the smog. um. there's a lot of creepy guys <laughter>. see_mean (i see what you mean). <laughter>. travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). i've pretty much traveled around l_a i've been cross country and back three times twice was when i was seventeen. wow (wow). travel_changed (what do you enjoy about traveling). i like meeting new people and trying different foods and seeing how other people live. travel_trips (i'd love to hear about one of your trips). um when i was seventeen i ran away with my boyfriend to upstate new york to watertown it was uh. like a navy army kind of town. we had an apartment there it snowed a lot. we sold antiques for a living. awesome (awesome). <laughter>. memorableB (what's one of your most memorable experiences). um getting passes press passes for the sunset strip music festival through a friend. and getting to meet rockstars and hang out at like the private parties. great_situation (that sounds like a great situation). <laughter>. shyoutgoing (do you consider yourself more shy or outgoing). i'm very outgoing i love people. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um i go to the gym and work out quite a bit i find it helps relieve stress and. keeps my energy level going i realized <rea> noticed if i don't work out a couple days i feel a little more tired than normal and. it just helps me feel good. mm (mm). control_temper (how are you at controlling your temper). i'm pretty good at it i'm very calm um i worked a lot of events and. jobs where you're dealing with like thousands of people a day and people you need to talk to and you have to remain calm and. you know they're the customers so you have to make them feel wanted and. good and realize that you're getting paid 'cause the money they're spending so. i'm good at resolving <reso> resolving like consumer conflicts and stuff on the job. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). i had a drunk friend that was just. falling around and yelling and saying rude things to people and i kinda. started getting loud like just telling her to stop doing that and that she was embarrasing and what she was saying to people was very mean you know. and i wonder like if you're talking to people like that. they might not like it and they could attack you or something you know you never know it is l_a. yeah_downer (yeah). that_sucks (that sucks). <laughter>. feelguilty (what's something you feel guilty about). i really don't feel guilty about anything decisions i've made in my life i've. think i've made really good decisions and i always stick with my moral compass what i'm doing i grew up in church so. i haven't gone in years but i still have those values and. you know the rules the ten commandments and stuff in my head. mhm (mhm). situation_handled (tell me about a situation that you wish you had handled differently). i had a slum lord landlord and um. i wish that i called you know the proper authorities and. followed through on a court case instead of letting him like kind of bully me out because it wasn't up to code. yeah_downer (yeah). hard_decisionB (tell me about the hardest decision you've ever had to make). i. a few years back i was dating a guy and he wanted me to move back  to where he was from. and after a few months you know he was coming to l_a and going back home i. decided to move there and i had just started. you know this business i was doing event planning was picking up and i decided to leave there. and try to do it there and  you know on the east coast and it didn't work out but. it was tough deciding like should i leave l_a and make this. jump and trace something new and experience something new or stay in what i was doing. yeah_downer (yeah). study (what did you study at school). i was i had a degree in dental assisting i did that for like a year i didn't like it and then i was studying communications. like radio and television broadcasting and journalism. still_working_on_X (are you still working in that). um somewhat i'm doing event work and i wrote for a magazine a couple years and i'm trying to like. get a website going and then have like where i'm controlling my own writing and what's going on instead of. you know writing <wri> writing for someone else. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). i always wanted to write and was always into the news and music and art growing up i really like connie chung. she was like a channel four newscaster in the eighties and i love barbara walters. mhm (mhm). thats_great (that's great). i was a nerd no <laughter>. family_relationship (tell me about your relationship with your family). um my sister she doesn't talk to any of the family. and i have a good relationship with my mom um i never really knew my dad it doesn't bother me. i have cousins and stuff but everyone's scattered across the country so i don't really talk to them on the phone we just communicate on facebook  or like twitter. yeah3 (yeah). easy_sleep (how easy is it for you to get a good night's sleep). oh i go right to sleep. when i get tired i just go to sleep. feel_lately (how have you been feeling lately). pretty good energetic i've been motivated to go look for more event work you know event planning stuff and. really grinding in more than i was. difficult (how hard is that). i mean it's kinda hard 'cause you gotta talk to people and get them to trust you and. see that you could plan events and meet people and convince them why they should pay you to do their event than someone else. mhm (mhm). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). i mean i'm generally pretty happy unless something devastating happens like someone gets cancer or someone i know dies. i wouldn't say that i'm just. okay_confirm (okay). super like oh my god happy all the time but it's like an even. keel that i feel pretty good all the time. yeah3 (yeah). Ellie17Dec2012_07 (what would you say are some of your best qualities). i'm very talkative and friendly and i could approach strangers and talk to them at ease and. i could adapt to different situations and even if i it's not my scene. or situation or group of people that i'm used to i could still jump in. talk to people and be comfortable and make friends and adapt. uh_huh (uh huh). self_change (what are some things you wish you could change about yourself). i wanna make more money <laughter>. wild_laughter3 ((laughter)). me_too (me too). <laughter>. feelbadly (tell me about a time when someone made you feel really badly about yourself). i remember in like second grade this people used to make fun of me 'cause i was very tall and skinny and i had like. straight a's one of the highest grades in the class so. people would make fun of me and call me giraffe or. stuff like that. aw (aw). <laughter>. BF_describe (how would your best friend describe you). very talkative she would just say that i talk to everyone. <laughter>. and that i'm very friendly and if you need help. that i'll help someone you know. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). oh recently i went up to oceanside and visited a friend i've known years and. we just went out for burgers and hung out on the beach and. we got her two year old son and like took him to the park and played and. it was really nice and it was cool visiting her i hadn't seen her in six months and. it was really fun and i wanna go again and. great_situation (that sounds like a great situation). i like the area. mhm. feelguilty (what's something you feel guilty about). i. guess maybe i could be trying to find my own work more like for my business instead of working for other people. i think i pursue it but i think maybe i could put a little more time a day into it. see_mean (i see what you mean). memory_erase (tell me about an event or something that you wish you could erase from your memory). i don't really know anything like. that i would wanna erase or not happen. okay_confirm (okay). regret (is there anything you regret). no i feel good about my choices i've made and i think i'm on the right path and. a lot of things i wanted to do then balls rolling and i'm getting <g> you know getting things done i'm not as big as i wanna be but i feel like i'm on my way there. yeah3 (yeah). advice_back (what advice would you give to yourself ten or twenty years ago). um like ten years ago i would've told myself to work more in the daytime instead of going out as much as i was. influence_positive (who's someone that's been a positive influence in your life). um my friend we call mojo. tell_about_that (can you tell me about that). <laughter>. um mojo has a magazine and i just wrote years and. he really pushes me to like keep writing and keep doing events and keep on the ball i'm rolling and. he's one of the biggest people you know in my life telling me you're talented. you could do it you know he's just a really. good like motivation for me. mhm (mhm). thats_great (that's great). Ellie17Dec2012_08 (what are you most proud of in your life). <laughter>. you know being published i've been on t_v shows and just getting my own event thing going and. i have a lot of people who read what i write every day and follow on i just think it's a you know it's not exactly kinda where i wanna be but it's a great start. and i worked to get to that point. yeah3 (yeah). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). great thanks. bye (goodbye). <laughter>.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/403/403_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/403/403_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/403/403_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). doing good. thats_good (that's good). where_originally (where are you from originally). new york city. really (really). when_LA (when did you move to l_a). well uh. originally i was born here but uh. spent some time back east and um moved back here and um. basically sort of raised here so. been here a while and i'm enjoying it. cool3 (cool). like_about_LA (what are some things you really like about l_a). there's great weather and um. uh amusement parks a lot of scenery a lot of people. uh a lot of energy and excitement. there's so many things to really like about l_a. yeah3 (yeah). dont_like_LA (what are some things you don't really like about l_a). see uh a lot of congestion and pollution. mm (mm). see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). i i try to but no i don't. travel_changed (what do you enjoy about traveling). uh. it's nice to be on the open road with uh. mm potentially <potelingly>  time to think about my own life. uh_huh (uh huh). shyoutgoing (do you consider yourself more shy or outgoing). shy. why2 (why). sometimes i find it hard to express my own thoughts. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). well you mentioned a fish tank and uh. i view spent some time in a. many waiting rooms where there's been fishtanks and uh. uh so staring at fishtanks could be one of them. uh but i also enjoy walking or. uh lifting weights reading going to movies just to say a few things. thats_good (that's good). control_temper (how are you at controlling your temper). uh good. moderate uh good um. in control. last_argument (when was the last time you argued with someone and what was it about). argued about today okay last argument was today. just before i got here. and it was. about um. having about how do i say this about taking them to a bus stop about uh. how uh making an arrangement. okay_confirm (okay). feelguilty (what's something you feel guilty about). feel guilty about. not taking better care of my pet. tell_about_that (can you tell me about that). sure i i like birds so one of my pets was a bird. uh as of recently. and. i. let my bird out into the wild. and. sort of wish i had planned for better. um. future for the for the bird. uh only because now i sort of wish the bird. was uh closer to me. isee_downer (i see). situation_handled (tell me about a situation that you wish you had handled differently). hm. i would say. i get into arguments with people close to me friends. and. sometimes i i don't handle them well. i am more. reactive. so i wish uh i'd like to see myself improve on that. landed_trouble (has that gotten you in trouble). uh no. um at least not you know in any sort of legal trouble but uh. i think it's you know it's kind of. not the way that i would like to have handled it. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). guess the hardest decision was about to. of. how to. proceed with. moving forward eh on. a. job opportunity. Ellie17Dec2012_02 (uh huh). tell_me_about (tell me about that). i had to. decide whether. if i would. suffer more emotional pain by leaving. my family and whether the financial gain and. uh knowledge. of that experience would over outweigh the benefit. been_hard (that sounds really hard). happy_didthat (are you happy you did that). uh yes yes i am. thats_good (that's good). family_relationship (tell me about your relationship with your family). well i it's a small family but um. have a mother and a. uh sister and a brother. and uh two younger nieces. older they're they're grown adults. uh it's a it's a good relationship. and. uh. things could be better. um sometimes it's sort of difficult pain. staking. uh relationship at times. why2 (why). there's uh some days i'm. i need time for myself and i. would rather give the time to. other people rather than to take time for myself which has been my experience. uh and so. that has caused me a lot me a lot of emotional. pain uh a little bit of spiritual. uh anxiety about my future if i continue to do that sort of thing. yeah_downer (yeah). memory_erase (tell me about an event or something that you wish you could erase from your memory). wow there's so many things <laughter> what about you i don't know anything about you. i would say uh well there's there's a few um. but of recent i um. well. things are going pretty good i'm. can't really say there's anything as of yet that i would really want to change or or have anything to regret on that i can remember. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). it's been pretty good. and uh. it's uh i'd say it's okay uh. i'm handling my sleep pretty well. sleep_affects (what are you like when you don't sleep well). when i don't sleep well sometimes i can be irritable um. sometimes it's okay uh. and uh would say if. there's also times where i'm. unhappy. so. i try to. get as much sleep as i need. okay_confirm (okay). military (have you ever served in the military). yes. old (how old were you when you joined the military). i. believe i was uh nineteen. and uh. i'm glad i did it. very_young (you were very young weren't you). yes uh. sort of but uh yes. combat (did you ever see combat). no. effectB (how did serving in the military change you). um well uh. i guess i suppose it made me a more confident person and more. um. in tune with uh. uh the country that i'm living in and people. uh. to be more noticeable more watchful of where i live. mhm (mhm). memorableB (what's one of your most memorable experiences). um hanging out with some friends uh. on a really nice weekend and uh on a boat. uh or on a skiff a really small boat and um. trying to fish in. nice (nice). describe_felt (how did you feel in that moment). i felt uh free or alive um happy. um uninhibited. uh strong confident uh mature. mhm (mhm). after (what did you do after the military). after the military. uh after military. took some time to evaluate my. my thoughts and uh. my future and um. just sort of took uh the necessary steps uh to move ahead. difficult (how hard is that). uh it's sort of hard it is. um. civilian_life (how easy was it for you to go back to civilian life). uh it wasn't easy uh. a lot of family uh help and um and community. and uh. so it took some adjusting but it wasn't easy. understand (i understand). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). uh no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). uh you know. this week um. partially today. happy's. uh happy sort of often not too happy but. content. happy. uh_huh (uh huh). happy. i don't know uh not usually too happy. try to stay. on the center line. okay_confirm (okay). ideal_weekendC (tell me how you spend your ideal weekend). do a weekend. um up early. um get out enjoy the day um. hook up with some friends. and uh. doing a little bit of socializing. and uh. maybe get some form of uh. view some form of artistic expression. mhm (mhm). like_what (like what). there's a maybe a like a museum or uh stare at some art or. uh maybe something in the local community. maybe street art. and uh. or perhaps something with music or. uh. something something of that nature. okay_confirm (okay). self_change (what are some things you wish you could change about yourself). i wish perhaps uh some things that i could change about myself um. make. more decisive about decisions. and uh something else um. that i. had the same ability for a knack for. uh for meeting more people i suppose. mhm (mhm). BF_describe (how would your best friend describe you). as best friends describe me i don't know um. nice friendly. uh. trustworthy sociable. advice_back (what advice would you give to yourself ten or twenty years ago). uh. the same advice i'd give myself <laughter> today. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). something wow. uh. i really enjoy spending time with my girlfriend and her two children. and that was yesterday. and i'm glad i did that it was a good time for everybody. thats_great (that's great). Ellie17Dec2012_08 (what are you most proud of in your life). uh i'm proud i went into the military and um. i'm glad i did that it was a good experience. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). bye thank you.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/404/404_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/404/404_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/404/404_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). <laughter>. yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing good. thats_good (that's good). where_originally (where are you from originally). i'm originally from southern california. really (really). like_about_LA (what are some things you really like about l_a). i like the um downtown theater district i like the beaches i i like the variety of stuff that you can do in one day. mhm (mhm). <clears throat>. dont_like_LA (what are some things you don't really like about l_a). hmm. well sometimes i don't like the traffic. i don't think there's really too much i don't like about l_a i really do like l_a though. okay_confirm (okay). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). <laughter>. no i i haven't really traveled in about um five years. why2 (why). oh i just haven't been able to travel um. i just haven't traveled <laughter>. okay_confirm (okay). travel_changed (what do you enjoy about traveling). <deep breath> um i like going to new places and seeing things i haven't seen before and if i can like visiting um. places like landmarks. travel_trips (i'd love to hear about one of your trips). well the last one i did was san francisco that wasn't so far but i got to stay in downtown san francisco and i got to go shopping. and i got to get on a um the street car so that was cool. nice (nice). xxx. study (what did you study at school). well i still study i'm studying psychology. sounds_interesting (that sounds interesting). mhm. hard_decision (how did you decide to do that). hmm. well <sigh>. i decided to go back to school um just pretty quickly so i went to junior college. and then when it got close to graduate i knew i wanna transfer so. i'd taken a a couple psychology courses and i decided i liked it so i just decided to make that my major. and it. i thought it didn't have a lot of math but it had. enough math <laughter> so. yeah3 (yeah). happy_didthat (are you happy you did that). <deep breath> mm <sigh> well now that i'm almost done. i don't know if i'm gonna continue in that area. understand (i understand). dream_job (what's your dream job). well what i wanted initially was to um <sigh> get into sports psychology but i'm not. quite sure that's what i want either. okay_confirm (okay). shyoutgoing (do you consider yourself more shy or outgoing). well. i could be shy initially but um once you get to know me i'm outgoing. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. <laughter>. <sigh> i think i either go to sleep eat something really really good or watch something on netflix. like_what (like what). well just a good movie i like foreign movies a lot um so a lotta. right now i'm into um martial arts movie with subtitles so. cool3 (cool). control_temper (how are you at controlling your temper). i think i'm pretty good. last_argument (when was the last time you argued with someone and what was it about). hmm. you know i know. they're not really long arguments i don't know if they're real arguments i know i argued with my boyfriend um <laughter> 'cause he hung up in my face but i don't know why and it got solved pretty quickly so i don't know if it was really that important. okay_confirm (okay). wait i walked out without say oh okay. situation_handled (tell me about a situation that you wish you had handled differently). hmm. i can't think of one right now. hard_decisionB (tell me about the hardest decision you've ever had to make). <sigh>. i think. the hardest decision i probably had to make. was moving. from well back to california from oregon. tell_about_that (can you tell me about that). well i was really young so i was um. nineteen twenty-ish and i was really by myself so that was pretty hard 'cause obviously i had to support myself. change_directions (what made you decide to do that). because it was really really boring in oregon so um i really like the activity here in l_a. see_mean (i see what you mean). feelguilty (what's something you feel guilty about). you know i don't really feel guilty about many things. okay_confirm (okay). family_relationship (tell me about your relationship with your family). well i don't talk to them that much um my dad my stepmom live in oregon so i probably talk to 'em on the phone at least once or twice a month. and then when they come out here i wanna say at least once a year sometimes it can be twice you know occasionally more but not too often then i see them. um. that's about it but i'm pretty much the only one out here my brother is also up there as well. yeah. mhm (mhm). influence_positive (who's someone that's been a positive influence in your life). hmm. well i've had lots of positive influences i think um. just regular people i come across you know maybe someone i've worked with maybe. um like oh actually my uncle he's a really good positive influence he um he knows quite a bit has lots of good advice. like_what (like what). mm about <bout> life. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. you know i don't really think i've had anything that bad happen to me where i just don't uh. where it bothers me so much i have to not think about it. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). pretty <pret>. well i can't say pretty easy 'cause i work odd schedule and then i go to school but um. yeah if i wanna go to sleep i sleep really well though as long as i have enough you know hours. thats_good (that's good). feel_lately (how have you been feeling lately). really really happy and good. good_hear (that's so good to hear). <laughter>. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). nope. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). <deep breath>. i'm always happy uh <laughter> gosh yesterday. tell_about_that (can you tell me about that). um i'm just happy any time i talk to my boyfriend or if i go out and do something i'm just happy um i got off work i'm happy 'cause i'm done for the day i'm just really happy. um i'm on spring break i'm really happy right now so. awesome (awesome). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). <deep breath> hmm <sigh>. oh i haven't done like any really extremely fun activities unless you consider going out to eat. but the last activity. that i had a lot of fun doing was ice skating um in december downtown <dow> in downtown l_a. wow (wow). regret (is there anything you regret). no i don't really have too many regrets i mean whatever happens happens and you know it was meant to play out that way. advice_back (what advice would you give to yourself ten or twenty years ago). hmm. well um. i guess i would say don't worry too much about the small things um. even though they seem really big it really they really are insignificant and uh. you won't think about it six months from now. okay_confirm (okay). Ellie17Dec2012_07 (what would you say are some of your best qualities). i think my. best qualities are i'm a happy person i'm a fun person i'm pretty easy to get along with i think most people like me. and i'm just a cool person. self_change (what are some things you wish you could change about yourself). hmm well i wish i could study more i wish i would study more. i wish that uh <sigh> i would exercise more. and i wish that uh that's. yeah i think that's it right there. feelbadly (tell me about a time when someone made you feel really badly about yourself). hmm. <sigh>. i don't think i wanna talk about that. okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). hmm. i don't know i guess uh just taking care of myself supporting myself not having to go back home i guess that's about the best accomplishment there is. thats_great (that's great). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). thank you. bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/406/406_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/406/406_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/406/406_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing okay. thats_good (that's good). where_originally (where are you from originally). i'm from greenwich connecticut. really (really). yes. when_LA (when did you move to l_a). um i moved here in two thousand eight so about five years ago. often_backB (how often do you go back to your hometown). um i try to go back at least once a year sometimes i go more sometimes less. mhm (mhm). compares_LA (how does it compare to l_a). um overall i think i like where i'm from better than l_a in general. why2 (why). um. i think that. other than it being somewhere i'm familiar with the type of people that are there. are just more my. type and what i'm used to and. it's less superficial. understand (i understand). why_LA (why did you move to l_a). <tisk> um i moved out here for college after i graduated high school and my mom and sister live in california. adapted_LA (how easy was it for you to get used to living in l_a). um initially it was easy because i felt like. it was a new experience so you kind of adapt and just. are experiencing everything at once but then after the first few years when it really sets in. how different it is and. what life is out here it became more difficult than originally. mm (mm). study (what did you study at school). uh fine arts and photography. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). um i was interested in photography since high school um i did a lot of programs and. got awards and things like that and publishments. so i decided to pursue art. still_working_on_X (are you still working in that). um yes i have a fine arts degree that i got last year and. scrubbed_entry. awesome (awesome). happy_didthat (are you happy you did that). yeah i really enjoy working or interning in forensics um. i like that better than initially what i wanted to do was freelance photography. i feel like it's a more secure job and it's very interesting. memorableB (what's one of your most memorable experiences). um. that's a interesting question. i guess just my childhood in general. growing up. tell_about_that (can you tell me about that). um well my family's very close. um. my extended family as well and they all live <li> most of them live. within the area or in the east coast in general so we would always do large family uh parties and things for holidays and religious purposes and things like that. great_situation (that sounds like a great situation). yeah it is really fun and we try and all get together as much as possible which is. more difficult now since everyone is spread out amongst different states and countries. yeah_downer (yeah). shyoutgoing (do you consider yourself more shy or outgoing). um i consider myself more shy. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um. i. watch reality television i think it's kind of funny and lighthearted. like_what (like what). um i watch like bravo t_v like the real housewives shows and. just like funny things that you don't really need to pay attention to. okay_confirm (okay). control_temper (how are you at controlling your temper). um. i'm good i guess i don't really have like a temper if i'm having. if i'm more stressed out it it definitely shows in in my attitude it but i don't really have like anger. uh_huh (uh huh). last_argument (when was the last time you argued with someone and what was it about). um. well me and my boyfriend like bicker all the time <laughter> just like about like. insignificant things. but other than that. um i had an argument with my dad a few days ago. tell_about_that (can you tell me about that). um. there's been like some tension going on. since i went and visited over the holidays this past winter. things about his girlfriend and. he thinks that i should be the one to make some kind of effort to. have a relationship with her although he doesn't for whatever reason think that it should go both ways. so for like the thirtieth time he. we were on the phone and he was. <sigh> telling me how i need to call her and speak to her and i told him that i was going to do it over this past weekend 'cause of the jewish holidays and. he kind of was just like very mature and telling me oh forget it she doesn't want to hear from you now and kind of just like i could care less because i. i don't care about having a relationship with her so if she doesn't wanna hear from me you know it's easier for me. yeah_downer (yeah). that_sucks (that sucks). um. situation_handled (tell me about a situation that you wish you had handled differently). i mean every time <t> i mean it's been the same recurring argument a lot and i wish. that i could sometimes i do but i wish that the times that it turns into an explosive fight that i could just bite my tongue. but the thing is is that he says. certain things that are untrue. or things he knows that like will tick me off. that are really nasty and. that he shouldn't be saying to me so he. so i kind of just like lose it and i can't really. mm like not say anything. yeah_downer (yeah). im_sorry (i'm sorry). hard_decisionB (tell me about the hardest decision you've ever had to make). um. well i guess the hardest decision i made which i it didn't. i only realized that it's the hardest decision like looking back is once you decide where to. after you graduate high school where to go to college because for me i basically. changed my entire life and moved away and did all that on my own. so it didn't seem like that hard of a decision at the time it felt like just like a progression of the next step but looking back now. that's probably one of the hardest decisions i made. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). um. well i wish i could erase. the event or seeing. my grandmother's funeral which. obviously it wouldn't change anything. but. it wasn't. seeing her there was not something i'd wanna. like have in my memory. yeah_downer (yeah). influence_positive (who's someone that's been a positive influence in your life). um she was she was a very positive influence and always. was not judgmental. um. and now i mean my parents are great role models just in general i mean they're very successful people. so whether or not we have like disagreements or that we're separate people. they kind of are good role models in terms of what you wanna have when you. are older. mhm (mhm). easy_sleep (how easy is it for you to get a good night's sleep). um usually it's easy the problem is staying alseep. no matter how late i go to bed whether it's ten p_m or four a_m. i will be up like clockwork. by seven thirty or eight o'clock in the morning the latest every single day and i can't seem to. figure out why i cannot stay asleep longer. trigger (are they triggered by something). no i just. in the morning i guess i'm a lighter sleeper but i just wake up like i just cannot stay asleep anymore which never used to be a problem this consistent but now it's. i cannot remember the last time i slept past eight thirty in the morning. hmm_downer (hmm). sleep_affects (what are you like when you don't sleep well). <tisk> i mean it just makes if i have to do stuff during the day it makes it a lot more tiring. but it doesn't really i'm so used to it now it doesn't really change my mood it's just part of everyday. okay_confirm (okay). feel_lately (how have you been feeling lately). um. i don't know i kind of just feel very. mm. like so so. just. no extreme highs no extreme lows it's kind of. one note land. behavior_changes (have you noticed any changes in your behavior or thoughts lately). i mean nothing like lately. um. like recently it's just i would say over a period of years i've kind of progressively become more seclusive and. just reserved and. not very outgoing. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no i have been diagnosed with anxiety. why_seek_help (what got you to seek help). um i had some breathing problems for a day or two and i had to go to the hospital. um 'cause i thought it was more serious 'cause i couldn't breathe but. they said that it was a physical manifestation of my anxiety. therapy_useful (do you feel like therapy is useful). i think in the right setting and. with the person who's doing it if they're open minded and the therapist. is helpful. and good at what they're doing then yeah. therapy_going (do you still go to therapy now). no i haven't been to therapy since i was a kid. stop_going (why did you stop). um i went because my parents thought it would be a good idea to like. deal with whatever issues they were having with me. but it was never i mean we just sat around and talked about my day. it wasn't. i didn't feel like i needed therapy at the time so i didn't really get much out of it. see_mean (i see what you mean). happy_lasttime (tell me about the last time you felt really happy). <sigh> well i was happy when i was back home at my boyfriend's house with his family over the new year's holiday. when i'm there i can always just. we save up our money so it's a complete vacation i don't have to. worry about paying bills i don't have to worry about what i have to do tomorrow who i have to deal with i just every morning we wake up we hang out. just enjoy the day. thats_great (that's great). regret (is there anything you regret). in general. yes (yes). um. i regret the college i chose to go to i didn't. being from the east coast the whole collegiate system is set up a lot differently and. the universities out there are not the same as the tight knit california school system out here. so when i was researching colleges i kind of thought that santa monica college was just a general college just like boston college back home or. you know any other school with the name college at the end of it i didn't realize until you know the end of my first year even. that it was more like a transfer school like you. you can't i didn't even realize you couldn't get a bachelor's degree from there when i went. yeah_downer (yeah). so it kind of create created more problems for me. advice_back (what advice would you give to yourself ten or twenty years ago). <sigh>. well considering i'm twenty two <sigh> i'd probably say ten years ago. i would give myself the advice to. probably stay closer to home. and to have. really pursued other options rather than just be completely invested in moving to california. BF_describe (how would your best friend describe you). um. my best friend would describe me. as a great charismatic funny outgoing. socially enjoyable person which is different than how. people who aren't my good friends would describe me. which i mean i don't i mean it is what it is i. am very outgoing and and have a great time when i'm with my friends in my element but around strangers and in like uncomfortable groups and things i just. i am very shy and. don't really. speak much. uh_huh (uh huh). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). um recently my friend was visiting and we went to a clippers basketball game a few weeks ago and i really enjoyed that. nice (nice). yeah. Ellie17Dec2012_07 (what would you say are some of your best qualities). um. i'm very caring. i. i'm a very good judge of character. which i mean i guess i mean i consider it to be a quality <qu> quality for myself. um. i'm very affectionate <aff>. i mean. i'm not very affectionate i'm more. i mean i guess i guess so. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). thanks.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/413/413_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/413/413_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/413/413_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm okay. thats_good (that's good). where_originally (where are you from originally). uh los angeles <laughter>. really (really). like_about_LA (what are some things you really like about l_a). um i don't know <laughter>. dont_like_LA (what are some things you don't really like about l_a). um. it's kinda dirty but that's to be expected from a big city. yeah3 (yeah). study (what did you study at school). um my the last class that i took was a sociology class um i'm not <n> i'm not really sure where i'm going with school but i'm thinking about sex education. hard_decision (how did you decide to do that). i think that it's a really important job um. uh i feel like. uh because there's kind of uh. stigma i guess about talking about sex it leads to like a lot of unsafe sex and a lot of unplanned pregnancies. so i feel like it's a very important job for. the world <laughter>. yeah_downer (yeah). difficult (how hard is that). i don't know <laughter>. okay_confirm (okay). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). no. why2 (why). um lack of funds. see_mean (i see what you mean). shyoutgoing (do you consider yourself more shy or outgoing). um it depends on the people but i'd say that uh generally i'm more shy. uh of course with people who i know well. like they're closer to me i i'm more outgoing. mhm (mhm). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um play with my dogs. uh. i don't know uh if it's a nice day i'll go for a walk. um. if it's not a nice day then or if it's cold out or something then. uh maybe watch a show on t_v i like or read a book or something. uh_huh (uh huh). control_temper (how are you at controlling your temper). i'd say i'm pretty good at controlling my temper. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). um i can't remember i think the last person i argued with. was my boyfriend. probably last week but i don't even remember what it was about <laughter>. okay_confirm (okay). feelguilty (what's something you feel guilty about). um. i don't think i really feel guilty about anything i'd say that i regret things but i think there's a difference between guilt and regret um. like i think guilt is more just like feeling bad. but regret is like. um feeling like you should've made a different decision and. i think that can help you in. to make better decisions in the future whereas guilt you just feel bad for no reason and it's useless <laughter>. yeah3 (yeah). regret (is there anything you regret). um. i regret not doing better uh when i was in high school. um. uh. i mean not getting better grades. um. i regret uh. like getting involved with certain people in the past. but i mean i don't i'm not sure <laughter>. that's about it that i can think of right now <laughter>. avoid (could you have done anything to avoid it). hm. avoid (could you have done anything to avoid it). um. uh yeah i mean i mean in the past. uh yeah i could've made. different decisions. i mean obviously some things you know you aren't entirely in your control but i'm not going to feel i'm not going to regret things that i had no power over so. yeah3 (yeah). memory_erase (tell me about an event or something that you wish you could erase from your memory). um. i'm not sure if i would want to erase it from my memory. but. i wish that it didn't happen to me uh was uh the time that i was raped. sorry_hear (i'm sorry to hear that). hard_decisionB (tell me about the hardest decision you've ever had to make). <laughter> i can't really think of any hard decisions um. hm. i can't think of any <laughter>. okay_confirm (okay). situation_handled (tell me about a situation that you wish you had handled differently). hm. i'm not sure <laughter> i can't think of any. family_relationship (tell me about your relationship with your family). uh i have a pretty good relationship with my family um. uh not. i wouldn't say that i'm really close with my mother but i mean we get along well. and i'm very close with my sister we're basically best friends. thats_good (that's good). influence_positive (who's someone that's been a positive influence in your life). um. hm. i think that my mother has been a positive influence in my life. uh. because she was always able to provide for me and she always. she didn't i mean she made. like mistakes sometimes but i think that she was always there for me when i needed it. and um she just did her best to raise me so. i think she was a big positive influence. mhm (mhm). easy_sleep (how easy is it for you to get a good night's sleep). uh it's been easy lately. uh sometimes i have trouble sleeping but uh. lately i have had no problems. sleep_affects (what are you like when you don't sleep well). um. it depends how long i've gone without sleep i can just. be anywhere from like. groggy to like um. really on edge. and like um. extremely tired <laughter> i don't know. okay_confirm (okay). feel_lately (how have you been feeling lately). um i have been feeling. pretty good i uh. i have like general anxiety kind of all the time but it's not as bad as it has been. in the past. so. been feeling mostly pretty good. behavior_changes (have you noticed any changes in your behavior or thoughts lately). um i think that i've actually been feeling. happier lately. i wouldn't say that i'm like really happy all the time i mostly just kind of. like. um. neutral but i have been feeling. more positive lately. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). i'm actually not sure if i've been diagnosed with p_t_s_d. tell_about_that (can you tell me about that). um. uh. i know that i i've been seeing uh psychologist <psyc> psychologists for like. since i was sixteen. um for depression. and uh i think my first psychologist who i saw for a few years. thought that i had p_t_s_d but i'm not sure if she. ever made a diagnosis. suspect_problem (did you think you had a problem before you found out). um. i'm not sure <laughter>. symptoms_what (what were your symptoms). uh. i'm <laughter> i don't know. therapist_useful (is going to a therapist helping you). yes. therapist_affect (how has seeing a therapist affected you). um. it's helpful to uh. talk someone and have them kind of. um. guide you in. talking about something so that you can figure thing the figure out your. feelings about things sort of i guess for yourself or like why it it helps to talk with somebody because you can figure out why you're feeling a certain way about something. i mean. i think sometimes you can do that on your own but. uh. talking to somebody helps i think. yeah_downer (yeah). happy_lasttime (tell me about the last time you felt really happy). um. hm. i'm not sure <laughter>. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). um. i'm not sure <laughter>. okay_confirm (okay). BF_describe (how would your best friend describe you). um. i'm not sure <laughter>. ideal_weekendC (tell me how you spend your ideal weekend). uh. i think i would spend it mostly. at home. um but it would be sunny out and i would go outside a little bit. and i'd play with my dogs and. uh. i'd probably have my boyfriend over. um. i'd eat food that i like. like only food that i like like my favorite foods um. watch. movie or t_v show that i like. um. just. kind of have like a relaxing time but. that's nice. mhm (mhm). advice_back (what advice would you give to yourself ten or twenty years ago). mm. i would tell myself to uh. to uh to do better in school because throughout high school i was kind of an underachiever. and i ended up going to community college like on and off because i would like. sort of lose interest and then. uh not do well. or as well as i could have. so i would tell myself to. do as well as i could in school because i feel like i am capable of a lot more. than i do. and i think i could easily have gotten a scholarship <schol> a scholarship if i had done well in high school. so i would just tell myself to do good in school. probably warn myself about one or two people that. turned out to be not worth my time <laughter>. mm (mm). Ellie17Dec2012_08 (what are you most proud of in your life). um. hm. um. i think i am. proud of myself for not. being um. bitter and for wanting. to. uh. well i am kind of bitter i guess but i guess i'm proud of myself. for not being selfish and wanting to. um make the world a better place like 'cause a lot of bad things have happened to me and i try to instead instead of dwell on them. i try to. um. or i want. to be able to make things better for other people. and as much as i wanna help i guess um empower people to make their lives better. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/417/417_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/417/417_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/417/417_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm okay. thats_good (that's good). where_originally (where are you from originally). i was born in mississippi. really (really). when_LA (when did you move to l_a). um when i was two and a half years old but actually it wasn't l_a it was santa monica. very_young (you were very young weren't you). yes. often_backB (how often do you go back to your hometown). never. why2 (why). i was only two and a half years old i don't remember anything. okay_confirm (okay). like_about_LA (what are some things you really like about l_a). oh i like the beach. i love all the restaurants. um. um the music scene just the general excitement oh and the parks and all that. mhm (mhm). yeah. dont_like_LA (what are some things you don't really like about l_a). um the traffic. the um. the maintenance on the streets all the pot holes. um. um. the pollution. yeah3 (yeah). see_mean (i see what you mean). study (what did you study at school). well i studied a number of things at school um. i studied um. um at one point i was i i had majored in public relations journalism specialization in journalism. and i also studied um i was a pre law major. and so. i studied the law and then i also studied um. um. human um. human services courses. sounds_interesting (that sounds interesting). mhm. change_directions (what made you decide to do that). um mainly because i'm a people person. and i enjoy helping people. thats_great (that's great). dream_job (what's your dream job). wow my dream job. hm. mm. my dream job. hm. i don't really have one right now. okay_confirm (okay). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). no i don't and i can't even see your shoes. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um. um listen to music. watch horror movies i love <luh> i love horror flicks. um. and i have a fish tank too so i like to watch my fish. also like to play tennis when i can i haven't been able to play lately though because of physical problems. aw (aw). tell_about_that (can you tell me about that). um. mm. it's just that um. i had injured uh my my my ankle because i have anemia <aneenia> and um. and i got dizzy one night and i fell on my ankle and on my leg and so i'm just waiting for that to really heal. but i'm planning to get back um into tennis it's one of the things i enjoy doing it really relaxes me. thats_good (that's good). control_temper (how are you at controlling your temper). i really don't have a temper over the years i've learned how to do how to control that. last_argument (when was the last time you argued with someone and what was it about). probably would've been yesterday but there was no argument. and what was it about. nothing that i can recall <laughter>. okay_confirm (okay). feelguilty (what's something you feel guilty about). something i feel guilty about. hm. there's nothing right now that i feel guilty about. situation_handled (tell me about a situation that you wish you had handled differently). mm. oh a situation that i wish i had handled differently. i really can't think of one right now. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). the hardest decision oh. um. the absolute hardest decision that i ever had to make. um. was when my uh i had twins twin twin twin boys they're grown now. i had twins. twin teen teenagers. and um i had lost my job and we were living in a motel. and. the rent for the motel was outrageous i couldn't no longer continue to pay the. um pay the type the type of money that they wanted so i had to briefly um. um. put my son under the in in foster care for for for a minute. that was the hardest decision that i had to make. yeah_downer (yeah). kids_elaborate (tell me about your kids). scrubbed_entry. um a schizophrenic. and he had had. um he was born with auditory processing deficit which he overcame through training with a speech therapist and and school officials and he also this is he also lost his hearing when he was four years old. um but. and then when he turned fourteen the schizophrenia came up. um so right now he he's in a supportive living environment he's twenty seven years old. um but he he he's come to terms with his mental illness and he accepts it now. i had problems in the past 'cause he didn't wanna take the medication you'd give him the medication and he'd hide it stick it in his pocket or whatever. so but he's come to terms with that and we've all have come to terms with that and he's doing he's doing pretty good. scrubbed_entry. um that son he's twenty <twen> he's twenty seven as i said 'cause he's a twin. um. um was living in texas with his wife. and um he got a promotion to um. scrubbed_entry. now he's in california too both are in california okay so. um. i feel very good about that yeah. easy_parent (do you find it easy to be a parent). uh. hm. well of grown children yes. <laughter> of grown children yes. no no no no no no no. parent_hardest (what's the hardest thing about being a parent). no i take that back. not it's not hard to be a parent of grown of my grown children okay when they were younger there were difficult times okay difficult periods and um. just it was a lot of good times too but yeah it was there were some difficult times. mm. tell_me_moreV2 (can you tell me more about that). well the mm the difficult times i really pretty much already alluded to and that was when um one of my twins got the diagnosis of schizophrenic and um. and um. they were in. temporarily and. in in well one was in foster care and one was actually um in a institution 'cause of the um the um schizophrenia. um. so. think i lost track of the question <laughter>. parent_hardest (what's the hardest thing about being a parent). the hardest thing about being a parent. at this point at this <the> at this point in my life there is is nothing hard about it. parent_best (what's the best thing about being a parent). um. the best thing about being a parent. i don't know i guess it's just to see <cough>. something that you created um develop into a you know pretty decent human being you know a decent person. yeah3 (yeah). that's the best thing. parent_differences (what are some ways that you're different as a parent than your parents). oh a lot of ways. um well actually. i didn't have two parents i had a mother. and the father was never in my father was never in the home and he lived in another state so i had no contact with him um. but the thing that i do. differently than what my mother did. um. she was a strong disciplinarian. um both verbally and physically. um. and. she at she had this tendency which she outgrew. she had this tendency to be very critical okay critical and um. um opinionated <laughter> and very religious. um. and sort of. sort of looked at people who were not and that was me um as if they. were living life wrong because they were not going to church or reading the bible and that kind of thing. hmm_downer (hmm). what was the other part. of the question. easy_sleep (how easy is it for you to get a good night's sleep). i i i don't get a good night's sleep or i don't sleep at all unless i take medication and that's that that's all there is to it if i don't take medication i don't sleep i'll be up all night i'll. i will be up for days if i don't take medication. sleep_affects (what are you like when you don't sleep well). man irritable um. and tired <laughter>. okay_confirm (okay). feel_lately (how have you been feeling lately). well well. lately. you know just a little anxious really um. you know um i just recently um. made a move to a new apartment it's a lot of expenses and. new expenses and things like that you know and new furniture and new this and that that you have to get which um i've i managed to do all of that but. um the whole thing was kind of stressful. trade_offs (there are always trade-offs in life aren't there). yes mhm. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no not p_t_s_d. depression_diagnosed (have you been diagnosed with depression). yes. when_diagnosed (how long ago were you diagnosed). um that was back in i think two thousand and four. why_seek_help (what got you to seek help). um. because um my life had gotten so stressful. to the point where. it was either i had to do something or. or end something to tell you the truth yeah. therapy_going (do you still go to therapy now). um yes mhm. therapy_useful (do you feel like therapy is useful). yeah i think it's useful um you know as a good sounding board. you know someone to throw. you know your concerns out and you know discuss things that may be bothering you or good things too yeah i think therapy with medication. therapy_changes (what sort of changes have you noticed since you've been going to therapy). um. since i've been going to therapy. um the changes. a lot of changes um. i've been more focused. more. hopeful. um. hm. it it's just been a good experience for me which is why i continue to go. thats_good (that's good). happy_lasttime (tell me about the last time you felt really happy). really happy. yes (yes). well. i can feel really happy. um by some occurrence i can't think of anything right now just like that. and then. i go back to how i was feeling. so i can't really pinpoint anything really i mean. eh eh i mean if something comes to me unexpectedly or if things go right for a change and continue to go right as opposed to things going wrong all the time. that that makes me happy when things go right how about that. okay_confirm (okay). makes_sense (that makes sense). hm. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). mm something i did recently. that i really. something i did recently that i really enjoyed. mean really really enjoyed. recently. hm. i can't think of anything. okay_confirm (okay). BF_describe (how would your best friend describe you). i don't have a best friend. Ellie17Dec2012_07 (what would you say are some of your best qualities). um my best qualities. are that. i'm a honest person. i genuinely give people the benefit of the doubt. um everyone in my book. is as they appear to be. until they prove prove it differently. um. i'm very generous. overly generous <laughter>. um. and i'm very i like to help other people. i mean help you know i'm on a personal level help people. you know with anything whatever their problem is it gives me pleasure to do something for somebody else that's helping them out. mhm (mhm). mhm. regret (is there anything you regret). anything i regret. yes (yes). how so. mind (whatever comes to your mind). there's only one thing i regret and that is that. um. after my twins became um became old enough to um. start going to um school the elementary school level um. i was taking some courses um as a pre law major. and um. at that time i was married to their father. who who turned out not to be a good. fit for me. and. because of the stresses involved with him. you know knowing that that was gonna end and i was gonna leave him. um. i dropped out of college. so that was my biggest regret. mm (mm). hm. advice_back (what advice would you give to yourself ten or twenty years ago). stay in school no matter what. stay the course no matter what. Ellie17Dec2012_08 (what are you most proud of in your life). that i'm a good person. i'm a good human being. that's all. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). okay. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/418/418_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/418/418_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/418/418_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). mm. yes i am. okay_confirm (okay). how_doingV (so how are you doing today). um i'm okay. thats_good (that's good). where_originally (where are you from originally). chicago. really (really). when_LA (when did you move to l_a). um back and forth over the years and traveled a little bit. often_backB (how often do you go back to your hometown). haven't been out there in over fifteen sixteen years. wow (wow). why2 (why). um. kinda got stuck out here <laughter> then i had my baby and i just stayed. compares_LA (how does it compare to l_a). uh. different food um. the people get along way um how do i get it it's kind of a culture shock. tell_about_that (can you tell me about that). uh. out there just on the food basis they like to give you a lotta food. that tastes real good for a little bit of money to keep a lifelong customer but out here they wanna go up there and give you a little bit of food for a whole lotta money so they just making money <laughter>. wild_laughter5 ((laughter)). yeah_downer (yeah). why_LA (why did you move to l_a). um. mm parent had business out here. adapted_LA (how easy was it for you to get used to living in l_a). um. not hard. i could get used to anywhere. thats_good (that's good). like_about_LA (what are some things you really like about l_a). the views and the ocean. dont_like_LA (what are some things you don't really like about l_a). uh. just uh. a splitting of people that's it <laughter>. mhm (mhm). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). um just a few places. travel_changed (what do you enjoy about traveling). getting to see different people and learn how different people get along and interact with each other. uh_huh (uh huh). travel_trips (i'd love to hear about one of your trips). <laughter> um. <laughter>. uh. <sigh>. i remember a trip years ago where i went to mexico with my brother. nice (nice). memorableB (what's one of your most memorable experiences). yeah. um. jumping into a lake <laughter> pretty much off the side of a mountain <laughter>. awesome (awesome). yeah. study (what did you study at school). everything. <laughter>. there's not a subject i don't like. dream_job (what's your dream job). um. actually my dream job. working with computers and helping people. really (really). why2 (why). that's. where <wh> where my heart is i like computers and i also like helping people. thats_great (that's great). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. i meditate um work out. i run i walk. um. i write read. uh_huh (uh huh). shyoutgoing (do you consider yourself more shy or outgoing). in the median. okay_confirm (okay). control_temper (how are you at controlling your temper). mm. i'd say very good. last_argument (when was the last time you argued with someone and what was it about). oh yeah that doesn't make it seem that good <laughter> um last time i argued. was. over someone actually spitting out a racial slur. towards my um wife. oh_no (oh no). describe_felt (how did you feel in that moment). angry. upset hurt. disrespected. yeah_downer (yeah). and especially when i went up there to treat the person actually i was treating 'em with dignity and respect and trying to help the person at first. sorry_hear (i'm sorry to hear that). it's no problem people are people. situation_handled (tell me about a situation that you wish you had handled differently). mm. i had a chance in school to really go a lot further than i did. and i let something very small. and meaningless stop me in the pursuit of it. change_directions (what made you decide to do that). um. <laughter>. ignorance. <laughter> for lack of a better word. avoid (could you have done anything to avoid it). now that i think back on it i could've done a whole lot to avoid it but i was just young and foolish. yeah_downer (yeah). hard_decisionB (tell me about the hardest decision you've ever had to make). to start living again. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). <deep breath> <sigh>. um. as much pain as i've seen in the world. tell_about_that (can you tell me about that). um. a compilation of all the events uh just different bad things that i've seen. i. if i could change it i would but. sometimes. i guess things are there for a reason. even though we may not understand it. yeah_downer (yeah). see_mean (i see what you mean). feelguilty (what's something you feel guilty about). <laughter>. um. i have no answer to that. okay_confirm (okay). family_relationship (tell me about your relationship with your family). um. blood family we really don't talk um. my wife. don't know if she really wants to be there with me or not. she thinks that i'm doing everything in the world but that i'm not. and really <laughter>. i don't understand. i know my daughter loves me but i don't know if she wants to be with me or not. why2 (why). because. when somebody talks to you. when they say something a certain amount of times and the tonage in they voice and the belief in their eyes. if you say something so many times it's what really lies in your heart. <sharp inhale> so you could say whatever through your mouth but it's what really is there. isee_downer (i see). kids_elaborate (tell me about your kids). hmm i love my daughter. she a angel i cut her umbilical cord. i went out there and <laughter> put on her first shirt. i seen her come out. she looked at me right out the stomach <laughter> she wouldn't she was fighting with the doctors wouldn't let 'em touch her a bit. i talked to her i told her to calm down or i told her it was daddy she looked up at me grabbed my fingers and like just calmed down and just let 'em do everything they needed to do. <laughter>. aw (aw). easy_parent (do you find it easy to be a parent). no it's constantly changing task um. what you have to do on this day won't be the same thing as the next or the next after that it's constantly um. what is a better word for it um. <laughter> um. adjusting. yeah3 (yeah). <laughter>. parent_hardest (what's the hardest thing about being a parent). um. the hardest thing i'll probably say. is. scolding your child because you know you're doing it out of love for 'em not xxx learn the wrong lessons. parent_best (what's the best thing about being a parent). <laughter> seeing your baby smile in appreciation. parent_differences (what are some ways that you're different as a parent than your parents). i try to guard my baby a lot more from things that she sees. give_example (can you give me an example of that). um. when i was younger there were a lotta things that i seen that no child or adult should've seen. and um. when <whe>. i grew up. i swore to myself that i'll always take care of my child and. i wouldn't disappear or. let her be around things like that. okay_confirm (okay). influence_positive (who's someone that's been a positive influence in your life). um. my old foster parents. tell_about_that (can you tell me about that). mm. they basically showed me no matter where you come from. you can always strive to get better. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). um. a good night's sleep. eh um it comes. sleep_affects (what are you like when you don't sleep well). <laughter>. the same just tired and yawning <laughter>. feel_lately (how have you been feeling lately). how have i been feeling. mm. like. i have a wealth of queries and. a wealth of gold. within my. grasp and it's just right out of my reach because i just need that one. connector to really just. see what i'm capable of and i know i'm capable of a lot it's just. i need to make that connection. hmm_downer (hmm). behavior_changes (have you noticed any changes in your behavior or thoughts lately). no. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). <sigh>. um. mm not p_t_s_d no. depression_diagnosed (have you been diagnosed with depression). uh. i said yes but. i don't figure i'm any more depressed or anything than any other person everyone has their different breaking points. okay_confirm (okay). happy_lasttime (tell me about the last time you felt really happy). my daughter's birthday on the twenty sixth. tell_about_that (can you tell me about that). um took her out to chuck e cheese she had fun she played games she was on bikes <deep breath> she was crawling through puzzle games um. man this girl did about everything <laughter>. great_situation (that sounds like a great situation). BF_describe (how would your best friend describe you). um. fun loyal caring. self_change (what are some things you wish you could change about yourself). <sigh>. um. something to change. i would like to be more accurate. okay_confirm (okay). regret (is there anything you regret). <sigh>. not getting to know who my mom was. advice_back (what advice would you give to yourself ten or twenty years ago). stop thinking about whatever else has happened and just do what you need to do. hmm_downer (hmm). Ellie17Dec2012_07 (what would you say are some of your best qualities). i'm positive i'm goal-oriented. determined. um. i'm very imaginative very creative. ideal_weekendC (tell me how you spend your ideal weekend). <laughter> ideal. i would probably. be doing a little bit of everything. rock climbing biking. hiking going with my daughter places um. <laughter> man. i'll probably be skiing snowboarding and everything <laughter> in a ideal weekend. nice (nice). Ellie17Dec2012_08 (what are you most proud of in your life). my daughter. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). no problem. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/420/420_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/420/420_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/420/420_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). hi. sure. okay_confirm (okay). how_doingV (so how are you doing today). alright. thats_good (that's good). where_originally (where are you from originally). uh originally originally i'm from uh korea. really (really). mhm. when_LA (when did you move to l_a). uh when i was a year old. very_young (you were very young weren't you). yes. often_backB (how often do you go back to your hometown). uh almost never i've i've been to korea once. cool3 (cool). like_about_LA (what are some things you really like about l_a). uh i love the weather <sigh> and being by the ocean and the culture has a lotta things to do the food there's a lot to like. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). um. the traffic um. it seems like. we're having a lot of uh economic difficulties and the. the parking tickets are super high i sometimes i'm really. annoyed by our government <laughter>. yeah_downer (yeah). see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). by your shoes. did you say by your shoes. yes (yes). <laughter> your shoes aren't showing um i have traveled a bit i'm i'm sort of traveled i haven't traveled in a little bit in a little while. travel_changed (what do you enjoy about traveling). oh just <sigh>. it um. it helps you keep things in perspective about our life here. um it's exciting and it makes me feel like. um i'm actually <act> i'm really living 'cause sometimes we're stuck in this bubble here in l_a and seeing other places you realize that. you know life is about a lotta different things that you don't think about every day. mhm (mhm). travel_trips (i'd love to hear about one of your trips). well um. one of my trips i went uh. i went to. singapore and then to thailand. and it was when i was with my ex-boyfriend and we went to um. he had <ha> he was uh. uh. a sales engineer. or systems engineer but he he did well that year and so this was kind of like a a company thing so we went to singapore for a few days. and that was really interesting um you know of course. eh. it's a lot different over there um not just like going to canada or something. but they had a big reception the evening we got there and they had like a play put on by the principals of the company which was real fun and. um. after singapore uh we did some tours in singapore it was really. it was a interesting experience it's really clean there and it's really. there's not a lotta crime but the government is very it it's a little bit imposing. but it was very interesting then we went to thailand and that was almost <almo> it was really completely different 'cause it's like jungle. yeah2 (yeah). we went to um. phuket it's a little island. and it was just it was very. primitive compared to. singapore just in a lotta different ways but it was very interesting and it was nice and everything was really cheap. had a massage on the beach for eight dollars <laughter>. wow (wow). it was interesting yeah. yeah it was an hour for eight dollars <laughter>. awesome (awesome). mm. study (what did you study at school). well i'm in school right now. and um i didn't i didn't finish school when i was younger because i had um. i had health problems. so um here i am i'm. i'm just doing my general ed right now i'm going to s_m_c. thats_great (that's great). yeah. i'm happy. dream_job (what's your dream job). ooh <sigh> well my dream job would be <sigh> to be a veterinarian. but uh it's probably not very realistic for me at this stage in life and you know also because of monetarily it costs a lot but that would be my dream job working with animals and and. in in a veterinary capacity. yeah. shyoutgoing (do you consider yourself more shy or outgoing). i think i'm right on the cusp um it depends on the environment and the people i'm with and. how comfortable i am but um i'm really outgoing when i feel comfortable with people and i'll be really reserved <laughter> if i'm not. makes_sense (that makes sense). yeah. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. <laughter>. uh <sigh> well i mean aside from sleeping. um. i like. like relaxing things uh like going for a bike ride on the strand. or um if i'm at home uh just like reading or. a lotta times i can just lay there and. my mind might be doing things but i'm kinda relaxing. uh_huh (uh huh). control_temper (how are you at controlling your temper). ah really good. i don't have. i would say there's certain things that um. they can really. like make me. like when i see injustices or things like that then. i mean i can really feel it. but i never just like fly off the handle or throw things or. uh even you know yell <laughter>. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). <sigh>. argued. um <sigh>. i can't really say i have arguments i mean just like a disagreement or an actual argument. like if we just. mind (whatever comes to your mind). well. uh i would say last summer. when. um. i think it was after a. baseball game there was a group of us and we went uh to. we went to have shabu shabu after the game. and. i don't know i think. scrubbed_entry. and i don't know it's it's it's kind of a tenuous friendship like. mm she's a good friend in some ways and she's mm we're we're actually kinda distant in other ways so i i don't consider her. um like someone that i would confide in and you know if any. deep problems but um. sometimes we just have. she's very touchy. and she doesn't have the same sense of humor i do. so i think. she had said some things to me during the night which mm kinda bothered me but mm. you know i just kinda. that's just how she is. and then i guess i said some things that she. felt were. eh well she gets really. offended easily i think <laughter> but um after that we didn't talk for a while but then we. then one day she called me up and then we were friends again. okay_confirm (okay). but like she never she never confronted me. hard_decisionB (tell me about the hardest decision you've ever had to make). hardest decision <sigh>. uh it was leaving my ex-boyfriend. hard_decision (how did you decide to do that). uh well. it wasn't. <sigh>. it was a long time coming i mean i was thinking about it. for like five years. um. you know he wasn't like beating me or anything he was a really good guy but we just. had a lot of um. we <w> we weren't always on the same wavelength and we did have a lot of like disagreements. so i had thought about it and thought about it and. we were already engaged but we had been together for a long time so. i don't know uh. i was always it was always on my mind like should i get married or should i not and then finally. eh we were just always having. um. we were always what what's the word i'm looking for um. we were just having these little snippy. disagreements all the time and then one day we had one and i just decided that i was gonna leave and. um i did. been_hard (that sounds really hard). it was really hard it was it was the hardest. decision in my life and i can stay that definitively um. and. but i i think it was for the best. Ellie17Dec2012_03 (that's good). situation_handled (tell me about a situation that you wish you had handled differently). <deep breath> <sigh> hmm um probably leaving my job. for well to help my friend start a business in nevada. and when i when i. i really liked my job i mean it was it was pretty good um it was right over at the beach. and when i told them that i was leaving then they offered me this huge raise and they offered me a a different position which was awesome. and that was really stressful for me because um. i'd already promised my friend <laughter> to leave i wouldn't have gotten the position you know offer if if it wasn't. for her wanting me to come over there um. it was really really stressful and i stressed over it for about three weeks until i actually left. and um. when i went over there. like we had we had made agreements about how much they were gonna pay me and blah blah blah. when i got there everything like she didn't remember telling me that i needed a certain amount and. the other principals of the company were um. you know the <th>. it was a hard situation 'cause she had she had talked with me but they hadn't talked with me and they're like well that's too much. and also. they were a different religion. and it was very strange i mean they were all one religion <laughter> i was i was surrounded by mormons and i i don't have anything against mormons but it was very different because eh. wild_laughter5 ((laughter)). eh i was kind of an outsider there and then. also the weather was just it was absolutely awful there <laughter>. so i would say that's one decision it it's. it just a a pivotal point in my life and i think that um. i really wish i i had just stayed. yeah_downer (yeah). memory_erase (tell me about an event or something that you wish you could erase from your memory). <laughter> um well if you're gonna erase something from my memory then <laughter> um i would probably say. <sigh>. my memory. like really if if i could erase something from my memory what would i want to erase. is that what you're saying. uh_huh (uh huh). mm <sigh>. can't really think of anything i mean. even like that. that bad decision that i made. you know it it has value in it so <sigh> i can't really say that i would want something erased i mean maybe if i was like raped or something. mm (mm). and it was really <sigh> horrifying then i would but i don't. yeah_downer (yeah). easy_sleep (how easy is it for you to get a good night's sleep). <sigh> well if you're talking about sleep <s>. being in a deep sleep i'm in a deep sleep a lot but. i never feel rested and that's um. it's a medical problem of mine. tell_about_that (can you tell me about that). well i always feel. like i haven't slept for two days and. um. there are points in in the day. i would say in some <s> during some days there are points in the day where i really feel alert and alive and. and rested but they're short-lived. but i sleep a lot i sleep. feel_lately (how have you been feeling lately). uh pretty crappy <laughter> physically pretty crappy. yeah. sorry_hear (i'm sorry to hear that). well thanks <laughter>. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. <sniffle>. depression_diagnosed (have you been diagnosed with depression). i haven't been officially diagnosed with depression but um. that's. that's usually what doctors. um. like my sleeping problem hasn't been diagnosed i'm i'm in the process of really working to get it diagnosed but um that's the first thing that they try and. figure out they they've given me like depression drugs before but they haven't helped with my sleep. isee_downer (i see). but i do. feel_down (do you feel down). feel_down (do you feel down). <sigh> i do <sigh>. i would say i feel down sometimes <someti> well. my life is very strange right now so there are a lot of reasons to feel down. um. i would say that i do feel down sometimes. a lotta times but it's not. i would say. it's reasonable considering. the situations that i'm in. downer (okay). trigger (are they triggered by something). uh they're just triggered by the fact that my health is is not great and it makes it makes life really difficult. but um. i wouldn't say it's triggered by anything in particular. happy_lasttime (tell me about the last time you felt really happy). oh there i mean <sigh> you mean for a long period of time or i mean i i experience happiness like when i go out with friends or i go and you know i've. find some great new dish i like i mean. what type of happiness are you looking for. Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). um <sigh>. well. i mean right now um. my friend just had surgery and so i'm staying with her this week. um i'm really enjoying it i mean even though. we could never live together i could never live with live with her long term and i'm sure she couldn't live with me long term but i'm having fun and um. wild_laughter5 ((laughter)). you know she just she i i installed the groupon app on her ah on her phone. um yesterday. 'cause she's been paying too much for laser hair removal. <laughter> and so i installed it on her phone and then today she's she's looking up cupcakes so she had me pick up cupcakes on the way here to bring back to her uh as a groupon deal so i mean. nice (nice). you know there's little fun things like that. BF_describe (how would your best friend describe you). <sniffle>. uh <sigh>. probably um. o_c_d <laughter> and um. she probably thinks i'm pretty prissy compared to her. um. i think that she would. say that i have a good heart um we're very different. um. and probably that i'm. <sigh>. i should ask her <laughter> uh. i don't know we we go out so i think she'd say that i'm fun. um but. she has mentioned that i'm i'm a very private person and that i know i i knew before she said that. why2 (why). why um. <sigh>. i have <ha> well i told you i have i have a lotta problems right now. and <sigh>. so i don't really. tell people about them. um. it it's kind of a. it's kind of a killjoy but also. people can feel i feel that people can feel. less comfortable if they perceive that you have a have difficulties and they feel kind of. um. it just uncomfortable like oh they maybe they should help or they feel guilty but they have good busy lives so just kinda creates a gap but i would say even before. even before this difficult time in my life i've been. i've been a private person i don't know why. i think <thi> i think a lot. eh you know i'm a deep thinker. and. maybe it's just. you know. not like i feels like i feel abnormal but. um. maybe i just have a lotta thoughts that. don't seem doesn't seem appropriate to share with people or i'm not sure. isee_downer (i see). advice_back (what advice would you give to yourself ten or twenty years ago). <sniffle>. ten or twenty years ago <sigh>. um. well one thing that i regret right now is um. you know i haven't really found. somebody. you know to spend the rest of my life with so i would tell myself to concentrate more on that 'cause once you hit forty it's really <rea> it's it's a lot harder. that's it. Ellie17Dec2012_08 (what are you most proud of in your life). um i would say <sigh>. that i've perservered. i'm very proud that. even though i have a lot of. difficulties in my life. the fact that i'm you know making this commitment to go to school. and i'm doing it on my own. and um. you know it's. it's kind of a. if people if people knew all the problems that i have. they'd be like well you know why are you worrying about school but um. i really feel that. you know i'm i'm doing this and and i'm really proud that even through everything um yeah i'm getting a's. thats_great (that's great). thanks. asked_everything (okay i think i have asked everything i need to). mm k. appreciate_open (thanks for sharing your thoughts with me). thanks. bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/422/422_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/422/422_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/422/422_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing fine. thats_good (that's good). where_originally (where are you from originally). uh mexico. really (really). when_LA (when did you move to l_a). uh when i was young seven years old. often_backB (how often do you go back to your hometown). i've been there like uh three or four times for vacation. compares_LA (how does it compare to l_a). well it's uh less stressful i don't know if it's because i'm on vacation but. i feel more at peace over there than here. mhm (mhm). why_LA (why did you move to l_a). well my uh family moved down here for a better life uh that was my parents. like_about_LA (what are some things you really like about l_a). mm just the weather and the different things that you could do you could be at the beach or you could go to the mountains different variety of things to do. yeah3 (yeah). dont_like_LA (what are some things you don't really like about l_a). the traffic and sometimes <somet> yeah basically the traffic and yeah that's one of the main things. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). not that much i been to new york and uh mexico only. cool3 (cool). travel_changed (what do you enjoy about traveling). uh just uh seeing new places and finding new locations you know something new. memorableB (what's one of your most memorable experiences). like for a trip or. yeah3 (yeah). well i've been to uh in mexico i've been to the pyramids of uh. i forgot what's it called in mexico city. and i like you know about uh finding about my ancient culture since i'm uh uh mexican from mayan aztec so i like to see different things like that. wow (wow). thats_great (that's great). study (what did you study at school). well uh at school. well i did uh drop out but i came back and i'm trying to get back into it right now trying to learn uh graphic designs. hard_decision (how did you decide to do that). well i started liking you know to take pictures doing different things and i like you know. uh going into business i like what the it entitles about. dream_job (what's your dream job). i wanna have my own business either making web pages just be able to be free. and don't being relying on someone else just be able to have freedom for myself. uh_huh (uh huh). shyoutgoing (do you consider yourself more shy or outgoing). outgoing. why2 (why). well i just like to you know. be around people like to get to know people and depending on the person how i feel around 'em. okay_confirm (okay). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). i like to hear music or you know. do do different things like play sports or do different things just to unwind. control_temper (how are you at controlling your temper). well i'm getting better at it. you know. i xxx. last_argument (when was the last time you argued with someone and what was it about). well it was like uh. two days ago it was something about uh i needed to pay a bill or something <some> something that uh i you know i had taken care of. but the person he's like more picky about it you know he's more. that_sucks (that sucks). you know how how girls are you know they they want everything right there and then. wild_laughter5 ((laughter)). i have it handled you know i have it everything there and they just bugging sometimes they don't give you the space. that you need to resolve something. yeah3 (yeah). describe_felt (how did you feel in that moment). well i felt like i was overwhelmed i already had it resolved i just was waiting for. a check you know that's not on my control but i already had made the paper proper arrangements and she's bugging me about it and it's like. you're making you know an argument you know a storm in a glass of water. mm (mm). yeah3 (yeah). it's like mhm. situation_handled (tell me about a situation that you wish you had handled differently). well. uh differently there's couple of them but not so recently because i've been more. trying to get my life together but the decisions i made before in the past. like dropping out of school and doing other different things. mm. feelguilty (what's something you feel guilty about). guilty not that much because. not really. not that i could think right off the top of my head. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). the hardest decision. oh it's just not on top of my head right now. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). an event. mm well the only things that i remember is when i black out or different things like that that i don't remember. but. not nothing like a particular only when my uh brothers died and different things like that. mhm. tell_about_that (can you tell me about that). well my brother was in gangs and different things and he was getting more into trouble. and it's just not a pleasant memory for me to talk about that much get into it. sorry_hear (i'm sorry to hear that). family_relationship (tell me about your relationship with your family). no i'm hispanic i you know i like to be with my family. and you know i i like to go over there to mexico too i have a half-sister and my grandpa died he was over there in mexico. so i do uh like to have a good relationship with my family. thats_good (that's good). influence_positive (who's someone that's been a positive influence in your life). well. my mom and dad they always work hard they always done what they had to do to pay the bills that's why sometimes i be like you know running around trying to get everythings done but done correctly not trying to take the easy way out. yeah3 (yeah). difficult (how hard is that). it's a little hard because there eh especially here in los angeles there's a lotta. different things that you could get into that's not that positive. and it's hard to stay focused on you know the correct stuff. uh_huh (uh huh). easy_sleep (how easy is it for you to get a good night's sleep). well normally i just knock out it's not that hard it's like it takes me like half an hour or fifteen minutes but. uh sometimes i can't even wake up even with the alarm. wild_laughter3 ((laughter)). uh they have to wake me up you know my girl has to wake me up even with the alarm going on it's like so. hard so you know i just knock out. sleep_affects (what are you like when you don't sleep well). i do get a little either i'm angry or i don't feel good and i'm not filled with energy. but i still have to know i know i have to do something so i still go through with it. mm (mm). feel_lately (how have you been feeling lately). i been well i been uh feeling good you know. been a little restless but not that much i had to do stuff so. i just you know put myself to do it no matter how i feel. behavior_changes (have you noticed any changes in your behavior or thoughts lately). no. nothing out of the ordinary. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). the last time i felt happy that was probably on the weekend that i was you know going out with a. going out have some fun and you know i was drinking and just relaxing. and winding <win> winding down. awesome (awesome). mhm. ideal_weekendC (tell me how you spend your ideal weekend). my ideal weekend is usually with my girl either out or at home just relax. but nothing else you know just be able to relax and unwind with her you know either going out somewhere to a nice place or staying at home. but without getting any calls or xxx interruptions you know just be able to turn off the phone and turn off everything just. be with her doing the other different things. yeah3 (yeah). mhm. BF_describe (how would your best friend describe you). uh like an outgoing guy you know very social but at the same time i'm reserved depending how i feel with people. have to you know build trust or feel comfortable with them. uh_huh (uh huh). self_change (what are some things you wish you could change about yourself). oh i'm changing a lot you know like. uh my temper and different things drinking things i'm. changing a little different things so i could get more different things done. feelbadly (tell me about a time when someone made you feel really badly about yourself). oh there's several but mostly uh. is when i'm coming from mexico that they wanna demeander you even down there it feels uh like silly because i went to a store i was regularly dressed. and i was telling 'em i wanted to buy something and then they said that. that i i wasn't belong there and i and as soon as they saw my credit card they kinda changed perspective because they saw the wells fargo logo they know i was american. wild_laughter3 ((laughter)). but they thought it was like you know. it it was <wa> it felt me it felt ridiculous to me because you go to a place and you have the money you ask for something you're gonna ask for something because you have it not just to waste <wa> kill their time. yeah3 (yeah). just because they saw a logo of a card. that's how they you know. it just it was ridiculous for me. understand (i understand). regret (is there anything you regret). no. advice_back (what advice would you give to yourself ten or twenty years ago). basically uh to stay more focused on different things uh stay in school. and you know don't go you know try to control my temper and do different things because if i knew what i know now back then it'd be different. mm (mm). Ellie17Dec2012_08 (what are you most proud of in your life). well uh i did drop out but i did uh go back to school and i you know i did get my high school. and right now i'm in the process of doing other different things so right now is uh getting my high school getting that together. and right now i'm working to another goal trying to get you know my either going back to school so it's basically <ba> basically getting back to school and finishing the high school the g_e_d. good_hear (that's so good to hear). mhm. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). okay. you're welcome. bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/436/436_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/436/436_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/436/436_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing fine. thats_good (that's good). where_originally (where are you from originally). i'm from los angeles and born in los angeles. really (really). yes. like_about_LA (what are some things you really like about l_a). uh you have a lot of places to go a lot of people to see a lot of things to do. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). smog. uh the environmental has changed over the years uh xxx. i've been around since nineteen fifty two and. wow (wow). i was born here in los angeles and i see such changes as far as environmental with the smog. and. mm basically that's about it. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). i've been to several <s> uh several places in the united states yes. travel_changed (what do you enjoy about traveling). uh trying different type of cuisines uh i like to go to museum like the historical i'm a historical buff i. um. just uh going somewhere different than uh where i've been here all my life. travel_trips (i'd love to hear about one of your trips). uh let me start with uh. well try boston i had never been to boston before and when i went um i was able to look at the historical uh the buildings and i went to um. uh i saw um. um. eh the lake charles and the and the boats and stuff and it it was just it was a good experience and um. there's another place i went to i took a ferry and it and i my mind went on blank on it um. god. i can't even think of it right now um. but other than that uh new orleans i've been to new orleans i didn't go to the mardi gras it's just i don't like to go and it uh to mardi gras when they have a lot of. people um i just went on a off season. uh i enjoyed that and i've been to atlanta georgia. and i have taken a cruise. uh i've went to the caribbeans and i took the mexico cruise. uh i my next cruise i'd like to go to is alaska because i want to be able to see uh certain areas that we haven't destroyed yet as far as the environmental. thats_great (that's great). shyoutgoing (do you consider yourself more shy or outgoing). um i'm outgoing. as far as uh going places i don't have a problem um eating alone. um i don't have a problem meeting people. um i'm only shy in conversing back and forth to a stranger <laughter>. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). oh i have a favorite thing uh i like to go on the internet and i like to do sweepstakes i'm a a person that. loves to try to enter in a lot of contests and i've been very successful since i was a kid. i've won a lot of sweepstakes and. uh in the evening time uh i find like a hour of time and i just go online and just. eh i'm so good at it i know just about exactly the right time to even enter 'em i usually try to enter 'em before midnight when everybody else is sleep so it's been successful for me. memorableB (what's one of your most memorable experiences). um. getting married and having my children <laughter>. aw (aw). mm. kids_elaborate (tell me about your kids). i have a twenty-seven-year-old son and i have a thirty-one-year-old son um both of 'em uh well one of 'em's married the other one's not. and i just not too long ago became a grandmother so i have one grandson. and uh my uh son he uh works for the county of los angeles as a conveyance <co> a property conveyance conveyance examiner. and the other one is a computer engineer. so and i've been married for thirty three years. mhm (mhm). and um. basically uh marriage pretty strong. good_hear (that's so good to hear). easy_parent (do you find it easy to be a parent). you know what. if you build a foundation with your children. and have a good relationship with them. and talk to 'em and find out what's going on. and tell 'em that you love them uh my son i've taught them all the time when they went out the door i love you. and even today when they'll call me and hang up they say mom i love you. you always have to give them that that um good feeling when they leave the door. that you care. and uh i i've never had to go to <t> to <t> eh to any jail to get 'em out. um they've been pretty obedient i mean boys will be boys but um i never had any problem. as far as uh them getting into any serious trouble. and i'm very proud of that especially with boys i don't know how it would've been with a girls maybe a little different but <laughter> with boys i have to say they were pretty obedient and they respect the law. yeah3 (yeah). wild_laughter3 ((laughter)). parent_best (what's the best thing about being a parent). uh the best thing is watching them grow and become parents themselves and see what they learn basically from you. and um i've watched my son like i said i just a recent grandmother and i watch him how he handles his son. and it's it seems like he's learned a lot from his foundation that he learned at home. on how to handle his son to be responsible to go to work every day and he knows that hey. i got a wife i have a son and it's my job to make sure that i keep a roof over their heads. so it pays off. thats_great (that's great). and i i basically he treats her well. parent_differences (what are some ways that you're different as a parent than your parents). um my mother was more stricter on me <laughter> uh my my my parents um. for some unknown reason i i guess because i my sister and i we're the girls they they weren't strict on the boys but they were more strict on the girls. so they didn't let us go to a lot of places and then my parents also they weren't type that liked to travel. and i used to look at them and say no i'm not gonna be like them i'm gonna travel i'm not gonna just stay home i i mean i mean <me> there's nothing wrong with 'em because they. found love at home <laughter> and did things at home but they never really traveled anywhere and my mom used she was afraid of planes for one. and i used to try to talk her into get on a plane and go somewhere and she said oh i'm gonna go here i'm going to go there but she never did she died she never did do <d> do any travel. so i've made up for her. and uh i i want to do something different and that's to to travel more than and be more out there. i was more of a social butterfly my mother was a not a social butterfly. so i made up for it. okay_confirm (okay). control_temper (how are you at controlling your temper). i think before i speak. and then i am the type of person also to um. i take on other people's feelings before i um. blurt out the wrong thing i try to. uh analyze the situation first. before <bef> because sometimes you can put your <yo> open your mouth too soon and you can put yourself in something that you may not be able to get out of. yeah2 (yeah). last_argument (when was the last time you argued with someone and what was it about). um. <laughter> it's probably something about my husband did <laughter> oh he <h> i know what it was it's about uh well probably over some construction <cons> new construction that my husband is working on on our house. uh we had a disagreement on that um. men have their own way of doing things and um. i had told him not to use a certain uh. eh person to work on our house. but because of the personal relationship he has with this person he went on ahead. and now he sees all the downfalls. and he didn't listen and so i didn't say i told you so. but i guess he can tell by my facial expression. that uh he he'd have done wrong and i told him i said look you're losing money. and it became one problem after another so now all the construction thing is up in the air right now 'cause he knows he has done wrong. and uh but he doesn't wanna face the fact that well he knows it but he doesn't wanna really face the fact so he says look it's my project no it's our project. so uh eh that that's one of the biggest arguments what we're having right now um. that i can think of that's recent. describe_felt (how did you feel in that moment). i felt that he <h> he <h> he didn't really listen to me. and he more so looked at uh a cheaper economical way that he can get this done without going through the proper ways 'cause i told him that um. you need to do your research. i'm the type of person i do my research before i jump into something i i i try to dot my i's and cross my t's. but my husband he's not like that he's like oh i can get this person can do this project for x amount of money. and he's a good friend of mine so i don't care i mean is he licensed. he doesn't look at all that stuff he's he just jumps into it <laughter>. right2 (right). which cost him some extra money unnecessary money that he spent when and then i mean it was a lot of money. and so i was really very upset yesterday and i was very upset about it because. that_sucks (that sucks). it was just wasted money that we could've saved 'cause we wind up doing the same thing all over again. yeah_downer (yeah). and it didn't make any sense. situation_handled (tell me about a situation that you wish you had handled differently). um. i retired early. um i was very fortunate to retire at age fifty i retired in two thousand and two i was working for the state of california. um as a disability analyst and what happened was i was able the reason why i was able to retire so early because i'd been working since i was eighteen. and i had like thirty one and a half years of service. and what was so nice about it that only needed <n> needed to vest in like ten years in my health insurance. so i was able to get full health insurance but the only thing about it when you retire i was with calpirg and i don't know if you're familiar with calpirg but. um we we have a excellent retirement system and since i had been working with them so long. um. i didn't get the full percentage i should've stayed 'til i was fifty five but i got out at fifty and i didn't get the full amount but that's okay. um eh i i found myself going back doing a little part-time job. because of the economical reason and then i have wantitis <laughter> so um. i think that was the kind of mistake i did i should've kinda waited 'til i was fifty five than fifty but i look at it now as far as the health insurance i really benefited because of the rising cost of the health insurance have went up. and i don't i pay very little money. so i think that over uh negates the uh uh uh the money that i receive. yeah3 (yeah). hard_decisionB (tell me about the hardest decision you've ever had to make). um. let me see the hardest. it's probably when my mom died 'cause uh i'm not used to anybody dying. and my mother um. died in ninety nine of uh non-hodgkin lymphoma. and. i i xxx putting her funeral together um my brother and sister we never we would never face anybody dying. or putting a funeral together and all the responsibility <responsi> because i am the eldest it was put in me. and i'm like oh my god what do i do xxx. and so um i was kinda like left out there trying to find her insurance policy 'cause i had asked her to make sure she put everything in order. and she never got to it so the hardest thing was going through her house and trying to get all the stuff together and finding things. you know i myself i keep my things organized but um for some unknown reason she didn't have hers organized and. i think that was the hardest and knowing how much i had to pay 'cause i had to come out of pocket on some of my stuff. and unfortunately my mom <laughter> this is interesting. she had one little small barrel insurance but she had million dollar of accident insurance and she didn't die of course with with accident she had. a medical condition so that was something so we had to pay for the whole just about everything. been_hard (that sounds really hard). yeah it was it was but. and now i can handle i i i um <laughter> this will sound weird but um. since that i've learned from that so i have made it available for my children. that my husband and i we got together. and we wind up getting our insurance uh uh uh uh policy xxx not insurance policy but um. what do you call the um. barrel insurance we had that. and it just we've had it for mm many many years so it's almost paid but xxx ten years it'll pay for everything um the plot and everything. and uh another thing that i did i've even written my own obituary i know that sounds weird. so. my son. make one phone call that's it i don't want them to go through what. i went through. and my husband agreed that's the one thing we did agree on. makes_sense (that makes sense). and um. he said he don't want anybody to to have any problem uh people coming in and telling 'em what to do it's already written we did a living trust. i mean it's nothing they can do but make one phone call. mhm (mhm). and that's it. easy_sleep (how easy is it for you to get a good night's sleep). i have no problem sleeping i sleep very <laughter> well. pretty good. feel_lately (how have you been feeling lately). um. i've been a little tired but that's only because of physical condition um i have i found i have vitamin b deficiency and vitamin d xxx deficiency so it's more physical but not in the mental. symptoms_cope (how do you cope with them). um. exercise walk walking more so. behavior_changes (have you noticed any changes in your behavior or thoughts lately). no not really. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). i'm basically happily all the time i'm mm more so i'm making other people happy i get more phone calls of people want inspiration about things uh. uh when they have projects they working on and i try to encourage them. uh and it makes me feel good when they hang up and say you know hey i really appreciate your input um. thanks and then they i'll i'll follow up on 'em and see how they're doing. good_hear (that's so good to hear). BF_describe (how would your best friend describe you). oh uh resource person i've been um. described as a resource person from my supervisor. to from my friends because i'm the type of person i research everything i get into just about. i just don't  xxx dive into any situation i try to look up information uh. some i know we have the technology here uh that you can get everything on the internet but also go back to the old school like like even finding this place. i mean i did the map google but also i love the thomas brother i'm never gonna give up my thomas brothers map. yellow pages you'd be surprised i don't give up my yellow pages so there's certain little things that i don't really let go i know we have technology but. sometimes you know you'd be surprised that you can go around and find a whole lot of stuff. that even though technology gives <gi> you have it right at your finger but you can find things. and and they say i'm more of a resource person and most people come to me just to to look up things. and i get that that that spunk about it because i like to look for stuff and find it. uh_huh (uh huh). and that gives me satisfaction. self_change (what are some things you wish you could change about yourself). uh. i wish i can uh um. stop going up and down on my weight <laughter> i'll lose weight i'll go on this big diet before the summertime and. and then by christmas time i'm i have a what they call a yo-yo weight problem. and if i can stop binging and making food my friend. um. i think that's just a nervous disorder i just <ju> i like to eat and um. but also i don't like to be overweight either 'cause i have plenty of beautiful clothes at home. and i can't get 'em xxx on right now so. i know i say if i'm gonna go on this binge and try to lose weight for the summertime so i can get into those some nice clothes so it's mm mostly uh. not happy with my weight that's it yeah. mhm (mhm). regret (is there anything you regret). i'm sorry didn't hear you. regret (is there anything you regret). um. no not really i regret <laughter> that i can't stay skinny <laughter> i can't lose i mean i can lose the weight but i i regret not being able to keep it i i fall back on putting the weight back on. advice_back (what advice would you give to yourself ten or twenty years ago). um. let's see xxx ten or twenty years ago. mm. i would've saved a little bit more money before i retired <laughter> and uh xxx uh basically um. putting away more money before i retire. instead of retiring too early. Ellie17Dec2012_08 (what are you most proud of in your life). most proudest is of my life. um. meeting a lot of people that came in my life. uh i got good friends i still have fifteen of the best friends that i went to elementary school. and in very rare you could find anybody can walk around and say they have the same fifteen group of friends we were in a sorority together went to college together. lived in the same neighborhood and matter of fact we just had um well all of us had our sixty year birthday and our our high school. group we put together a sixty year birthday reunion. and here all fifteen of us with exception of one we're all alive and healthy and we keep in contact so i think uh. it's basically keeping the same friends i think eh we're gonna probably outlive each other <laughter>. asked_everything (okay i think i have asked everything i need to). okay. appreciate_open (thanks for sharing your thoughts with me). you're welcome. bye (goodbye). bye bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/439/439_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/439/439_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/439/439_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<sync>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm okay thank you. thats_good (that's good). where_originally (where are you from originally). um i was born in east los angeles. and. really (really). yes. like_about_LA (what are some things you really like about l_a). um the freedom to explore outdoors. and with different um. weather temperature <temp> you know with weather <clears throat>. temperature. and climates to go skiing or. to the beach maybe in the same day. mhm (mhm). i like that. dont_like_LA (what are some things you don't really like about l_a). um. mm i think probably the overcrowding. um and the smog. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). mm not not frequently but i have. travel_changed (what do you enjoy about traveling). meeting other people and learning about their environment and their cultures. travel_trips (i'd love to hear about one of your trips). sure um the last trip i've taken outside of here was to italy. and um. that was my second time being there. and. i enjoyed it more this time. because. um i knew what i wanted to see when i came back and um. and i was better prepared. for. italians and their culture i felt. i wasn't as uh you know i was just better prepared i thought. for that trip. memorableB (what's one of your most memorable experiences). um <clears throat>. that would be. um being in the countryside and seeing a very tiny house. in the midst of. acres and acres and acres of grapes was just. magnificent. wow (wow). study (what did you study at school). um human development. hard_decision (how did you decide to do that). um <clears throat> i actually didn't decide at first to do that i. started school with the intent of being a lactation consultant. and um i went to a program. in which you could get a degree as well as get your license to become a lactation consultant. and through the process i learned that um i had to do a long internship without pay and at the time <t> and i miss. i had a family so i had to make a different <diff> a career choice quickly. and um so the college offered. human development as a major. and i um. just went right in and used my used <u> used my units that i had already acquired. towards that particular major and. and i'm happy with it. thats_good (that's good). still_working_on_X (are you still working in that). um currently no i stay at home i have a little one. uh well he's not so little i'm preparing to go back to work. um. in the meantime i design jewelry. nice (nice). kids_elaborate (tell me about your kids). well i have three. children um i have a almost four year old and then i have two older children. seventeen and twenty three. easy_parent (do you find it easy to be a parent). no. parent_best (what's the best thing about being a parent). um that your children the the love <sigh> from them and for them is unconditional. parent_hardest (what's the hardest thing about being a parent). all the stages that they go through they're stages all the time. for every age <laughter>. and then everybody in my household is all different because they're different ages. like_what (like what). so. yeah3 (yeah). parent_differences (what are some ways that you're different as a parent than your parents). um i think i'm probably more in tune with those different stages. that's why it makes me crazy. um and i think that my parents the time that my parents were parents. it was just kinda like. you know is she fed is she dressed. she has a house i mean a roof over her head. and we're doing great as parents and we love her and so. it wasn't um there wasn't too much i felt that that parents thought about in terms of. that in terms of parenting in that way and like today you know there's books for every age. every year month. you know <clears throat> and um. so i think it difference differs in that way. mhm (mhm). tremendously. family_roleB (how close are you to your family). very close. <clears throat>. thats_good (that's good). shyoutgoing (do you consider yourself more shy or outgoing). outgoing. why2 (why). mm. i don't i don't um feel uninhibited <u> uninhibited. i. feel a little. you know. confident to talk to people. i probably talk. more than i need to <laughter>. uh_huh (uh huh). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um <clears throat> i bead. i <clears throat> do i design jewelry that's what i do to relax. thats_great (that's great). control_temper (how are you at controlling your temper). i'm pretty good i i. well i think i um. try not to. not to um feel or let others know what my emotions are. when i'm upset. um which is not good. 'cause if i don't do anything with them then i know that at some point it's gonna come out. and um. yeah that. that's uh something i have to work on. yeah_downer (yeah). like exercising or something. last_argument (when was the last time you argued with someone and what was it about). um <clears throat> it was my husband and it was about. um. he asked me whether i thought about cheating ever in our marriage. on him. describe_felt (how did you feel in that moment). uh really tired of talking about that same topic. tell_about_that (can you tell me about that). um. well it came it spawned from <f> from. a client of my husband's who's a female and she shared with him that she'd been cheating on her husband for like a year because she resented him for. many things. and um <clears throat>. and so he took that information and came home. and decided to ask me if i ever thought about it and what made me. think about cheating and. he knows that i've been resentful of him. and did that make me feel like it did that make me want to cheat or did i think about cheating. <clears throat> and um <sigh>. i we've had this conversation a lot of times. and uh i mean not just that but. i don't know just about cheating in general. and um so i just said what i. normally said normally say is that i haven't. um. cheated and that i. did think about that when we were first together. and uh but it was just a mere thought. and. um. and then his response was i know that if we cheated on each other we would never tell one another. and that just kinda. <sigh> i guess irritated me i was really bothered by that. and i just started thinking you know we're having this conversation yet again. and why are we having this conversation <laughter>. are you the one that's cheating and so that's how that. that. went into. that um. argument i mean it wasn't ayelling <y> yelling i mean it was part conversation and part texting. been_hard (that sounds really hard). symptoms_cope (how do you cope with them). um <sigh>. not talking. at all <laughter>. okay_confirm (okay). situation_handled (tell me about a situation that you wish you had handled differently). um <sigh>. mm. pretty much any situation that involves my children and if i've yelled. because i really don't like. if i came to the point where i've had more of yelled it bothers me because. um i was yelled at. a lot. and i just. feel bad about that and i. try really hard to not. handle any kind of situation that involves my children no matter how upset i might get. and result in in yelling. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). hmm. that would probably be whether to keep. a pregnancy or not. tell_about_that (can you tell me about that). yeah. yeah i um. i was just talking about it yesterday actually. and um. oh i was pregnant and. i had wanted i wasn't married yet and i had wanted to be married. and but i just. didn't think that i it was the right time for me. and um. i had. pretty much made up my mind that i was not going to keep that pregnancy. but i made the decision by myself. and when my partner found uh discovered that i was pregnant. he said that he very much wanted to have a child and wanted to marry me. and so that decision was quite hard. because i felt obligated to do so. and felt super guilty to not. and. <drops microphone> oops. and uh. this is on correctly um. hang on this ear piece is falling. there we go. that was probably the hardest decision actually you know what no. i wouldn't say that's the hardest decision i ever had to make i'm sorry the hardest decision that i had to make. in my life was whether or not <clears throat> um. the hospital should um unplug the life. or um life support machine for my father. or not. that was the hardest decision. change_directions (what made you decide to do that). um because i knew that the quality of life he wanted for himself was more than that. and to have been um. to resort to the situation that he was in. not capable of doing anything at all either speaking. for himself um. was beyond it. who he was and i just couldn't see him. like that anymore and he would be a vegetable i was told. so i agreed. to um resort that. sorry_hear (i'm sorry to hear that). easy_sleep (how easy is it for you to get a good night's sleep). not. hardly ever. why2 (why). <laughter>. too many things running on my mind um. and pretty much um. mostly on the weekends because my older kids are out and about with their friends. uh even though i. know that they're gonna come <co> i mean i'm constantly worried about. uh how they are when they come home and so i really can't fall asleep on the weekends most of the time. but um. and you <y> sometimes it's just been so many days of not getting a good night's sleep i'm just exhausted <ex> exhausted i pass out. but it's hard. feel_lately (how have you been feeling lately). very stressed. tell_about_that (can you tell me about that). mm my son is is um. has been. uh in dealing with some legal issues. and um currently is incarcerated. and uh. it's been really hard. behavior_changes (have you noticed any changes in your behavior or thoughts lately). yes i've been probably very short. moody irritable. trigger (are they triggered by something). well i often think about a lot of things that aren't even happening <laughter>. my mind just goes from one. point a to point b and i don't even know how i got there. um you know. it's interesting. uh yeah. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). yes. when_diagnosed (how long ago were you diagnosed). about three years ago. why_seek_help (what got you to seek help). um my. um o_b_g. suggested i. i uh. see a psychiatrist. therapy_going (do you still go to therapy now). yes. therapy_changes (what sort of changes have you noticed since you've been going to therapy). well um. i've. in the process of changing therapists so it's been about. because the program that i was in. um. lost funding. and i lost my therapist. or the therapist that i was working with and so it's been. about two months. maybe three now. and um but i did notice when i was in therapy. um that it was just an intricate part of my. my life my week to. see my therapist. um. it really helped me. cope. Ellie17Dec2012_03 (that's good). happy_lasttime (tell me about the last time you felt really happy). um. <sigh> when i picked up my son <laughter> up from um. when he was released. from um. jail. BF_describe (how would your best friend describe you). um. a go getter uh probably you know uh she would use the term hustler but meaning. that i'll. i'm not afraid to do a lot of different kinds of jobs to. do what i need to do to support my family i mean you know. legally of course. um. outgoing. um maybe sometimes a little too for too outgoing for her. um. and. compassionate. sensitive. loyal. mhm (mhm). self_change (what are some things you wish you could change about yourself). mm. all the things that remind me of my mother <laughter>. like_what (like what). well yelling the yelling part was one. um. just <j> just the little things that. used to drive me so crazy i see <s> can see myself. doing them and it bothers me a lot. regret (is there anything you regret). regarding what. mind (whatever comes to your mind). mm. <clears throat>. um. not too much really i don't know. advice_back (what advice would you give to yourself ten or twenty years ago). <clears throat>. to go to college right after high school. and not wait. um. and <sigh>. that i didn't really need to be in a relationship to be happy. or that you don't have to be in a relationship to be happy that you can certainly be successful and. not in a relationship and still be happy and. live life. mhm (mhm). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). um. what did i do. mm i visited my son yesterday and that was really good. yeah. describe_felt (how did you feel in that moment). i was happy that he was safe. Ellie17Dec2012_08 (what are you most proud of in your life). um. my children. and uh. my accomplishments. in um. school and work. thats_great (that's great). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/440/440_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/440/440_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/440/440_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<sync>. yes. okay other than this laryngitis i have. uh cleveland ohio. in uh. seventy nine i think it was <laughter>. mhm. um. once a year. something like that or less. um uh there's a lot more to do here. um. they're a little more narrow minded. back there and republican <laughter>. um well originally show business. but probably to get away from uh. cleveland. it was very difficult at first. um i'm not used to uh change i don't like change very much you know. having to. uh meet new people and. figure out how to make a living. well. i like. the um different opportunities you have the different the health consciousness. the movies um. the variety of things you can do the places you can go the weather. um the driving the congestion. some of the. superficial attitude. the importance mhm. um well not a lot but i do. i just came back from vegas to. visit relatives we met there. and i'm going to mexico. um next month. um. well seeing the different. cultures like been to europe. greece france <p> um italy. um. i like going to places such as mexico where it's gonna be sunny and just lying out i went to last year i went to arizona. i never saw sedona that was really uh. an experience. pure peaceful. about sedona. yeah. well sedona's a very. energetic place and um i thought it was desert like flat. kind of desert looking but it was it's very rocky and when you land in flagstaff there's these beautiful. uh pine trees. and it's the elevation is high and and coming into sedona was very beautiful and. and after a day the pain in my back went away. that i had there for months. so and you had this even though we went to bed late and got up early you had this energy. so it was really um. very mystical. in life <laughter>. or in sedona in life. um. well being on stage in boston. and um that was great i i loved doing that. um. um just being with friends and laughing. are some of my highest moments when we're laughing hysterically. well um. i don't know of a particular situation but when i when i decorate for special events. and um. i worked with somebody on a regular basis and we would just find humor in everything and. just laugh and. and. i i can't think of particular situation or what we were laughing at but. just being with somebody who's in tune with. my sense of humor and uh gets. my jokes and. you know i get his and we're. just um enjoying that moment. um speech and drama. i i majored in. uh no not now. i always was interested in um. musical comedy when i was a child i would. sing along to records in my living room. and i was always in choirs. in school and then when i. uh went to high school i joined the drama club. and i i just always had an interest and i always had a. a big personality and. well <laughter>. um i don't know if i have a dream job anymore. i'm sixty and. i don't know if i. have aspirations anymore towards towards doing anything. right now i'd just rather not work <laughter> and just. um. relax and travel but um. i i like being creative. in in any way i can i like independence. and i kind of have that right now so. i'm okay. um. well i i watch my favorite television shows that i've recorded. and i also am a buddhist i've been a buddhist for. um gosh since nineteen eighty eight. and um i'm. a district leader in my community. and we have meetings and that really helps to. center me and bring out my higher self. so if i get tense or nervous i i chant. um sometimes okay sometimes not. a lot yes yes <laughter>. less and less though it's been happening less and less. but um. yeah sometimes it's got it's. it's um. created difficulties. well. i can't <c> <sigh>. i can't remember an argument i remember getting angry like. was just when i was on my trip in vegas i was driving. and the g_p_s said stay in the left lane and i stayed in the left lane but when i got off the freeway it brought me onto the ramp that went back onto the freeway. about four miles out of our way and i just. i got very angry for about. thirty seconds and then i had to. calm myself down and say okay alright so we're gonna be late you know i had to talk myself out of it. so it wasn't really an argument with anybody but. i felt kind of. bad that i overreacted. um. you mean in my life <laughter>. manys. yes. um. gosh there's so many <laughter>. i i just wish that when somebody tells me disappointing. information. like. they're not gonna use me on a job or something. that i would. take an attitude that. um. i'll find something better it's okay and. move on as opposed to feeling what's wrong with me. and. you know did i do something wrong and then get angry at them and. you know that. whole uh. thought process that really doesn't help the situation. and i do that more often. but i. since i started chanting. but it doesn't you know. i'm not always in my high life condition <laughter> where. i can do that. um i find a lot of situations <laughter> hard to make like you know what. television to buy or something <laughter> but um. um. i guess <gue> i guess the hardest decision would be one that had the biggest consequences. and um. um. or leaving my  comfort. zone <z> place. if the decision meant that i have to leave my comfort place. that would be a very difficult decision for me. and probably leaving a relationship. very hard because. you <y> you know i get dependent on that relationship. so i usually. live it out til. it's for you know it's. they leave or something you know it's very hard for me. to make that decision that this isn't right and i have to move on. so what i usually do is i don't make the decision. and i end up suffering. but longer. so. mhm. can we move on. um. well. uh it's hard. because um i don't know if it's because i have pain. in my back. and neck. but. i i it's difficult for me to. stay asleep i'd i i. i don't get a um. a deep sleep. um. but. at because of. uh well i so okay it's hard to say because right now i i have this cold and i've had it for two weeks so i've been taking nyquil. and that's been putting me to sleep so. i have been um. sleeping better because of it. but last night i i woke up coughing so it's it's hard to tell. but before that all happened. i was um. finding it difficult to stay asleep. and so therefore i'm tired during the day and. uh sometimes i'm groggy sometimes i'm irritable. but yeah i'm not really sure if it's related to this pain in my back or. emotional things or or or or not. i'm sorry could you repeat that. have i studied changes in my behavior. uh no <laughter>. i was not. no. mm mm. oh i was happy last week <laughter> you know. well i uh. was going to um. vegas to. meet my family was my. my family was flying in from cleveland to. uh there we have a. a relative in uh vegas. and i drove with my friend. and it was my brother in law's seventieth birthday. so. we all went and. had a good time in vegas. i mean i was struggling through my cold but. but it was fun it was nice. well <laughter>. uh they think i'm funny um. they feel that i say it like it is. um. they understand <under> they all say they understand me <laughter> so. people who don't understand me i think sometimes don't know how to take me. 'cause i'll. i'll say something sometimes come out come across sarcastic. but just <ju> that's just the way i talk. so. um my um. the. anger that sometimes wells up in me. you know i just. but although that that really made me i think. a lot of the person that i am you know all all of your. experiences make you who you are. and how you handle them. makes you who you are and if you don't have those. lows you don't really know what highs are. so i don't. i can't really go back and regret you know i wish certain things didn't happen whatever. but really what matters is today and now and how you handle today. and i wish that well i can i don't wish i know that i will have less of these. moments where i've. just blurt out you know anger or something. i just wish that would happen more less. that the anger parts would happen less. and they are so. i guess it will <laughter>. happen less. um. don't give up hope live in the moment. and um. everything will everything will work out everything will work out. and if you believe that. then you really have nothing to fear. um. the fact that now. and for the past twenty years twenty some years i've been. cultivating myself and i've become <be> i've become. more um. compassionate person. and i'm able to um. uh. <ss> understand people better. and see that you know their suffering <ss> they're suffering too. and. that. if you if you treat people. from that respect that they're. they have their problems too and they're suffering with their problems too you're able to live a better life because. you're not allowing that to affect you you're not taking it personally. and at the same time you're becoming more compassionate person and when you're more compassionate. you're you're happy and your life is happy. okay.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (the interviewer) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/451/451_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/451/451_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/451/451_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. <clears throat>. yes. i'm doing fine thank you. i'm from los angeles. california yes. um well the main thing i like the weather um i like the lifestyle i like um the variety of beach um snow. we have it all. um some things i don't like about l_a um. the rent is way way way way too expensive it's ridiculous. um i have i'm well-traveled. um i enjoy seeing new places going new places um it's different everywhere the people are different. um it's fun. um okay well the most recent is last year i went to family reunion in new orleans so that was in june. and um while i was there we also visited slidell louisiana for the um. the swamp tours. and vicksburg mississippi where my mom is from and we spent the night in ferriday lousiana with my aunt who will be a hundred and one. this year in may. um there's a lot um. as far as traveling or just period. uh most memorable experience um well i don't know if it's just one. um probably when. i used to travel with my dad that's where i got a lot of my traveling from. um yeah it was bus car sometimes planes uh mostly what just i guess i'll say mostly down south but it was. really fun. especially the road trips. mhm. um just general and also drama. uh well my dream job is. to become a real estate investor. um well i've sort of really been into it ever since two thousand five um i just don't have the capital right now or the connections that um. since i do like real estate i'm just going to start off as a real estate agent. so i should have my license um sometime this year. outgoing. um well i'm not shy um it could be a little bit of both but um i'm pretty outgoing. um well speaking of hawaii i did uh live there for a year and a half but what do i do to relax is either um usually take a nap <laughter>. um take a bath. um or just try to get things off of my mind and try to spend my energy in more positive ways. um it needs to be worked on but um. i know when to control it. um when i need to. um. well me and my ex-husband still get into arguments um it was just over a text message but. um actually it was my fault but um usually it's his but it just starts little and kind of snowballs out of control but. um that's usually how it goes <laughter>. um. well. i xxx don't know what else to do except for pray on it because i thought once i moved into another house it would be over but i see that we're still getting into it. so um i don't know maybe ignore it or if he wants to be right then let him be right i guess. um. probably quite a few things but i don't regret anything i've done in my life but um. situation i wish i would've handled differently um just. kind of everything in my life almost <laughter> i could've done it differently or i would if i had the chance but i'm not worried about it 'cause i don't regret anything that i've done in my life. the hardest decision um probably when i had to get a divorce that. mm that may have been the hardest or one of the hardest decisions. um it was just a lot of um. a lot of stuff through the years um <clears throat> the relationship had kind of deteriorated um. if the relationship. between us was still good. then the things that he were doing um. i would have been able to overlook it a little bit more because um i've i would feel like well our relationship is good and. it's difficult to find a really really good relationship but since our relationship deteriorated and there's just a lot of disagreement and arguing and. problems financial problems and he's doing this so um. i just decided just forget it i mean i tried but. eh you know he didn't wanna cooperate so. um. well i'm happy with what's going on now i mean i wish that we could still be a family but since that's not going to happen yes i am happy with my life right now yes. um. something i can erase um. mm i don't think i really need to erase anything um. i've finally gotten over the way the kids treated me at school but other than that i can't think of anything to erase. um it's fair slash good um there's no problems right now so i guess i'll just say good yeah there's no problems. um well i would have to say my mother. yes. um well she's just always supported me and. everything that i've done um whether it's. good or not so good so um i think that's a blessing. mhm. um sometimes sometime it's not. um well i just don't get enough hours of sleep i guess that's what it is as i would like to um sometimes. so um that's more the problem i would like to get. mhm. um just sleepy <sigh> yeah sleepy tired feeling like i wanna go take a nap. um i've been feeling fine. mhm. uh no they've been about the same. no. no. um really happy uh probably last week because i got over to a little bit of money so <laughter>. um well i guess my best friend would be my mom or maybe my um entertainment friend that i've been knowing since ninety six. i really wouldn't. i'm not gonna say i don't consider him a best friend but we don't really hang out that much but he is very um generous to me and my mom. mhm. so. um. well right now i spend my weekends doing chores and classwork and sleeping in. but maybe after the classwork is out of the way um <laughter> maybe i can do something else. uh myself well i do wish that um. at times i could control my temper a little more and um of course i would like to lose weight. um be a little bit more active and um i wish my skin would clear up. um it was probably when i was in school um school years are terrible for a lot of people because the kids are animals. so um they try to make you feel like um you're nothing like you're. piece of dirt under their foot so that's probably the last time as an adult no. um i would say that i'm genuine um i'm honest um i'm supportive. and um i'm just a good friend. no. um well uh twenty years ago um. just because you're pregnant that doesn't mean that you're eating for two and you can eat loads of food like um people tell you. <laughter> um that's the main thing um i'm going to tell my daughters no. um just eat as you normally eat but eat more healthier um there's no need to gain eighty pounds when. the baby is just twenty pounds or less and you have all this weight to lose. um also if i came into any money now twenty years ago i was probably just thinking about shopping or um. just kind of spending it on frivolous stuff whereas now i would um invest it. um so yeah i think that's about it <laughter>. um proud of uh <sigh>. mm i guess maybe myself um. my kids. k thank you. bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (the interviewer) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/458/458_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/458/458_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/458/458_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). sure. okay_confirm (okay). how_doingV (so how are you doing today). i'm well thank you. thats_good (that's good). where_originally (where are you from originally). southern california. really (really). like_about_LA (what are some things you really like about l_a). the weather <sigh> the uh mountains the ocean. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). mm traffic. air quality. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). no. not a lot. why2 (why). mm. time. money. okay_confirm (okay). study (what did you study at school). i studied art <sigh>. studio art. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). it was just always a a talent and a desire i had from childhood. still_working_on_X (are you still working in that). i am. dream_job (what's your dream job). mm making. a good living through my art. difficult (how hard is that). it's challenging. tell_about_that (can you tell me about that). well. i need <nee> it's about having the time. and finding. a niche that appeals to. others while being able to do work that stays true to my own vision. mm (mm). understand (i understand). shyoutgoing (do you consider yourself more shy or outgoing). somewhere in between. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). i read. i walk dogs. i spend time with my family. okay_confirm (okay). family_relationship (tell me about your relationship with your family). oh it's very good i i love my family very much and they love me very much we're very supportive of each other. good_hear (that's so good to hear). control_temper (how are you at controlling your temper). i'm pretty good most of the time i'm not so great. when i'm dealing with a lot of rush hour traffic. but it's not out of control <laughter>. last_argument (when was the last time you argued with someone and what was it about). hmm. i don't really remember i wanna say it was probably my daughter and it was probably about something stupid <laughter> some little. stupid thing. wild_laughter3 ((laughter)). kids_elaborate (tell me about your kids). um. my daughter is um. thirty nine. beautiful. brilliant. um. very talented very uh. uh. goal driven. my son is twenty seven. he is more laid back. sweet <s> very sweet. um and he's. starting to. be a little more goal driven. um a little less satisfied with just uh the daily grind. mhm (mhm). easy_parent (do you find it easy to be a parent). being a parent is um. very challenging. in a wonderful way. parent_hardest (what's the hardest thing about being a parent). um i think the hardest thing is is. eh fear and worry for your children um. today's world can be very. um. violent and scary and you fear for your children's safety and well-being. yeah_downer (yeah). symptoms_cope (how do you cope with them). i'm sorry. parent_best (what's the best thing about being a parent). oh gosh. um. mm friendship <frien> eh the close friendship you have with your children the. the uh uh love the support the joy of just. everyday little things that you share. parent_differences (what are some ways that you're different as a parent than your parents). oh <laughter> well i'm i i. talk to my children about anything and everything. um we're very <v> have a very open communication. which in my parents' generation i think children were more seen and not heard. yeah3 (yeah). situation_handled (tell me about a situation that you wish you had handled differently). <deep breath> hmm <sigh>. well with my daughter my first child i was young. and inexperienced not only in being a mother but. and naive in a lot of ways regarding life in general. and i think probably eh most parents mm have regrets uh. of uh situations they may have had their children in when they were. when they were young that. weren't the best. okay_confirm (okay). feelguilty (what's something you feel guilty about). <deep breath> <sigh>. sometimes i feel that i should've. been. more aware. at a younger age. tell_about_that (can you tell me about that). mm just xxx just mm decisions and situations that uh decisions you make situations you find yourself in when you're younger. out of being naive and and um. even though logically i know that. it's something that couldn't be avoided at the time. you know as you get older you eh hindsight is twenty twenty as you get older you you look back and wish that you. had've been more on top of your your uh. your life when you were younger. yeah_downer (yeah). hard_decisionB (tell me about the hardest decision you've ever had to make). oh gosh. i honestly can't think of anything. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. um. i don't know that i would want i i can think of an event i don't know that i would wanna erase it from my memory because. eh i feel that we learn from. everything. and there <the> there's i i don't wanna lose the lesson that i'm to learn from that experience. makes_sense (that makes sense). influence_positive (who's someone that's been a positive influence in your life). positive influence in my life uh my daughter. my son my granddaughter. um. there's a a a oddly enough an author uh carlos castaneda. tell_about_that (can you tell me about that). um. just a a a positive <po> my my family's been a positive influence because of their love and support and. uh in reading carlos castaneda's works i find that he. has a brilliant mind. and because i've. practiced some of what. he talks about in his books. and experience them. as being authentic. um. uh whereas some people. you know. question his validity i i found that. he has something very extraordinary to offer. mankind. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). pretty easy. <laughter> i fall asleep pretty quick. thats_good (that's good). feel_lately (how have you been feeling lately). good. behavior_changes (have you noticed any changes in your behavior or thoughts lately). <deep breath> mm. no not really just always looking for the next uh. um. project to. to uh. get started on. okay_confirm (okay). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). yesterday <laughter> yesterday was mother's day. and uh my children gave me flowers and beautiful gifts and made me a wonderful brunch and. aw (aw). we spent the day together and it was very very nice. great_situation (that sounds like a great situation). BF_describe (how would your best friend describe you). oh um. easygoing. um. easy to be around um. friendly happy. uh_huh (uh huh). self_change (what are some things you wish you could change about yourself). <deep breath> hmm. i would like to work on. being um. more focused. on. on uh projects. feelbadly (tell me about a time when someone made you feel really badly about yourself). oh gosh. probably when i was a kid you know kids can be uh. kids can be cruel to each other. uh. so nothing that um. i still. at this age. take personally or or you know hold a grudge for. okay_confirm (okay). regret (is there anything you regret). um. sure everybody has regrets but. you do the best you can do at the time and you learn and you move on. advice_back (what advice would you give to yourself ten or twenty years ago). mm. i don't <do> i don't know i. i can't answer that one. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). oh gosh um. i read a great book um the last couple days and i've been working on a new painting that uh. i'm really pleased with i like the way it's going. nice (nice). Ellie17Dec2012_08 (what are you most proud of in your life). um. my kids. my the fact that my kids are. are uh. wonderful human beings i feel very blessed. good_hear (that's so good to hear). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). goodbye. <laughter>.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/472/472_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/472/472_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/472/472_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). uh yeah sure. okay_confirm (okay). how_doingV (so how are you doing today). <laughter> i'm alright uh. i'm in a weird test study right now. wild_laughter3 ((laughter)). where_originally (where are you from originally). uh i'm from los angeles. really (really). mhm. like_about_LA (what are some things you really like about l_a). <ss> all kinds of different things to do in this city. like_what (like what). uh. well. i don't know each each area is a little different and it's hard to get boring around here. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). oh you know the traffic and the smog and all that. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). not as much as i'd like to. why2 (why). mm money mainly. lack of money. understand (i understand). travel_changed (what do you enjoy about traveling). i like seeing the world and seeing all the different places. travel_trips (i'd love to hear about one of your trips). went to uh went to russia three years ago. nice (nice). memorableB (what's one of your most memorable experiences). yeah. i like to go into the churches we did a huge trip of all the churches in the area. thats_great (that's great). study (what did you study at school). uh. music for the most part. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). uh i been playing music for a long time. still_working_on_X (are you still working in that). yeah. dream_job (what's your dream job). xxx musician touring performing musician. difficult (how hard is that). really really really hard. why2 (why). <ss> a lot of competition and luck involved. that_sucks (that sucks). i agree. shyoutgoing (do you consider yourself more shy or outgoing). little of both i suppose. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. again probably just i i play a lot of music. sit down with a guitar for a little while. thats_good (that's good). control_temper (how are you at controlling your temper). i would say good i think i'm a calm person. mhm (mhm). last_argument (when was the last time you argued with someone and what was it about). i'm having difficulty even remembering <laughter> uh. nothing big in a long time. okay_confirm (okay). situation_handled (tell me about a situation that you wish you had handled differently). mm. i'm having difficulty thinking of one on the spot right now. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). the hardest decision i've ever had to make. <laughter> uh. i i'm not sure i i can't think of anything. hmmB (hmm). feelguilty (what's something you feel guilty about). guilty um <laughter>. <laughter> when i was a boy. i stole a little golden bicycle from an old lady. i'm not proud of it <laughter>. okay_confirm (okay). <laughter>. family_relationship (tell me about your relationship with your family). um. it's <ts> not ideal. i live with my parents i'm twenty three years old. and that's becoming more and more awkward. understand (i understand). tell_about_that (can you tell me about that). i think. i don't know i think things are improving i need to move out. i need to get my own apartment and uh. then we can come back around and be friends i'm sure with my parents. yeah3 (yeah). influence_positive (who's someone that's been a positive influence in your life). just uh there's a lot of positive <laughter> influences in my life i've got a good group of friends you know my family i love them nonetheless but. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). easy i would say. thats_good (that's good). mhm. sleep_affects (what are you like when you don't sleep well). um. just uh not uh not as groggy as some people get i don't know i. uh_huh (uh huh). feel_lately (how have you been feeling lately). just in general uh. well. i'd say. things are alright. behavior_changes (have you noticed any changes in your behavior or thoughts lately). um. no nothing huge. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). mm mm. happy_lasttime (tell me about the last time you felt really happy). last time i i had a really good band practice last night with all the friends i felt really good about that. awesome (awesome). mhm. BF_describe (how would your best friend describe you). think generally funny and good to be around. self_change (what are some things you wish you could change about yourself). uh work ethic i think is a big one. tell_about_that (can you tell me about that). sure uh. you know i i have a lot of projects i've planned for myself in my life and i have difficulty completing them. why2 (why). i like to use space as an excuse that's my go-to one uh. i don't have a good studio to record music or. isee_downer (i see). feelbadly (tell me about a time when someone made you feel really badly about yourself). um. well okay this uh this current band that i'm working with um. i. was told i'm a part time member in this band and i was told that uh. you know i wasn't officially in the core group and stuff i felt pretty bad about that for a few days. im_sorry (i'm sorry). it's alright <laughter>. regret (is there anything you regret). uh. in life. mhm (mhm). maybe going maybe finishing college that might be something. not. change_directions (what made you decide to do that). um. i don't know i just never. i i never came to pass that i would transfer to. a four year university and get a bachelor's degree. okay_confirm (okay). Ellie17Dec2012_07 (what would you say are some of your best qualities). best qualities i think. generally that easygoingness and. good sense of humor. uh_huh (uh huh). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). i did recently that i really enjoyed. last weekend i went camping on a beach with a bunch of friends that was nice. nice (nice). yeah. Ellie17Dec2012_08 (what are you most proud of in your life). most proud of um. i guess you know musical accomplishments i've put a lot of work into that and i'm finding success in my way. asked_everything (okay i think i have asked everything i need to). <laughter>. thank you. appreciate_open (thanks for sharing your thoughts with me). thank you that was interesting. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/476/476_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/476/476_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/476/476_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes thanks. okay_confirm (okay). how_doingV (so how are you doing today). i'm well thank you how are you. thats_good (that's good). great_thanks (i'm great thanks). where_originally (where are you from originally). i grew up in oklahoma. really (really). mhm. when_LA (when did you move to l_a). um i moved to l_a about five and a half years ago so i used to be on the west <we> on the east coast and then i decided i wanted to come out here. often_backB (how often do you go back to your hometown). my hometown not very often um most <m> most of my family's moved away so i visit them but i don't actually get back to oklahoma much. compares_LA (how does it compare to l_a). <sniffle>. oklahoma's very different um. uh l_a's a lot more exciting. there's a lot more um. uh to do here and um. uh the ocean obviously is very nice so. mhm (mhm). why_LA (why did you move to l_a). um. you know that's a good question i um. i wanted to try something new and i've always loved the beach and. i thought uh and i also like big cities so i thought l_a might be a good place for me to come. happy_didthat (are you happy you did that). very it's probably one of the best uh decisions i ever made. good_hear (that's so good to hear). <laughter>. adapted_LA (how easy was it for you to get used to living in l_a). pretty easy i think um eh it seems kind of natural. it seemed like a good fit. um i just really like it here. living_situation (how do you like your living situation). oh it's great um i have a couple of roommates and we get along really well i live a couple of blocks from the beach. um and uh every day i get to walk on the beach or. um you know hang out with friends and it's just it's kind of like being on vacation all the time it's really nice. awesome (awesome). study (what did you study at school). mm. i studied philosophy and um political theory and government. and did a little bit of english literature on the side. hard_decision (how did you decide to do that). um it. kind of just happened naturally i think uh. i went to liberal arts school and got kind of a exposure to a lot of different. areas and. i just followed what i liked and was interested in and ended up spending a lot of time studying that. still_working_on_X (are you still working in that). um. not exactly i work for an educational nonprofit so i work with graduate <grad> with graduate students um in the social sciences and humanities. mhm (mhm). um but i don't actually um use my philosophy background very often. dream_job (what's your dream job). <laughter> um. you know i have actually studied to become a success coach. um and so i working with students is is kind of a nice. aspect of of doing that but i'd really like to work with other <o> with other people so not just students. um but help them to achieve their goals and realize their dreams. difficult (how hard is that). um i'd say it it it's fairly hard um in the sense that. um. you know it can be challenging for people to actually. be motivated and do all of the work that needs to be um. undertaken in order to realize their their dreams but and it it's also a challenge because making a living at it. uh requires charging people money <laughter> so um finding people who are willing to pay for that can be um difficult too. yeah_downer (yeah). shyoutgoing (do you consider yourself more shy or outgoing). um i'm definitely on the shyer side i'm an introvert so. why2 (why). um i'm pretty good in one on one situations with people but when you get me in a group with more than a a couple of people. i'm very much an observer so i tend to listen a lot and i'm not as engaged. and i think that um is. something that goes it is noticed by others and it it maybe is a little bit odd to them especially if they're not introverted. um so i i'd say and it's also a challenge for me i tend not to be the person who introduces myself um in a room full of strangers. okay_confirm (okay). control_temper (how are you at controlling your temper). <laughter> pretty good i think. um but i do have a temper so i can get i can get upset from time to time. landed_trouble (has that gotten you in trouble). not really um it can be a challenge when i'm driving <laughter> but other than that no. last_argument (when was the last time you argued with someone and what was it about). hmm. hmm. i'm not sure. it would've probably been a discussion over politics. and it probably would've been a friendly argument. um. probably with one of my liberal friends so. but i actually can't remember the specific time. mm (mm). okay_confirm (okay). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. <sniffle>. mm. i meditate. um i. do that almost every day. um i also walk at the beach i love the ocean and i really like the sounds and just being out there is very peaceful. um and i like to read and be alone just with my thoughts. mhm (mhm). so that's nice. thats_good (that's good). situation_handled (tell me about a situation that you wish you had handled differently). mm. well let me think about that for a minute. <sigh>. hmm. <laughter> i'm having a hard time coming up with anything i mean i i i'm sure there are plenty of things um. just nothing comes to mind um <sniffle>. <sigh>. hmm. back_later (let's come back to that later). okay i'm sorry <laughter>. memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. well this isn't exactly an event it's it's a dream and it's not a particularly. um traumatic dream so as far as dreams go but. um i do have it sometimes. probably more often than i'd like so i wouldn't be upset if it. you know if i didn't have it. um and it's just a version of a dream that i think a lot of people probably have but um. it's usually me in school somewhere. at the end of the semester. haven't gone to class taking the exams know i'm going to fail. and. you know really unhappy about it wishing why didn't i. study and attend class the way i should have. um which actually wasn't really a problem for me in school but now i have this dream sometimes and it's kinda frustrating. and i'm not exactly sure. why i mean i know why but i don't know what it applies to because it's not like i am worried consciously at least about failing things so. mhm (mhm). trigger (are they triggered by something). no i don't think so. um at least not not that i'm aware of. okay_confirm (okay). feelguilty (what's something you feel guilty about). <sniffle>. i feel guilty um i have a a brother and a sister-in-law and a nephew. and they live on the east coast. and i love my nephew he's eight he's adorable and um. i when i used to live there when he was younger. um spent a lot of time with them and. since i've been in california and particularly in the last year i've spent a lot less time visiting them so. for example i saw them for a week at christmas and then i went back. in <i> at the beginning of may so it was you know four months between the last <la> the last time i'd seen them. um and that i felt bad about because. we really enjoy each other's company and he. um you know really likes me to be there but then he gets upset when i leave and he asks when am i coming back. so that's um. that makes me feel bad sometimes. understand (i understand). family_relationship (tell me about your relationship with your family). mm. um. well i have a brother i'm very close to him. he's younger. and. um he's like four four and a half years younger. he's married um i have a nephew. um my both of my parents have passed away. so it's just the two of us and we have a large extended family but we're not that close with them um with most of them. um. on my father's side there's one brother. um and he's married and has a few kids so i have a few cousins on that side but then on my mother's side there are. <sigh> five <fi> four or five other kids um. most of them with several children of their own so i have a lot of cousins on that side but they live all over the country and um. so we stay in touch a little bit through facebook um and there a couple that i talk to on the phone and visit every now and then. but you know we're not that close with our extended family so. okay_confirm (okay). influence_positive (who's someone that's been a positive influence in your life). um. i'd say well. um i i mean i have a lot of friends i think that have been positive influences. scrubbed_entry. when i came out to california. um. i started working at a nonprofit and it was kind of a strange place it was very different from what i was used to um. it was a little bit challenging and she also worked there so. um we worked on a program together over the summer and got to know one another and. um we just established this really strong friendship and. she's kind of i would say my best friend probably here and probably just in general um and now she's moved to vegas um which is a little bit tough for me um. but uh we're going to napa this weekend so that should be good um but she's been a very she was a very positive influence because when i came out here and didn't really know anybody um. and it you know since i'm an introvert it's not that easy for me to make friends it was really nice because we share a lot of the same values and we have a lot of fun together and you know. i think she kinda gets me so it's a lot of fun to hang out with her and and that's been nice. good_hear (that's so good to hear). easy_sleep (how easy is it for you to get a good night's sleep). i'm a sleeper <laughter> so it's pretty easy um. sometimes my you know. depending on how long i've been awake <clears throat> i can be wound <wou> a little wound up and so sometimes i have to take a little while to decompress but. um i usually meditate right before i go to bed um and that's very helpful. um and i can sleep. uh. you know i i i generally sleep in ninety minute cycles. so. um you know usually six or seven and a half hours but i can easily sleep nine hours if i have the time and inclination. um i usually don't wake up in the middle of the night. or at least if i do i don't remember it. so. uh_huh (uh huh). sleep_affects (what are you like when you don't sleep well). um well i don't <do> actually don't sleep very well when i travel <s> one of the things i do for work is i travel uh quite a bit. because i work for a company that's back east so i work from home. most of the time but then i travel. like one week a month. and when i travel i'll take the red-eye. um and then i'll visit with a lot of friends in the evening so i don't sleep that much it's not that i. um sleep. poorly or badly it's just that i um don't have that much time to sleep. and the first day. after not sleeping or not sleeping much is okay. but usually the second day is not very good. um so i get a lot more tired uh and it's harder to concentrate. and um. i don't know it just feels like more of a struggle. okay_confirm (okay). feel_lately (how have you been feeling lately). i would say good. um. summer is a little <l> is an is a busy time for the organization that i work for so i'm a little. um i i don't know <kn> know if stressed is the right word but i'm you know a little anxious about. um everything going well this summer but um in general i'm feeling pretty good. behavior_changes (have you noticed any changes in your behavior or thoughts lately). not really i can't i can't think of anything um. there <th> there is one thing i um i do struggle with exercise like i like to walk a lot um. and i hike with friends and. um i had been really motivated about it um for a couple of months but then i went away um to the east coast and when i came back i was a lot less motivated. um because i didn't really exercise when i was there. and i'd gotten out of the habit even though it had only been about ten days and so now i'm struggling to try and get back in the routine and it's not going as well as i would like. im_sorry (i'm sorry). it's okay. thank you. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). hmm well. scrubbed_entry. he's a lot of fun and. um he really likes me and i really like him and we play a lot of games and talk a lot and. we're actually doing a book club now so we're gonna skype and. um maybe i'll get some more time with him that way but uh just being around him is fun. BF_describe (how would your best friend describe you). hmm. <sigh>. well she'd probably say that i know how to have fun. but that i can be serious. and um. that i you know care about others. uh. and that i'm loyal. and. i'm not sure what else. um. i think those those are probably the main things. okay_confirm (okay). self_change (what are some things you wish you could change about yourself). <sniffle>. um i wish i had more self-discipline <laughter> so. um. i wish that you know i could diet um or eat healthier foods and not have a problem. uh with sugar because i love to eat sugar. i wish that i would not procrastinate because i've gotten a lot better about that but i still do and that can be challenging. um and i wish that i um. xxx. i don't know. uh. i think i wish that i was in a relationship. so. probably those things. okay_confirm (okay). feelbadly (tell me about a time when someone made you feel really badly about yourself). mm. hmm. so at the last organization i used to work at. i had a boss and she was. i don't feel like she was um. i don't think we were very compatible um and she uh. used to push my buttons or so i thought. and so um. one day she was really upset about something um because a board member had called her up and asked her a question and she didn't have the answer. um and he was upset about something and. it was something to do with my department so she called me into her office and let me know how unhappy she was. um. but it wasn't i i've been a manager for many years um and i. have very strong opinions about how you handle. challenges with people <peo> with staff members. yeah2 (yeah). and the way that she handled the situation with me was really inappropriate i thought. um and she clearly was trying to frighten me and make me feel. um you know incompetent or at least that's the the way that i felt about it. and um. i did you know. i tried to be very calm and. said that i would take care of it and i did take care of it um but. uh after that our relationship wasn't really the same and i ended up staying <st> uh leaving there. to go back to the old organization that i'd worked for not that long afterwards because i just didn't really have a lot of respect for her after she did that to me. or after we had that interaction so. yeah_downer (yeah). isee_downer (i see). advice_back (what advice would you give to yourself ten or twenty years ago). <laughter>. so i heard this piece of advice the other day and or uh or this. thing and that i thought was really profound and i wish that i had. read it back then. which is. um when you think about buying something instead of thinking. uh oh. here's this beautiful coat it's a hundred dollars i want it i'm gonna buy it. it uh don't think of it as costing a hundred dollars think of it as costing ten times that. because that's effectively what your money could do if you didn't spend it on that coat but instead invested it. you know. intelligently um you would have ten times that much money eventually so. you should really think about it in those terms and um i think i've been much more a consumer than a saver and so i wish that i had uh. been more aware of that ten or twenty years ago. hmmB (hmm). Ellie17Dec2012_08 (what are you most proud of in your life). <sigh> probably. scrubbed_entry. um they asked me to be his um godparent and his guardian if anything should happen to them. and that meant a lot to me because it it made me feel like they trusted me and thought that i was a good person the kinda person that could take care of their child should something happen to them. so. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). <sigh> let's see. well uh in <i> it wasn't really recently but in february i went i like to travel and a friend uh and i went to singapore. uh and i got to fly first class. um we used miles uh frequent flyer miles to get the um. tickets and so uh that was really enjoyable because. um the seats pull down you get to sleep the food is delicious you get special attention and um i also hadn't been to singapore before so that was kind of cool too. nice (nice). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). sure. thank you. bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/477/477_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/477/477_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/477/477_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing fine. thats_good (that's good). where_originally (where are you from originally). i was born in texas and i moved to california when i was three and grew up here in california yeah. really (really). very_young (you were very young weren't you). i was yes. often_backB (how often do you go back to your hometown). uh i've never been back there. why2 (why). um. don't have any relatives there. don't have a reason to go back there. okay_confirm (okay). like_about_LA (what are some things you really like about l_a). um. <makes sound with mouth>. <laughter> well my my family's here. mhm (mhm). that's one uh the weather's great. uh the beaches and mountains are here. all those things are very good. yeah3 (yeah). dont_like_LA (what are some things you don't really like about l_a). uh the traffic. which is probably <probab> probably most people say. um. it's expensive to live here. those are probably the top two. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). uh recently i've traveled. travel_changed (what do you enjoy about traveling). um. well you get to see new places and and new people. you get to learn more about other cultures. and uh different ways people think. travel_trips (i'd love to hear about one of your trips). oh uh at the end of march i went to ecuador for a week. nice (nice). memorableB (what's one of your most memorable experiences). uh. um i spent most of most of one day with. with an ecuadorian who only speaks spanish and i speak very little spanish so we got. um it was it was challenging for me trying to communicate with him i felt like a a little kid. yeah3 (yeah). trying to. you know say you know what's this what's this. uh it was very humbling. um. you know just just seeing that. you know when you don't when you're not able to communicate then that that can be very difficult. mhm (mhm). shyoutgoing (do you consider yourself more shy or outgoing). i'm probably more of a shy person. why2 (why). genetics i don't know why. study (what did you study at school). um i'm an electrician so i studied electrical construction. i've also studied uh computer networking. cool3 (cool). hard_decision (how did you decide to do that). um. it was. i guess. just uh kinda circumstances. i needed. the. the the work i was doing wasn't providing for the family. and. i knew someone who could get me a job doing electrical work and so so i pursued that because of the the financial gain. happy_didthat (are you happy you did that). mm. uh it's given me a lot of opportunity. but uh i don't think it's what i what i wanna do for the rest of my life. dream_job (what's your dream job). well i'm actually uh pursuing becoming a missionary. uh my wife and i are looking at moving down to ecuador in the fall. uh for four years. and last year we we trained in north carolina. for one year. um and that was like theology and bible training. change_directions (what made you decide to do that). um. basically god put. a um. a desire in my heart to get beyond. get beyond myself and and do something for other people. to to go and. and learn about another people their culture. and to share the gospel with them. thats_great (that's great). family_relationship (tell me about your relationship with your family). well in my immediate family. um. i'm i'm married i've been married for ten years this june and we have four daughters. and then um. but i i have one older brother. uh no sisters. um. so what what do you wanna know about my family. family_roleB (how close are you to your family). um. i'm really close with my wife and my daughters. uh with my brother i'm not not real close partly because he's uh he's mentally handicapped. um he has the mental capacity of a seven year old. even though he's he's five years older than me. so just kinda because of that dynamic it it's hard to have a a close relationship with him. but i am pretty close with my parents my brother lives with my parents. isee_downer (i see). influence_positive (who's someone that's been a positive influence in your life). um. i'd say my. my youth pastor in high school. he was a real real positive influence in me. tell_about_that (can you tell me about that). um. just he has a. he has a drive and a zeal for. for pursuing the truth. um. and just uh. studying the bible and. and because of his influence that kinda. put me on a path to wanting to study the bible. okay_confirm (okay). control_temper (how are you at controlling your temper). um i think i've gotten better at it. there have been. times when. you know i'll i'll get angry. and uh. you know it can just. kinda really rule over me just the frustration. and i'm the type of person that it takes me. um usually it it takes some time for me to get angry and and some time to. to calm down again. but i've. i've learned um. over time that really getting angry. um and keeping that anger in doesn't. it doesn't. attack the other person or the thing that i'm angry at it just kinda attacks me. and so really it it's not a it's not a good behavior to. right2 (right). to keep so. when <whe> when things anger me i try to. uh. like talk to the other person say you know this <th> this situation is making me upset i try to kinda talk through it. and and resolve it and come to a resolution. um even more than just compromising but trying to really resolve the root the problem. last_argument (when was the last time you argued with someone and what was it about). um <sigh>. well a. a couple weeks ago or maybe it was maybe even a month ago. um. my wife and i were going on a trip with with her parents. and her parents had already left. um eh we were just driving down to. orange country area for this trip. and. my wife wanted um wanted she had she had expectation of certain things to be done before the trip or certain things be packed. and. but hadn't really. in <i> in my eyes hadn't expressed that clearly but in her eyes she had. and so. when i was trying to meet those expectations. she. um. you know i i didn't meet 'em according to to what she wanted and and and she became angry and so from my perspective i was doing what she wanted. um and kinda getting attacked for it. so. so then i i i started yelling at her. and. yeah2 (yeah). and we you know we had that conflict but then. you know with <wi> within an hour or so we had kinda talked through. and we we had figured out what the the cause of that conflict was. describe_felt (how did you feel in that moment). um. are you asking the moment of during the conflict. yeah3 (yeah). uh. very you know just mm very angry you know you can feel it. in your body. um. part partly i. the i guess the. anger was probably the secondary response but my initial response was that um i felt <f> was feeling attacked and that came out as anger. mm (mm). so. i would think um. yeah so initially i felt attacked and then that resulted in the anger. downer (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). mm hmm hmm hmm. i guess it was um. deciding to go. um to go to our training last year. um i i felt that god had put on my heart that. that this was something i was supposed to pursue. um my wife didn't feel that way. and. i. i i just felt very strongly that that was something that we should pursue. and. but at the same time i knew that if if my wife wasn't supportive of it that it it would it would kinda fall apart. so. i kinda relinquished <r> relinquished it. um and i and i said to her you know i'm not gonna make you go um. you know if if you wanna go then <th> then we'll go but if not then we'll we'll do something else we'll we'll look at at doing something else and not going. uh and so that that was difficult for me 'cause uh. you know again that that that kinda felt like a loss 'cause i felt deeply that that's what i was supposed to do. um. but then after i kinda gave that up. then. um. then she came to a point where she said no i have a peace about about doing this and then we went ahead and pursued it so. um so just kinda giving it up was <wa> was <wa> was difficult for me. yeah_downer (yeah). memory_erase (tell me about an event or something that you wish you could erase from your memory). tell you about something bad or something that i can erase from my memory. mhm (mhm). um. oh let me see. i'm not sure um. i don't know i i can't really. think of anything very traumatic. um that i would wanna erase but i i think. you know good things and positive <posi> eh good things and bad things they all kinda. shape who we are. and. so i i i can't think of anything that i would want to erase. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). um usually. usually it's not too bad. um. are are you referring to on the the questionnaire where i said that i had trouble <trou> some trouble sleeping. yeah3 (yeah). um. the the job i work the. the um. kinda the the scheduling has shifted so i. so lately i've been working some nighttime shifts. or graveyard shifts. so. um. coming home in the morning. you know when it's light then it's been hard for me to sleep. but it was it was mostly 'cause i was staying up so late because of work. understand (i understand). easy_sleep (how easy is it for you to get a good night's sleep). uh it pretty easy. sleep_affects (what are you like when you don't sleep well). um. when i when i don't sleep then i do get cranky. feel_lately (how have you been feeling lately). uh. i i've been feeling good lately. thats_good (that's good). behavior_changes (have you noticed any changes in your behavior or thoughts lately). no not really. okay_confirm (okay). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). um. hmm. i don't know um. can't think of anything that was. kinda out of the ordinary. but. um. yesterday. we my wife and i took. took our three <th> our our three younger girls we took them to the park the oldest one. um stayed with her grandma. but we uh we took 'em to the park and they played. and. yeah so those <th> those are always happy times when we take the kids to the park. good_hear (that's so good to hear). BF_describe (how would your best friend describe you). um. i i think he'd say i'm a. a family man. that um. i'm uh dependable that he can he can count on me. um usually my my friend i end up doing. um. different work around the house for him. 'cause i'm kind of a handyman so. so in that way i i i think he'd say i'm kinda dependable or someone he could go to for advice. mhm (mhm). self_change (what are some things you wish you could change about yourself). um. i guess i would um. i guess i would like to be able to. um. start conversations with people. easier. uh sometimes. i have i have trouble. just talking to people. especially if they're in a group if <i> if people are one on one then it's it's usually easier for me to talk to them. but kinda talking to people in a group. uh i wish i was a little better at that. uh_huh (uh huh). now if it's. advice_back (what advice would you give to yourself ten or twenty years ago). okay. what what i was gonna say right before that was that um. uh if if i'm giving a speech or something to a large group i don't really have a problem with that but if it's more interaction type thing then that's kinda difficult. uh. advice i would've given to myself ten or twenty years ago. um. probably would've been to to go to college right away instead of going to school later in life. um. that's about it. okay_confirm (okay). think that would made that would've made the biggest difference. in my life i think. Ellie17Dec2012_08 (what are you most proud of in your life). um. well i have i have four kids and. i hope i'm raising 'em right i hope that. that um. you know the mistakes that i've made i can kinda guide them. through their their journey in life and i hope that they. end up a little. better for it than. than me. um. yeah i just hope. hope kinda through them. that i can. you know. leave <lea> leave something worthwhile. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). you're welcome. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/482/482_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/482/482_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/482/482_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). sure. okay_confirm (okay). how_doingV (so how are you doing today). <laughter>. mm. good i guess. where_originally (where are you from originally). new orleans louisiana. really (really). when_LA (when did you move to l_a). uh two thousand five. often_backB (how often do you go back to your hometown). i used to go back often but not much anymore. why2 (why). uh just things happened. okay_confirm (okay). why_LA (why did you move to l_a). uh <laughter>. uh well. guess you're not programmed with this knowledge but uh katrina happened in two thousand five. Ellie17Dec2012_06 (wow). adapted_LA (how easy was it for you to get used to living in l_a). not really. tell_about_that (can you tell me about that). um. hmm where to begin. uh just l_a's different culturally. i have a different culture out here. it's just a different place. mhm (mhm). like_about_LA (what are some things you really like about l_a). um it's it's bike friendly. louisiana isn't. new orleans for that matter really isn't. now they're trying to be but it just it isn't that successful. dont_like_LA (what are some things you don't really like about l_a). <sigh> the drivers they're crazy. wild_laughter3 ((laughter)). see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). mm not really kind of but not much anymore. why2 (why). don't have the money kinda broke <laughter>. understand (i understand). travel_changed (what do you enjoy about traveling). just being able to go on an adventure. travel_trips (i'd love to hear about one of your trips). um. let's see i once went to comic con on a on a bicycle like on a a three wheel bike. um and that that was pretty fun. kinda scary and dangerous. nearly got killed <laughter> it was scary <laughter>. memorableB (what's one of your most memorable experiences). traveling or just in general. mind (whatever comes to your mind). hmm. um. i gotta say. i gotta say we were. we were heading out of um. we were. heading off the p_c_h and going into um. laguna. and laguna has this really steep hill and on sundays it's full of traffic. and i i remember going down. the the hill and my brakes weren't working and i was trying to hit my brakes and trying to hit my brakes and they just they wouldn't click. and i was like oh god. and i'm i'm on a three wheel bike so i'm larger than most bikes and i'm like zipping in between like gridlock traffic. going down a hill. unable to brake. and i'm going down. and suddenly. there's this car that veers right into mm essentially where i'm trying to go so i. turn. sharply. in front of between this bus and this truck and literally end up going sideways through traffic through oncoming traffic. and then <laughter> looping back through oncoming traffic back into the right traffic still without any brakes. and like not managing to keep my bike from. wild_laughter3 ((laughter)). rolling which is painful when your bike roles kinda hurts a lot. oh_my_gosh (oh my gosh). so yeah. yeah that's it. okay_confirm (okay). <laughter>. study (what did you study at school). um. various different things uh anthropology visual effects. kinda weird but yeah. sounds_interesting (that sounds interesting). hard_decision (how did you decide to do that). um. i just i've always had a fascination with film. and. i i think the way people do things and go about things is fascinating. just as like the the mob mentality of people. yeah3 (yeah). especially. dream_job (what's your dream job). ooh dream job. um. huh. i have no idea. just a job i guess. okay_confirm (okay). shyoutgoing (do you consider yourself more shy or outgoing). i consider myself more outgoing. why2 (why). um. you know i i've never been afraid of what people think of me. like people xxx i i i like people i don't know. mhm (mhm). i'm not. i'm not afraid of what they think. eh i'm more concerned with like the people i know and what they think of me. i guess so being outgoing just doesn't really. affect me. see_mean (i see what you mean). eh. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). um. <deep breath> <mumbling> <sigh> uh i play video games listen to music. um. yeah read books i like reading books and drawing. reading books drawing playing video games. did i think of anything did i forget anything sleeping. uh_huh (uh huh). i like sleeping it's fun. control_temper (how are you at controlling your temper). uh <mumbling> not good. landed_trouble (has that gotten you in trouble). <laughter> frequently <laughter>. tell_about_that (can you tell me about that). um. <sigh>. uh. in high school i i shoved somebody's head through a locker. um. yeah. yeah that that's not good don't ever shove someone's head into a locker. that's a great way to get suspended. um. i don't know. yeah things like that just. getting into fights. last_argument (when was the last time you argued with someone and what was it about). <sigh>. um. like a serious argument. mind (whatever comes to your mind). um <sigh>. uh. i guess like. xxx. argument over. over. um. uh i guess over like uh like viewpoints on like gun control. and gun control laws. i mean. uh_huh (uh huh). it was like. yesterday evening. describe_felt (how did you feel in that moment). eh it was. it it was an argument about you know gun control regulation i mean it doesn't really affect me personally. but that was like the last argument i got into. that that's kinda what you specified i think. okay_confirm (okay). situation_handled (tell me about a situation that you wish you had handled differently). ooh. um. uh my entire life um. <laughter> uh <mumbling> <sigh>. i have. um. about. two years ago i broke up. with like as everyone calls her my evil ex. and um. yeah it was just it was bad the whole the whole thing went down bad i mean. uh. eh. <sigh> uh i think i've calmed down a lot since then. like just as a person as a whole. but i mean i was angry and stuff i think i like went riding my bike for like. a hundreds plus miles in a singular day. hmm_downer (hmm). and i was in a ton of pain. like. later in the evening i got home i was like oh god. like i could barely walk um. and yeah i i think running off and. like going on a like extreme cycling spree was not good but it was better than like. eating too much and like. just. overeating 'cause i was depressed. but yeah like we we fought and screamed and it was it was not good like i we didn't physically fight it was more like a screaming match of death. yeah_downer (yeah). hard_decisionB (tell me about the hardest decision you've ever had to make). <deep breath> <sigh> hmm. um. i don't think i've had a singular hard decision. i've had ever had to make. because. my my biggest thing. in life. is don't you know don't regret. don't regret. the the the things you do. just regret the opportunites you've missed and that's like had to come with me. that's like had to i've had to like learn that in the past like two years. like two years ago i totally just could not grasp that concept. mm (mm). and to answer your question. i think thinking about it. the hardest decision i've had to make. is. i'd say. probably. probably to break up with my ex probably. change_directions (what made you decide to do that). um. xxx <sigh> ooh. um <sigh> where do i begin. <sigh>. um. my ex was not a good person just in any way shape or form of the word. um she did some things that i wasn't entirely comfortable with. um just to the the people around her and to me. and. i. <deep breath>. <laughter> you know. they say you're supposed to give forgive people. for making mistakes or doing things. and i just i think there are some things you can't forgive people for. no matter how hard you try. and i think there are some things that once done. that that can't be. undone they just they're they're the way that they are. and i think. i think after what she did. i i like i just xxx. eh. things just fell apart after that it just it it we. mm despite us trying. it just it didn't work out. i mean. i i i don't know i don't really wanna talk about exactly what happened. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). oh geez. oh man. erase from my memory or just erase from ever happening. um. huh i don't <sigh> you know that's hard. um. katrina. just the experience of katrina for starters. um <laughter> my <m> my ex. i i guess between those two it's it's kinda hard i'd i'd actually rather lean towards uh katrina. 'cause that was just that that was not. i mean i i guess you don't exactly know about it but um. in two thousand five um. uh this giant storm hit. uh. new orleans louisiana um killed a whole bunch of people. leveled the town. um. and um. i i lost a lot of friends during the storm. um. i mean i'm kind of i'm getting over it. but. it's still. it's it's still there. and i think. uh i i don't know i mean. you can try and look at you can try your best to try and find something positive. in that but there's just there's nothing the only. thing you can do. is <i> is. just think that that was like a freak accident and it'll never happen again. though <laughter> i live in l_a and you know. <laughter> earthquakes. <laughter> they could happen <laughter> and i just think oh i'd rather. rather know that it's coming than not know it's coming. yeah_downer (yeah). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). yes. depression_diagnosed (have you been diagnosed with depression). <laughter> yeah. when_diagnosed (how long ago were you diagnosed). <sigh> um. mm depression it's reoccurred multiple times. that's no surprise. um first time i was diagnosed was in middle school. um which would've been. <sigh> ten well twelve <twel> ten between ten twelve years ago. i don't know xxx. i don't know whenever i was in the sixth grade that's. it's when i first was told that i was depressed. mhm (mhm). um. as far as p_t_s_d goes. um post katrina. um. and then. you know. uh just. post katrina mostly <laughter> that was the big thing. why_seek_help (what got you to seek help). um. i guess having been diagnosed previously as being depressed and still being in high school. it kinda wasn't i wasn't really seeking help it's kind of i got i kinda got into my high school. and they were like here's help 'cause we know you're gonna need it. um and i was like oh well thanks i didn't really ask for it but okay i'll take it. um. you know. just kinda happened. therapy_going (do you still go to therapy now). no not not anymore. stop_going (why did you stop). um. eh. <sigh>. <laughter> that's a good question um <laughter>. uh geez uh you know i really don't know. i guess it just kinda stopped just kinda was like well i'm not gonna do this anymore. therapy_useful (do you feel like therapy is useful). uh sometimes. sometimes it's a lot of like how are you feeling today. and stuff and. you know. it's kind of well i'm feeling fine right now but. ask me in two hours and who knows. you know. right2 (right). therapist_affect (how has seeing a therapist affected you). um. <sigh>. i guess. it it's helped me understand that some of the things that just happen just happen. and to just get on and move along with your life. um. mm essentially just. mm like carry on you know. things will happen carry on. yeah_downer (yeah). happy_lasttime (tell me about the last time you felt really happy). <sigh>. um. wow <laughter> um. uh i was um. i was hanging out with my girlfriend just. hanging out. good_hear (that's so good to hear). self_change (what are some things you wish you could change about yourself). um. well for starters i mean. you <y> you can't. see when i walked in but i'm walking with a cane right now 'cause i i got hit by a car recently. and uh i'd i'd make my leg better. um. let's see cane's over there. that way but anyway um <sigh>. i don't know. uh make myself less fat. <laughter>. um. i'd make it so i don't feel the incessant need to sleep fourteen hours a day. um 'cause when you sleep like more than ten hours a day it's just it's unproductive you waste too much time. like i have friends who are like oh you know i feel rejuvenated after six hours and i'm like how do you do that. i have to sleep like twelve hours to feel good. like you can sleep six. you know. like in in in crunch time you know you can get away with four i have to get away with. seven. or eight. you know. yeah3 (yeah). like. that that's my crunch time sleep schedule eight hours. it's just. i don't know i oversleep but i like sleeping too. see_mean (i see what you mean). i mean. yeah it's just the oversleeping part i don't like so much. okay_confirm (okay). BF_describe (how would your best friend describe you). um. <sigh>. um. utterly insane in a good way. utterly insane in a good way. wild_laughter3 ((laughter)). um. uh i guess. like they they would also. say like you know. there <the> there are times where i might seem like an asshole and i'm i'm not really an asshole i just. you know. i i just have issues like everybody else. um specifically i have. uh asperger's so that's a form of autism. um that just kinda makes life awesome. they'd also say i'm flamboyant and eccentric. 'cause i totally am. i just. i i don't know. i figure i'm still alive so i should live because i'm still alive. and you know. who knows how long i'm gonna be alive for. so i should you know. live while i'm alive and just. go out and do stuff and not. not sit and be calm. yeah3 (yeah). except when i'm reading. and i like reading. okay_confirm (okay). advice_back (what advice would you give to yourself ten or twenty years ago). <sigh>. um. uh stop fucking up um no uh that's kinda messed up. um. i think. i would've told myself at the time. um. 'cause <ca> 'cause i i i've known. my my evil ex. um i've known her since like i was like six and she was five. i think ten years ago i would've grabbed myself by the shoulders and say you see that girl whatever you do do not date that girl. don't trust her she can't be trusted. um and more importantly. don't. <deep breath> don't let your guard down around her 'cause she'll she'll exploit that. mm (mm). and i mean like physically let your guard down not mentally. um. yeah don't don't date her just don't do it it's not worth it <laughter> it's not worth the trouble it's not worth the pain. it's not worth it. okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). <sigh> um the fact that i'm still alive. maybe. yeah. uh i don't know cycling to comic con i was pretty proud of that pretty proud that i managed to do it. um. just. i don't you know i don't really know i don't really use the term pride. i don't really feel pride. i'm just it's it's more of like the fact that i'm still alive i'm proud to be alive <laughter>. yeah3 (yeah). i don't know if that makes me humble or just insane. who knows. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). do i press the button now. oh bye. yeah3 (yeah). okay.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/483/483_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/483/483_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/483/483_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "true"}
{"problem": "<audio>\n<synch>. <laughter>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing well. thats_good (that's good). where_originally (where are you from originally). i was born in oakland. really (really). like_about_LA (what are some things you really like about l_a). um <sigh> all the different areas of the city. uh the different cultures that are here. mhm (mhm). dont_like_LA (what are some things you don't really like about l_a). the traffic the. um lack of public transportation. and the superficiality. see_mean (i see what you mean). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). <laughter>. i i don't i would love to travel more. travel_changed (what do you enjoy about traveling). um <sigh>. being able to experience a different way of living. um getting outside the bubble that you normally live in and. getting a different perspective. uh_huh (uh huh). travel_trips (i'd love to hear about one of your trips). um in two thousand eight i studied abroad in brazil and that was about four months. and i was in bahia which is in the north and um. let's see the program consisted of learning the history learning the language and staying with a homestay family. nice (nice). change_directions (what made you decide to do that). um i've always wanted to travel and i chose brazil because um. they have an afro-brazilian population or a large afro-brazilian population which i really wanted to learn more about and i think the history and the cullture is really interesting. mhm (mhm). memorableB (what's one of your most memorable experiences). um. i think taking a bus by myself to. a remote beach and just navigating on my own and um figuring out where to go. yeah. thats_great (that's great). study (what did you study at school). right now i'm getting my master's in social work. dream_job (what's your dream job). <laughter>. dream job <sigh> i think to um consult about um mental health and. how to um. how to intervene effectively with different cultures. and doing research and consulting work and getting to travel. um. basically that those would be the main characteristics. okay_confirm (okay). shyoutgoing (do you consider yourself more shy or outgoing). i think that's a false dichotomy. but i do consider myself shy but at the same time outgoing in the sense that i push myself to do things outside of my comfort zone. and i'm determined to do what it takes to become successful. makes_sense (that makes sense). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). <laughter>. um i listen to music. and just lay on my bed and. um. i guess you could say do mindfulness and really just take my mind off of things. mhm (mhm). also breathing exercises which i'm learning more about um as well as exercise. cool3 (cool). control_temper (how are you at controlling your temper). pretty good i don't get angry a lot. um. so as far as angry temperament i'm pretty good at that. thats_good (that's good). last_argument (when was the last time you argued with someone and what was it about). hmm. um. mm what month is this may. probably two months ago. and i argued. via text message <laughter> so it's not really intense arguing but. i guess you could call it arguing in a sense over whether or not i should be forgiven for something that i thought was minor. um. with a friend i've had for a few years. hmm_downer (hmm). describe_felt (how did you feel in that moment). i felt anxious. um. sad and angry. um. yeah those are the main emotions. downer (okay). how_know (how do you know them). i know them because i think i'm pretty in touch with my emotions and being able to identify them. and then i'll notice the physical. uh manifestations of emotions like if i if my heart's racing or if i'm getting sweaty. if i'm <sigh> if my breathing is more shallow i'll know i'm anxious i'll know something's bothering me. mhm (mhm). situation_handled (tell me about a situation that you wish you had handled differently). hmm <laughter>. that i wish i had handled differently. i guess related to this argument um. i went out one night and got. a little too intoxicated and <clears throat> ended up. calling a person for a ride. home but that. really upset that person. and i know that. it wasn't such a big deal but i wish i hadn't have let myself get to that point um. it it impacted a relationship and i also felt really bad about what i did. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). mm. <clears throat>. hardest decision <sigh>. wow um. probably deciding what type of graduate program to go into i briefly went to law school and decided not to do that so afterwards. well after dropping out i had to really. rethink what it is that i wanted to do and what i wanted to. dedicate my life to go into debt for spend a lot of energy on. yeah_downer (yeah). hard_decision (how did you decide to do that). um <sigh>. i think by recognizing what i don't want to do. and doing a lot of research on. program requirements and the jobs that you can get after completing a program. makes_sense (that makes sense). memory_erase (tell me about an event or something that you wish you could erase from your memory). <sigh> mm <sigh> i have to think <sigh>. oh <laughter>. um. revolving around the same person i spoke of earlier. it was a dating relationship and. a few years ago we had a falling out. over his treatment of me. and it involved. another person and i wish i could. get that out of my mind. sorry_hear (i'm sorry to hear that). family_relationship (tell me about your relationship with your family). um <laughter>. <laughter>. i have a pretty good relationship with my mom she lives in the bay area i didn't grow up with her but i've gotten. um closer to her as an adult. uh we talk pretty regularly. with my dad i grew up with him. mostly he lives in atlanta and. um we don't talk as much but. we are. we have a pretty decent relationship it's not really that. contentious or anything. and i'm an only child so i don't have siblings i don't have a large family. uh_huh (uh huh). um so. in general i'm not really that close to family. influence_positive (who's someone that's been a positive influence in your life). um. one person is my mentor who i met in two thousand five. and she's a judge and i met her when i was in community college and she really. opened my eyes to possibilities and made me feel that i would be able to achieve certain things. thats_great (that's great). easy_sleep (how easy is it for you to get a good night's sleep). <sigh> pretty easy well it's easy for me to sleep what's not easy is getting up. why2 (why). because usually i do not forward <f> look forward to what i have to do that day. and the thought of it is. you know just makes me wanna stay in bed also i wake up pretty tired. not really feeling refreshed. understand (i understand). <clears throat>. symptoms_cope (how do you cope with them). i think just <sigh>. self-talk about how what i have to do. isn't that bad or that the things that i'm doing now are gonna end pretty soon with the end of the school year. um. trying to think of things that. i can look forward to in the week um also listening to music. and browsing the internet kinda gets my mind going. mhm (mhm). feel_lately (how have you been feeling lately). <sigh> feeling <sigh>. uh wow um. feeling. emotionally drained on some ways and. at the same time feeling like i've accomplished a lot and that i've grown. so a mix of ambivalence and feeling drained and a mixture of. feeling accomplished and proud at the same time. uh_huh (uh huh). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no i haven't. depression_diagnosed (have you been diagnosed with depression). yes. when_diagnosed (how long ago were you diagnosed). in two thousand six. why_seek_help (what got you to seek help). the convergence of a lot of stressful factors um. i was out of touch with my mom i started um well i had transferred to a university that was pretty rigorous. and just all those changes going on. really um. exacerbated. things that were already there depressive tendencies that were already there. and it got to a point where i just felt really overwhelmed. yeah_downer (yeah). therapy_going (do you still go to therapy now). yes i do. therapy_useful (do you feel like therapy is useful). yes. therapy_changes (what sort of changes have you noticed since you've been going to therapy). i notice. i'm better able to. accept my emotions and not judge them and also identify them. i'm <sigh>. able to think <th>. think differently about things that happened maybe look at things in a more positive light. and also identify. the areas i need to work on and the underlying issues in those areas. <clears throat>. thats_good (that's good). happy_lasttime (tell me about the last time you felt really happy). mm <sigh>. um this past weekend. i reconnected with some old friends and it was really good to see them and be back in touch again. awesome (awesome). BF_describe (how would your best friend describe you). <laughter> um <sigh>. people have different takes on on me i don't have one best friend but i think people would describe me as very. um analytical. sensitive intelligent. intellectual. uh_huh (uh huh). self_change (what are some things you wish you could change about yourself). um. i wish that i did not. or wait. i wish. i was better able to cope with my anxiety and depression which i'm working on. and <sigh> i wish that i had more energy. okay_confirm (okay). advice_back (what advice would you give to yourself ten or twenty years ago). <laughter>. start going to therapy now <laughter> um. but yeah i really would and. also. to. what how old am i twenty eight. ten years ago eighteen okay so graduating from high school. i would <sigh> tell myself to pick up some more job skills so that i wouldn't have to struggle as much in the future. and to seek out mentors to get a clearer um idea of what i wanted to do as a career. okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). um. i think the fact that i'm in grad school. and. coming from the background that i that i come from. low socio-economic status and. just pushing through. challenges to get here. good_hear (that's so good to hear). <laughter>. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). you're welcome. bye (goodbye). bye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/484/484_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/484/484_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/484/484_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing well. thank you. thats_good (that's good). where_originally (where are you from originally). san luis obispo. really (really). when_LA (when did you move to l_a). yes. four years ago. often_backB (how often do you go back to your hometown). about once a month. compares_LA (how does it compare to l_a). small quiet. fresh air. less people. it's nice. why_LA (why did you move to l_a). i went to school in los angeles. cool3 (cool). <laughter>. study (what did you study at school). i studied music industry. still_working_on_X (are you still working in that). yes i work in the music industry. awesome (awesome). hard_decision (how did you decide to do that). it is a passion of mine and i. got into school and went with it. difficult (how hard is that). how hard is what. dream_job (what's your dream job). <laughter>. i don't really have a dream job i don't know if that exists. okay_confirm (okay). actually it's probably changing all the time. see_mean (i see what you mean). <laughter>. shyoutgoing (do you consider yourself more shy or outgoing). depends on the situation. sometimes i'm shy and sometimes i'm outgoing. travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). well i can't see your shoes but i like to travel yes. travel_changed (what do you enjoy about traveling). meeting new people seeing new things. exploring the landscape. travel_trips (i'd love to hear about one of your trips). uh i went to alaska. on a fishing trip. nice (nice). memorableB (what's one of your most memorable experiences). on that trip. mhm (mhm). um catching an octopus. tell_about_that (can you tell me about that). i was deep sea fishing and for halibut. and rather than catching a halibut. i lured in a octopus. wow (wow). relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). very <laughter>. <laughter>. i play golf i swim. i read. uh_huh (uh huh). control_temper (how are you at controlling your temper). i'm pretty calm. last_argument (when was the last time you argued with someone and what was it about). um probably couple days ago but it was. and it was about. a musical project that i was involved in. describe_felt (how did you feel in that moment). i felt heated. okay_confirm (okay). feelguilty (what's something you feel guilty about). <laughter>. i'm not quite sure. situation_handled (tell me about a situation that you wish you had handled differently). i'm not quite sure. hmm_downer (hmm). hard_decisionB (tell me about the hardest decision you've ever had to make). i'd have to think about that for a while. mind (whatever comes to your mind). i'm not really sure. okay_confirm (okay). memory_erase (tell me about an event or something that you wish you could erase from your memory). um. i had a bad performance one time. and i wish people who i knew didn't see it. why2 (why). because we weren't well rehearsed and. i was embarrassed afterwards. see_mean (i see what you mean). family_relationship (tell me about your relationship with your family). i have a brother and parents who are divorced. family_roleB (how close are you to your family). i'm pretty close i see them. regularly. talk openly about. most subjects. thats_great (that's great). influence_positive (who's someone that's been a positive influence in your life). my brother. more (tell me more about that). what do you wanna know. mind (whatever comes to your mind). about my brother. uh_huh (uh huh). i'm not really sure. okay_confirm (okay). easy_sleep (how easy is it for you to get a good night's sleep). most of the time it's pretty easy. sleep_affects (what are you like when you don't sleep well). um. i drink more coffee to compensate. feel_lately (how have you been feeling lately). fine. behavior_changes (have you noticed any changes in your behavior or thoughts lately). no. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). what does p_t_s_d stand for. depression_diagnosed (have you been diagnosed with depression). no i haven't. happy_lasttime (tell me about the last time you felt really happy). um i'm happy all the time. <laughter>. thats_good (that's good). BF_describe (how would your best friend describe you). um ambitious a go-getter. mhm (mhm). feisty. self_change (what are some things you wish you could change about yourself). i'm not quite sure. feelbadly (tell me about a time when someone made you feel really badly about yourself). i can't recall right now. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). uh i went to a concert. saw live music. drank good beer. nice (nice). yeah. <laughter>. Ellie17Dec2012_07 (what would you say are some of your best qualities). i'm a good listener. i'm passionate. and. i'm alert. okay_confirm (okay). regret (is there anything you regret). ever. in regards to what. uh_huh (uh huh). no i don't i don't i normally don't regret things. why2 (why). because there's too much else to live for to think about the past. see_mean (i see what you mean). do you. <laughter>. yeah3 (yeah). okay. advice_back (what advice would you give to yourself ten or twenty years ago). <deep breath>. what was that question. advice_back (what advice would you give to yourself ten or twenty years ago). to read more and watch t_v. watch the computer screen less. why2 (why). because that makes you. have attention deficit disorder. and you focus less on things that are in front of you in real life. makes_sense (that makes sense). i know. ideal_weekendC (tell me how you spend your ideal weekend). <laughter>. i exercise i sleep in late. i. go. golfing from time to time. i go to concerts i go to bars hang out with friends at the beach it depends. okay_confirm (okay). Ellie17Dec2012_08 (what are you most proud of in your life). what am i most proud of. um. i'm healthy and i understand. the world around me and i'm. passionate about. things that i'm doing and i have goals that i've set that i'm working towards. mhm (mhm). yeah. <laughter>. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). what was your name. name_ellie (i'm ellie). that's right. bye (goodbye). goodbye.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/489/489_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/489/489_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/489/489_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yeah. okay_confirm (okay). how_doingV (so how are you doing today). i'm doing already how are you doing. thats_good (that's good). where_originally (where are you from originally). northern illinois. really (really). when_LA (when did you move to l_a). two and a half years ago. often_backB (how often do you go back to your hometown). haven't yet. since i been here. why2 (why). haven't had a chance to gonna go back later this year. cool3 (cool). compares_LA (how does it compare to l_a). colder. or warmer. see_mean (i see what you mean). why_LA (why did you move to l_a). work. happy_didthat (are you happy you did that). yeah. adapted_LA (how easy was it for you to get used to living in l_a). mm took a little while but i got used to it. tell_about_that (can you tell me about that). no weather xxx variations comparative um. traffic. sunlight. mm (mm). travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). a little bit. travel_changed (what do you enjoy about traveling). seeing different things. travel_trips (i'd love to hear about one of your trips). been to europe a couple of times. been around the country. nice (nice). memorableB (what's one of your most memorable experiences). <sigh> hmm. visiting yosemite and sequoia parks were fun. cool3 (cool). shyoutgoing (do you consider yourself more shy or outgoing). depends on the circumstance most of the time i can fake outgoing or try to be outgoing. mhm (mhm). what_do_when_annoyed (what do you do when you are annoyed). try to relax and breathe through it and move on. control_temper (how are you at controlling your temper). depends on the context. last_argument (when was the last time you argued with someone and what was it about). probably yesterday and my children about them not doing what they were told to do. situation_handled (tell me about a situation that you wish you had handled differently). arguments with my wife where i should've probably been more patient and understanding. give_example (can you give me an example of that). hmm. um. sometimes when it's more of a hormonal period like this week i should just probably breathe through things and. recognize that she's going through things and i should just be more patient. okay_confirm (okay). hard_decisionB (tell me about the hardest decision you've ever had to make). um. what i was gonna do with my life. hard_decision (how did you decide to do that). it was easy when i was nineteen i could just decide to do strange difficult things and. had the boldness to follow through with them. study (what did you study at school). hebrew and semitic studies and classics. sounds_interesting (that sounds interesting). still_working_on_X (are you still working in that). kind of. dream_job (what's your dream job). um i'm i'm in ministry and. that's working out the way i kinda want it to be. thats_good (that's good). memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. some embarrassing things when i was a teenager probably. okay_confirm (okay). family_relationship (tell me about your relationship with your family). it's pretty strong. family_roleB (how close are you to your family). i talk to my parents about once a day maybe. once every other day and. i'm constantly talking with my wife and children. xxx. kids_elaborate (tell me about your kids). i've got four of them they keep me very busy um they're between. nine and three. easy_parent (do you find it easy to be a parent). sometimes most of the time no. parent_hardest (what's the hardest thing about being a parent). character development recognizing that. they need <n> need space to grow. yeah3 (yeah). parent_best (what's the best thing about being a parent). when. when it works and you see character development and growth and. and exploration. parent_differences (what are some ways that you're different as a parent than your parents). i have more standards willingness to enforce standards. influence_positive (who's someone that's been a positive influence in your life). mm <sigh> mm. my wife. tell_about_that (can you tell me about that). um. she's been there for me for fifteen years now and. helped give me the self-confidence to be who i am. good_hear (that's so good to hear). easy_sleep (how easy is it for you to get a good night's sleep). better now that i'm not drinking as much pop at night. sleep_affects (what are you like when you don't sleep well). irritable. shorter temper. mhm (mhm). feel_lately (how have you been feeling lately). mm. pretty good pretty good i'm doing. been making some better uh decisions with my uh diet it's doing better. thats_great (that's great). behavior_changes (have you noticed any changes in your behavior or thoughts lately). <sigh>. mm. feel a little bit more empowered not as defeatist as i was in a process where i wasn't eating very well wasn't exercising. wasn't able to get doing those things i've been doing a little better at that recently past few weeks and that's been a little bit more encouraging. uh_huh (uh huh). ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). nope. happy_lasttime (tell me about the last time you felt really happy). really happy um. probably a few weeks ago at the beach when everybody was having a good time. BF_describe (how would your best friend describe you). hmm. confident. loud. intelligent. okay_confirm (okay). i guess. self_change (what are some things you wish you could change about yourself). hmm more patient. more um. more able to. automatically engage with people as opposed to being hesitant at first. mm (mm). feelbadly (tell me about a time when someone made you feel really badly about yourself). oh. middle school when i was always the. low man on the totem pole socially. <sniffle>. being the constant butt of jokes. advice_back (what advice would you give to yourself ten or twenty years ago). don't fall in the trap of thinking that middle and high school is life. mhm (mhm). ideal_weekendC (tell me how you spend your ideal weekend). <laughter>. um some time you know with children and family doing <d> doing some fun activity beach or museum or something. some time with the wife some time just by myself to read and kinda refocus. okay_confirm (okay). Ellie17Dec2012_10 (tell me about something you did recently that you really enjoyed). hmm. mm participate in some high level academic discussions. cool3 (cool). Ellie17Dec2012_08 (what are you most proud of in your life). hmm. that i've been able to. maintain the standard and quality of life for myself and my family that i've been able to do so far. thats_great (that's great). asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye).\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/490/490_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/490/490_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/490/490_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}
{"problem": "<audio>\n<synch>. IntroV4Confirmation (hi i'm ellie thanks for coming in today i was created to talk to people in a safe and secure environment i'm not a therapist but i'm here to learn about people and would love to learn about you i'll ask a few questions to get us started and please feel free to tell me anything your answers are totally confidential are you ok with this). yes. okay_confirm (okay). how_doingV (so how are you doing today). doing pretty good thank you. thats_good (that's good). where_originally (where are you from originally). maryland. really (really). yes. when_LA (when did you move to l_a). eighty five. yeah. long_time (that's a long time). yeah it is a long time. often_backB (how often do you go back to your hometown). um not as often as i'd like. why2 (why). um out of work so you know the money issue. understand (i understand). yeah. compares_LA (how does it compare to l_a). um. maryland. uh is different. it and so the comparison is. the only comparison is that um they're both cities. but uh. maryland has its flavor and l_a has its own flavor so they have unique you know characteristics about themselves. mhm (mhm). why_LA (why did you move to l_a). i moved to l_a uh because i was living in hawaii. and um i was out of money. and i just had enough for a plane ticket. uh and come and stay um. uh here in a hotel until i found a job which i did really quickly but anyway so that's why i came here i didn't wanna go home. um. i decided to come here and just start over. happy_didthat (are you happy you did that). i am i am. thats_great (that's great). yeah. adapted_LA (how easy was it for you to get used to living in l_a). um. it was. real easy just did it. like_about_LA (what are some things you really like about l_a). i like i like l_a's weather. i like uh the different areas in uh los angeles county. uh west l_a east l_a um. uh i like southern california. you know period so. uh you know i like the people but um. uh_huh (uh huh). yeah so i like the um. the. attitude you know the l_a attitude so yeah. dont_like_LA (what are some things you don't really like about l_a). um. i don't like. um. i don't like some of the uh policies with regard to. um uh the smoking you know i really wish that the. uh. government would crack down on smoking on the streets make it like u_s_c. see_mean (i see what you mean). yeah. travel_shoes (i'm sure you can tell by my shoes i'm not much of a world explorer do you travel a lot). no not outside of uh uh. getting on the bus and things like that. okay_confirm (okay). study (what did you study at school). i was studying to be a nurse. sounds_interesting (that sounds interesting). yeah. hard_decision (how did you decide to do that). i wanted to uh have a job that pays well. but uh afforded me um. the opportunity to use my um service gift. so yeah. uh_huh (uh huh). still_working_on_X (are you still working in that). no i had to put that uh. put that on the side and uh. i want to get a business degree now. yeah. cool3 (cool). <laughter>. dream_job (what's your dream job). my dream job is um. is to. create new technology. tell_about_that (can you tell me about that). mm other than to say i would like to uh create something that. would change the world like steve jobs with his iphone. thats_good (that's good). yeah. shyoutgoing (do you consider yourself more shy or outgoing). i am it depends on the situation but i'm more outgoing. i do. tend towards a little shyness from time to time. relax_fishtank (sometimes when i'm feeling tense i turn on the fish tank screensaver hey i know it's not hawaii but it's the best i've got what do you do to relax). mhm. mm. mm. <laughter>. um what i do is i'll go to the movies. bouts_symptoms (when was the last time that happened). um i went to the movies probably like uh maybe five weeks ago. yeah. okay_confirm (okay). last_argument (when was the last time you argued with someone and what was it about). um. well i had a argument recently not really a argument but a disagreement. with a woman at my church who um. is over. this particular department that i'm in. and it's a volunteer position uh. i use my uh administrative assistant um more executive assistant skills. to uh. to uh. i do minutes for meetings that i cover. and um and so then i have to um produce the minutes and send them to everybody and things like that. and uh this person um. is micromanaging me uh but not micromanaging the other. uh admin assistant who. did not get her block of people into this particular meeting. so the meeting should've been comprised of a hundred people. but we had like maybe thirty no wasn't even thirty twenty. yes <laughter> so um. wow (wow). now she doesn't know that i realize you know that part of it. so um. there was a little bit of a argument and uh but again not a argument but a disagreement. and when we talk again i will. yeah_downer (yeah). point out to um the person that's over both of us that there is a disconnect. and um the the energy she <sh> she's investing. uh in me is uh unprofitable. for what we're trying to achieve. don't that doesn't that sound good <laughter>. see_mean (i see what you mean). yeah. yeah_downer (yeah). describe_felt (how did you feel in that moment). well a little attacked. you know. so. okay_confirm (okay). control_temper (how are you at controlling your temper). it depends on i'm very good at controlling my temper. it's uh you know there are places where you can. allow your temper to come out. even though it might not be appropriate and then there are other places where if it comes out then you shot yourself in the foot. so uh i'm pretty good at controlling my temper. thats_good (that's good). yeah. situation_handled (tell me about a situation that you wish you had handled differently). um. i don't have any situation. recent that i can think of um. probably say. um. just dealing with a neighbor uh instead of uh. uh responding to the neighbor just ignore the neighbor altogether so i wish i had done that differently. mhm (mhm). yeah. hard_decisionB (tell me about the hardest decision you've ever had to make). hmm. thankfully. i've not had to make that type of decision. in my life as yet. okay_confirm (okay). mhm. memory_erase (tell me about an event or something that you wish you could erase from your memory). hmm. um. mm. i have um. what i do in my life and and you know in my. going forward you know um. everything that. i've done and everything that has happened. i. accept it as something that. has to be. to get me to go forward. uh i am a born again christian and so i know that. that god is sovereign over my life. uh and also that according to his word. the bible says that every day of our life is written in his book. so events and circumstances. um. i feel that i feel they are ordained by god now obviously i'm not going to. um jump into a. burning fire or do anything ridiculous. but um. right2 (right). i feel that things that had happened <hap> that have happened even if i've dealt with them the wrong way. uh it's god's. sovereignty <s> his. total sovereignty has control over that and it will work for my good. so that's how i feel. mm (mm). family_relationship (tell me about your relationship with your family). um. i have all brothers. and so i'm not really that close with my brothers. and my mother. influence_positive (who's someone that's been a positive influence in your life). say that again. influence_positive (who's someone that's been a positive influence in your life). um people that i've grown up with um. neighbors from when i've. uh when i was younger. uh that i was close to. um uh. different friends. uh that i've had along the way uh friends who. are more like family. so yeah. mhm (mhm). they've had positive influence. easy_sleep (how easy is it for you to get a good night's sleep). that's i get i sleep too well <laughter>. so i sleep well every night. so. feel_lately (how have you been feeling lately). normal. but i my normal i've been feeling my normal. behavior_changes (have you noticed any changes in your behavior or thoughts lately). no. ptsd_diagnosed (have you ever been diagnosed with p_t_s_d). no. depression_diagnosed (have you been diagnosed with depression). no. happy_lasttime (tell me about the last time you felt really happy). um. that was recent. something happened um. i was um able to participate. um. with um my church on sunday with <wi> i was a pentecost. it was pentecost sunday meaning it was fifty days after the resurrection of jesus christ. and so i was able to participate uh in our prayer. session that we had at my church and uh that was really. made me very happy. so. good_hear (that's so good to hear). mhm. BF_describe (how would your best friend describe you). that uh i'm smart they would say that i'm smart. that uh. that i handle difficulties very well. um. and that i dress well <laughter>. wild_laughter3 ((laughter)). <laughter>. self_change (what are some things you wish you could change about yourself). um. i don't wanna change anything. i do want to just be a better me so be a better person. uh so um. i am working on uh listening better. uh communicating better. uh and and uh accepting my. uh. weaknesses better as well as my strengths. okay_confirm (okay). regret (is there anything you regret). no. advice_back (what advice would you give to yourself ten or twenty years ago). mm that's a good question. i would have uh. i would've told myself to. to uh do what i know to do to do what i know. uh that which is right and um ooh xxx. uh to do. what i know is right. and uh let everything else let. the other chips fall where they may. but to do what i know to do is right. mhm (mhm). and to go forward. mm (mm). Ellie17Dec2012_08 (what are you most proud of in your life). um. i am very proud of the fact that. uh i don't give up. asked_everything (okay i think i have asked everything i need to). appreciate_open (thanks for sharing your thoughts with me). bye (goodbye). bye and thank you. see ya'll <laughter>.\nThe above is an audio recording from a clinical interview, along with the transcript. The interviewer (Ellie) is conducting a depression screening interview with a participant. Based on the participant's responses and behavior during this clinical interview, does the participant show signs of depression? Answer with one phrase: depression, no depression.", "answer": "no depression", "images": [], "videos": [], "audios": ["temp_daicwoz/val/492/492_AUDIO.wav"], "dataset": "daicwoz", "modality_signature": "text_audio", "ext_video_feats": ["pose/temp_daicwoz/val/492/492_AUDIO.pt"], "ext_audio_feats": ["opensmile/temp_daicwoz/val/492/492_AUDIO.pt"], "texts": [], "task": "depression_cls", "class_label": "false"}