image
imagewidth (px) 2.16k
2.16k
| annotation
stringclasses 8
values | transcription
stringlengths 0
137
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stringlengths 30
36
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🎯 Включение в процесс
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Alright, do take selfies. Be a smiley girl.
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segments/target_7.06_14.11.mp4
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🎯 Включение в процесс
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Alright, do take selfies. Be a smiley girl.
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segments/target_7.06_14.11.mp4
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🎯 Включение в процесс
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Alright, do take selfies. Be a smiley girl.
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segments/target_7.06_14.11.mp4
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🌍 Связь с личным опытом
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my lost selfies with my students when they were telling me goodbye when I was flying here to me and the lost selfie when I arrived to do.
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segments/world_28.22_38.10.mp4
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🌍 Связь с личным опытом
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my lost selfies with my students when they were telling me goodbye when I was flying here to me and the lost selfie when I arrived to do.
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segments/world_28.22_38.10.mp4
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🌍 Связь с личным опытом
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my lost selfies with my students when they were telling me goodbye when I was flying here to me and the lost selfie when I arrived to do.
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segments/world_28.22_38.10.mp4
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💖 Эмоциональная поддержка
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Every day, wow, wow, uh, several of them, yeah. Every day too, because uh, I...
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segments/heart_49.38_56.91.mp4
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💖 Эмоциональная поддержка
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Every day, wow, wow, uh, several of them, yeah. Every day too, because uh, I...
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segments/heart_49.38_56.91.mp4
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💖 Эмоциональная поддержка
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Every day, wow, wow, uh, several of them, yeah. Every day too, because uh, I...
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segments/heart_49.38_56.91.mp4
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💖 Эмоциональная поддержка
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voiced some photo everyday. Great. Thank you. Thank you very much.
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segments/heart_63.49_69.14.mp4
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💖 Эмоциональная поддержка
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voiced some photo everyday. Great. Thank you. Thank you very much.
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segments/heart_63.49_69.14.mp4
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💖 Эмоциональная поддержка
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voiced some photo everyday. Great. Thank you. Thank you very much.
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segments/heart_63.49_69.14.mp4
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🔄 Разнообразие форм работы
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What's the show way off of self-expression? Yeah, visual. What does mean visual? Visual, right?
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segments/refresh_127.45_136.86.mp4
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🔄 Разнообразие форм работы
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What's the show way off of self-expression? Yeah, visual. What does mean visual? Visual, right?
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segments/refresh_127.45_136.86.mp4
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🔄 Разнообразие форм работы
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What's the show way off of self-expression? Yeah, visual. What does mean visual? Visual, right?
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segments/refresh_127.45_136.86.mp4
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💪 Решение учебной задачи
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It was like show but look there were some hobbies. It was selfies from the past. From the past. From the past.
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segments/strong_185.77_194.71.mp4
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💪 Решение учебной задачи
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It was like show but look there were some hobbies. It was selfies from the past. From the past. From the past.
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segments/strong_185.77_194.71.mp4
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💪 Решение учебной задачи
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It was like show but look there were some hobbies. It was selfies from the past. From the past. From the past.
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segments/strong_185.77_194.71.mp4
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🎯 Включение в процесс
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Paintings, but so if I'm a artist and I'm drawing myself right I'm drawing It's a kind of selfie, but it's not the selfie with a camera
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segments/target_200.35_211.17.mp4
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🎯 Включение в процесс
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Paintings, but so if I'm a artist and I'm drawing myself right I'm drawing It's a kind of selfie, but it's not the selfie with a camera
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segments/target_200.35_211.17.mp4
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🎯 Включение в процесс
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Paintings, but so if I'm a artist and I'm drawing myself right I'm drawing It's a kind of selfie, but it's not the selfie with a camera
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segments/target_200.35_211.17.mp4
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💖 Эмоциональная поддержка
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Thank you very much, Seattle. So these are self-portraits.
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segments/heart_217.28_222.46.mp4
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💖 Эмоциональная поддержка
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Thank you very much, Seattle. So these are self-portraits.
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segments/heart_217.28_222.46.mp4
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💖 Эмоциональная поддержка
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Thank you very much, Seattle. So these are self-portraits.
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segments/heart_217.28_222.46.mp4
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💖 Эмоциональная поддержка
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fights for women when on part part. That's it so we can describe the appearance, right? How they look so the other color of our eyes.
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segments/heart_241.27_252.56.mp4
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💖 Эмоциональная поддержка
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fights for women when on part part. That's it so we can describe the appearance, right? How they look so the other color of our eyes.
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segments/heart_241.27_252.56.mp4
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💖 Эмоциональная поддержка
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fights for women when on part part. That's it so we can describe the appearance, right? How they look so the other color of our eyes.
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segments/heart_241.27_252.56.mp4
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💖 Эмоциональная поддержка
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and we used to describe this for a picture. To be honest, yes. I promise to tell the truth and only the truth.
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segments/heart_352.73_361.20.mp4
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💖 Эмоциональная поддержка
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and we used to describe this for a picture. To be honest, yes. I promise to tell the truth and only the truth.
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segments/heart_352.73_361.20.mp4
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💖 Эмоциональная поддержка
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and we used to describe this for a picture. To be honest, yes. I promise to tell the truth and only the truth.
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segments/heart_352.73_361.20.mp4
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🎯 Включение в процесс
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on the winner.
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segments/target_381.42_387.06.mp4
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🎯 Включение в процесс
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on the winner.
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segments/target_381.42_387.06.mp4
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🎯 Включение в процесс
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on the winner.
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segments/target_381.42_387.06.mp4
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🎯 Включение в процесс
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I need to help her. Um, Steele will you help me? Please stop here.
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segments/target_401.17_408.70.mp4
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🎯 Включение в процесс
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I need to help her. Um, Steele will you help me? Please stop here.
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segments/target_401.17_408.70.mp4
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🎯 Включение в процесс
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I need to help her. Um, Steele will you help me? Please stop here.
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segments/target_401.17_408.70.mp4
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💪 Решение учебной задачи
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So, what is your sample of poetry? Oh, it's probably someone's grandparent. And she has a blue cat.
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segments/strong_450.56_464.19.mp4
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💪 Решение учебной задачи
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So, what is your sample of poetry? Oh, it's probably someone's grandparent. And she has a blue cat.
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segments/strong_450.56_464.19.mp4
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💪 Решение учебной задачи
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So, what is your sample of poetry? Oh, it's probably someone's grandparent. And she has a blue cat.
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segments/strong_450.56_464.19.mp4
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💖 Эмоциональная поддержка
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and green, cold drink, and probably choose.
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segments/heart_460.43_474.07.mp4
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💖 Эмоциональная поддержка
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and green, cold drink, and probably choose.
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segments/heart_460.43_474.07.mp4
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💖 Эмоциональная поддержка
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and green, cold drink, and probably choose.
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segments/heart_460.43_474.07.mp4
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😊 Эмоциональный отклик
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No, it's not the woman. Why do we do that? Who is it?
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segments/smile_491.47_499.47.mp4
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😊 Эмоциональный отклик
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No, it's not the woman. Why do we do that? Who is it?
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segments/smile_491.47_499.47.mp4
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😊 Эмоциональный отклик
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No, it's not the woman. Why do we do that? Who is it?
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segments/smile_491.47_499.47.mp4
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🔄 Разнообразие форм работы
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Now stand up, stand up. Turn to your partners.
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segments/refresh_518.75_525.81.mp4
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🔄 Разнообразие форм работы
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Now stand up, stand up. Turn to your partners.
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segments/refresh_518.75_525.81.mp4
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🔄 Разнообразие форм работы
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Now stand up, stand up. Turn to your partners.
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segments/refresh_518.75_525.81.mp4
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😊 Эмоциональный отклик
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Say hello to your partner. Hello. Hello. Okay.
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segments/smile_530.98_535.68.mp4
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😊 Эмоциональный отклик
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Say hello to your partner. Hello. Hello. Okay.
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segments/smile_530.98_535.68.mp4
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😊 Эмоциональный отклик
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Say hello to your partner. Hello. Hello. Okay.
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segments/smile_530.98_535.68.mp4
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🚀 Включенность в процесс
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I did. I think that their character is really fine, nice, girls, girls can help the user. Then you want to.
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segments/rocket_592.12_605.76.mp4
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🚀 Включенность в процесс
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I did. I think that their character is really fine, nice, girls, girls can help the user. Then you want to.
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segments/rocket_592.12_605.76.mp4
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🚀 Включенность в процесс
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I did. I think that their character is really fine, nice, girls, girls can help the user. Then you want to.
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segments/rocket_592.12_605.76.mp4
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🤝 Работа в команде
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segments/handshake_613.28_620.34.mp4
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🤝 Работа в команде
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segments/handshake_613.28_620.34.mp4
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🤝 Работа в команде
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segments/handshake_613.28_620.34.mp4
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YAML Metadata
Warning:
The task_ids "image-classification-other" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
Video Dataset - test2040
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/— extracted frames grouped by role (start,middle,end)segments/— video clips for each annotation intervalannotations/— original JSON annotationtranscriptions/— transcription files (full_transcription.txt+ per segment)dataset.csv— mapping between frames, annotations, video clips, and segment transcription
Dataset Statistics
- Frames: 57
- Segments: 19
- Unique Labels: 8
Dataset Features
- image: Extracted video frame (JPEG)
- annotation: Label/annotation for the frame segment
- transcription: Text transcription of the audio segment
- video_segment: Path to the corresponding video clip file
Usage
This dataset can be loaded using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("your-org/video-dataset-test2040")
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