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A-OKVQA/diverse_instruction-00000-of-00001.parquet

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CIRR/diverse_instruction-00000-of-00001.parquet

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HatefulMemes/diverse_instruction-00000-of-00001.parquet

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HatefulMemes/original-00000-of-00001.parquet

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InfographicsVQA/diverse_instruction-00000-of-00001.parquet

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README.md

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----
-license: apache-2.0
----
+---
+language:
+- en
+license: apache-2.0
+size_categories:
+- 1M<n<10M
+pretty_name: MMEB
+dataset_info:
+- config_name: A-OKVQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 3338954
+    num_examples: 17056
+  - name: diverse_instruction
+    num_bytes: 3133737
+    num_examples: 17056
+  download_size: 2047947
+  dataset_size: 6472691
+- config_name: CIRR
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 7329334
+    num_examples: 26116
+  - name: diverse_instruction
+    num_bytes: 7372754
+    num_examples: 26116
+  download_size: 3565805
+  dataset_size: 14702088
+- config_name: ChartQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 6038803
+    num_examples: 28299
+  - name: diverse_instruction
+    num_bytes: 5699001
+    num_examples: 28299
+  download_size: 3716222
+  dataset_size: 11737804
+- config_name: DocVQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 8110162
+    num_examples: 39463
+  - name: diverse_instruction
+    num_bytes: 7639455
+    num_examples: 39463
+  download_size: 4945343
+  dataset_size: 15749617
+- config_name: HatefulMemes
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 1732890
+    num_examples: 8500
+  - name: diverse_instruction
+    num_bytes: 1457996
+    num_examples: 8500
+  download_size: 164510
+  dataset_size: 3190886
+- config_name: ImageNet_1K
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 13364615
+    num_examples: 100000
+  - name: diverse_instruction
+    num_bytes: 12420504
+    num_examples: 100000
+  download_size: 4229920
+  dataset_size: 25785119
+- config_name: InfographicsVQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
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+    num_examples: 23946
+  - name: diverse_instruction
+    num_bytes: 4971080
+    num_examples: 23946
+  download_size: 3285414
+  dataset_size: 10228887
+- config_name: MSCOCO
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 24352395
+    num_examples: 100000
+  - name: diverse_instruction
+    num_bytes: 23402480
+    num_examples: 100000
+  download_size: 3245813
+  dataset_size: 47754875
+- config_name: MSCOCO_i2t
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 21949351
+    num_examples: 113287
+  - name: diverse_instruction
+    num_bytes: 21905631
+    num_examples: 113287
+  download_size: 9735223
+  dataset_size: 43854982
+- config_name: MSCOCO_t2i
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 22135986
+    num_examples: 100000
+  - name: diverse_instruction
+    num_bytes: 22855603
+    num_examples: 100000
+  download_size: 10137403
+  dataset_size: 44991589
+- config_name: N24News
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 14534664
+    num_examples: 48988
+  - name: diverse_instruction
+    num_bytes: 13764900
+    num_examples: 48988
+  download_size: 10773266
+  dataset_size: 28299564
+- config_name: NIGHTS
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
+    dtype: string
+  splits:
+  - name: original
+    num_bytes: 3331669
+    num_examples: 15941
+  - name: diverse_instruction
+    num_bytes: 3042355
+    num_examples: 15941
+  download_size: 507810
+  dataset_size: 6374024
+- config_name: OK-VQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
+    dtype: string
+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
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+  splits:
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+    num_examples: 9009
+  - name: diverse_instruction
+    num_bytes: 1596220
+    num_examples: 9009
+  download_size: 1054499
+  dataset_size: 3300045
+- config_name: SUN397
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
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+  - name: task_instruction
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+  - name: diverse_instruction
+    num_bytes: 2243231
+    num_examples: 19850
+  download_size: 336494
+  dataset_size: 4473121
+- config_name: VOC2007
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
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+  - name: task_instruction
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+  - name: represent_prompt
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+    num_examples: 7844
+  - name: diverse_instruction
+    num_bytes: 854695
+    num_examples: 7844
+  download_size: 142534
+  dataset_size: 1729776
+- config_name: VisDial
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
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+  - name: neg_image_path
+    dtype: string
+  - name: task_instruction
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+  - name: represent_prompt
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+  splits:
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+  - name: diverse_instruction
+    num_bytes: 80709365
+    num_examples: 123287
+  download_size: 58273400
+  dataset_size: 161489906
+- config_name: Visual7W
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: neg_text
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+  - name: represent_prompt
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+  - name: diverse_instruction
+    num_bytes: 11542967
+    num_examples: 69817
+  download_size: 5649037
+  dataset_size: 23922969
+- config_name: VisualNews_i2t
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
+    dtype: string
+  - name: task_instruction
+    dtype: string
+  - name: represent_prompt
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+    num_examples: 100000
+  - name: diverse_instruction
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+    num_examples: 100000
+  download_size: 18948257
+  dataset_size: 49057543
+- config_name: VisualNews_t2i
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
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+  - name: diverse_instruction
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+    num_examples: 99903
+  download_size: 19990061
+  dataset_size: 53895934
+- config_name: WebQA
+  features:
+  - name: qry
+    dtype: string
+  - name: qry_image_path
+    dtype: string
+  - name: pos_text
+    dtype: string
+  - name: pos_image_path
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+  - name: diverse_instruction
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+    num_examples: 17166
+  download_size: 5202887
+  dataset_size: 13115252
+configs:
+- config_name: A-OKVQA
+  data_files:
+  - split: original
+    path: A-OKVQA/original-*
+  - split: diverse_instruction
+    path: A-OKVQA/diverse_instruction-*
+- config_name: CIRR
+  data_files:
+  - split: original
+    path: CIRR/original-*
+  - split: diverse_instruction
+    path: CIRR/diverse_instruction-*
+- config_name: ChartQA
+  data_files:
+  - split: original
+    path: ChartQA/original-*
+  - split: diverse_instruction
+    path: ChartQA/diverse_instruction-*
+- config_name: DocVQA
+  data_files:
+  - split: original
+    path: DocVQA/original-*
+  - split: diverse_instruction
+    path: DocVQA/diverse_instruction-*
+- config_name: HatefulMemes
+  data_files:
+  - split: original
+    path: HatefulMemes/original-*
+  - split: diverse_instruction
+    path: HatefulMemes/diverse_instruction-*
+- config_name: ImageNet_1K
+  data_files:
+  - split: original
+    path: ImageNet_1K/original-*
+  - split: diverse_instruction
+    path: ImageNet_1K/diverse_instruction-*
+- config_name: InfographicsVQA
+  data_files:
+  - split: original
+    path: InfographicsVQA/original-*
+  - split: diverse_instruction
+    path: InfographicsVQA/diverse_instruction-*
+- config_name: MSCOCO
+  data_files:
+  - split: original
+    path: MSCOCO/original-*
+  - split: diverse_instruction
+    path: MSCOCO/diverse_instruction-*
+- config_name: MSCOCO_i2t
+  data_files:
+  - split: original
+    path: MSCOCO_i2t/original-*
+  - split: diverse_instruction
+    path: MSCOCO_i2t/diverse_instruction-*
+- config_name: MSCOCO_t2i
+  data_files:
+  - split: original
+    path: MSCOCO_t2i/original-*
+  - split: diverse_instruction
+    path: MSCOCO_t2i/diverse_instruction-*
+- config_name: N24News
+  data_files:
+  - split: original
+    path: N24News/original-*
+  - split: diverse_instruction
+    path: N24News/diverse_instruction-*
+- config_name: NIGHTS
+  data_files:
+  - split: original
+    path: NIGHTS/original-*
+  - split: diverse_instruction
+    path: NIGHTS/diverse_instruction-*
+- config_name: OK-VQA
+  data_files:
+  - split: original
+    path: OK-VQA/original-*
+  - split: diverse_instruction
+    path: OK-VQA/diverse_instruction-*
+- config_name: SUN397
+  data_files:
+  - split: original
+    path: SUN397/original-*
+  - split: diverse_instruction
+    path: SUN397/diverse_instruction-*
+- config_name: VOC2007
+  data_files:
+  - split: original
+    path: VOC2007/original-*
+  - split: diverse_instruction
+    path: VOC2007/diverse_instruction-*
+- config_name: VisDial
+  data_files:
+  - split: original
+    path: VisDial/original-*
+  - split: diverse_instruction
+    path: VisDial/diverse_instruction-*
+- config_name: Visual7W
+  data_files:
+  - split: original
+    path: Visual7W/original-*
+  - split: diverse_instruction
+    path: Visual7W/diverse_instruction-*
+- config_name: VisualNews_i2t
+  data_files:
+  - split: original
+    path: VisualNews_i2t/original-*
+  - split: diverse_instruction
+    path: VisualNews_i2t/diverse_instruction-*
+- config_name: VisualNews_t2i
+  data_files:
+  - split: original
+    path: VisualNews_t2i/original-*
+  - split: diverse_instruction
+    path: VisualNews_t2i/diverse_instruction-*
+- config_name: WebQA
+  data_files:
+  - split: original
+    path: WebQA/original-*
+  - split: diverse_instruction
+    path: WebQA/diverse_instruction-*
+tags:
+- embedding
+---
+
+
+# Massive Multimodal Embedding Benchmark
+
+The training data split used for training VLM2Vec models in the paper [VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks](https://arxiv.org/abs/2410.05160) (ICLR 2025).
+
+MMEB benchmark covers 4 meta tasks and 36 datasets meticulously selected for evaluating capabilities of multimodal embedding models.
+
+During training, we utilize 20 out of the 36 datasets.
+
+For evaluation, we assess performance on the 20 in-domain (IND) datasets and the remaining 16 out-of-domain (OOD) datasets. Please refer to [TIGER-Lab/MMEB-eval](https://huggingface.co/datasets/TIGER-Lab/MMEB-eval) for the test split of MMEB.
+
+# News
+[2025-01]: We have updated our training data. Each subset now contains two splits: ```original``` and ```diverse_instruction```. The ```original``` split is provided to support the reproduction of our paper results. The ```diverse_instruction``` split includes paraphrased instructions for each task, designed to enhance instruction diversity and improve the model's robustness to unseen instructions and tasks. Moving forward, our future releases will primarily use the ```diverse_instruction``` split.
+
+## Dataset Usage
+For each dataset, we have 1000 examples for evaluation. Each example contains a query and a set of targets. Both the query and target could be any combination of image and text. The first one in the candidate list is the groundtruth target.  
+
+## Statistics
+We show the statistics of all the datasets as follows:
+<img width="900" alt="abs" src="https://huggingface.co/datasets/TIGER-Lab/MMEB-eval/resolve/main/statistics.png?download=true">
+
+## Cite Us
+```
+@article{jiang2024vlm2vec,
+  title={VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks},
+  author={Jiang, Ziyan and Meng, Rui and Yang, Xinyi and Yavuz, Semih and Zhou, Yingbo and Chen, Wenhu},
+  journal={arXiv preprint arXiv:2410.05160},
+  year={2024}
+}
+```

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