| --- |
| extra_gated_prompt: 'The VideoMMMU dataset contains links to web videos used for data |
| collection purposes. VideoMMMU does not own or claim rights to the content linked |
| within this dataset; all rights and copyright remain with the respective content |
| creators and channel owners. Users are responsible for ensuring compliance with |
| the terms and conditions of the platforms hosting these videos. ' |
| extra_gated_fields: |
| I acknowledge that VideoMMMU does not own the videos linked in this dataset: checkbox |
| I acknowledge that VideoMMMU is not the original creator of the videos in this dataset: checkbox |
| ? I understand that VideoMMMU may modify or remove dataset content at the request |
| of content creators or in accordance with platform policies |
| : checkbox |
| I accept the dataset license terms (CC-BY-NC-SA 4-0): checkbox |
| I agree to use this dataset for non-commercial use ONLY: checkbox |
| dataset_info: |
| - config_name: Adaptation |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: image |
| dtype: image |
| - name: question_type |
| dtype: string |
| - name: qa_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 78237306.0 |
| num_examples: 300 |
| download_size: 78109155 |
| dataset_size: 78237306.0 |
| - config_name: Comprehension |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: question_type |
| dtype: string |
| - name: qa_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 218839 |
| num_examples: 300 |
| download_size: 95699 |
| dataset_size: 218839 |
| - config_name: Perception |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: question_type |
| dtype: string |
| - name: qa_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 179980 |
| num_examples: 300 |
| download_size: 84198 |
| dataset_size: 179980 |
| configs: |
| - config_name: Adaptation |
| data_files: |
| - split: test |
| path: Adaptation/test-* |
| - config_name: Comprehension |
| data_files: |
| - split: test |
| path: Comprehension/test-* |
| - config_name: Perception |
| data_files: |
| - split: test |
| path: Perception/test-* |
| --- |
| <!-- --- |
| dataset_info: |
| - config_name: Adaptation |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: image |
| dtype: image |
| - name: question_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 78229293.0 |
| num_examples: 300 |
| download_size: 78107780 |
| dataset_size: 78229293.0 |
| - config_name: Comprehension |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: question_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 210307 |
| num_examples: 300 |
| download_size: 95067 |
| dataset_size: 210307 |
| - config_name: Perception |
| features: |
| - name: id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: link_selected |
| dtype: string |
| - name: question_type |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 177880 |
| num_examples: 300 |
| download_size: 83750 |
| dataset_size: 177880 |
| configs: |
| - config_name: Adaptation |
| data_files: |
| - split: test |
| path: Adaptation/test-* |
| - config_name: Comprehension |
| data_files: |
| - split: test |
| path: Comprehension/test-* |
| - config_name: Perception |
| data_files: |
| - split: test |
| path: Perception/test-* |
| --- --> |
| |
| This dataset contains the data for the paper [Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos](https://huggingface.co/papers/2501.13826). Video-MMMU is a multi-modal, multi-disciplinary benchmark designed to assess LMMs' ability to acquire and utilize knowledge from videos. |
|
|
| Project page: https://videommmu.github.io/ |
|
|
| ### Leaderboard (last updated: 07 Feb, 2025) |
|
|
| | Model | Overall | Perception | Comprehension | Adaptation | Δknowledge | |
| |---|---|---|---|---|---| |
| | **Human Expert** | 74.44 | 84.33 | 78.67 | 60.33 | +33.1 | |
| | [Claude-3.5-Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) | 65.78 | 72.00 | 69.67 | 55.67 | +11.4 | |
| | [GPT-4o](https://openai.com/index/hello-gpt-4o/) | 61.22 | 66.00 | 62.00 | 55.67 | +15.6 | |
| | [Qwen-2.5-VL-72B](https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct) | 60.22 | 69.33 | 61.00 | 50.33 | +9.7 | |
| | [Gemini 1.5 Pro](https://deepmind.google/technologies/gemini/pro/) | 53.89 | 59.00 | 53.33 | 49.33 | +8.7 | |
| | [Aria](https://rhymes.ai/blog-details/aria-first-open-multimodal-native-moe-model) | 50.78 | 65.67 | 46.67 | 40.00 | +3.2 | |
| | [Gemini 1.5 Flash](https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf) | 49.78 | 57.33 | 49.00 | 43.00 | -3.3 | |
| | [LLaVA-Video-72B](https://huggingface.co/lmms-lab/LLaVA-Video-72B-Qwen2) | 49.67 | 59.67 | 46.00 | 43.33 | +7.1 | |
| | [LLaVA-OneVision-72B](https://huggingface.co/llava-hf/llava-onevision-qwen2-72b-ov-hf) | 48.33 | 59.67 | 42.33 | 43.00 | +6.6 | |
| | [Qwen-2.5-VL-7B](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | 47.44 | 58.33 | 44.33 | 39.67 | +2.2 | |
| | [mPLUG-Owl3-7B](https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl3) | 42.00 | 49.33 | 38.67 | 38.00 | +7.5 | |
| | [MAmmoTH-VL-8B](https://mammoth-vl.github.io/) | 41.78 | 51.67 | 40.00 | 33.67 | +1.5 | |
| | [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | 37.44 | 47.33 | 33.33 | 31.67 | -8.5 | |
| | [LLaVA-Video-7B](https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2) | 36.11 | 41.67 | 33.33 | 33.33 | -5.3 | |
| | [VILA1.5-40B](https://huggingface.co/Efficient-Large-Model/VILA1.5-40b) | 34.00 | 38.67 | 30.67 | 32.67 | +9.4 | |
| | [Llama-3.2-11B](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/) | 30.00 | 35.67 | 32.33 | 22.00 | - | |
| | [LongVA-7B](https://huggingface.co/lmms-lab/LongVA-7B) | 23.98 | 24.00 | 24.33 | 23.67 | -7.0 | |
| | [VILA1.5-8B](https://huggingface.co/Efficient-Large-Model/Llama-3-VILA1.5-8B-Fix) | 20.89 | 20.33 | 17.33 | 25.00 | +5.9 | |
|
|
| To submit your model results, please send an email to videommmu2025@gmail.com |
