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--- |
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dataset_info: |
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features: |
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- name: index |
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dtype: int64 |
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- name: video_index |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: eval_method |
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dtype: string |
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- name: option |
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sequence: string |
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- name: task_type |
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dtype: string |
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- name: task |
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dtype: string |
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- name: duration |
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dtype: float64 |
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- name: meta |
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struct: |
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- name: fps |
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dtype: float64 |
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- name: frame_count |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 500262 |
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num_examples: 2000 |
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download_size: 167816 |
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dataset_size: 500262 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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task_categories: |
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- video-text-to-text |
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--- |
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This dataset is from the paper [MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in |
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Video Scenarios](https://huggingface.co/papers/2505.21333). |
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See https://github.com/DogNeverSleep/MME-VideoOCR_Dataset for more information, including the license. |
