---
dataset_info:
  features:
  - name: index
    dtype: int64
  - name: video_index
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: eval_method
    dtype: string
  - name: option
    sequence: string
  - name: task_type
    dtype: string
  - name: task
    dtype: string
  - name: duration
    dtype: float64
  - name: meta
    struct:
    - name: fps
      dtype: float64
    - name: frame_count
      dtype: int64
  splits:
  - name: train
    num_bytes: 500262
    num_examples: 2000
  download_size: 167816
  dataset_size: 500262
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- video-text-to-text
---

This dataset is from the paper [MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in
  Video Scenarios](https://huggingface.co/papers/2505.21333).

See https://github.com/FrankYang-17/MME-VideoOCR for more information.

# License
Our MME-VideoOCR is released as [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/deed.en). The video samples are collected from a publicly available resource. 

## Note
MME-VideoOCR is only used for academic research. Commercial use in any form is prohibited.
The copyright of all videos belongs to the video owners.
If there is any infringement in MME-VideoOCR, please email frankyang1517@gmail.com and we will remove it immediately.
Without prior approval, you cannot distribute, publish, copy, disseminate, or modify MME-VideoOCR in whole or in part. 

You must strictly comply with the above restrictions.