---
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/DogNeverSleep/MME-VideoOCR_Dataset for more information, including the license.