Datasets:
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---
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-NC4.0](https://creativecommons.org/licenses/by-nc/4.0/). 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 [email protected] 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. |