Datasets:
metadata
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.
See https://github.com/DogNeverSleep/MME-VideoOCR_Dataset for more information, including the license.