|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: question |
|
dtype: string |
|
- name: answer |
|
dtype: string |
|
- name: dataset |
|
dtype: string |
|
splits: |
|
- name: test |
|
num_bytes: 338910200.0 |
|
num_examples: 886 |
|
- name: train |
|
num_bytes: 1020339788.41 |
|
num_examples: 2743 |
|
download_size: 379500980 |
|
dataset_size: 1359249988.4099998 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: test |
|
path: data/test-* |
|
- split: train |
|
path: data/train-* |
|
task_categories: |
|
- visual-question-answering |
|
- image-feature-extraction |
|
language: |
|
- fr |
|
license: cc-by-nc-4.0 |
|
--- |
|
|
|
## Description |
|
|
|
French split of the [ByteDance/MTVQA](https://huggingface.co/datasets/ByteDance/MTVQA) dataset that we processed. |
|
|
|
## Citation |
|
|
|
``` |
|
@misc{tang2024mtvqa, |
|
title={MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering}, |
|
author={Jingqun Tang and Qi Liu and Yongjie Ye and Jinghui Lu and Shu Wei and Chunhui Lin and Wanqing Li and Mohamad Fitri Faiz Bin Mahmood and Hao Feng and Zhen Zhao and Yanjie Wang and Yuliang Liu and Hao Liu and Xiang Bai and Can Huang}, |
|
year={2024}, |
|
eprint={2405.11985}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CV} |
|
} |
|
``` |