---
language:
- fra
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
- image-feature-extraction
- image-text-to-text
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-*
---

## Description

French split of the [ByteDance/MTVQA](https://huggingface.co/datasets/ByteDance/MTVQA) dataset that we processed.

Project Page: https://bytedance.github.io/MTVQA/

## 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}
}
```