README.md

---
dataset_info:
  features:
  - name: image
    sequence: image
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 6179907012
    num_examples: 21953
  download_size: 6175685752
  dataset_size: 6179907012
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- visual-question-answering
language:
- fra
license: mit
---


## Description

This dataset is a processed version of the TextCaps dataset by Sidorov, Hu, Rohrbach and Singh, particularly for a visual question answering task where answer is a caption.  
We converted the images to PIL format (`image` column of the dataset); created 55 different questions in French (`question` column); and finally translated the original captions from English to French and used them as answers (`answer` column).

## Citation

#### TextCaps

```
@misc{sidorov2020textcapsdatasetimagecaptioning,
      title={TextCaps: a Dataset for Image Captioning with Reading Comprehension}, 
      author={Oleksii Sidorov and Ronghang Hu and Marcus Rohrbach and Amanpreet Singh},
      year={2020},
      eprint={2003.12462},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2003.12462}, 
}
```