Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Languages:
French
Size:
10K - 100K
ArXiv:
License:
File size: 1,316 Bytes
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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},
}
``` |