Datasets:
File size: 1,281 Bytes
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---
dataset_info:
features:
- name: image
dtype: image
- name: question
dtype: string
- name: answer
dtype: string
- name: dataset
dtype: string
splits:
- name: test
num_bytes: 37496998
num_examples: 280
download_size: 23113603
dataset_size: 37496998
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
task_categories:
- image-feature-extraction
language:
- fr
license: mit
---
## Description
[vidore/tabfquad_test_subsampled](https://huggingface.co/datasets/vidore/tabfquad_test_subsampled) dataset that we processed.
Although useless, we have created an empty `answer` column to facilitate the concatenation of this dataset with VQA datasets where only the `quesion` and `image` columns would be used to train a Colpali-type model or one of its derivatives.
## Citation
```
@misc{faysse2024colpaliefficientdocumentretrieval,
title={ColPali: Efficient Document Retrieval with Vision Language Models},
author={Manuel Faysse and Hugues Sibille and Tony Wu and Bilel Omrani and Gautier Viaud and Céline Hudelot and Pierre Colombo},
year={2024},
eprint={2407.01449},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2407.01449},
}
``` |