task_categories:image-feature-extraction language:fr license:mit size_categories:1K<n<10K format:parquet modality:image modality:text library:datasets library:dask library:mlcroissant library:polars arxiv:2407.01449 region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 639726535.2
    num_examples: 4700
  - name: test
    num_bytes: 43386013.0
    num_examples: 300
  download_size: 652374418
  dataset_size: 683112548.2
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- image-feature-extraction
language:
- fr
license: mit
---

## Description

[vidore/vdsid_french](https://huggingface.co/datasets/vidore/vdsid_french) 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}, 
}
```
