README.md

metadata

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 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}, 
}