Datasets:
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README.md
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dtype: string
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splits:
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- name: test
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num_bytes: 37496998
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num_examples: 280
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download_size: 23113603
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dataset_size: 37496998
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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dtype: string
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splits:
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- name: test
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num_bytes: 37496998
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num_examples: 280
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download_size: 23113603
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dataset_size: 37496998
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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task_categories:
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- image-feature-extraction
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language:
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- fr
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license: mit
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---
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## Description
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[vidore/tabfquad_test_subsampled](https://huggingface.co/datasets/vidore/tabfquad_test_subsampled) dataset that we processed.
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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.
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## Citation
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```
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@misc{faysse2024colpaliefficientdocumentretrieval,
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title={ColPali: Efficient Document Retrieval with Vision Language Models},
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author={Manuel Faysse and Hugues Sibille and Tony Wu and Bilel Omrani and Gautier Viaud and Céline Hudelot and Pierre Colombo},
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year={2024},
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eprint={2407.01449},
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archivePrefix={arXiv},
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primaryClass={cs.IR},
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url={https://arxiv.org/abs/2407.01449},
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}
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```
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