ColPali: Efficient Document Retrieval with Vision Language Models
Paper
• 2407.01449 • Published
• 51
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This dataset is a small subset of the vidore/syntheticDocQA_energy_test_beir dataset.
It aims to be used for debugging and testing.
from datasets import load_dataset
ds = load_dataset("vidore/vidore_benchmark_beir_dummy", split="test")
Here is an example of a dataset instance structure:
features:
- name: query
dtype: string
- name: image
dtype: image
- name: image_filename
dtype: string
- name: answer
dtype: string
- name: page
dtype: string
- name: model
dtype: string
- name: prompt
dtype: string
- name: source
dtype: string
If you use this dataset in your research, please cite the original dataset as follows:
@misc{faysse2024colpaliefficientdocumentretrieval,
title={ColPali: Efficient Document Retrieval with Vision Language Models},
author={Manuel Faysse and Hugues Sibille and Tony Wu 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},
}