README.md

metadata

dataset_info:
  - config_name: corpus
    features:
      - name: corpus-id
        dtype: int64
      - name: image
        dtype: image
    splits:
      - name: test
        num_bytes: 1779344
        num_examples: 5
    download_size: 1530250
    dataset_size: 1779344
  - config_name: qrels
    features:
      - name: query-id
        dtype: int64
      - name: corpus-id
        dtype: int64
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 48
        num_examples: 2
    download_size: 1583
    dataset_size: 48
  - config_name: queries
    features:
      - name: query-id
        dtype: int64
      - name: query
        dtype: string
    splits:
      - name: test
        num_bytes: 176
        num_examples: 2
    download_size: 1550
    dataset_size: 176
configs:
  - config_name: corpus
    data_files:
      - split: test
        path: corpus/test-*
  - config_name: qrels
    data_files:
      - split: test
        path: qrels/test-*
  - config_name: queries
    data_files:
      - split: test
        path: queries/test-*

Dataset Description

This dataset is a small subset of the vidore/syntheticDocQA_energy_test_beir dataset. It aims to be used for debugging and testing.

Load the dataset

from datasets import load_dataset
ds = load_dataset("vidore/vidore_benchmark_beir_dummy", split="test")

Dataset Structure

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

Citation Information

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}, 
}