metadata
dataset_info:
- config_name: default
features:
- name: query
dtype: string
- name: negative
sequence: string
- name: positive
sequence: string
splits:
- name: test
num_bytes: 683409
num_examples: 100
download_size: 107153
dataset_size: 683409
- config_name: documents
features:
- name: doc_id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_bytes: 121961
num_examples: 90
download_size: 70666
dataset_size: 121961
- config_name: queries
features:
- name: query
dtype: string
- name: positive
sequence: string
- name: negative
sequence: string
splits:
- name: test
num_bytes: 26599
num_examples: 100
download_size: 8995
dataset_size: 26599
configs:
- config_name: default
data_files:
- split: test
path: queries/test-*
- config_name: documents
data_files:
- split: test
path: documents/test-*
- config_name: queries
data_files:
- split: test
path: queries/test-*
Description
This dataset was built upon Syntec information retrieval dataset, negative samples were created using BM25. Please refer to our paper for more details.
Citation
If you use this dataset in your work, please consider citing:
@misc{ciancone2024extending,
title={Extending the Massive Text Embedding Benchmark to French},
author={Mathieu Ciancone and Imene Kerboua and Marion Schaeffer and Wissam Siblini},
year={2024},
eprint={2405.20468},
archivePrefix={arXiv},
primaryClass={cs.CL}
}