MTEB-French
Collection
A collection of datasets used for the French sentence embedding benchmark. • 6 items • Updated
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This dataset has been built from the Syntec Collective bargaining agreement. Its purpose is information retrieval.
The dataset is rather small. It is intended to be used only as a test set, for fast evaluation of models.
It is split into 2 subsets :
import datasets
# Download the documents (corpus)
corpus_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "documents")
# Download the queries
queries_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "queries")
The collective bargaining agreement is applicable to employees of Technical Design Offices, Consulting Engineering Firms and Consulting Companies.
The dataset contains 100 questions, each having their answer in 1 of the 90 articles of the documents. The dataset was manually annotated. It's small size allows for quick prototyping.
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}
}