lyon-nlp/mteb-fr-reranking-alloprof-s2p
Description This dataset was built upon Alloprof Q&A 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}… See the full description on the dataset page: https://huggingface.co/datasets/lyon-nlp/mteb-fr-reranking-alloprof-s2p.
Description
This dataset was built upon Alloprof Q&A 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}
}