---
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](https://huggingface.co/datasets/lyon-nlp/mteb-fr-retrieval-syntec-s2p) 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}
}
```