---
dataset_info:
- config_name: documents
  features:
  - name: text
    dtype: string
  - name: doc_id
    dtype: string
  splits:
  - name: test
    num_bytes: 9476376
    num_examples: 2556
  download_size: 4995857
  dataset_size: 9476376
- config_name: queries
  features:
  - name: query
    dtype: string
  - name: positive
    sequence: string
  - name: negative
    sequence: string
  splits:
  - name: test
    num_bytes: 1435051
    num_examples: 2316
  - name: train
    num_bytes: 5773011
    num_examples: 9264
  download_size: 2617958
  dataset_size: 7208062
configs:
- config_name: documents
  data_files:
  - split: test
    path: documents/test-*
- config_name: queries
  data_files:
  - split: test
    path: queries/test-*
  - split: train
    path: queries/train-*
license: mit
language:
- fr
pretty_name: Alloprof
---

### Description
This dataset was built upon [Alloprof](https://arxiv.org/abs/2302.07738) 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}
}
```