lyon-nlp/mteb-fr-reranking-alloprof-s2p

---
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}
}
```

原始信息汇总

数据集概述

配置信息

• documents

  • 特征:
    • text: 字符串类型
    • doc_id: 字符串类型
  • 分割:
    • test:
      • 字节数: 9476376
      • 样本数: 2556
  • 下载大小: 4995857 字节
  • 数据集大小: 9476376 字节

• queries

  • 特征:
    • query: 字符串类型
    • positive: 字符串序列
    • negative: 字符串序列
  • 分割:
    • test:
      • 字节数: 1435051
      • 样本数: 2316
    • train:
      • 字节数: 5773011
      • 样本数: 9264
  • 下载大小: 2617958 字节
  • 数据集大小: 7208062 字节

文件配置

• documents:

  • test: documents/test-*

• queries:

  • test: queries/test-*
  • train: queries/train-*

其他信息

• 许可证: MIT
• 语言: 法语
• 名称: Alloprof