File size: 1,639 Bytes
bcdc130 e9dffed bcdc130 b205c50 bcdc130 daf0863 e9dffed bcdc130 b205c50 092ee10 daf0863 e9dffed bcdc130 46c4461 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
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}
}
```
|