|
--- |
|
dataset_info: |
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- config_name: documents |
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features: |
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- name: text |
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dtype: string |
|
- name: doc_id |
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dtype: string |
|
splits: |
|
- name: test |
|
num_bytes: 9476376 |
|
num_examples: 2556 |
|
download_size: 4995857 |
|
dataset_size: 9476376 |
|
- config_name: queries |
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features: |
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- name: query |
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dtype: string |
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- name: positive |
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sequence: string |
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- 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: |
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- config_name: documents |
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data_files: |
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- split: test |
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path: documents/test-* |
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- config_name: queries |
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data_files: |
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- split: test |
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path: queries/test-* |
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- split: train |
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path: queries/train-* |
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license: mit |
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language: |
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- fr |
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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, |
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title={Extending the Massive Text Embedding Benchmark to French}, |
|
author={Mathieu Ciancone and Imene Kerboua and Marion Schaeffer and Wissam Siblini}, |
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year={2024}, |
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eprint={2405.20468}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
|
``` |
