Datasets:
task_categories:
- text-classification
- question-answering
language:
- fr
pretty_name: alloprof
size_categories:
- 1K<n<10K
This is a re-edit from the Alloprof dataset (which can be found here : https://huggingface.co/datasets/antoinelb7/alloprof).
For more information about the data source and the features, please refer to the original dataset card made by the authors, along with their paper available here : https://arxiv.org/abs/2302.07738
This re-edition of the dataset is a preprocessed version of the original, in a more ready-to-use format. Essentially, the texts have been cleaned, and data not usable for retrieval has been discarded.
Why a re-edition ?
It has been made for easier usage in the MTEB benchmarking pipeline in order to contribute in the MTEB leaderboard : https://huggingface.co/spaces/mteb/leaderboard.
For more information about the project, please refer to the associated paper : https://arxiv.org/pdf/2210.07316.pdf
Usage
To use the dataset, you need to specify the subset you want (documents or queries) when calling the load_dataset() method. For example, to get the queries use :
from datasets import load_dataset
dataset = load_dataset("lyon-nlp/alloprof", "queries")