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--- |
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task_categories: |
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- text-classification |
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- question-answering |
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language: |
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- fr |
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pretty_name: alloprof |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: documents |
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data_files: documents.json |
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- config_name: queries |
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data_files: queries.json |
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--- |
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This is a re-edit from the Alloprof dataset (which can be found here : https://huggingface.co/datasets/antoinelb7/alloprof). |
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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 |
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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. |
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### Why a re-edition ? |
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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. |
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For more information about the project, please refer to the associated paper : https://arxiv.org/pdf/2210.07316.pdf |
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### Usage |
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To use the dataset, you need to specify the subset you want (documents or queries) when calling the load_dataset() method. |
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For example, to get the queries use : |
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```py |
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from datasets import load_dataset |
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dataset = load_dataset("lyon-nlp/alloprof", "queries") |
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``` |
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