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--- |
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dataset_info: |
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splits: |
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- name: test |
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task_categories: |
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- question-answering |
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language: |
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- fr |
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pretty_name: Syntec dataset for information retrieval |
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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.json |
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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.json |
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--- |
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# Syntec dataset for information retrieval |
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This dataset has been built from the Syntec Collective bargaining agreement. Its purpose is information retrieval. |
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## Dataset Details |
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The dataset is rather small. It is intended to be used only as a test set, for fast evaluation of models. |
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It is split into 2 subsets : |
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- **queries** : it features 100 manually created questions. Each question is mapped to the article that contains the answer. |
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- **documents** : corresponds to the 90 articles from the collective bargaining |
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### Usage |
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```py |
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import datasets |
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# Download the documents (corpus) |
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corpus_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "documents") |
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# Download the queries |
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queries_raw = datasets.load_dataset("lyon-nlp/mteb-fr-retrieval-syntec-s2p", "queries") |
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``` |
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### Dataset Description |
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The collective bargaining agreement is applicable to employees of Technical Design Offices, Consulting Engineering Firms and Consulting Companies. |
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The dataset contains 100 questions, each having their answer in 1 of the 90 articles of the documents. The dataset was manually annotated. It's small size allows for quick prototyping. |
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- **Curated by:** Wikit AI (https://www.wikit.ai/) |
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- **Language(s) (NLP):** French |
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- **License:** [More Information Needed] |
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### Dataset Sources |
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https://www.syntec.fr/ |
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### Citation |
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If you use this dataset in your work, please consider citing: |
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``` |
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@misc{ciancone2024extending, |
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title={Extending the Massive Text Embedding Benchmark to French}, |
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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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} |
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``` |
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### Contact |
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mathieu@wikit.ai |
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marion@wikit.ai |
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