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license: apache-2.0 |
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language: |
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- sv |
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# Dataset Card for Dataset Name |
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This is a novel multiple choice, clinical question & answering (Q&A) dataset in Swedish consisting of |
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3,180 questions. The dataset was created from a series of exams aimed at evaluating doctors’ clinical understanding |
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and decision making and is the first open-source clinical Q&A dataset in Swedish. The exams – originally in PDF |
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format – were parsed and each question manually checked and curated in order to limit errors in the dataset. |
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Please read the paper - "MedQA-SWE A clinical question & answer dataset for Swedish" - for more information. |
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### Dataset Sources [optional] |
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- https://aclanthology.org/2024.lrec-main.975/ |
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## Uses |
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Evaluation of language models encoded clinical knowledge. |
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## Citation |
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**BibTeX:** |
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@inproceedings{hertzberg-lokrantz-2024-medqa, |
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title = "{M}ed{QA}-{SWE} - a Clinical Question {\&} Answer Dataset for {S}wedish", |
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author = "Hertzberg, Niclas and Lokrantz, Anna", |
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editor = "Calzolari, Nicoletta and |
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Kan, Min-Yen and |
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Hoste, Veronique and |
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Lenci, Alessandro and |
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Sakti, Sakriani and |
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Xue, Nianwen", |
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booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", |
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month = may, |
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year = "2024", |
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address = "Torino, Italia", |
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publisher = "ELRA and ICCL", |
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url = "https://aclanthology.org/2024.lrec-main.975", |
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pages = "11178--11186" |
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} |
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## Dataset Card Authors |
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Niclas Hertzberg & Anna Lokrantz |
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## Dataset Card Contact |
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You can reach us at [email protected] or [email protected] or by commenting here. |