---
license: apache-2.0
language:
- sv
---
# Dataset Card for Dataset Name

This is a novel multiple choice, clinical question & answering (Q&A) dataset in Swedish consisting of
3,180 questions. The dataset was created from a series of exams aimed at evaluating doctors’ clinical understanding
and decision making and is the first open-source clinical Q&A dataset in Swedish. The exams – originally in PDF
format – were parsed and each question manually checked and curated in order to limit errors in the dataset.

Please read the paper - "MedQA-SWE A clinical question & answer dataset for Swedish" - for more information. 


### Dataset Sources [optional]

- https://aclanthology.org/2024.lrec-main.975/

## Uses

Evaluation of language models encoded clinical knowledge. 

## Citation

**BibTeX:**

@inproceedings{hertzberg-lokrantz-2024-medqa,
    title = "{M}ed{QA}-{SWE} - a Clinical Question {\&} Answer Dataset for {S}wedish",
    author = "Hertzberg, Niclas and Lokrantz, Anna",
    editor = "Calzolari, Nicoletta and
      Kan, Min-Yen and
      Hoste, Veronique and
      Lenci, Alessandro and
      Sakti, Sakriani and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.975",
    pages = "11178--11186"
}



## Dataset Card Authors

Niclas Hertzberg & Anna Lokrantz

## Dataset Card Contact

You can reach us at niclas.hertzberg@ai.se or anna.lokrantz@ai.se or by commenting here.