The dataset viewer is not available for this split.
Error code: UnexpectedError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
KorMedMCQA : Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
We introduce KorMedMCQA, the first Korean multiple-choice question answering (MCQA) benchmark derived from Korean healthcare professional licensing examinations, covering from the year 2012 to year 2023. This dataset consists of a selection of questions from the license examinations for doctors, nurses, and pharmacists, featuring a diverse array of subjects. We conduct baseline experiments on various large language models, including proprietary/open-source, multilingual/Korean-additional pretrained, and clinical context pretrained models, highlighting the potential for further enhancements. We make our data publicly available on HuggingFace and provide a evaluation script via LM-Harness, inviting further exploration and advancement in Korean healthcare environments.
Paper : https://arxiv.org/abs/2403.01469
Notice
In collaboration with Hugging Face, we have made the following updates to the KorMedMCQA dataset:
- Dentist Exam: Incorporated exam questions from 2021 to 2024.
- Updated Test Sets: Added the 2024 exam questions for the doctor, nurse, and pharmacist test sets.
- Few-Shot Split: Introduced a "few-shot" split, containing 5 shots from each validation set.
Dataset Details
Languages
Korean
Subtask
from datasets import load_dataset
doctor = load_dataset(path = "sean0042/KorMedMCQA",name = "doctor")
nurse = load_dataset(path = "sean0042/KorMedMCQA",name = "nurse")
pharmacist = load_dataset(path = "sean0042/KorMedMCQA",name = "pharm")
dentist = load_dataset(path = "sean0042/KorMedMCQA",name = "dentist")
Statistics
Category | # Questions (Train/Dev/Test) |
---|---|
Doctor | 2,489 (1,890/164/435) |
Nurse | 1,751 (582/291/878) |
Pharmacist | 1,817 (632/300/885) |
Dentist | 1,412 (297/304/811) |
Data Fields
subject
: doctor, nurse, or pharmyear
: year of the examinationperiod
: period of the examinationq_number
: question number of the examinationquestion
: questionA
: First answer choiceB
: Second answer choiceC
: Third answer choiceD
: Fourth answer choiceE
: Fifth answer choiceanswer
: Answer (1 to 5). 1 denotes answer A, and 5 denotes answer E
Contact
[email protected]
- Downloads last month
- 403