Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Languages:
Korean
ArXiv:
Libraries:
Datasets
pandas
License:
Search is not available for this dataset
The dataset viewer is not available for this split.
404, message='Not Found', url=URL('https://huggingface.co/datasets/sean0042/KorMedMCQA/resolve/refs%2Fconvert%2Fparquet/dentist/train/0000.parquet')
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:

  1. Dentist Exam: Incorporated exam questions from 2021 to 2024.
  2. Updated Test Sets: Added the 2024 exam questions for the doctor, nurse, and pharmacist test sets.
  3. 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 pharm
  • year: year of the examination
  • period: period of the examination
  • q_number: question number of the examination
  • question: question
  • A: First answer choice
  • B: Second answer choice
  • C: Third answer choice
  • D: Fourth answer choice
  • E: Fifth answer choice
  • answer : Answer (1 to 5). 1 denotes answer A, and 5 denotes answer E

Contact

[email protected]
Downloads last month
403
Edit dataset card

Models trained or fine-tuned on sean0042/KorMedMCQA