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---
language:
- ko
license: cc-by-nc-2.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
configs:
- config_name: dentist
data_files:
- split: train
path: dentist/train-*
- split: dev
path: dentist/dev-*
- split: test
path: dentist/test-*
- split: fewshot
path: dentist/fewshot-*
- config_name: doctor
data_files:
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path: doctor/train-*
- split: dev
path: doctor/dev-*
- split: test
path: doctor/test-*
- split: fewshot
path: doctor/fewshot-*
- config_name: nurse
data_files:
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path: nurse/train-*
- split: dev
path: nurse/dev-*
- split: test
path: nurse/test-*
- split: fewshot
path: nurse/fewshot-*
- config_name: pharm
data_files:
- split: train
path: pharm/train-*
- split: dev
path: pharm/dev-*
- split: test
path: pharm/test-*
- split: fewshot
path: pharm/fewshot-*
tags:
- medical
dataset_info:
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dtype: string
- name: year
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- name: period
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- name: q_number
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- name: B
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- name: C
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---
# 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](https://huggingface.co./datasets/ChuGyouk/KorMedMCQA_edited), 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]
``` |