license: cc-by-nc-nd-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: year
dtype: int64
- name: subject
dtype: string
- name: prof
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: prof_en
dtype: string
- name: subject_en
dtype: string
- name: question_simp
dtype: string
- name: question_eng
dtype: string
splits:
- name: train
num_bytes: 97502784
num_examples: 149603
- name: validation
num_bytes: 129373
num_examples: 200
- name: test
num_bytes: 7895055
num_examples: 8000
download_size: 64356196
dataset_size: 105527212
EMPEC(Examinations for Medical PErsonnel in Chinese) collects the recent 10 years of multi-choice questions from the Professional and Technical Examinations for Medical Personnel of the Republic of China.
We collect tests for various medical professionals such as Medical Technologist, Medical Radiation Technologist, Registered Professional Nurse, Physical Therapist et. al. There are in total of 81761 single-choice questions covering a wide range of subjects including General Clinical Psychology, Anatomy and Physiology, Fundamentals of Respiratory Care, and Occupational Therapy Techniques et.al.
EMPEC forms a remarkable challenge for AI models and can serve as an effective tool to evaluate models' medical knowledge encoded in Chinese. We hope EMPEC could support the exploration and building of Large Multi-lingual or Chinese Language Models, especially in the medical domain.
If you find EMPEC useful, please consider citing us.
Citation
@misc{EMPEC,
title={EMPEC, Examinations-for-Medical-PErsonnel-in-Chinese},
author={Zheheng Luo},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/zhehengluoK/Examinations-for-Medical-PErsonnel-in-Chinese}},
}
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