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中国执业医师、药师、护士资格考试数据集和ChatGPT评估

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LLM-Chinese-NMLE

Introduction

The repository contains data for research: Performance of ChatGPT on Chinese national medical licensing examinations: a five-year examination evaluation study for physicians, pharmacists and nurses

我们在此评估了大模型如ChatGPT在中国国家执业医师资格考试、中国国家执业药师资格考试、中国国家执业护士资格考试中的潜在能力。

Data

We collected questions from Chinese National Medical Licensing Examination (NMLE), the Chinese National Pharmacist Licensing Examination (NPLE), and the Chinese National Nurse Licensing Examination (NNLE) from year 2017 to 2021. In NMLE, each exam consists of 4 units, each unit has 150 questions, for a total of 600 questions. In NPLE, each exam consists of 4 units, each unit has 120 questions, for a total of 480 questions. In NNLE, each exam consists of 2 units, each unit has 120 questions, for a total of 240 questions. Based on the requirements of the examination, a correct response rate exceeding the accuracy threshold of 0.6 is considered to meet the passing criteria.

本仓库收集了2017年至2021年中国国家执业医师资格考试(NMLE)、中国国家执业药师资格考试(NPLE)和中国国家执业护士资格考试(NNLE)的试题。在NMLE中,每次考试由4个单元组成,每个单元有150道题,总共600道题。在NPLE中,每次考试由4个单元组成,每个单元有120道题,总共480道题。在NNLE中,每次考试由2个单元组成,每个单元有120道题,总共240道题。根据考试要求,正确答案的准确率超过0.6被认为符合及格标准。

Year NMLE NPLE NNLE Total
2017 600 480 240 1320
2018 600 480 240 1320
2019 600 480 240 1320
2020 600 480 240 1320
2021 600 480 240 1320
Total 3000 2400 1200 6600

How to cite

Zong, H., Li, J., Wu, E. et al. Performance of ChatGPT on Chinese national medical licensing examinations: a five-year examination evaluation study for physicians, pharmacists and nurses. BMC Med Educ 24, 143 (2024). https://doi.org/10.1186/s12909-024-05125-7

Contact

Hui Zong, West China Hospital of Sichaun University

Email: [email protected]

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中国执业医师、药师、护士资格考试数据集和ChatGPT评估

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