Medical Large‑Model Chinese Exam Evaluation

Dataset Introduction

MLCE (Medical‑LLMs‑Chinese‑Exam): Medical Large‑Model Chinese Exam Evaluation aggregates data from various Chinese medical examinations and related competitions to assist in assessing large models' specialized abilities and to facilitate targeted training, with the goal of fostering comprehensive medical LLM development.

Dataset Progress

• [2024/7/7] 2017‑2021 National Physician Qualification Exam, National Pharmacist Qualification Exam, and National Nurse Qualification Exam questions.
• [2024/7/7] First open‑source release of the MLCE dataset.

Sample Data

Questions are stored in the following JSON format:

{
    "id": "",
    "question": "",
    "options": {},
    "answer": "",
    "question_type": ""
}

Example:

{
    "id": "2017-Unit1-1",
    "question": "Male, 40 years old, dizziness and headache for two weeks, three consecutive blood pressure readings 21",
    "options": {
        "A": "Acute hypertension",
        "B": "Chronic nephritis",
        "C": "Hyperthyroidism",
        "D": "Primary hypertension",
        "E": "SLE"
    },
    "answer": "D",
    "question_type": "Single‑choice"
}

Dataset Details

Thanks to all open‑source contributors! Processed data are available under data/.

More data are being prepared.

Contact

If you are interested in this work, have data contributions, or any questions, please contact: jingnant@163.com