metadata

license: apache-2.0
language:
  - zh
tags:
  - Traditional Chinese Medicine
  - Multimodal Data

📚 Introduction

This is the text benchmark for ShizhenGPT, a multimodal LLM for Traditional Chinese Medicine (TCM).

For details, see our paper and GitHub repository.

📊 Benchmark Overview

The benchmark is composed of five sections, each compiled from different national-level TCM examinations.

	Samples
2024 TCM Pharmacist (2024年中医药剂师考试)	480
2024 TCM Physician (2024年中医职业医师资格考试)	184
2024 TCM Assistant Physician (2024年中医助理职业医师资格考试)	138
2024 TCM Graduate Entrance Examination (2024年中医综合考研真题)	147
2025 TCM Graduate Entrance Examination (2025年中医综合考研真题)	139

📖 Citation

If you find our data useful, please consider citing our work!

@misc{chen2025shizhengptmultimodalllmstraditional,
      title={ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine}, 
      author={Junying Chen and Zhenyang Cai and Zhiheng Liu and Yunjin Yang and Rongsheng Wang and Qingying Xiao and Xiangyi Feng and Zhan Su and Jing Guo and Xiang Wan and Guangjun Yu and Haizhou Li and Benyou Wang},
      year={2025},
      eprint={2508.14706},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2508.14706},
}