FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT
📚 Introduction This dataset is the pre-training dataset for ShizhenGPT, a multimodal LLM for Traditional Chinese Medicine (TCM). We open-source the largest existing TCM corpus dataset (over 5B tokens) from TCM-related websites and books. Additionally, we also open-source the largest scale TCM image-text pretraining dataset. For details, see our paper and GitHub repository. 📊 Dataset Overview The open-sourced pre-training dataset consists of five parts:… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT.
<span>📚 Introduction</span>
This dataset is the pre-training dataset for ShizhenGPT, a multimodal LLM for Traditional Chinese Medicine (TCM). We open-source the largest existing TCM corpus dataset (over 5B tokens) from TCM-related websites and books. Additionally, we also open-source the largest scale TCM image-text pretraining dataset.
For details, see our paper and GitHub repository.
<span>📊 Dataset Overview</span>
The open-sourced pre-training dataset consists of five parts:
⚠️ Note: Due to privacy and ethical concerns, TCM signal datasets (e.g., sound and pulse) are not provided. For some signal data, refer to the Instruction Dataset.
<span>📖 Citation</span>
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},
}