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--- |
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dataset_info: |
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dataset_name: TCM_Book_Corpus |
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language: zh |
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license: apache-2.0 |
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task_categories: |
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- language-modeling |
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pretty_name: 中医教材语料全集 |
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size_categories: |
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- 1M<n<10M |
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tags: |
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- chinese |
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- traditional-chinese-medicine |
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- textbook |
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- academic |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data*/*.parquet |
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--- |
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# TCM Book Corpus |
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> Pre-training Corpus |
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## Data Overview |
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| | Modality | Description | Data Quantity | |
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| ---------------------------------- | ------------ | ------------------------------------------------------------------------- | ------------------------------ | |
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| TCM\_Book\_Corpus | 📝 Text | A cleaned corpus of 3,256 TCM textbooks. | \~ 0.5 B tokens | |
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## Important Notice |
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版权归属：原始数据由 FreedomIntelligence (FreedomAI) 公开提供，本仓库仅做整理与格式转换。 |
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数据来源：截取自 [FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT](https://huggingface.co/datasets/FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT)。 |
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若使用本数据，请同时引用原作者工作： |
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```bibtex |
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@misc{chen2025shizhengptmultimodalllmstraditional, |
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title={ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine}, |
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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}, |
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year={2025}, |
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eprint={2508.14706}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2508.14706} |
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} |
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``` |
