Duplicate from FreedomIntelligence/TCM-Vision-Benchmark

Co-authored-by: Zhenyang Cai <Eric3200@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+language:
+- zh
+tags:
+- Traditional Chinese Medicine
+- Multimodal Data
+---
+
+# <span>📚 Introduction</span>
+
+This is the text benchmark for [ShizhenGPT](https://github.com/FreedomIntelligence/ShizhenGPT), a multimodal LLM for **Traditional Chinese Medicine (TCM)**.
+
+For details, see our [paper](https://arxiv.org/abs/2508.14706) and [GitHub repository](https://github.com/FreedomIntelligence/ShizhenGPT).
+
+# <span>📊 Benchmark Overview</span>
+
+The benchmark is composed of 7 sections, each compiled from different authoritative TCM illustrated books.
+
+|                                      | Samples                       |
+| ------------------------------------ | ------------------------------ |
+| TCM Patent | 1119 |
+| TCM Material | 1020 |
+| TCM Herb | 1100 |
+| Tongue | 768 |
+| Palm | 640 |
+| Holism | 1011 |
+| Tuina | 831 |
+| Eye | 715 |
+
+## ⚒️ Data Construction
+
+```json
+{
+  "image": [
+    "tcm_bench_images/0001.jpg"
+  ],
+  "question": "请根据这张图片，判断它属于下面哪一种？",
+  "options": {
+    "A": "巴戟肉",
+    "B": "盐巴戟天",
+    "C": "制白附子片",
+    "D": "生白附子片"
+  },
+  "answer": "巴戟肉",
+  "answer_idx": "A",
+  "category": "TCM Patent"
+}
+```
+
+# <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},
+}
+```

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