# Traditional-Chinese-Medicine-Dataset-Pretrain

许可证声明：宽松（Apache-2.0）；本站处理：只链接原出处。针对数据的声明允许商用和再分发。来源风险标记：real-patient-text、scraped。

- 能否商用：是 · 能否改编：是 · 能否再分发：是 · Mdexa 提供文件：否
- 许可证状态：宽松 (Apache-2.0)
- Mdexa 处理：只链接 — 许可证宽松：针对数据的声明允许商用和再分发。来源风险标记：真实患者文本、抓取自网站。只链接原出处。
- 来源风险：真实患者文本、抓取自网站
- 最近核实：2026-11-14
- 信息卡：https://mdexa.com/zh/datasets/traditional-chinese-medicine-dataset-pretrain/

## 关键事实

- 领域：中医药, 古籍, 医案, 中药, 方剂, 针灸推拿, 诊法, 临床医学
- 内容类型：病例与医案, 古籍文本, 结构化数据库, 术语与编码体系
- 规模：— — 约1GB
- 语言：中文
- 模态：文本
- 发布方：SylvanL
- 年份：—

## Traditional-Chinese-Medicine-Dataset-Pretrain 是否允许商业使用

- 商业使用：是。
- 许可状态：宽松。
- 条件：保留声明
结论仅记录来源所述，不构成法律意见。

## Traditional-Chinese-Medicine-Dataset-Pretrain 许可证证据

针对数据的声明允许商用和再分发

- **Hugging Face 卡片元数据** — Apache-2.0：在快照 s01（readme）中找到的声明 — "license: apache-2.0" — https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain (2026-11-12; 亲自打开)
- **README**：在快照 s01（readme）中找到的声明 — "注意：该数据集仅适用于预训练或继续预训练用途，针对SFT/IFT的QA数据集详见：SylvanL/Traditional-Chinese-Medicine-Dataset-SFT" — https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain (2026-11-12; 亲自打开)

## 来源与血缘

—

## Traditional-Chinese-Medicine-Dataset-Pretrain 已知问题

- 23万条EMR医案由规则联表拼接，作者自评质量中规中矩。

## 预检

未预检（数据未入库）。

## Traditional-Chinese-Medicine-Dataset-Pretrain 下载、接口与获取方式

Mdexa 站内不提供文件。原始出处：
- https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain

### 取用配方

- .gitattributes · 3 KB · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/.gitattributes
- CPT_medicalRecord_source1_61486.json · 99.6 MB · sha256 4e43ac20d8063de20f61773473480fa248525781092d8d02008f5741e8f43f38 · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source1_61486.json
- CPT_medicalRecord_source2_15307.json · 15.7 MB · sha256 8d1a83f65d0cd27f7727d9c1e793560da87a3d10f6aa50af104fa3ec86efe4f5 · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source2_15307.json
- CPT_medicalRecord_source3_230000.json · 115.2 MB · sha256 a6a3cf4d696fb3307afdfd0918341d13c49ad83db307c1e3390e5f488feadbf4 · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source3_230000.json
- CPT_medicalRecord_source4_48665.json · 37.2 MB · sha256 337b89722abb775814aff4fd77698b6a0280115773407ac1a7f86b30c678b8c2 · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source4_48665.json
- CPT_tcmBooks_source1_146244.json · 243.4 MB · sha256 81714c013a09ffcbc7a32bcdf1b6a9dc22772d0c2485f9b77598c3f8c98c713c · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmBooks_source1_146244.json
- CPT_tcmKnowledge_source1_17921.json · 10.9 MB · sha256 5ea806912de0bc24f8b1fc8adb65f219191903938116169b7b2e00f45d001880 · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmKnowledge_source1_17921.json
- CPT_tcmKnowledge_source2_12889.json · 53.3 MB · sha256 fd88c8db6598e888319a6c79c3374b926420b64a359f708ad6a9005cb5b6051d · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmKnowledge_source2_12889.json
- README.md · 42 KB · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/README.md
- dataset_info.json · 1 KB · https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/dataset_info.json

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/.gitattributes"
curl -L --create-dirs -o "CPT_medicalRecord_source1_61486.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source1_61486.json"
echo "4e43ac20d8063de20f61773473480fa248525781092d8d02008f5741e8f43f38  CPT_medicalRecord_source1_61486.json" | sha256sum -c
curl -L --create-dirs -o "CPT_medicalRecord_source2_15307.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source2_15307.json"
echo "8d1a83f65d0cd27f7727d9c1e793560da87a3d10f6aa50af104fa3ec86efe4f5  CPT_medicalRecord_source2_15307.json" | sha256sum -c
curl -L --create-dirs -o "CPT_medicalRecord_source3_230000.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source3_230000.json"
echo "a6a3cf4d696fb3307afdfd0918341d13c49ad83db307c1e3390e5f488feadbf4  CPT_medicalRecord_source3_230000.json" | sha256sum -c
curl -L --create-dirs -o "CPT_medicalRecord_source4_48665.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_medicalRecord_source4_48665.json"
echo "337b89722abb775814aff4fd77698b6a0280115773407ac1a7f86b30c678b8c2  CPT_medicalRecord_source4_48665.json" | sha256sum -c
curl -L --create-dirs -o "CPT_tcmBooks_source1_146244.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmBooks_source1_146244.json"
echo "81714c013a09ffcbc7a32bcdf1b6a9dc22772d0c2485f9b77598c3f8c98c713c  CPT_tcmBooks_source1_146244.json" | sha256sum -c
curl -L --create-dirs -o "CPT_tcmKnowledge_source1_17921.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmKnowledge_source1_17921.json"
echo "5ea806912de0bc24f8b1fc8adb65f219191903938116169b7b2e00f45d001880  CPT_tcmKnowledge_source1_17921.json" | sha256sum -c
curl -L --create-dirs -o "CPT_tcmKnowledge_source2_12889.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/CPT_tcmKnowledge_source2_12889.json"
echo "fd88c8db6598e888319a6c79c3374b926420b64a359f708ad6a9005cb5b6051d  CPT_tcmKnowledge_source2_12889.json" | sha256sum -c
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/README.md"
curl -L --create-dirs -o "dataset_info.json" "https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain/resolve/fd01649d8e019ed2b002119e0fd74076c5f7b73d/dataset_info.json"
```

## Traditional-Chinese-Medicine-Dataset-Pretrain 引用格式

原始资料没有给出推荐引用文本。

## 机器可读

- JSON: https://mdexa.com/datasets/traditional-chinese-medicine-dataset-pretrain.json
- 2026-11-14 按当前规则重新判定；机器检查仍全部通过。
- 2026-11-14 经自动流水线收录并通过全部校验（门禁、逐字引用、判定引擎、两轮独立抽取）。

## 在本库继续查找

本条目是 109 条已处理并核实的记录之一（数据集、数据资源与开源模型）。查找其他条目：调用 `https://mcp.mdexa.com/v1/datasets?q=<关键词>`，或连接 MCP 服务 `https://mcp.mdexa.com/mcp`；每分钟 20 次以内无需密钥。每行返回不到 1 KB；空结果即"数据库未收录"。核对一份清单：一次批量核对（免费账号）即返回报告。说明：/agents.md。相似条目：LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/zh/datasets/linglan/)；Traditional Chinese Medicine Examination (https://mdexa.com/zh/datasets/tcmle/)；TCM-Vision-Benchmark (https://mdexa.com/zh/datasets/tcm-vision-benchmark/)。