# Traditional-Chinese-Medicine-Dataset-Pretrain

License: permissive (Apache-2.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): real-patient-text, scraped.

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (Apache-2.0)
- Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Risk flag(s): Real patient text, scraped. Link only.
- Source risk: Real patient text, Scraped
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/traditional-chinese-medicine-dataset-pretrain/

## Key facts

- Domain: Traditional Chinese medicine, Classical texts, Case records, Chinese materia medica, Formulas, Acupuncture, moxibustion and tuina, Diagnostic methods, Clinical medicine
- Content type: Clinical cases, Classical texts, Databases, Terminologies and coding systems
- Size: — — 约1GB
- Language: Chinese
- Modality: Text
- Publisher: SylvanL
- Year: —

## Commercial use of Traditional-Chinese-Medicine-Dataset-Pretrain

- Commercial use: Yes.
- License status: Permissive.
- Conditions: Notice kept
Verdicts record what sources state and are not legal advice.

## Traditional-Chinese-Medicine-Dataset-Pretrain license evidence

first-hand data-scope statement(s) allow commercial use and redistribution

- **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s01 (readme) — "license: apache-2.0" — https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain (2026-11-12; Page opened)
- **README**: Statement found in snapshot s01 (readme) — "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; Page opened)

## Source and lineage

—

## Known issues with Traditional-Chinese-Medicine-Dataset-Pretrain

- The 230,000-record EMR-derived portion is assembled by rule-based table joining and the authors describe its quality as only moderate.

## Preflight

Not run (data not ingested).

## Downloading Traditional-Chinese-Medicine-Dataset-Pretrain and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain

### Access recipe

- .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"
```

## Citing Traditional-Chinese-Medicine-Dataset-Pretrain

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/traditional-chinese-medicine-dataset-pretrain.json
- 2026-11-14 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-14 Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

## Continue in this database

This record is one of 109 processed and verified records (datasets, data resources and open models). To find others, call `https://mcp.mdexa.com/v1/datasets?q=<words>` or connect the MCP server at `https://mcp.mdexa.com/mcp`; no key is needed for 20 calls per minute. Rows are under 1 KB; an empty result means "not listed". For a list of items, one batch check (free account) returns a report. Guide: /agents.md. Similar records: LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/datasets/linglan/); Traditional Chinese Medicine Examination (https://mdexa.com/datasets/tcmle/); TCM-Vision-Benchmark (https://mdexa.com/datasets/tcm-vision-benchmark/).