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License status and Mdexa hosting, recorded separatelyAll datasets

ShenNong_TCM_DatasetChatMed_TCM_Dataset

Verified by Mdexa · 2026-11-12Checked against the source text under public rules.How we check

Commercial use: UnclearConflict
Derivatives: UnclearUnstated
Redistribution: UnclearUnstated
File on Mdexa: NoPending

HF card Apache-2.0 conflicts with the README non-commercial statement

ConflictPendingNOASSERTIONSave

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<a href="https://mdexa.com/datasets/shennong-tcm-dataset/"><img src="https://mcp.mdexa.com/v1/badge/datasets/shennong-tcm-dataset.svg" alt="Mdexa verified · Conflict · 2026-11" height="20"></a>

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Cite this pageMdexa, ShenNong_TCM_Dataset (ChatMed_TCM_Dataset), https://mdexa.com/datasets/shennong-tcm-dataset/, verified 2026-11-12.

Source riskModel-generated

Key facts

Domain: Traditional Chinese medicine Traditional medicine
Also known as: ChatMed_TCM_Dataset
Content: QA, dialogue and instruction dataTCM instruction QA (generated by ChatGPT)
Size: 112,565 rowsHF
≥110,000 itemsREADME
As stated: HF 112,565行；README 称11万+条
Language / modality: Chinese / Text
Publisher: michael-wzhu (ShenNong-TCM-LLM)
Year: 2023
Expert review: None
Verification: Verified: license text seen

Commercial use of ShenNong_TCM_Dataset (ChatMed_TCM_Dataset)

Commercial use: Unclear (Conflict). License status: Conflict.

Quoted statements and their sources are in ShenNong_TCM_Dataset (ChatMed_TCM_Dataset) license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format: Open-ended QA
Quoted from the source- 采用以实体为中心的自指令方法[entity-centric self-instruct](./src/entity_centric_self_instruct.py)，调用ChatGPT得到11w+的围绕中医药的指令数据；Snapshot s03
Intended use: Fine-tuning
Quoted from the source- 采用以实体为中心的自指令方法[entity-centric self-instruct](./src/entity_centric_self_instruct.py)，调用ChatGPT得到11w+的围绕中医药的指令数据；Snapshot s03
Specialty: Multi-specialty
Source type: Built from a knowledge base
Expert involvement: None

Author-statedInferredHuman-confirmed

ShenNong_TCM_Dataset (ChatMed_TCM_Dataset) license evidence 2

Apache-2.0Hugging Face card metadata≠“本项目相关资源仅供学术研究之用，严禁用于商业用途。”README

Hugging Face card metadataPage opened

Apache-2.0
Third-party text · Hugging Face card metadatalicense: apache-2.0
HF dataset card: apache-2.0

huggingface.co2026-11-12 · s01
READMEPage opened

Third-party text · README本项目相关资源仅供学术研究之用，严禁用于商业用途。
GitHub README non-commercial statement; repository has no license file

github.com2026-11-12 · s03

Source and lineage

Generated by ChatGPT from a TCM knowledge graph using entity-centric self-instruct

No upstream or downstream datasets recorded.

Known issues with ShenNong_TCM_Dataset (ChatMed_TCM_Dataset)

HF card README is empty
Factual errors visible in the data viewer (e.g. formula names not matching their composition)
The two license statements are inconsistent

Preflight

Not run Runs only on ingested data; says nothing about quality.

Downloading ShenNong_TCM_Dataset (ChatMed_TCM_Dataset) and API access

No file on Mdexa (see the verdict). Get it from the source and confirm the terms there:

3 files · 110.5 MB

curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/michaelwzhu/ShenNong_TCM_Dataset/resolve/7356f4f786b87c6bcb3c38d8b6d4b5e75aadb718/.gitattributes"
curl -L --create-dirs -o "ChatMed_TCM-v0.2.json" "https://huggingface.co/datasets/michaelwzhu/ShenNong_TCM_Dataset/resolve/7356f4f786b87c6bcb3c38d8b6d4b5e75aadb718/ChatMed_TCM-v0.2.json"
echo "9021c29d476a21bd316eab37410b9134b2bdc464dcb9d215fb58e23269b9a2ab  ChatMed_TCM-v0.2.json" | sha256sum -c
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/michaelwzhu/ShenNong_TCM_Dataset/resolve/7356f4f786b87c6bcb3c38d8b6d4b5e75aadb718/README.md"

Citing ShenNong_TCM_Dataset (ChatMed_TCM_Dataset)

Mdexa, ShenNong_TCM_Dataset (ChatMed_TCM_Dataset), https://mdexa.com/datasets/shennong-tcm-dataset/, verified 2026-11-12.

More citation details

The source gives no citation text; the line above cites this card.

Machine-readable

shennong-tcm-dataset.jsonshennong-tcm-dataset.mdcatalog.json

Change log 6

2026-11-13	Added specialty tags: multi-specialty(inferred).
2026-11-13	Removed the stored size-tier tag; the tier is now computed from the size field when pages are built.
2026-11-13	Added dataset-level tags: 5 (2 stated by the authors with excerpts, 3 inferred from the content). No conclusion changed.
2026-11-12	Added verbatim license excerpts and snapshot ids from captured page snapshots; no conclusion changed.
2026-11-12	License status split into license_status (what the license says) and hosting (what Mdexa does); the earlier conclusion is kept for traceability.
2026-11-12	Card converted from an earlier manual catalog; no new facts added; reclassified under taxonomy v2.

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huggingface.co github.com

LicensePermissiveRestrictedConflictUnstatedUnverifiable

MdexaHostedEligibleLink onlyPending

VerdictYesNoConditionalUnclear

Definitions

Permissive: Every statement agrees and allows commercial use and redistribution.
Restricted: A statement forbids commercial use or adaptation, limits use to research, or the rights belong to a third party or require payment.
Conflict: Statements in different places contradict each other.
Unstated: No data license statement was found.
Unverifiable: The page could not be opened, or only second-hand information was found.
Hosted: Mdexa serves the files. Needs a permissive license, no risk flags and a human sign-off.
Eligible: Permissive with no risk flags, waiting for a human sign-off.
Link only: Indexed and linked to the source: the license is restricted, or permissive with a risk flag.
Pending: License in conflict, unstated or unverifiable; linked to the source until resolved.
Exam-derived: Questions come from copyrighted examinations.
Scraped: Content was collected from websites.
Real patient text: Derived from real patient text; privacy authorisation needs checking.
Model-generated: Generated by a model; the model's output terms need checking.
Derived: Processed from other datasets, whose terms also apply.
Unknown provenance: The source is not stated, so its copyright cannot be judged.

Find other datasets

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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: MedChatZH (https://mdexa.com/datasets/medchatzh/); LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/datasets/linglan/); HuatuoGPT2-SFT-GPT4-140K (https://mdexa.com/datasets/huatuogpt2-sft-gpt4-140k/).