# TCMQA（TechTCM）

License: restricted (CC-BY-NC-SA-4.0); Mdexa hosting: link-only. License is restricted: CC BY-NC-SA 4.0 prohibits commercial use; link only.

- Commercial use: No · Derivatives: Conditional · Redistribution: Conditional · File on Mdexa: No
- License status: Restricted (CC-BY-NC-SA-4.0)
- Mdexa hosting: Link only — License is restricted: CC BY-NC-SA 4.0 prohibits commercial use; link only.
- Source risk: Exam-derived
- Last verified: 2026-11-12
- Card: https://mdexa.com/datasets/tcmqa/

## Key facts

- Domain: Traditional Chinese medicine
- Content type: Question banks and benchmarks, Expert judgments
- Size: 33,872 questions (total); 5,250 questions (answered by 102 licensed TCM physicians) — 33,872道选择题；其中5,250题由102名持证中医师作答
- Language: Chinese
- Modality: Text
- Publisher: TechTCM（techtcm.com）
- Year: 未标明

## Commercial use of TCMQA（TechTCM）

- Commercial use: No.
- License status: Restricted.
Verdicts record what sources state and are not legal advice.

## TCMQA（TechTCM） license evidence

CC BY-NC-SA 4.0 prohibits commercial use

- **Hugging Face card metadata** — CC-BY-NC-SA-4.0: Hugging Face dataset card: CC BY-NC-SA 4.0 — "license: cc-by-nc-sa-4.0" — https://huggingface.co/datasets/TechTCM/TCMQA (2026-11-12; Page opened)

## Source and lineage

TCM licensing exam materials

## Known issues with TCMQA（TechTCM）

- The card's linked paper id shows arXiv:2609.33014, inconsistent with the current date; not verified
- Sources include national medical licensing exam questions; in August 2026 the National Medical Examination Center issued a statement asserting copyright over past exam questions, so there is a source copyright risk

## Preflight

Not run (data not ingested).

## Downloading TCMQA（TechTCM） and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/TechTCM/TCMQA

### Access recipe

- .gitattributes · 3 KB · https://huggingface.co/datasets/TechTCM/TCMQA/resolve/a0f39cf06baf01065354f92a3edb5a7786bbf7ff/.gitattributes
- README.md · 5 KB · https://huggingface.co/datasets/TechTCM/TCMQA/resolve/a0f39cf06baf01065354f92a3edb5a7786bbf7ff/README.md
- data/doctor_annotated/train-00000-of-00001.parquet · 1.5 MB · sha256 6a0c95e1cf06f41eafa1498178360d97107c352f4ad8ae0cf497ce36a56c2d09 · https://huggingface.co/datasets/TechTCM/TCMQA/resolve/a0f39cf06baf01065354f92a3edb5a7786bbf7ff/data/doctor_annotated/train-00000-of-00001.parquet
- data/qa/train-00000-of-00001.parquet · 7.5 MB · sha256 dec2019b778ca8d1fa589189a5cea3f49603ef75694a4b027e6b6f9d0bf743e2 · https://huggingface.co/datasets/TechTCM/TCMQA/resolve/a0f39cf06baf01065354f92a3edb5a7786bbf7ff/data/qa/train-00000-of-00001.parquet

## Citing TCMQA（TechTCM）

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/tcmqa.json
- 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: 6 (5 stated by the authors with excerpts, 1 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.

## 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: HWTCM（Haiwei 中医评测集） (https://mdexa.com/datasets/hwtcm/); TCM-Ladder (https://mdexa.com/datasets/tcm-ladder/); TCM-3CEval (https://mdexa.com/datasets/tcm-3ceval/).