License status and Mdexa hosting, recorded separatelyAll datasets

HWTCMHaiwei 中医评测集

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

Commercial use
Yes
Derivatives
Yes
Redistribution
Yes
File on Mdexa
NoLink only

Dataset card states MIT

PermissiveLink onlyMITSave

Badge

Mdexa verified · Permissive · 2026-11Mdexa verifiedPermissive · 2026-11

[![Mdexa verified · Permissive · 2026-11](https://mcp.mdexa.com/v1/badge/datasets/hwtcm.svg)](https://mdexa.com/datasets/hwtcm/)

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Cite this pageMdexa, HWTCM(Haiwei 中医评测集), https://mdexa.com/datasets/hwtcm/, verified 2026-11-12.

Source riskUnknown provenance

Key facts

Domain
Traditional Chinese medicine Traditional medicine
Content
Question banks and benchmarksQuestion bank and benchmark (single-choice, multiple-choice, true/false)
Size
  • 39,169 rows
  • 10.7 MB
As stated: 39,169行,10.7 MB
Language / modality
Chinese / Text
Publisher
Haiwei AI Team (Monor)
Year
2024
Expert review
Not stated
Verification
Verified: license text seen

Commercial use of HWTCM(Haiwei 中医评测集)

Commercial use: Yes. License status: Permissive.

Quoted statements and their sources are in HWTCM(Haiwei 中医评测集) license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format
Multiple-choice (single answer)

Quoted from the sourceThis dataset can be used to evaluate the capabilities of large language models in traditional Chinese medicine and contains multiple-choice, multiple-answer, and true/false questions.Snapshot s01

Multiple-answer choice

Quoted from the sourceThis dataset can be used to evaluate the capabilities of large language models in traditional Chinese medicine and contains multiple-choice, multiple-answer, and true/false questions.Snapshot s01

True/false

Quoted from the sourceThis dataset can be used to evaluate the capabilities of large language models in traditional Chinese medicine and contains multiple-choice, multiple-answer, and true/false questions.Snapshot s01

Intended use
Evaluation

Quoted from the sourceThis dataset can be used to evaluate the capabilities of large language models in traditional Chinese medicine and contains multiple-choice, multiple-answer, and true/false questions.Snapshot s01

Specialty
Multi-specialty

Author-statedInferredHuman-confirmed

HWTCM(Haiwei 中医评测集) license evidence 1

  1. Hugging Face card metadataPage opened
    MIT
    Third-party text · Hugging Face card metadatalicense: mit

    Hugging Face dataset card: MIT

    huggingface.co2026-11-12 · s01

Source and lineage

The card does not state the source

No upstream or downstream datasets recorded.

Known issues with HWTCM(Haiwei 中医评测集)

  • Question source not stated; if derived from exam questions: 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 Runs only on ingested data; says nothing about quality.

Downloading HWTCM(Haiwei 中医评测集) and API access

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

3 files · 10.7 MB

Citing HWTCM(Haiwei 中医评测集)

Mdexa, HWTCM(Haiwei 中医评测集), https://mdexa.com/datasets/hwtcm/, verified 2026-11-12.
More citation details

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

Machine-readable

hwtcm.jsonhwtcm.mdcatalog.json

Change log 6
2026-11-13Added specialty tags: multi-specialty(inferred).
2026-11-13Removed the stored size-tier tag; the tier is now computed from the size field when pages are built.
2026-11-13Added dataset-level tags: 5 (4 stated by the authors with excerpts, 1 inferred from the content). No conclusion changed.
2026-11-12Added verbatim license excerpts and snapshot ids from captured page snapshots; no conclusion changed.
2026-11-12License status split into license_status (what the license says) and hosting (what Mdexa does); the earlier conclusion is kept for traceability.
2026-11-12Card converted from an earlier manual catalog; no new facts added; reclassified under taxonomy v2.

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