# HWTCM（Haiwei 中医评测集）

License: permissive (MIT); Mdexa hosting: link-only. License is permissive, but source risk: source not stated, so source copyright cannot be judged; link only.

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (MIT)
- Mdexa hosting: Link only — License is permissive, but source risk: source not stated, so source copyright cannot be judged; link only.
- Source risk: Unknown provenance
- Last verified: 2026-11-12
- Card: https://mdexa.com/datasets/hwtcm/

## Key facts

- Domain: Traditional Chinese medicine
- Content type: Question banks and benchmarks
- Size: 39,169 rows; 10.7 MB — 39,169行，10.7 MB
- Language: Chinese
- Modality: Text
- Publisher: Haiwei AI Team（Monor）
- Year: 2024

## Commercial use of HWTCM（Haiwei 中医评测集）

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

## HWTCM（Haiwei 中医评测集） license evidence

Dataset card states MIT

- **Hugging Face card metadata** — MIT: Hugging Face dataset card: MIT — "license: mit" — https://huggingface.co/datasets/Monor/hwtcm (2026-11-12; Page opened)

## Source and lineage

The card does not state the source

## 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 (data not ingested).

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

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/Monor/hwtcm

### Access recipe

- .gitattributes · 2 KB · https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/.gitattributes
- README.md · 3 KB · https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/README.md
- hwtcm.json · 10.7 MB · sha256 0455868a7b268f619205dce448aba9ef05e1fbef2fd58fc78555e2e56a6d6ff2 · https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/hwtcm.json

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/README.md"
curl -L --create-dirs -o "hwtcm.json" "https://huggingface.co/datasets/Monor/hwtcm/resolve/dd9cdf56c1d7d1a5c7b17d02f3ff5b50928b3b8f/hwtcm.json"
echo "0455868a7b268f619205dce448aba9ef05e1fbef2fd58fc78555e2e56a6d6ff2  hwtcm.json" | sha256sum -c
```

## Citing HWTCM（Haiwei 中医评测集）

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/hwtcm.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: 5 (4 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: TCM-Ladder (https://mdexa.com/datasets/tcm-ladder/); TCMQA（TechTCM） (https://mdexa.com/datasets/tcmqa/); LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/datasets/linglan/).