# MedChatZH

License: conflict (NOASSERTION); Mdexa hosting: pending. the publisher's own statements contradict each other (permissive license vs restriction)

- Commercial use: Unclear · Derivatives: Unclear · Redistribution: Unclear · File on Mdexa: No
- License status: Conflict (NOASSERTION)
- Mdexa hosting: Pending — License conflict: the publisher's own statements contradict each other (permissive license vs restriction). Link only.
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/medchatzh/

## Key facts

- Domain: Traditional Chinese medicine
- Content type: QA, dialogue and instruction data
- Size: — — 100K<n<1M
- Language: Chinese
- Modality: Text
- Publisher: tyang816
- Year: 2024

## Commercial use of MedChatZH

- Commercial use: Unclear (Conflict).
- License status: Conflict.
Verdicts record what sources state and are not legal advice.

## MedChatZH license evidence

the publisher's own statements contradict each other (permissive license vs restriction)

- **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s04 (readme) — "license: apache-2.0" — https://huggingface.co/datasets/tyang816/MedChatZH (2026-11-12; Page opened)
- **Hugging Face card text**: Statement found in snapshot s04 (readme) — "**本项目模型与数据集及其衍生物仅用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。**" — https://huggingface.co/datasets/tyang816/MedChatZH (2026-11-12; Page opened)
- **Dataset page**: Statement found in snapshot s05 (page) — "本项目模型与数据集及其衍生物仅用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。" — https://huggingface.co/datasets/tyang816/MedChatZH (2026-11-12; Page opened)

## Source and lineage

—

## Known issues with MedChatZH

- May produce factually incorrect answers on factual instructions.
- Harmful instructions cannot be well identified, which produces harmful statements.
- Model capability in scenarios involving reasoning and code still needs improvement.

## Preflight

Not run (data not ingested).

## Downloading MedChatZH and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/tyang816/MedChatZH

### Access recipe

- .gitattributes · 2 KB · https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/.gitattributes
- MedChatZH_mix_2M.json · 3.0 GB · sha256 57ca99e4cd27c17ded246d3f1cf013f83d5124bc9fa8e66165aa9bb54a56a7c0 · https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_mix_2M.json
- MedChatZH_train.json · 866.8 MB · sha256 ba230c4124b2d9c4230ae15613afee66fd4ec12288e70b660275c23e20918f20 · https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_train.json
- MedChatZH_valid.json · 562 KB · https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_valid.json
- README.md · 6 KB · https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/README.md

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/.gitattributes"
curl -L --create-dirs -o "MedChatZH_mix_2M.json" "https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_mix_2M.json"
echo "57ca99e4cd27c17ded246d3f1cf013f83d5124bc9fa8e66165aa9bb54a56a7c0  MedChatZH_mix_2M.json" | sha256sum -c
curl -L --create-dirs -o "MedChatZH_train.json" "https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_train.json"
echo "ba230c4124b2d9c4230ae15613afee66fd4ec12288e70b660275c23e20918f20  MedChatZH_train.json" | sha256sum -c
curl -L --create-dirs -o "MedChatZH_valid.json" "https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/MedChatZH_valid.json"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/tyang816/MedChatZH/resolve/c3ec8b78a39f103e8b608a44d092baea00485769/README.md"
```

## Citing MedChatZH

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/medchatzh.json
- 2026-11-14 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-14 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 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: ShenNong_TCM_Dataset（ChatMed_TCM_Dataset） (https://mdexa.com/datasets/shennong-tcm-dataset/); LingLanMedBench Traditional Chinese Medicine Benchmark Dataset (https://mdexa.com/datasets/linglan/); HuatuoGPT2-SFT-GPT4-140K (https://mdexa.com/datasets/huatuogpt2-sft-gpt4-140k/).