# MedQA (USMLE 4-option, US subset + English textbook corpus)

License: permissive (MIT); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): derived, exam-derived.

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (MIT)
- Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Risk flag(s): derived, Exam-derived. Link only.
- Source risk: Derived, Exam-derived
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/medqa-2/

## Key facts

- Domain: Clinical medicine
- Content type: Question banks and benchmarks, Literature
- Size: — — 10K<n<100K
- Language: English
- Modality: Text
- Publisher: awinml
- Year: —

## Commercial use of MedQA (USMLE 4-option, US subset + English textbook corpus)

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

## MedQA (USMLE 4-option, US subset + English textbook corpus) license evidence

first-hand data-scope statement(s) allow commercial use and redistribution

- **Hugging Face card metadata** — MIT: Statement found in snapshot s01 (readme) — "license: mit" — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)
- **README** — MIT: Statement found in snapshot s01 (readme) — "The original [jind11/MedQA](https://github.com/jind11/MedQA) repository is distributed under the [MIT License](https://github.com/jind11/MedQA/blob/master/LICENSE). This re-upload follows that license." — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)
- **README**: Statement found in snapshot s01 (readme) — "Users should review the original repository and paper and ensure their intended use is compatible with any terms that apply to the underlying source materials." — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)
- **README**: Statement found in snapshot s01 (readme) — "This dataset should **not** be used for clinical diagnosis, treatment recommendations, or as a substitute for licensed medical expertise." — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)
- **Dataset page**: Statement found in snapshot s02 (page) — "This dataset should not be used for clinical diagnosis, treatment recommendations, or as a substitute for licensed medical expertise. Performance on multiple-choice exam questions does not reflect clinical safety." — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)
- **Dataset page** — MIT: Statement found in snapshot s02 (page) — "The original jind11/MedQA repository is distributed under the MIT License . This re-upload follows that license." — https://huggingface.co/datasets/awinml/medqa (2026-11-12; Page opened)

## Source and lineage

—
- Derived from: jind11/MedQA

## Known issues with MedQA (USMLE 4-option, US subset + English textbook corpus)

- US-centric: contains only the English USMLE portion of MedQA.
- metamap_phrases are generated automatically and may be noisy or incomplete.
- The textbook corpus is provided as raw text without chapter or section boundaries.

## Preflight

Not run (data not ingested).

## Downloading MedQA (USMLE 4-option, US subset + English textbook corpus) and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/awinml/medqa

### Access recipe

- .gitattributes · 3 KB · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/.gitattributes
- README.md · 9 KB · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/README.md
- corpus/train.jsonl · 89.9 MB · sha256 d2821c564fb0fb514b594b1f25c9893d1113cb43c3ed5cc0e168982a8a529c8f · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/corpus/train.jsonl
- questions/test.jsonl · 2.1 MB · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/test.jsonl
- questions/train.jsonl · 16.2 MB · sha256 3a65baf760f17c395058d6699315a7ce8aa767c50cb193fea87ceb94dd790324 · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/train.jsonl
- questions/validation.jsonl · 2.0 MB · https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/validation.jsonl

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/README.md"
curl -L --create-dirs -o "corpus/train.jsonl" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/corpus/train.jsonl"
echo "d2821c564fb0fb514b594b1f25c9893d1113cb43c3ed5cc0e168982a8a529c8f  corpus/train.jsonl" | sha256sum -c
curl -L --create-dirs -o "questions/test.jsonl" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/test.jsonl"
curl -L --create-dirs -o "questions/train.jsonl" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/train.jsonl"
echo "3a65baf760f17c395058d6699315a7ce8aa767c50cb193fea87ceb94dd790324  questions/train.jsonl" | sha256sum -c
curl -L --create-dirs -o "questions/validation.jsonl" "https://huggingface.co/datasets/awinml/medqa/resolve/afdb980b627374a7f10a0a11ed68455596c52742/questions/validation.jsonl"
```

## Citing MedQA (USMLE 4-option, US subset + English textbook corpus)

No recommended citation text.
- arXiv:2009.13081
- 10.3390/app11146421

## Machine-readable

- JSON: https://mdexa.com/datasets/medqa-2.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 Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

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