License status and Mdexa hosting, recorded separatelyAll datasets

MedQAUSMLE 4-option, US subset + English textbook corpus

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

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

PermissiveLink onlyMITSave

Badge

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

[![Mdexa verified · Permissive · 2026-11](https://mcp.mdexa.com/v1/badge/datasets/medqa-2.svg)](https://mdexa.com/datasets/medqa-2/)

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Cite this pageMdexa, MedQA (USMLE 4-option, US subset + English textbook corpus), https://mdexa.com/datasets/medqa-2/, verified 2026-11-14.

Source riskDerivedExam-derived

Key facts

Domain
Clinical medicine Modern medicine
Content
Question banks and benchmarks · LiteratureRe-upload of the English USMLE 4-option question subset and the English textbook corpus (18 textbooks) from the original MedQA release, with the official train/validation/test split.
Size
—As stated: 10K<n<100K
Language / modality
English / Text
Publisher
awinml
Year
—
Expert review
—
Verification
Verified: license text seen

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

Commercial use: Yes. License status: Permissive.

Conditions
Notice kept

Quoted statements and their sources are in MedQA (USMLE 4-option, US subset + English textbook corpus) license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format
Multiple-choice (single answer)

Quoted from the sourcegiven a clinical vignette and four answer options, predict the correct option.Snapshot s01

Intended use
Evaluation

Quoted from the sourceevaluate domain-specific language models on USMLE-style clinical reasoning.Snapshot s01

Retrieval knowledge base

Quoted from the sourceuse the textbook corpus for open-domain medical question answering with retrieval.Snapshot s01

Specialty
Multi-specialty
Source type
Textbooks and reference books

Quoted from the sourceContains 18 medical textbooks used for retrieval-based open-domain QA.Snapshot s01

Expert-written

Quoted from the sourceannotations_creators: - expert-generatedSnapshot s01

Official split
Train and test splits

Quoted from the sourcethe official **train / validation / test** splitSnapshot s01

Author-statedInferredHuman-confirmed

MedQA (USMLE 4-option, US subset + English textbook corpus) license evidence 6

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

    Statement found in snapshot s01 (readme)

    huggingface.co2026-11-12 · s01
  2. READMEPage opened
    MIT
    Third-party text · READMEThe 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.

    Statement found in snapshot s01 (readme)

    huggingface.co2026-11-12 · s01
  3. READMEPage opened
    Third-party text · READMEUsers should review the original repository and paper and ensure their intended use is compatible with any terms that apply to the underlying source materials.

    Statement found in snapshot s01 (readme)

    huggingface.co2026-11-12 · s01
  1. READMEPage opened
    Third-party text · READMEThis dataset should **not** be used for clinical diagnosis, treatment recommendations, or as a substitute for licensed medical expertise.

    Statement found in snapshot s01 (readme)

    huggingface.co2026-11-12 · s01
  2. Dataset pagePage opened
    Third-party text · Dataset pageThis 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.

    Statement found in snapshot s02 (page)

    huggingface.co2026-11-12 · s02
  3. Dataset pagePage opened
    MIT
    Third-party text · Dataset pageThe original jind11/MedQA repository is distributed under the MIT License . This re-upload follows that license.

    Statement found in snapshot s02 (page)

    huggingface.co2026-11-12 · s02

Source and lineage

  • Derived fromjind11/MedQAnot in the database

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 Runs only on ingested data; says nothing about quality.

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

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

6 files · 110.2 MB

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

Mdexa, MedQA (USMLE 4-option, US subset + English textbook corpus), https://mdexa.com/datasets/medqa-2/, verified 2026-11-14.
More citation details

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

Machine-readable

medqa-2.jsonmedqa-2.mdcatalog.json

Change log 12
2026-11-14Re-adjudicated under the current rules; all machine checks still pass.
2026-11-14Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Re-adjudicated under the current rules; all machine checks still pass.
2026-11-13Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

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