# medmcqa-es

License: permissive (CC-BY-4.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (CC-BY-4.0)
- Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Link only.
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/medmcqa-es/

## Key facts

- Domain: Clinical medicine, Pharmacy and drugs
- Content type: Question banks and benchmarks
- Size: — — dataset_size: 205049039
- Language: English, Spanish
- Modality: Text
- Publisher: NLP-FBK
- Year: 2025

## Commercial use of medmcqa-es

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

## medmcqa-es license evidence

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

- **Hugging Face card metadata** — CC-BY-4.0: Statement found in snapshot s01 (readme) — "license: cc-by-4.0" — https://huggingface.co/datasets/NLP-FBK/medmcqa-es (2026-11-12; Page opened)

## Source and lineage

—

## Known issues with medmcqa-es

—

## Preflight

Not run (data not ingested).

## Downloading medmcqa-es and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/NLP-FBK/medmcqa-es

### Access recipe

- .gitattributes · 2 KB · https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/.gitattributes
- README.md · 4 KB · https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/README.md
- test/train-00000-of-00001.parquet · 2.4 MB · sha256 93de22b3ad087cdc167f2fc30d935fee2dc9ac5214f40509da9c051477926c0b · https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/test/train-00000-of-00001.parquet
- train/train-00000-of-00001.parquet · 135.8 MB · sha256 72101e4e955b9f3511704a824db18dd398be905cddf25fb3895b530893b101c5 · https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/train/train-00000-of-00001.parquet
- validation/train-00000-of-00001.parquet · 2.7 MB · sha256 33112aca677d412d16e15a227b37c1885fc1f2e4081542d56fbbe84699aa0806 · https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/validation/train-00000-of-00001.parquet

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/README.md"
curl -L --create-dirs -o "test/train-00000-of-00001.parquet" "https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/test/train-00000-of-00001.parquet"
echo "93de22b3ad087cdc167f2fc30d935fee2dc9ac5214f40509da9c051477926c0b  test/train-00000-of-00001.parquet" | sha256sum -c
curl -L --create-dirs -o "train/train-00000-of-00001.parquet" "https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/train/train-00000-of-00001.parquet"
echo "72101e4e955b9f3511704a824db18dd398be905cddf25fb3895b530893b101c5  train/train-00000-of-00001.parquet" | sha256sum -c
curl -L --create-dirs -o "validation/train-00000-of-00001.parquet" "https://huggingface.co/datasets/NLP-FBK/medmcqa-es/resolve/3984fadc7a11109ea97d532edd5cad9a851b51b1/validation/train-00000-of-00001.parquet"
echo "33112aca677d412d16e15a227b37c1885fc1f2e4081542d56fbbe84699aa0806  validation/train-00000-of-00001.parquet" | sha256sum -c
```

## Citing medmcqa-es

No recommended citation text.
- arXiv:2512.05658

## Machine-readable

- JSON: https://mdexa.com/datasets/medmcqa-es.json
- 2026-11-14 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: 医学考试题库 JSON 数据集 (https://mdexa.com/datasets/medical-exam-question-bank-json/); CMB (Chinese Medical Benchmark) (https://mdexa.com/datasets/cmb/); CMExam (https://mdexa.com/datasets/cmexam/).