metadata
license: cc-by-4.0
task_categories:
- multiple-choice
- question-answering
language:
- pt
- en
tags:
- medical
- evaluation
- benchmark
- multimodal
- enamed
- brazil
size_categories:
- n<1K
ENAMED 2025: Exame Nacional de Avaliação da Formação Médica
Official 100-question benchmark dataset from INEP's ENAMED 2025 medical licensing exam.
Dataset Summary
- 100 Multiple-Choice Questions with clinical vignettes and 4 options (A, B, C, D).
- Dual-Language: Original Brazilian Portuguese (
question_pt,options_pt) and English translation (question_en,options_en). - 5 Specialty Areas: Clínica Médica, Cirurgia Geral, Pediatria, Ginecologia e Obstetrícia, Medicina Preventiva e Social.
- Multimodal: Includes high-resolution clinical figure crops (
image). - Contamination-Free: Answer keys are stored separately in
gustavokch/enamed-2025-answers.
Usage
from datasets import load_dataset
dataset = load_dataset("gustavokch/enamed-2025", split="test")
print(dataset[0])