metadata

task_categories:
  - question-answering
language:
  - en
  - he
  - ja
  - es
  - pt
tags:
  - medical
size_categories:
  - n<1K

WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset

Overview

WorldMedQA-V is a multilingual and multimodal benchmarking dataset designed to evaluate vision-language models (VLMs) in healthcare contexts. The dataset includes medical examination questions from four countries—Brazil, Israel, Japan, and Spain—in both their original languages and English translations. Each multiple-choice question is paired with a corresponding medical image, enabling the evaluation of VLMs on multimodal data.

Key Features:

Multilingual: Supports local languages (Portuguese, Hebrew, Japanese, and Spanish) as well as English translations.
Multimodal: Each question is accompanied by a medical image, allowing for a comprehensive assessment of VLMs' performance on both textual and visual inputs.
Clinically Validated: All questions and answers have been reviewed and validated by native-speaking clinicians from the respective countries.

Dataset Details

Number of Questions: 568
Countries Covered: Brazil, Israel, Japan, Spain
Languages: Portuguese, Hebrew, Japanese, Spanish, and English
Types of Data: Multiple-choice questions with medical images
Evaluation: Performance of models in both local languages and English, with and without medical images

The dataset aims to bridge the gap between real-world healthcare settings and AI evaluations, fostering more equitable, effective, and representative applications.

Data Structure

The dataset is provided in TSV format, with the following structure:

ID: Unique identifier for each question.
Question: The medical multiple-choice question in the local language.
Options: List of possible answers (A-D).
Correct Answer: The correct answer's label.
Image Path: Path to the corresponding medical image (if applicable).
Language: The language of the question (original or English translation).

Example from Brazil:

Question: Um paciente do sexo masculino, 55 anos de idade, tabagista 60 maços/ano... [Full medical question see below]
Options:
- A: Aspergilose pulmonar
- B: Carcinoma pulmonar
- C: Tuberculose cavitária
- D: Bronquiectasia com infecção
Correct Answer: B

Evaluate models/results:

Download and Usage

The dataset can be downloaded from Hugging Face datasets page. All code for handling and evaluating the dataset is available in the following repositories:

Dataset Code: WorldMedQA GitHub repository
Evaluation Code: VLMEvalKit GitHub repository

Citation

Please cite this dataset as follows:

@article{WorldMedQA-V2024,
  title={WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset},
  author={Matos and Chen et al.},
  journal={Preprint},
  year={2024},
}