Dataset · Hugging Face

Dangindev/VinDR-CXR-VQA

Name: VinDR-CXR-VQA
Creator: Dangindev
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:object-detection, task_categories:image-classification, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2511.00504, region:us, medical

VinDr-CXR-VQA Dataset Dataset Description VinDr-CXR-VQA is a large-scale chest X-ray Visual Question Answering (VQA) dataset designed for explainable medical AI with spatial grounding capabilities. The dataset combines natural language question-answer pairs with bounding box annotations and clinical reasoning explanations. Key Features 🏥 4,394 chest X-ray images from VinDr-CXR 💬 17,597 question-answer pairs across 6 question types 📍 Spatial… See the full description on the dataset page: https://huggingface.co/datasets/Dangindev/VinDR-CXR-VQA.

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Author / organization	Dangindev
License (as declared)	cc-by-4.0
Downloads	226 (as reported by Hugging Face)
Likes	3
Created	24 October 2025
Last updated at source	26 January 2026

medicalchest-x-rayvqaexplainable-aispatial-grounding

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