Dataset · Hugging Face

oValach/Crash-VQA

Name: Crash-VQA
Creator: oValach
License: cc-by-nc-4.0
Keywords: task_categories:visual-question-answering, task_ids:visual-question-answering, task_ids:closed-domain-qa, task_ids:multi-class-classification, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, modality:image, modality:text, modality:tabular, library:datasets, library:dask, library:pandas, library:mlcroissant, region:us

Crash-VQA Crash-VQA: A Multi-View Dataset for Post-Crash Mechanics and Severity Prediction Nine canonical views of one damaged vehicle. Missing views are represented as null. Overview Crash-VQA is a multi-view benchmark for structured prediction of post-crash mechanics and severity. Each task instance contains one prediction target, a normalized label, optional structured vehicle metadata, and up to nine canonical views of the same vehicle. The natural… See the full description on the dataset page: https://huggingface.co/datasets/oValach/Crash-VQA.

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Author / organization	oValach
License (as declared)	cc-by-nc-4.0
Downloads	173 (as reported by Hugging Face)
Likes	1
Created	13 July 2026
Last updated at source	12 August 2026

imagetexttabulardatasetsdaskpandasmlcroissantmulti-imagemultimodalvision-languagevisual-question-answeringvqaautomotivecrash-analysisvehicle-damagepost-crashvehicle-safetyroad-safetysafety-criticalbenchmarknhtsaciss

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