Dataset · Hugging Face

AIBench/M-VQA

Name: M-VQA
Creator: AIBench
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:csv, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, image-quality-assessment, embodied-ai

M-VQA: Visual Question Answering under Image Distortions Dataset Description M-VQA is the official dataset of the M-VQA Challenge, an ACM Multimedia 2026 Grand Challenge on evaluating visual question answering systems under image distortions. The dataset contains 12,400 image-question-answer samples: 400 original images; 12,000 distorted images generated from the original images using 30 distortion types; five distortion severity levels, numbered from 4 to 8.… See the full description on the dataset page: https://huggingface.co/datasets/AIBench/M-VQA.

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Author / organization	AIBench
License (as declared)	cc-by-4.0
Downloads	195 (as reported by Hugging Face)
Likes	0
Created	22 July 2026
Last updated at source	25 July 2026

image-quality-assessmentembodied-airoboticsrobustness

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