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SalArt-VQA – Dataset by salartvqa | AlphaNeural AI

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salartvqa/
SalArt-VQA

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SalArt-VQA

SalArt-VQA is a closed-set visual question answering benchmark for salient artifact understanding in AI-generated images.

Dataset Structure

Split: test Rows: 950 Artifact images: 475 Clean real-image references: 356 Paired generated artifact-free counterparts: 119

Each row is self-contained. image_path and q3_overlay_image_path are relative paths inside this dataset repository. image and q3_overlay_image mirror those paths for Hugging Face image… See the full description on the dataset page: https://huggingface.co/datasets/salartvqa/SalArt-VQA.