Dataset · Hugging Face

P1n3/SDG-30K

Name: SDG-30K
Creator: P1n3
License: cc-by-nc-4.0
Keywords: task_categories:image-text-to-text, task_categories:image-classification, task_categories:visual-question-answering, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:json, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2606.06113, region:us

SDG-30K — Structured Defect Grounding Dataset A 30,000-image dataset for structured defect grounding in text-to-image generations. Each image is annotated with bounding-box-level defects, where each defect carries: a category (artifact for visual flaws / misalignment for caption-image mismatches), a natural-language description, and a chain-of-thought reasoning trace. This is the public release accompanying the NeurIPS 2026 anonymous submission "SDG: Structured Defect… See the full description on the dataset page: https://huggingface.co/datasets/P1n3/SDG-30K.

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Author / organization	P1n3
License (as declared)	cc-by-nc-4.0
Downloads	1K (as reported by Hugging Face)
Likes	1
Created	10 June 2026
Last updated at source	11 June 2026

text-to-imagedefect-detectionbounding-boxvision-language

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Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image FeedbackPaper · cites

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Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image FeedbackPaper

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