Dataset · Hugging Face

aacudad/AnomalyThink-MMAD

Name: AnomalyThink-MMAD
Creator: aacudad
License: cc-by-nc-sa-4.0
Keywords: task_categories:image-text-to-text, task_categories:visual-question-answering, language:en, license:cc-by-nc-sa-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, industrial-anomaly-detection, reasoning, chain-of-thought

AnomalyThink-MMAD: reasoning traces for the MMAD benchmark aacudad/AnomalyThink-MMAD holds one structured reasoning trace for 8,293 of the 8,366 images of the MMAD benchmark (DS-MVTec, VisA, GoodsAD, MVTec-LOCO), written with the same teacher recipe as the AnomalyThink corpus of the MSc thesis Reasoning-Enhanced Vision-Language Models for Explainable Industrial Anomaly Detection (TU Delft, 2026). Each trace is a single-image inspection: a <think> block, and for anomalies a… See the full description on the dataset page: https://huggingface.co/datasets/aacudad/AnomalyThink-MMAD.

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Author / organization	aacudad
License (as declared)	cc-by-nc-sa-4.0
Downloads	135 (as reported by Hugging Face)
Likes	1
Created	11 September 2026
Last updated at source	18 September 2026

industrial-anomaly-detectionreasoningchain-of-thoughtvision-language-modelbenchmark-leakagemmad

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