Dataset · Hugging Face

NetanelTamir/Stuck-On-Shuffle-SABER

Name: Stuck-On-Shuffle-SABER
Creator: NetanelTamir
License: mit
Keywords: task_categories:image-to-text, task_categories:text-to-image, task_categories:image-feature-extraction, task_categories:sentence-similarity, language:en, license:mit, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2610.22602, region:us, attribute-binding, compositionality

SABER: Synthetic Attribute Binding Evaluation for Representations Project Page  |  arXiv  |  Code  |  Finetuning Dataset A benchmark for attribute-object binding in vision-language models, covering all four text and image modality pairings (text–text, text–image, image–text, and image–image). Scenes contain 2 to 10 objects, built from 232 everyday objects and 50 visual attributes. Each of the 1,800 multiple-choice questions has a query… See the full description on the dataset page: https://huggingface.co/datasets/NetanelTamir/Stuck-On-Shuffle-SABER.

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Author / organization	NetanelTamir
License (as declared)	mit
Downloads	806 (as reported by Hugging Face)
Likes	1
Created	22 September 2026
Last updated at source	22 October 2026

attribute-bindingcompositionalityvision-languageembeddingsretrievalbenchmarksynthetic

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Stuck on Shuffle: On Attribute-Object Binding in Vision-Language ModelsPaper · cites

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Stuck on Shuffle: On Attribute-Object Binding in Vision-Language ModelsPaper

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