Dataset · Hugging Face

TACPS-liv/Spatial-DISE

Name: Spatial-DISE
Creator: TACPS-liv
License: cc-by-nc-sa-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-classification, task_ids:visual-question-answering, task_ids:multiple-choice-qa, annotations_creators:expert-generated, language_creators:expert-generated, multilinguality:monolingual, source_datasets:original, language:en, license:cc-by-nc-sa-4.0, size_categories:10K<n<100K, format:csv, modality:text, library:datasets, library:pandas

Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models 📋 Overview Spatial-DISE is a comprehensive benchmark dataset designed to evaluate spatial reasoning capabilities in vision-language models. The dataset focuses on various aspects of spatial intelligence including 3D perception, spatial transformation, and geometric reasoning across multiple difficulty levels. 🧪 Evaluation Support Supported:… See the full description on the dataset page: https://huggingface.co/datasets/TACPS-liv/Spatial-DISE.

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Author / organization	TACPS-liv
License (as declared)	cc-by-nc-sa-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	5
Created	29 November 2024
Last updated at source	22 July 2026

spatial-reasoning3d-visioncomputer-visionmultimodalbenchmarksynthetic-datageometryspatial-intelligence

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