Dataset · Hugging Face

EmbodiedCity/BasicSpatialAbility

Name: BasicSpatialAbility
Creator: EmbodiedCity
License: mit
Keywords: task_categories:visual-question-answering, language:en, license:mit, size_categories:n<1K, format:imagefolder, modality:image, modality:text, modality:video, library:datasets, library:mlcroissant, arxiv:2502.11859, region:us, video, text, embodied

[ACL'25 Main] Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics [!IMPORTANT] You can find the sample testing code on GitHub! This dataset is a benchmark designed for evaluating Multimodal Large Language Models' Basic Spatial Abilities based on authentic Psychometric theories. It is structured specifically to support both Zero-shot and Few-shot evaluation protocols. Split Name Role Description test Query Set… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedCity/BasicSpatialAbility.

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Author / organization	EmbodiedCity
License (as declared)	mit
Downloads	162 (as reported by Hugging Face)
Likes	0
Created	20 December 2025
Last updated at source	16 February 2026

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