Dataset · Hugging Face

BAAI-Agents/SWITCH

Name: SWITCH
Creator: BAAI-Agents
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:text-generation, task_categories:video-to-video, task_categories:image-to-text, language:en, license:apache-2.0, size_categories:1K<n<10K, format:json, modality:image, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios [arXiv] [leaderboard] [dataset] [PDF] Dataset Summary SWITCH (Semantic World Interface Tasks for Control & Handling) is a multimodal embodied-interaction benchmark for understanding, modeling, and evaluating actions over Tangible Control Interfaces (TCIs) in egocentric real-world scenarios. TCIs include everyday interfaces such as appliance panels, lighting… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-Agents/SWITCH.

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Author / organization	BAAI-Agents
License (as declared)	apache-2.0
Downloads	1.4K (as reported by Hugging Face)
Likes	6
Created	16 June 2026
Last updated at source	30 August 2026

imagevideodatasetsmlcroissantembodied-aimultimodalegocentrichuman-computer-interactionworld-modelingtangible-control-interfacesbenchmark

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