Dataset · Hugging Face

ucsbai/SAW-Bench

Name: SAW-Bench
Creator: ucsbai
License: cc-by-nc-4.0
Keywords: task_categories:visual-question-answering, task_categories:video-text-to-text, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2602.16682

SAW-Bench: Learning Situated Awareness in the Real World SAW-Bench (Situated Awareness in the Real World) is a benchmark for evaluating observer-centric situated awareness in multimodal foundation models — the ability to reason about space, motion, and possible actions relative to one's own egocentric viewpoint as it evolves over time. Unlike prior benchmarks that emphasize environment-centric relations (how objects relate to each other in a scene), SAW-Bench probes whether a… See the full description on the dataset page: https://huggingface.co/datasets/ucsbai/SAW-Bench.

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Author / organization	ucsbai
License (as declared)	cc-by-nc-4.0
Downloads	1.6K (as reported by Hugging Face)
Likes	4
Created	23 May 2026
Last updated at source	28 June 2026

egocentricvideospatial-reasoningsituated-awarenessembodied-ai

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