STAR Benchmark (Situated Reasoning)

Introduced by Wu et al. in STAR: A Benchmark for Situated Reasoning in Real-World Videos

How to capture the present knowledge from surrounding situations and perform reasoning accordingly is crucial and challenging for machine intelligence. STAR Benchmark is a novel benchmark for Situated Reasoning, which provides 60K challenging situated questions in four types of tasks, 140K situated hypergraphs, symbolic situation programs, and logic-grounded diagnosis for real-world video situations. (Data Download, STAR Leaderboard)

Papers


Paper Code Results Date Stars

Dataset Loaders


No data loaders found. You can submit your data loader here.

Tasks


Similar Datasets


Modalities


Languages