Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments

• URL: http://arxiv.org/abs/2408.11347v2
• Date: Tue, 17 Sep 2024 01:30:36 GMT
• Title: Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments
• Authors: Takanori Ugai, Kensho Hara, Shusaku Egami, Ken Fukuda,
• Abstract summary: Our dataset measures the extent to which a robot can understand human behavior and the environment in a home setting. Preliminary experiments suggest our dataset is useful in measuring AI's comprehension of daily life.
• Score: 4.024850952459759
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We used a 3D simulator to create artificial video data with standardized annotations, aiming to aid in the development of Embodied AI. Our question answering (QA) dataset measures the extent to which a robot can understand human behavior and the environment in a home setting. Preliminary experiments suggest our dataset is useful in measuring AI's comprehension of daily life. \end{abstract}

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