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CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ...
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CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ...
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CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ...
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Ates, Tayfun; Atesoglu, M. Samil; Yigit, Cagatay; Kesen, Ilker; Kobas, Mert; Erdem, Erkut; Erdem, Aykut; Goksun, Tilbe; Yuret, Deniz. - : arXiv, 2020
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Abstract:
Humans are able to perceive, understand and reason about causal events. Developing models with similar physical and causal understanding capabilities is a long-standing goal of artificial intelligence. As a step towards this direction, we introduce CRAFT, a new video question answering dataset that requires causal reasoning about physical forces and object interactions. It contains 58K video and question pairs that are generated from 10K videos from 20 different virtual environments, containing various objects in motion that interact with each other and the scene. Two question categories in CRAFT include previously studied descriptive and counterfactual questions. Additionally, inspired by the Force Dynamics Theory in cognitive linguistics, we introduce a new causal question category that involves understanding the causal interactions between objects through notions like cause, enable, and prevent. Our results show that even though the questions in CRAFT are easy for humans, the tested baseline models, ... : Accepted to Findings of ACL 2022 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2012.04293
https://arxiv.org/abs/2012.04293
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