MovieCORE/MovieCORE

MovieCORE是一个新颖的视频问答（VQA）数据集，设计用于探索电影内容中的深度认知理解。与现有聚焦于表面理解的数据集不同，MovieCORE强调的是能够激发系统2思维的问题，并且这些问题与视频材料具体相关。该数据集旨在推进AI系统对电影内容的理解，并为当前VQA模型在面对更具挑战性、更为微妙的关于电影内容的问题时的能力和局限性提供有价值的见解。

MovieCORE is a novel video question answering (VQA) dataset designed to probe deeper cognitive understanding of movie content. Unlike existing datasets that focus on surface-level comprehension, MovieCORE emphasizes questions that engage System-2 thinking while remaining specific to the video material. This dataset aims to advance movie understanding in AI systems and provides valuable insights into the capabilities and limitations of current VQA models when faced with more challenging, nuanced questions about cinematic content.