BAER

BAER数据集是由德国柏林的Inworld.AI和马克斯·普朗克数学科学研究所联合创建，专注于识别交互式小说中的可操作实体，以促进故事情节的发展。该数据集包含5550个描述，每个描述中至少包含一个可操作实体，总大小为1.2MB。数据集的创建涉及从多个交互式小说资源中收集描述，并通过脚本标记可操作实体。BAER数据集的应用领域主要集中在自然语言处理和叙事生成，旨在通过识别故事中的关键实体来增强文本理解和生成能力。

The BAER Dataset was jointly developed by Inworld.AI based in Berlin, Germany and the Max Planck Institute for Mathematics in the Sciences. It focuses on identifying actionable entities in interactive fiction to advance plot development. This dataset contains 5,550 descriptions, each containing at least one actionable entity, with a total size of 1.2 MB. The creation of the BAER Dataset involved collecting descriptions from multiple interactive fiction resources and labeling actionable entities through scripts. The BAER Dataset is primarily applied in the fields of natural language processing and narrative generation, aiming to enhance text understanding and generation capabilities by identifying key entities within stories.