SC2EGSet:StarCraft II电子竞技重播和游戏状态数据集
Andrzej Białecki1, Natalia Jakubowska2, Paweł Dobrowolski3
1Warsaw University of Technology, Electronics and Information Technology, Warsaw, Poland. andrzej.bialecki94@gmail.com.
Scientific data
|September 8, 2023
概括
这项研究发布了StarCraft II电子竞技比赛的大量数据集,包括开源分析工具. 这个资源使人工智能,机器学习和体育科学研究能够使用真实世界的游戏数据.
科学领域:
- 计算机科学 计算机科学
- 运动科学 运动科学 运动科学
- 数据科学数据科学数据科学
背景情况:
- 电子竞技是一个快速增长的领域,由于其固有的数据丰富性,为数据驱动的研究提供了独特的机会.
- 电子竞技现有的研究受限于可用于高级分析的全面,结构化的数据集的可用性.
研究的目的:
- 为科学调查提供StarCraft II电子竞技比赛的大规模,公开可访问的数据集.
- 为了促进电子竞技数据在统计和机器学习 (ML) 建模中的使用,与实验室测量可比.
- 分享开发用于数据处理和分析的开源工具,支持在科学研究中更广泛地采用.
主要方法:
- 自2016年以来,收集和处理了来自2016年以来各大锦标赛的17930个StarCraft II重播文件的游戏状态信息.
- 开发和开源的自定义工具,包括PyTorch和PyTorch闪电API抽象,用于数据加载和建模.
- 将数据组织成55个"重播包",以方便访问和使用.
主要成果:
- 一个实质性的,公开可用的数据集的StarCraft II电子竞技数据已经策划.
- 该数据集包括原始和预处理的游戏状态信息,为研究人员提供了宝贵的资源.
- 提供相关的开源软件工具,以帮助数据分析和模型开发.
结论:
- 发布的数据集和工具显著降低了电子竞技科学研究的障碍.
- 预计这项资源将刺激人工智能 (AI),ML,心理学,人机交互 (HCI) 和体育分析方面的进步.
- 高质量的电子竞技数据的可用性使得监督和自我监督的学习任务中的新研究途径成为可能.
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