SAIBench

SAIBench是一个专为科学AI领域设计的基准系统，由中国科学院计算技术研究所开发。该数据集旨在统一不同科学领域中AI解决方案的开发和评估，通过SAIL这一特定领域语言，将研究问题、AI模型、排名标准及软硬件配置模块化，以实现灵活适应不同视角下的问题、模型和评估方法。SAIBench的应用领域广泛，包括数学问题解决、模式匹配、预测、人工制品增强、控制及假设与确认等，旨在通过AI技术优化科学研究工作流程，解决可计算验证的科学任务。

SAIBench is a benchmark system specifically designed for the scientific AI domain, developed by the Institute of Computing Technology, Chinese Academy of Sciences. This benchmark aims to unify the development and evaluation of AI solutions across various scientific disciplines. Through SAIL, a domain-specific language, it modularizes research problems, AI models, ranking criteria, and software and hardware configurations, enabling flexible adaptation to problems, models, and evaluation methods from different perspectives. SAIBench has a wide range of application areas, including mathematical problem-solving, pattern matching, prediction, artifact enhancement, control, hypothesis and confirmation, and so on. It is designed to optimize the workflow of scientific research through AI technologies and address computationally verifiable scientific tasks.