RuDaS

RuDaS是由IBM研究院开发的合成数据集，用于规则学习和评估工具。该数据集包含196个子集，涵盖不同规模和复杂度的规则与事实。RuDaS旨在解决现有数据集在规则学习评估中的不足，如覆盖面不全和可扩展性问题。数据集通过精细的参数化设计，支持对规则学习系统的细致分析，适用于多种规则学习场景，帮助研究人员优化和开发新的规则学习方法。RuDaS is a synthetic dataset developed by IBM Research for rule learning and evaluation tools. It includes 196 subsets covering rules and facts with varying scales and complexities. RuDaS is designed to address the limitations of existing datasets in rule learning evaluation, such as incomplete coverage and scalability issues. Featuring meticulous parameterization, the dataset enables fine-grained analysis of rule learning systems, is applicable to diverse rule learning scenarios, and helps researchers optimize and develop novel rule learning methods.