OCB (Object Clustering Benchmark)

OCB数据集，由计算机科学实验室(LIMOS)创建，是一个用于评估对象导向数据库(OODBs)性能的通用基准。该数据集包含20000条记录，设计用于测试OODBs中的聚类策略性能。数据集内容丰富，包含多种类和引用类型，支持多种应用场景。创建过程中，数据集通过多次实验和模拟进行验证，确保其通用性和有效性。OCB数据集主要应用于数据库性能评估，帮助设计师和用户选择合适的OODBMS技术或进行系统调优。

The OCB dataset, created by the Computer Science Laboratory (LIMOS), is a general-purpose benchmark for evaluating the performance of object-oriented databases (OODBs). It contains 20,000 records and is designed to test the performance of clustering strategies within OODBs. The dataset features rich content, encompassing multiple categories and reference types, and supports a wide range of application scenarios. During its creation, the dataset was validated via multiple experiments and simulations to ensure its generality and effectiveness. The OCB dataset is primarily utilized for database performance evaluation, assisting designers and users in selecting appropriate OODBMS technologies or conducting system tuning.