18 data sets from Table 1

该数据集此前已被其他研究使用，可用于进行与贝叶斯网络相关的各种实验。每个数据集都被划分为三个子集，总共涵盖了54个结构学习实验。这些实例的数量从226个到18万个不等，任务包括结构学习和缺失数据的填充。

This dataset collection has been previously used in other research works, and can be utilized for various experiments related to Bayesian networks. Each dataset is divided into three subsets, which collectively cover 54 structure learning experiments. The number of instances ranges from 226 to 180,000, and the tasks include structure learning and missing data imputation.