Synthetic and Pseudo-Real Data

该数据集包含了由随机图生成的合成数据以及通过贝叶斯网络拟合现实世界数据集产生的伪真实数据。数据集中涵盖了各种类型的图、不同参数形式的因果关系以及多种随机类型分配。这些数据集是使用不同参数和随机分配生成的，规模多样。其任务旨在进行因果结构学习和因果发现。

This dataset collection contains synthetic data generated from random graphs and pseudo-real data derived by fitting Bayesian networks to real-world datasets. It covers various types of graphs, causal relationships with different parameterized forms, and diverse random type assignments. The datasets within this collection are generated with varying parameters and random assignments, and have diverse scales. This collection is designed for causal structure learning and causal discovery tasks.