Causal3DIdent

该数据集名为Causal3DIdent，主要用于基于三维图像的表征学习，特别关注因果关系。此外，该数据集还用于展示具有拓扑约束的潜在ANM模型的有效性，其任务属于无监督表征学习。

This dataset, named Causal3DIdent, is primarily used for 3D image-based representation learning, with a particular focus on causal relationships. Furthermore, it is also employed to demonstrate the effectiveness of latent ANM models with topological constraints, and the tasks related to this dataset fall under the category of unsupervised representation learning.