MaHaWo/causal_sets_5k

该数据集包含以下类型的因果集合：分层、嵌入具有复杂切割的多项式流形、嵌入多项式流形、随机（满足因果集合要求的随机DAG）、具有不同单元格的网格状（六边形、菱形、三角形、矩形、菱形、斜方形）、合并（随机和多项式）以及破坏（多项式数据集，其中一些边被随机翻转）。数据集用于训练分类和编码因果集合的模型。zip文件包含每种类型因果集合的zarr存储、定义创建数据所用参数的.yaml配置文件以及用于创建数据的Julia脚本`create_data.jl`。

This dataset contains causal sets of types: layered, embedded in polynomial manifold with complex cuts, embedded in polynomial manifold, random (random DAG fulfilling the cset requirements), grid-like with different cells (hexagonal, rhombic, triangular, rectangular, rhombic, oblique), merged (random and polynomial), and destroyed (polynomial dataset with some edges being flipped randomly). The dataset is used to train models for classifying and encoding causal sets. The zip file contains a zarr store for each type of causal sets, a .yaml config file for each that defines all parameters used to create the data, and a Julia script `create_data.jl` that has been used to create the data.