Benchmark Dataset for Compression for 2-Parameter Persistent Homology

This dataset is a collection of benchmark data sets used in the experiments of the paper
"Compression for 2-Parameter Persistent Homology"
by Ulderico Fugacci, Michael Kerber, and Alexander Rolle.

The detailed description of the datasets can be found in that paper. The file format is partially firep (as described in the Rivet library here) and partially scc2020 files (as described here).
The repository also contains the scripts that generated the instances and to run the benchmarks from the cited paper. Executing them requires several additional libraries: for generating geometric examples, CGAL is required. For the benchmarks, mpfree, multi-chunk, phat and Rivet are required.

本数据集为Ulderico Fugacci、Michael Kerber与Alexander Rolle所撰写的论文《面向2参数持久同调的压缩方法》（"Compression for 2-Parameter Persistent Homology"）的实验所用基准数据集合集。该数据集的详细说明可参见上述论文。

该数据集的文件格式部分采用firep格式（详见此处提及的Rivet库（Rivet library）文档），部分采用scc2020格式（详见此处说明）。

本代码仓库还包含了复现上述引用论文中实验实例生成与基准测试运行所需的脚本。运行这些脚本需依赖多个额外库：若要生成几何示例，则需安装CGAL库（CGAL）；若要运行基准测试，则需安装mpfree、multi-chunk、phat及Rivet库。