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撰写的论文《2参数持久同调压缩（Compression for 2-Parameter Persistent Homology）》中实验所使用的基准数据集合集。
该数据集的详细说明可参阅上述论文。
其文件格式部分采用firep格式（详见此处提及的Rivet库说明），部分采用scc2020格式（详见此处说明）。
本仓库还包含用于生成数据集实例并运行上述论文中基准测试的脚本。运行这些脚本需安装若干额外依赖库：生成几何示例需依赖CGAL库；运行基准测试则需依赖mpfree、multi-chunk、phat及Rivet库。