Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
97 synthetic datasets consists of 97 datasets (as illustrated in the figure) and can be used to test graph-based clustering algorithms.
https://github.com/deric/clustering-benchmark