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.
The two Coiling Spiral is a 2d classification dataset composed of two classes; each spiral corresponds to one class.
Gaussian noise can be added resulting in a greater thickness of the spiral.