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.
SNARE, short for ShapeNet Annotated with Referring Expressions, is a benchmark requires a model to choose which of two objects is being referenced by a natural language description.