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.
Scan Entities in 3D (ScanEnts3D) is a large-scale dataset which provides explicit correspondences between 369k objects across 84k natural referentural sentences, covering 705 real-world scenes.