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.
D-OCC is a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. It is used to study common grounding in dynamic environments.