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.
A-OKVQA is crowdsourced visual question answering dataset composed of a diverse set of about 25K questions requiring a broad base of commonsense and world knowledge to answer.