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 benchmark for VPData, the largest video inpainting dataset, which comprises over 390K clips (> 866.7 hours) and features precise masks and detailed video captions.