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 VIriors Action Recognition Challenge uses a subset of the UCF101 action recognition dataset:
Train set: ~4.8K clips. Validation set: ~4.7K clips. Test set: ~3.8K clips.