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.
Wikidata-14M is a recommender system dataset for recommending items to Wikidata editors. It consists of 220,000 editors responsible for 14 million interactions with 4 million items.