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.
WikiNLDB is a novel dataset for training Natural Language Databases (NLDBs) which is generated by transforming structured data from Wikidata into natural language facts and queries.