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.
LC-QuAD is a Large Question Answering dataset with 30,000 pairs of questions and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version.