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.
TASTEset Recipe Dataset and Food Entities Recognition is a dataset for Named Entity Recognition (NER) which consists of 700 recipes with more than 13,000 entities to extract.