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.
CoSQA (Code Search and Question Answering) It includes 20,604 labels for pairs of natural language queries and codes, each annotated by at least 3 human annotators.