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.
#chinahate dataset contains a total of 2,172,333 tweets hashtagged #china posted during the time it was collected. It is designed for the task of hate speech detection.