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.
ReactionGIF is an affective dataset of 30K tweets which can be used for tasks like induced sentiment prediction and multilabel classification of induced emotions.