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.
Image Caption Quality Dataset is a dataset of crowdsourced ratings for machine-generated image captions. It contains more than 600k ratings of image-caption pairs.