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.
Twitter-MEL is a multimodal entity linking (MEL) dataset built from Twitter. The dataset consists of tweets that had both text and images, with a total of 2.6M timeline tweets and 20k entities.