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.
An unsupervised dataset for co-reference resolution. Presented in the publication: Kocijan et. al, WikiCREM: A Large Unsupervised Corpus for Coreference Resolution, presented at EMNLP 2019.