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.
WMT 2020 is a collection of datasets used in shared tasks of the Fifth Conference on Machine Translation. The conference builds on a series of annual workshops and conferences on Statistical Machine Translation.
The conference featured ten shared tasks:
a news translation task,
a biomedical translation task,
a similar language translation task,
an unsupervised and very low resource translation task,
an automatic post-editing task,
a metrics task (assess MT quality given reference translation),
a quality estimation task (assess MT quality without access to any reference),