CoarseWSD-20
Introduced by Loureiro et al. in Analysis and Evaluation of Language Models for Word Sense Disambiguation
The CoarseWSD-20 dataset is a coarse-grained sense disambiguation dataset built from Wikipedia (nouns only) targeting 2 to 5 senses of 20 ambiguous words. It was specifically designed to provide an ideal setting for evaluating Word Sense Disambiguation (WSD) models (e.g. no senses in test sets missing from training), both quantitively and qualitatively.
Source: https://github.com/danlou/bert-disambiguationPapers
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