This dataset contains naturally-occurring English sentences that feature non-trivial noun-verb ambiguity.
English part-of-speech taggers regularly make egregious errors related to noun-verb ambiguity, despite having achieved 97%+ accuracy on the WSJ Penn Treebank since 2002. These mistakes have been difficult to quantify and make taggers less useful to downstream tasks such as translation and text-to-speech synthesis.
The dataset contains sentences in CoNLL format. Each sentence has a single token that has been manually annotated as either VERB or NON-VERB. The sentences come from multiple domains. Where applicable, the url of the source page for the sentence is included in a comment line before the sentence.