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We present GENTLE, a new mixed-genre English challenge corpus totaling 17Ktokens and consisting of 8 unusual text types for out-of domain evaluation:dictionary entries, esports commentaries, legal documents, medical notes,poetry, mathematical proofs, syllabuses, and threat letters. GENTLE is manuallyannotated for a variety of popular NLP tasks, including syntactic dependencyparsing, entity recognition, coreference resolution, and discourse parsing. Weevaluate state-of-the-art NLP systems on GENTLE and find severe degradation forat least some genres in their performance on all tasks, which indicatesGENTLE's utility as an evaluation dataset for NLP systems.

GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation