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Current NLP datasets targeting ambiguity can be solved by a native speakerwith relative ease. We present Cryptonite, a large-scale dataset based oncryptic crosswords, which is both linguistically complex and naturally sourced.Each example in Cryptonite is a cryptic clue, a short phrase or sentence with amisleading surface reading, whose solving requires disambiguating semantic,syntactic, and phonetic wordplays, as well as world knowledge. Cryptic cluespose a challenge even for experienced solvers, though top-tier experts cansolve them with almost 100% accuracy. Cryptonite is a challenging task forcurrent models; fine-tuning T5-Large on 470k cryptic clues achieves only 7.6%accuracy, on par with the accuracy of a rule-based clue solver (8.6%).

Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language