We first identify premise-hypothesis pairs from the MNLI dataset that contain antonym pairs (e.g., dirty appears in p and clean in h) and generate all possible patterns of negation with the two mutation strategies: swapping antonyms and adding explicit negation.
we use each of lexical negation, explicit negation, and their combination to mutate the premise and/or the hypothesis.