HELP
Introduced by Yanaka et al. in HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
The HELP dataset is an automatically created natural language inference (NLI) dataset that embodies the combination of lexical and logical inferences focusing on monotonicity (i.e., phrase replacement-based reasoning). The HELP (Ver.1.0) has 36K inference pairs consisting of upward monotone, downward monotone, non-monotone, conjunction, and disjunction.
Source: HELPBenchmarks
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Help, Anna! (HANNA)
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