Com2Sense (Complementary Commonsense)
Introduced by Singh et al. in COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Complementary Commonsense (Com2Sense) is a dataset for benchmarking commonsense reasoning ability of NLP models. This dataset contains 4k statement true/false sentence pairs. The dataset is crowdsourced and enhanced with an adversarial model-in-the-loop setup to incentivize challenging samples. To facilitate a systematic analysis of commonsense capabilities, the dataset is designed along the dimensions of knowledge domains, reasoning scenarios and numeracy.
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