PAWS (Paraphrase Adversaries from Word Scrambling)
Introduced by Zhang et al. in PAWS: Paraphrase Adversaries from Word Scrambling
Paraphrase Adversaries from Word Scrambling (PAWS) is a dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the other one based on the Quora Question Pairs (QQP) dataset.
Source: PAWSPapers
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