Texts

PAWS

Paraphrase Adversaries from Word Scrambling

Introduced in PAWS: Paraphrase Adversaries from Word Scrambling2019

About this Dataset

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: PAWS

Source: PAWS: Paraphrase Adversaries from Word Scrambling

Dataset Variants

PAWS

Papers1

PAWS: Paraphrase Adversaries from Word Scrambling

PAWS (Paraphrase Adversaries from Word Scrambling), a new dataset with 108,463 well-formed paraphrase and non-paraphrase pairs with high lexical overlap, is introduced, providing an effective instrument for driving further progress on models that better exploit structure, context, and pairwise comparisons.

Dataset Loaders

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