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ngwgsang/ViePAWS

ViePAWS ViePAWS is a Vietnamese adversarial benchmark for paraphrase identification under high lexical overlap. The dataset contains 11,062 Vietnamese sentence pairs designed to test whether models can distinguish semantic differences beyond surface-level similarity. Task Given two Vietnamese sentences, predict whether they are paraphrases: 1: Paraphrase 0: Non-paraphrase ViePAWS includes three fine-grained semantic perturbation types: Semantic Role Event… See the full description on the dataset page: https://huggingface.co/datasets/ngwgsang/ViePAWS.

Author / organizationngwgsang
Downloads269 (as reported by Hugging Face)
Likes0
Created8 April 2026
Last updated at source30 September 2026
vietnameseparaphrase-identificationadversarialvietnamese-nlp
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