ViNLI (Vietnamese Natural Language Inference Dataset)

Introduced by Huynh et al. in ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference

A large-scale and high-quality corpus is necessary for studies on NLI for Vietnamese, which can be considered a low-resource language. In this paper, we introduce ViNLI (Vietnamese Natural Language Inference), an open-domain and high-quality corpus for evaluating Vietnamese NLI models, which is created and evaluated with a strict process of quality control. ViNLI comprises over 30,000 human-annotated premise-hypothesis sentence pairs extracted from more than 800 online news articles on 13 distinct topics.


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