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Stanford Natural Language Inference (SNLI) dataset

The Stanford Natural Language Inference (SNLI) dataset consists of pairs of sequences that represent certain semantic attributes. In this work, the authors ignore the labels and focus on generating sequences using the 5000 most common words, resulting in 500k sequences.

Data and Resources

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Cite this as

Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning (2024). Dataset: Stanford Natural Language Inference (SNLI) dataset. https://doi.org/10.57702/93m750ve

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Additional Info

Field	Value
Created	November 25, 2024
Last update	November 25, 2024
Defined In	https://doi.org/10.18653/v1/2020.lrec-1.576
Citation	https://doi.org/10.48550/arXiv.1911.03668
Author	Samuel R. Bowman
More Authors	Gabor Angeli Christopher Potts Christopher D. Manning
Homepage	https://nlp.stanford.edu/projects/snli/