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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

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

DOI retrieved: November 25, 2024

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/