SST

The dataset used in the paper is the Stanford Sentiment Treebank (SST) dataset, which contains standard train/dev/test sets and two subtasks: binary sentence classification or fine-grained classification of five classes.

Data and Resources

Cite this as

Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling (2024). Dataset: SST. https://doi.org/10.57702/o5s0nejw

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1901.10787
Citation
  • https://doi.org/10.48550/arXiv.1607.04492
  • https://doi.org/10.48550/arXiv.1904.02228
  • https://doi.org/10.48550/arXiv.2305.06212
  • https://doi.org/10.48550/arXiv.1611.09100
Author Dani Yogatama
More Authors
Phil Blunsom
Chris Dyer
Edward Grefenstette
Wang Ling
Homepage https://www.aclweb.org/anthology/D12-1002