Datasets › SST-3

SST-3 (Stanford Sentiment Treebank: 3-way)

Introduced by Richard Socher et al. in Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank1 Oct 2013 archive 2025-07-28

SST-5 is the Stanford Sentiment Treebank 5-way classification dataset (positive, somewhat positive, neutral, somewhat negative, negative). To create SST-3 (positive, neutral, negative), the 'somewhat positive' class was merged and treated as 'positive'. Similarly, the 'somewhat negative' class was merged and treated as 'negative'.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Sentiment Analysis SST-3 GPT-4o-mini Fine-Tuned Macro F1 75.68 ELECTRA and GPT-4o: Cost-Effective Partners for... jbeno/sentiment 11 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 10. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis 1 11 29 Dec 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • SST-3

1 variant name, as the archive lists them.

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