Datasets › SST-5
SST-5
The SST-5, also known as the Stanford Sentiment Treebank with 5 labels, is a dataset used for sentiment analysis. The SST-5 dataset consists of 11,855 single sentences extracted from movie reviews¹. It includes a total of 215,154 unique phrases from parse trees, each annotated by 3 human judges¹. Each phrase is labeled as either negative, somewhat negative, neutral, somewhat positive, or positive. This is why it's referred to as SST-5 or SST fine-grained.
Benchmarks archive 2025-07-28
All 2 leaderboards 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Explanation Fidelity Evaluation | SST-5 | GCN fidelity 0.393 | SAME: Uncovering GNN Black Box with Structure-aware... | same2023neurips/same | 1 | Compare |
| Few-Shot Text Classification | SST-5 | SetFit + OCD Accuracy 0.478 | OCD: Learning to Overfit with Conditional Diffusion Models | shaharlutatipersonal/ocd | 1 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers 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 338. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations | 1 | 1 | 21 Sep 2023 | not harvested |
| OCD: Learning to Overfit with Conditional Diffusion Models | 1 | 1 | 2 Oct 2022 | ran 0 of 2 samples (2 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SST-5 Fine-grained classification
- SST-5
2 variant names, as the archive lists them.
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