Datasets › SST
SST (Stanford Sentiment Treebank)
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and includes a total of 215,154 unique phrases from those parse trees, each annotated by 3 human judges.
Each phrase is labelled as either negative, somewhat negative, neutral, somewhat positive or positive. The corpus with all 5 labels is referred to as SST-5 or SST fine-grained. Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST-2 or SST binary.
Benchmarks archive 2025-07-28
All 6 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 | ||||
|---|---|---|---|---|---|---|
| Sentiment Analysis | SST-2 Binary classification | T5-11B Accuracy 97.5 | Exploring the Limits of Transfer Learning with a Unified... | huggingface/transformers +56 | 87 | Compare |
| Sentiment Analysis | SST-5 Fine-grained classification | Llama-3.3-70B + CAPO Accuracy 62.27 | CAPO: Cost-Aware Prompt Optimization | finitearth/promptolution +1 | 31 | Compare |
| Explanation Fidelity Evaluation | SST2 | GCN fidelity 0.373 | SAME: Uncovering GNN Black Box with Structure-aware... | same2023neurips/same | 1 | Compare |
| Few-Shot Learning | SST-2 Binary classification | DART Acc 93.5(0.5) | Differentiable Prompt Makes Pre-trained Language Models... | zjunlp/DART +3 | 1 | Compare |
| Out-of-Distribution Detection | SST | 2-Layered GRU AUROC 99.7 | An Effective Baseline for Robustness to Distributional Shift | Sushil-Thapa/Abstention-OoD | 1 | Compare |
| Text Classification | SST2 | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
30 shown of 84 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 2,354. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 84 is in the JSON twin.
Dataset loaders archive 2025-07-28
7 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SST-2
- SST-2 Binary classification Dev
- SST-5
- sst2-es-mt
- SST2
- SST-2 Binary classification
- SST-5 Fine-grained classification
- SST
8 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections