TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/SST

SST

Stanford Sentiment Treebank

TextsUnknownIntroduced 2013-10-01

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

Out-of-Distribution Detection/AUROCOut-of-Distribution Detection/FPR95

Related Benchmarks

SST-2/Classification/AccuracySST-2/Classification/Test AccuracySST-2/Text Classification/AccuracySST-2 Binary classification/Few-Shot Learning/AccSST-2 Binary classification/Meta-Learning/AccSST-2 Binary classification/Sentiment Analysis/AccuracySST-2 Binary classification/Sentiment Analysis/Attack Success RateSST-2 Binary classification/Sentiment Analysis/Dev AccuracySST-3/Sentiment Analysis/Macro F1SST-5/Classification/AccuracySST-5/Explainable artificial intelligence/fidelitySST-5/Few-Shot Text Classification/AccuracySST-5/Text Classification/AccuracySST-5 Fine-grained classification/Sentiment Analysis/AccuracySST-5 Fine-grained classification/Sentiment Analysis/Accuracy SST2/Explainable artificial intelligence/fidelityssTEM/Interactive Segmentation/Instance Average IoU

Statistics

Papers
2,354
Benchmarks
2

Links

Homepage

Tasks

Chinese Sentiment AnalysisClassificationExplanation Fidelity EvaluationFew-Shot LearningFew-Shot Text ClassificationOut-of-Distribution DetectionSentiment AnalysisText Classification