Samsoup/SST5 dataset hosted on Hugging Face and contributed by the HF Datasets community

contemmcm/sst5 dataset hosted on Hugging Face and contributed by the HF Datasets community

datasaur-dev/experiment-sst5 dataset hosted on Hugging Face and contributed by the HF Datasets community

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.

FunCoup network information for gene sst5 in Danio rerio. A0A8M9PRQ6_DANRE Somatostatin-1-like

davidadamczyk/sst5-balanced dataset hosted on Hugging Face and contributed by the HF Datasets community

ICKD/sst5-bert dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "sst5-mapped-extreme-converted"

More Information needed

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'.