Stanford Sentiment Treebank v2

Dataset Card for Dataset Name Dataset Summary 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… See the full description on the dataset page:

Source: Hugging Face Hub (stanfordnlp/sst2). Metadata imported from the dataset’s Hub tags.