stanfordnlp/sst2

Name: stanfordnlp/sst2
Creator: stanfordnlp
License: ["unknown"]
Keywords: huggingface, task_categories:text-classification, task_ids:sentiment-classification, annotations_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:original, language:en, license:unknown, text-classification

Text Classification · stanfordnlp· 41.5K

["unknown"] 4.8 MB

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: https://huggingface.co/datasets/stanfordnlp/sst2.

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Dataset details

Task

Text Classification

Language

License

["unknown"]

Size

4.8 MB

Rows / images

70.0K

Classes

Creator

stanfordnlp

Downloads

41.5K

Source

huggingface_datasets

Updated

2024-01-04

About stanfordnlp/sst2

Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions