sst5
收藏OpenML2025-02-24 更新2025-12-20 收录
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https://www.openml.org/search?type=data&sort=runs&status=active&id=46689
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资源简介：
The SST-5, also known as the Stanford Sentiment Treebank with 5 labels, is a dataset used for sentiment analysis. The SST-5 dataset consists of 11,855 single sentences extracted from movie reviews. It includes a total of 215,154 unique phrases from parse trees, each annotated by 3 human judges. Each phrase is labeled as either negative, somewhat negative, neutral, somewhat positive, or positive. This is why it's referred to as SST-5 or SST fine-grained.
For this dataset we dropped the column 'label' and kept the column 'label_text' which contains the sentiment labels.
paper_url = "https://arxiv.org/pdf/1509.01626"
original_data_url = "https://huggingface.co/datasets/SetFit/sst5?library=datasets"
创建时间：
2025-02-24
