{"url":"/dataset/sst-3","name":"SST-3","full_name":"Stanford Sentiment Treebank: 3-way","description_markdown":"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'.","description_withheld":null,"homepage":"https://nlp.stanford.edu/sentiment/index.html","introduced_date":"2013-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/recursive-deep-models-for-semantic","title":"Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank","first_author":"Richard Socher","url":null},"license":{"name":"Apache 2.0","url":"https://github.com/cgpotts/cs224u/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Sentiment Classification","url":"/task/sentiment-classification","datasets_with_task":"/datasets/task/sentiment-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SST-3"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sentiment-analysis-on-sst-3","task":"Sentiment Analysis","dataset_variant":"SST-3","rows":11,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"GPT-4o-mini Fine-Tuned","paper":"/paper/electra-and-gpt-4o-cost-effective-partners","metrics":{"Macro F1":"75.68"},"code_links":[{"title":"jbeno/sentiment","url":"https://github.com/jbeno/sentiment"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/electra-and-gpt-4o-cost-effective-partners","title":"ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis","date":"2024-12-29","rows_on_this_dataset":11,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}