{"url":"/dataset/spot","name":"SPOT","full_name":"Sentiment Polarity Annotations Dataset","description_markdown":"The SPOT dataset contains 197 reviews originating from the Yelp'13 and IMDB collections ([1][2]), annotated with segment-level polarity labels (positive/neutral/negative). Annotations have been gathered on 2 levels of granulatiry:\r\n\r\n- Sentences\r\n- Elementary Discourse Units (EDUs), i.e. sub-sentence clauses produced by a state-of-the-art RST parser\r\n\r\nThis dataset is intended to aid sentiment analysis research and, in particular, the evaluation of methods that attempt to predict sentiment on a fine-grained, segment-level basis.\r\n\r\nSource: [SPOT](https://github.com/EdinburghNLP/spot-data)","description_withheld":null,"homepage":"https://github.com/EdinburghNLP/spot-data)","introduced_date":"2017-11-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/multiple-instance-learning-networks-for-fine","title":"Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis","first_author":"Stefanos Angelidis","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Multiple Instance Learning","url":"/task/multiple-instance-learning","datasets_with_task":"/datasets/task/multiple-instance-learning"},{"name":"Discourse Parsing","url":"/task/discourse-parsing","datasets_with_task":"/datasets/task/discourse-parsing"}],"languages":[],"variants":["SPOT"],"data_loaders":[{"repo":"https://github.com/EdinburghNLP/spot-data","url":"https://github.com/EdinburghNLP/spot-data","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}