{"url":"/dataset/restaurant-acos","name":"Restaurant-ACOS","full_name":null,"description_markdown":"The Restaurant-ACOS dataset is constructed based on the SemEval 2016 Restaurant dataset (Pontiki et al., 2016) and its expansion datasets (Fan et al., 2019; Xu et al., 2020).\r\nThe SemEval 2016 Restaurant dataset (Pontiki et al., 2016) was annotated with explicit and implicit aspects, categories, and sentiment. (Fan et al., 2019; Xu et al., 2020) further added the opinion annotations. We integrate their annotations to construct aspect-category-opinion-sentiment quadruples and further annotate the implicit opinions. The Restaurant-ACOS dataset contains 2286 sentences with 3658 quadruples.\r\nIt is worth noting that the Restaurant-ACOS is available for all subtasks in ABSA, including aspect-based sentiment classification, aspect-sentiment pair extraction, aspect-opinion pair extraction, aspect-opinion sentiment triple extraction, aspect-category-sentiment triple extraction, etc.","description_withheld":null,"homepage":"https://github.com/NUSTM/ACOS/tree/main/data/Restaurant-ACOS","introduced_date":"2021-08-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/aspect-category-opinion-sentiment-quadruple","title":"Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions","first_author":"Hongjie Cai","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":"Aspect-Based Sentiment Analysis (ABSA)","url":"/task/aspect-based-sentiment-analysis","datasets_with_task":"/datasets/task/aspect-based-sentiment-analysis"},{"name":"Aspect-Category-Opinion-Sentiment Quadruple Extraction","url":"/task/aspect-category-opinion-sentiment-quadruple","datasets_with_task":"/datasets/task/aspect-category-opinion-sentiment-quadruple"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Restaurant-ACOS"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/aspect-category-opinion-sentiment-quadruple","task":"Aspect-Category-Opinion-Sentiment Quadruple Extraction","dataset_variant":"Restaurant-ACOS","rows":2,"metrics":["F1"],"first_row_in_archive_order":{"model":"Extract-Classify-ACOS","paper":"/paper/aspect-category-opinion-sentiment-quadruple","metrics":{"F1":"44.61"},"code_links":[{"title":"nustm/acos","url":"https://github.com/nustm/acos"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/aspect-category-opinion-sentiment-extraction","title":"Aspect-Category-Opinion-Sentiment Extraction Using Generative Transformer Model","date":"2023-01-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/aspect-category-opinion-sentiment-quadruple","title":"Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions","date":"2021-08-01","rows_on_this_dataset":1,"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."}