{"url":"/dataset/laptop-acos","name":"Laptop-ACOS","full_name":null,"description_markdown":"Laptop-ACOS is a brand new Laptop dataset collected from the Amazon platform in the years 2017 and 2018 (covering ten types of laptops under six brands such as ASUS, Acer, Samsung, Lenovo, MBP, MSI, and so on). It contains 4,076 review sentences, much larger than the SemEval Laptop datasets.\r\nFor Laptop-ACOS, we annotate the four elements and their corresponding quadruples all by ourselves. We employ the aspect categories defined in the SemEval 2016 Laptop dataset. The Laptop-ACOS dataset contains 4076 sentences with 5758 quadruples. As we have mentioned, a large percentage of the quadruples contain **implicit aspects or implicit opinions** .  By comparing two datasets, it can be observed that Laptop-ACOS has a higher percentage of implicit opinions than [Restaurant-ACOS](https://paperswithcode.com/dataset/restaurant-acos) . It is worth noting that the Laptop-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/Laptop-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":["Laptop-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-1","task":"Aspect-Category-Opinion-Sentiment Quadruple Extraction","dataset_variant":"Laptop-ACOS","rows":2,"metrics":["F1"],"first_row_in_archive_order":{"model":"Extract-Classify-ACOS","paper":"/paper/aspect-category-opinion-sentiment-quadruple","metrics":{"F1":"35.8"},"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":"2026-09-25T09:33:49+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."}