{"url":"/dataset/mams","name":"MAMS","full_name":"Multi Aspect Multi-Sentiment","description_markdown":"MAMS is a challenge dataset for aspect-based sentiment analysis (ABSA), in which each sentences contain at least two aspects with different sentiment polarities. MAMS dataset contains two versions: one for aspect-term sentiment analysis (ATSA) and one for aspect-category sentiment analysis (ACSA).\r\n\r\nSource: [MAMS](https://github.com/siat-nlp/MAMS-for-ABSA)","description_withheld":null,"homepage":"https://github.com/siat-nlp/MAMS-for-ABSA","introduced_date":"2019-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-challenge-dataset-and-effective-models-for","title":"A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis","first_author":"Qingnan Jiang","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Aspect-Based Sentiment Analysis (ABSA)","url":"/task/aspect-based-sentiment-analysis","datasets_with_task":"/datasets/task/aspect-based-sentiment-analysis"}],"languages":[],"variants":["MAMS"],"data_loaders":[{"repo":"https://github.com/siat-nlp/MAMS-for-ABSA","url":"https://github.com/siat-nlp/MAMS-for-ABSA","frameworks":["pytorch"]}],"num_papers_in_archive":46,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/aspect-based-sentiment-analysis-on-mams","task":"Aspect-Based Sentiment Analysis (ABSA)","dataset_variant":"MAMS","rows":5,"metrics":["Acc","Macro-F1"],"first_row_in_archive_order":{"model":"YORO","paper":"/paper/you-only-read-once-constituency-oriented","metrics":{"Acc":"86.08","Macro-F1":"85.51"},"code_links":[{"title":"gdufsnlp/YORO","url":"https://github.com/gdufsnlp/YORO"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/you-only-read-once-constituency-oriented","title":"You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification","date":"2024-03-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/aspect-based-sentiment-analysis-with-type","title":"Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble","date":"2021-06-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/exploiting-typed-syntactic-dependencies-for","title":"Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network","date":"2020-02-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-challenge-dataset-and-effective-models-for","title":"A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis","date":"2019-11-01","rows_on_this_dataset":2,"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."}