{"url":"/dataset/roast","name":"ROAST","full_name":"Review level Opinion Aspect Sentiment Target Joint Detection for ABSA","description_markdown":"This repository has a review-level multidomain multilingual dataset for Aspect-based Sentiment Analysis(ABSA) for the paper ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection.","description_withheld":null,"homepage":"https://github.com/RiTUAL-UH/ROAST-ABSA","introduced_date":"2024-05-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/roast-review-level-opinion-aspect-sentiment","title":"ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA","first_author":"Siva Uday Sampreeth Chebolu","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 Extraction","url":"/task/aspect-extraction","datasets_with_task":"/datasets/task/aspect-extraction"},{"name":"Aspect Category Detection","url":"/task/aspect-category-detection","datasets_with_task":"/datasets/task/aspect-category-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Hindi","url":"/datasets/language/hindi"},{"name":"Telugu","url":"/datasets/language/telugu"}],"variants":["ROAST"],"data_loaders":[],"num_papers_in_archive":1,"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."}