{"url":"/dataset/perspectrum","name":"Perspectrum","full_name":null,"description_markdown":"Perspectrum is a dataset of claims, perspectives and evidence, making use of online debate websites to create the initial data collection, and augmenting it using search engines in order to expand and diversify the dataset. Crowd-sourcing was used to filter out noise and ensure high-quality data. The dataset contains 1k claims, accompanied with pools of 10k and 8k perspective sentences and evidence paragraphs, respectively.\r\n\r\nSource: [Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims](/paper/seeing-things-from-a-different-angle)","description_withheld":null,"homepage":"https://github.com/CogComp/perspectrum","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/seeing-things-from-a-different-angle","title":"Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims","first_author":"Sihao Chen","url":null},"license":null,"modalities":[],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Stance Detection","url":"/task/stance-detection","datasets_with_task":"/datasets/task/stance-detection"},{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[],"variants":["Perspectrum"],"data_loaders":[{"repo":"https://github.com/CogComp/perspectrum","url":"https://github.com/CogComp/perspectrum","frameworks":[]}],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/stance-detection-on-perspectrum","task":"Stance Detection","dataset_variant":"Perspectrum","rows":1,"metrics":["F1"],"first_row_in_archive_order":{"model":"TESTED","paper":"/paper/topic-guided-sampling-for-data-efficient","metrics":{"F1":"83.11"},"code_links":[{"title":"copenlu/TESTED","url":"https://github.com/copenlu/TESTED"},{"title":"copenlu/TESTED","url":"https://github.com/copenlu/TESTED/blob/main/README.md"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/topic-guided-sampling-for-data-efficient","title":"Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection","date":"2023-06-01","rows_on_this_dataset":1,"code_links":2,"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."}