{"url":"/dataset/poc","name":"PoC","full_name":"Points of correspondence","description_markdown":"A dataset containing the documents, source and fusion sentences, and human annotations of points of correspondence between sentences. The dataset bridges the gap between coreference resolution and summarization.\r\n\r\nSource: [Understanding Points of Correspondence between Sentences for Abstractive Summarization](/paper/understanding-points-of-correspondence)","description_withheld":null,"homepage":"https://github.com/ucfnlp/points-of-correspondence","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/understanding-points-of-correspondence","title":"Understanding Points of Correspondence between Sentences for Abstractive Summarization","first_author":"Logan Lebanoff","url":null},"license":null,"modalities":[],"tasks":[{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"},{"name":"Coreference Resolution","url":"/task/coreference-resolution","datasets_with_task":"/datasets/task/coreference-resolution"},{"name":"Sentence Fusion","url":"/task/sentence-fusion","datasets_with_task":"/datasets/task/sentence-fusion"}],"languages":[],"variants":["PoC"],"data_loaders":[{"repo":"https://github.com/ucfnlp/points-of-correspondence","url":"https://github.com/ucfnlp/points-of-correspondence","frameworks":[]}],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}