{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/samsum-corpus-a-human-annotated-dialogue-1","title":"SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization","arxiv_id":"1911.12237","date":"2019-11-27","proceeding":"WS 2019 11","authors":["Bogdan Gliwa","Iwona Mochol","Maciej Biesek","Aleksander Wawer"],"abstract":"This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries. We investigate the challenges it poses for automated summarization by testing several models and comparing their results with those obtained on a corpus of news articles. We show that model-generated summaries of dialogues achieve higher ROUGE scores than the model-generated summaries of news -- in contrast with human evaluators' judgement. This suggests that a challenging task of abstractive dialogue summarization requires dedicated models and non-standard quality measures. To our knowledge, our study is the first attempt to introduce a high-quality chat-dialogues corpus, manually annotated with abstractive summarizations, which can be used by the research community for further studies.","url_abs":"https://arxiv.org/abs/1911.12237v2","url_pdf":"https://arxiv.org/pdf/1911.12237v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"samsum-corpus-a-human-annotated-dialogue-1","repo_url":"https://github.com/Chen-Wang-CUHK/DialSum-with-SUFM-and-FR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"samsum-corpus-a-human-annotated-dialogue-1","repo_url":"https://github.com/xcfcode/msamsum","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"abstractive-dialogue-summarization","task_name":"Abstractive Dialogue Summarization"},{"task_slug":"abstractive-text-summarization","task_name":"Abstractive Text Summarization"},{"task_slug":"articles","task_name":"Articles"},{"task_slug":"dialogue-summary","task_name":"dialogue summary"}],"methods":[],"datasets_introduced":[{"slug":"samsum-corpus","name":"SAMSum","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1911.12237","atlas_url":"https://app.syntology.ai/?focus=1911.12237","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}