{"url":"/dataset/csabstrcut-dataset","name":"CSAbstruct Dataset","full_name":null,"description_markdown":"CSAbstruct is a new dataset of annotated computer science abstracts with sentence labels according to their rhetorical roles. The key difference between this dataset and PUBMED-RCT is that PubMed abstracts are written according to a predefined structure, whereas computer science papers are free-form. Therefore, there is more variety in writing styles in CSABSTRUCT. CSABSTRUCT is collected from the Semantic Scholar corpus (Ammar et al., 2018). Each sentence is annotated by 5 workers on the Figure-eight platform,6 with one of 5 categories {BACKGROUND, OBJECTIVE, METHOD, RESULT, OTHER}.\r\n\r\nSource: [Pretrained Language Models for Sequential Sentence Classification](https://arxiv.org/pdf/1909.04054.pdf)","description_withheld":null,"homepage":"https://github.com/allenai/sequential_sentence_classification","introduced_date":"2019-09-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/pretrained-language-models-for-sequential","title":"Pretrained Language Models for Sequential Sentence Classification","first_author":"Arman Cohan","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Sentence Classification","url":"/task/sentence-classification","datasets_with_task":"/datasets/task/sentence-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CSAbstruct Dataset"],"data_loaders":[{"repo":"https://github.com/allenai/sequential_sentence_classification","url":"https://github.com/allenai/sequential_sentence_classification","frameworks":[]}],"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."}