{"url":"/dataset/gasp","name":"GASP","full_name":null,"description_markdown":"**GASP** is a dataset composed by a list of cited abstracts associated with the corresponding source abstract. The dataset is composed by a training set of 100000 elements, a test set and a validation set of 10000 each.\nThe goal is to generate a paper abstract given cited paper's abstracts and model the human creativity behind the process.\n\nSource: [https://github.com/ART-Group-it/GASP](https://github.com/ART-Group-it/GASP)","description_withheld":null,"homepage":"https://github.com/ART-Group-it/GASP","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/gasp-generating-abstracts-of-scientific","title":"GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers","first_author":"Fabio Massimo Zanzotto","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["GASP"],"data_loaders":[{"repo":"https://github.com/ART-Group-it/GASP","url":"https://github.com/ART-Group-it/GASP","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."}