{"url":"/dataset/pn-summary","name":"pn-summary","full_name":null,"description_markdown":"Pn-summary is a dataset for Persian abstractive text summarization.\n\nSource: [https://arxiv.org/abs/2012.11204](https://arxiv.org/abs/2012.11204)\nImage Source: [https://github.com/hooshvare/pn-summary](https://github.com/hooshvare/pn-summary)","description_withheld":null,"homepage":"https://github.com/hooshvare/pn-summary","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/leveraging-parsbert-and-pretrained-mt5-for","title":"Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization","first_author":"Mehrdad Farahani","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Summarization","url":"/task/text-summarization","datasets_with_task":"/datasets/task/text-summarization"},{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"}],"languages":[{"name":"Persian","url":"/datasets/language/persian"}],"variants":["pn-summary","pn_summary"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/HooshvareLab/pn_summary","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/pn_summary","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/hooshvare/pn-summary","url":"https://github.com/hooshvare/pn-summary","frameworks":[]}],"num_papers_in_archive":4,"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."}