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Dataset: scientific_papers 🏷
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How to load this dataset directly with the πŸ€—/datasets library:

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from datasets import load_dataset dataset = load_dataset("scientific_papers")


Scientific papers datasets contains two sets of long and structured documents. The datasets are obtained from ArXiv and PubMed OpenAccess repositories. Both "arxiv" and "pubmed" have two features: - article: the body of the document, pagragraphs seperated by "/n". - abstract: the abstract of the document, pagragraphs seperated by "/n". - section_names: titles of sections, seperated by "/n".


   title={A Discourse-Aware Attention Model for Abstractive Summarization of
            Long Documents},
   journal={Proceedings of the 2018 Conference of the North American Chapter of
          the Association for Computational Linguistics: Human Language
          Technologies, Volume 2 (Short Papers)},
   publisher={Association for Computational Linguistics},
   author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli},

Models trained or fine-tuned on scientific_papers

None yet. Start fine-tuning now =)