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karya tulis ilmiah

  • Deskripsi :

Dataset karya tulis ilmiah berisi dua set dokumen panjang dan terstruktur. Dataset diperoleh dari ArXiv dan repositori OpenAccess PubMed.

Baik "arxiv" dan "pubmed" memiliki dua fitur:

FeaturesDict({
    'abstract': Text(shape=(), dtype=tf.string),
    'article': Text(shape=(), dtype=tf.string),
    'section_names': Text(shape=(), dtype=tf.string),
})
@article{Cohan_2018,
   title={A Discourse-Aware Attention Model for Abstractive Summarization of
            Long Documents},
   url={http://dx.doi.org/10.18653/v1/n18-2097},
   DOI={10.18653/v1/n18-2097},
   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},
   year={2018}
}

scientific_papers / arxiv (konfigurasi default)

  • Deskripsi konfigurasi : Dokumen dari repositori ArXiv.

  • Ukuran set data : 7.07 GiB

  • Split :

Membagi Contoh
'test' 6.440
'train' 203.037
'validation' 6.436

scientific_papers / pubmed

  • Deskripsi konfigurasi : Dokumen dari repositori PubMed.

  • Ukuran set data : 2.34 GiB

  • Split :

Membagi Contoh
'test' 6.658
'train' 119.924
'validation' 6.633