cnn_dailymail

  • Deskripsi :

Kumpulan data peringkasan non-anonim CNN/DailyMail.

Ada dua fitur: - artikel: teks artikel berita, digunakan sebagai dokumen yang akan diringkas - highlight: gabungan teks highlight dengan dan di sekitar setiap highlight, yang merupakan ringkasan target

Membelah Contoh
'test' 11.490
'train' 287.113
'validation' 13.368
  • Struktur fitur :
FeaturesDict({
    'article': Text(shape=(), dtype=string),
    'highlights': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'publisher': Text(shape=(), dtype=string),
})
  • Dokumentasi fitur :
Fitur Kelas Membentuk Dtype Keterangan
fiturDict
artikel Teks rangkaian
highlight Teks rangkaian
Indo Teks rangkaian
penerbit Teks rangkaian
  • Kutipan :
@article{DBLP:journals/corr/SeeLM17,
  author    = {Abigail See and
               Peter J. Liu and
               Christopher D. Manning},
  title     = {Get To The Point: Summarization with Pointer-Generator Networks},
  journal   = {CoRR},
  volume    = {abs/1704.04368},
  year      = {2017},
  url       = {http://arxiv.org/abs/1704.04368},
  archivePrefix = {arXiv},
  eprint    = {1704.04368},
  timestamp = {Mon, 13 Aug 2018 16:46:08 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SeeLM17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{hermann2015teaching,
  title={Teaching machines to read and comprehend},
  author={Hermann, Karl Moritz and Kocisky, Tomas and Grefenstette, Edward and Espeholt, Lasse and Kay, Will and Suleyman, Mustafa and Blunsom, Phil},
  booktitle={Advances in neural information processing systems},
  pages={1693--1701},
  year={2015}
}