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  • Deskripsi :

GAP adalah set data seimbang gender yang berisi 8.908 pasangan berlabel coreference (kata ganti ambigu, nama anteseden), diambil sampelnya dari Wikipedia dan dirilis oleh Google AI Language untuk evaluasi resolusi coreference dalam aplikasi praktis.

Membagi Contoh
'test' 2.000
'train' 2.000
'validation' 454
  • Fitur :
FeaturesDict({
    'A': Text(shape=(), dtype=tf.string),
    'A-coref': tf.bool,
    'A-offset': tf.int32,
    'B': Text(shape=(), dtype=tf.string),
    'B-coref': tf.bool,
    'B-offset': tf.int32,
    'ID': Text(shape=(), dtype=tf.string),
    'Pronoun': Text(shape=(), dtype=tf.string),
    'Pronoun-offset': tf.int32,
    'Text': Text(shape=(), dtype=tf.string),
    'URL': Text(shape=(), dtype=tf.string),
})
@article{DBLP:journals/corr/abs-1810-05201,
  author    = {Kellie Webster and
               Marta Recasens and
               Vera Axelrod and
               Jason Baldridge},
  title     = {Mind the {GAP:} {A} Balanced Corpus of Gendered Ambiguous Pronouns},
  journal   = {CoRR},
  volume    = {abs/1810.05201},
  year      = {2018},
  url       = {http://arxiv.org/abs/1810.05201},
  archivePrefix = {arXiv},
  eprint    = {1810.05201},
  timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1810-05201},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}