gap

• Description:

GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia and released by Google AI Language for the evaluation of coreference resolution in practical applications.

• Additional Documentation: Explore on Papers With Code

• Homepage: https://github.com/google-research-datasets/gap-coreference

• Source code: tfds.text.Gap

• Versions:

  • 0.1.0: Initial release.
  • 0.1.1 (default): Fixes parsing of boolean field A-coref and B-coref.

• Download size: 2.29 MiB

• Dataset size: 2.96 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	2,000
'train'	2,000
'validation'	454

• Feature structure:

FeaturesDict({
    'A': Text(shape=(), dtype=string),
    'A-coref': bool,
    'A-offset': int32,
    'B': Text(shape=(), dtype=string),
    'B-coref': bool,
    'B-offset': int32,
    'ID': Text(shape=(), dtype=string),
    'Pronoun': Text(shape=(), dtype=string),
    'Pronoun-offset': int32,
    'Text': Text(shape=(), dtype=string),
    'URL': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
A	Text		string
A-coref	Tensor		bool
A-offset	Tensor		int32
B	Text		string
B-coref	Tensor		bool
B-offset	Tensor		int32
ID	Text		string
Pronoun	Text		string
Pronoun-offset	Tensor		int32
Text	Text		string
URL	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@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}
}