Dataset:



Dataset Card for "gap"

Dataset Summary

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.

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

  • Size of downloaded dataset files: 2.29 MB
  • Size of the generated dataset: 2.32 MB
  • Total amount of disk used: 4.61 MB

An example of 'validation' looks as follows.

{
    "A": "aliquam ultrices sagittis",
    "A-coref": false,
    "A-offset": 208,
    "B": "elementum curabitur vitae",
    "B-coref": false,
    "B-offset": 435,
    "ID": "validation-1",
    "Pronoun": "condimentum mattis pellentesque",
    "Pronoun-offset": 948,
    "Text": "Lorem ipsum dolor",
    "URL": "sem fringilla ut"
}

Data Fields

The data fields are the same among all splits.

default

  • ID: a string feature.
  • Text: a string feature.
  • Pronoun: a string feature.
  • Pronoun-offset: a int32 feature.
  • A: a string feature.
  • A-offset: a int32 feature.
  • A-coref: a bool feature.
  • B: a string feature.
  • B-offset: a int32 feature.
  • B-coref: a bool feature.
  • URL: a string feature.

Data Splits Sample Size

name train validation test
default 2000 454 2000

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information


@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}
}

Contributions

Thanks to @thomwolf, @patrickvonplaten, @otakumesi, @lewtun for adding this dataset.

Update on GitHub
Explore dataset Edit Model Tags

Models trained or fine-tuned on gap