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 and Leaderboards

More Information Needed

Languages

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Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 2.40 MB
• Size of the generated dataset: 2.43 MB
• Total amount of disk used: 4.83 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

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{webster-etal-2018-mind,
    title = "Mind the {GAP}: A Balanced Corpus of Gendered Ambiguous Pronouns",
    author = "Webster, Kellie  and
      Recasens, Marta  and
      Axelrod, Vera  and
      Baldridge, Jason",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "6",
    year = "2018",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/Q18-1042",
    doi = "10.1162/tacl_a_00240",
    pages = "605--617",
}

Contributions

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