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

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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

name	train	validation	test
default	2000	454	2000

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.