README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - en
language_creators:
  - found
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: GAP Benchmark Suite
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - coreference-resolution
paperswithcode_id: gap
dataset_info:
  features:
    - name: ID
      dtype: string
    - name: Text
      dtype: string
    - name: Pronoun
      dtype: string
    - name: Pronoun-offset
      dtype: int32
    - name: A
      dtype: string
    - name: A-offset
      dtype: int32
    - name: A-coref
      dtype: bool
    - name: B
      dtype: string
    - name: B-offset
      dtype: int32
    - name: B-coref
      dtype: bool
    - name: URL
      dtype: string
  splits:
    - name: train
      num_bytes: 1095623
      num_examples: 2000
    - name: validation
      num_bytes: 248329
      num_examples: 454
    - name: test
      num_bytes: 1090462
      num_examples: 2000
  download_size: 2401971
  dataset_size: 2434414

Dataset Card for "gap"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/google-research-datasets/gap-coreference
• Repository: More Information Needed
• Paper: Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
• Point of Contact: gap-coreference@google.com
• Size of downloaded dataset files: 2.40 MB
• Size of the generated dataset: 2.43 MB
• Total amount of disk used: 4.83 MB

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

More Information Needed

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

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

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{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.