
# Dataset Card for "gap"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://github.com/google-research-datasets/gap-coreference](https://github.com/google-research-datasets/gap-coreference)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns](https://arxiv.org/abs/1810.05201)
- **Point of Contact:** [gap-coreference@google.com](mailto: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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@otakumesi](https://github.com/otakumesi), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:token-classification task_ids:coreference-resolution annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:unknown arxiv:1810.05201 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["coreference-resolution"], "paperswithcode_id": "gap", "pretty_name": "GAP Benchmark Suite", "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}}
TAGS
#task_categories-token-classification #task_ids-coreference-resolution #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-1810.05201 #region-us 

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: URL
* Repository:
* Paper: Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
* Point of Contact: gap-coreference@URL
* 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


### Languages


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.


### 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


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### 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


### Contributions


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



### 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 ### Languages


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. ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @otakumesi, @lewtun for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-coreference-resolution #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-1810.05201 #region-us 
 ### 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 ### Languages


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. ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @otakumesi, @lewtun for adding this dataset.
passage: TAGS
#task_categories-token-classification #task_ids-coreference-resolution #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-1810.05201 #region-us 
### 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### Languages


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.### 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### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations


Additional Information
----------------------