
# Dataset Card for "civil_comments"

## 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://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data)
- **Repository:** https://github.com/conversationai/unintended-ml-bias-analysis
- **Paper:** https://arxiv.org/abs/1903.04561
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 414.95 MB
- **Size of the generated dataset:** 661.23 MB
- **Total amount of disk used:** 1.08 GB

### Dataset Summary

The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data, published on figshare, includes the public comment
text, some associated metadata such as article IDs, timestamps and
commenter-generated "civility" labels, but does not include user ids. Jigsaw
extended this dataset by adding additional labels for toxicity and identity
mentions. This data set is an exact replica of the data released for the
Jigsaw Unintended Bias in Toxicity Classification Kaggle challenge.  This
dataset is released under CC0, as is the underlying comment text.

### 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:** 414.95 MB
- **Size of the generated dataset:** 661.23 MB
- **Total amount of disk used:** 1.08 GB

An example of 'validation' looks as follows.
```
{
    "identity_attack": 0.0,
    "insult": 0.0,
    "obscene": 0.0,
    "severe_toxicity": 0.0,
    "sexual_explicit": 0.0,
    "text": "The public test.",
    "threat": 0.0,
    "toxicity": 0.0
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `text`: a `string` feature.
- `toxicity`: a `float32` feature.
- `severe_toxicity`: a `float32` feature.
- `obscene`: a `float32` feature.
- `threat`: a `float32` feature.
- `insult`: a `float32` feature.
- `identity_attack`: a `float32` feature.
- `sexual_explicit`: a `float32` feature.

### Data Splits

| name  | train |validation|test |
|-------|------:|---------:|----:|
|default|1804874|     97320|97320|

## 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

This dataset is released under [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/).

### Citation Information

```
@article{DBLP:journals/corr/abs-1903-04561,
  author    = {Daniel Borkan and
               Lucas Dixon and
               Jeffrey Sorensen and
               Nithum Thain and
               Lucy Vasserman},
  title     = {Nuanced Metrics for Measuring Unintended Bias with Real Data for Text
               Classification},
  journal   = {CoRR},
  volume    = {abs/1903.04561},
  year      = {2019},
  url       = {http://arxiv.org/abs/1903.04561},
  archivePrefix = {arXiv},
  eprint    = {1903.04561},
  timestamp = {Sun, 31 Mar 2019 19:01:24 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1903-04561},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

```


### Contributions

Thanks to [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
task_categories:text-classification task_ids:multi-label-classification language:en license:cc0-1.0 toxic-comment-classification arxiv:1903.04561 region:us
{"language": ["en"], "license": "cc0-1.0", "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"], "paperswithcode_id": "civil-comments", "pretty_name": "Civil Comments", "tags": ["toxic-comment-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "toxicity", "dtype": "float32"}, {"name": "severe_toxicity", "dtype": "float32"}, {"name": "obscene", "dtype": "float32"}, {"name": "threat", "dtype": "float32"}, {"name": "insult", "dtype": "float32"}, {"name": "identity_attack", "dtype": "float32"}, {"name": "sexual_explicit", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 594805164, "num_examples": 1804874}, {"name": "validation", "num_bytes": 32216880, "num_examples": 97320}, {"name": "test", "num_bytes": 31963524, "num_examples": 97320}], "download_size": 422061071, "dataset_size": 658985568}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}]}
TAGS
#task_categories-text-classification #task_ids-multi-label-classification #language-English #license-cc0-1.0 #toxic-comment-classification #arxiv-1903.04561 #region-us 

Dataset Card for "civil\_comments"
==================================


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: URL
* Paper: URL
* Point of Contact:
* Size of downloaded dataset files: 414.95 MB
* Size of the generated dataset: 661.23 MB
* Total amount of disk used: 1.08 GB


### Dataset Summary


The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data, published on figshare, includes the public comment
text, some associated metadata such as article IDs, timestamps and
commenter-generated "civility" labels, but does not include user ids. Jigsaw
extended this dataset by adding additional labels for toxicity and identity
mentions. This data set is an exact replica of the data released for the
Jigsaw Unintended Bias in Toxicity Classification Kaggle challenge. This
dataset is released under CC0, as is the underlying comment text.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### default


* Size of downloaded dataset files: 414.95 MB
* Size of the generated dataset: 661.23 MB
* Total amount of disk used: 1.08 GB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'text': a 'string' feature.
* 'toxicity': a 'float32' feature.
* 'severe\_toxicity': a 'float32' feature.
* 'obscene': a 'float32' feature.
* 'threat': a 'float32' feature.
* 'insult': a 'float32' feature.
* 'identity\_attack': a 'float32' feature.
* 'sexual\_explicit': a 'float32' 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


This dataset is released under CC0 1.0.


### Contributions


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



### Dataset Summary


The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data, published on figshare, includes the public comment
text, some associated metadata such as article IDs, timestamps and
commenter-generated "civility" labels, but does not include user ids. Jigsaw
extended this dataset by adding additional labels for toxicity and identity
mentions. This data set is an exact replica of the data released for the
Jigsaw Unintended Bias in Toxicity Classification Kaggle challenge. This
dataset is released under CC0, as is the underlying comment text. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 414.95 MB
* Size of the generated dataset: 661.23 MB
* Total amount of disk used: 1.08 GB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'text': a 'string' feature.
* 'toxicity': a 'float32' feature.
* 'severe\_toxicity': a 'float32' feature.
* 'obscene': a 'float32' feature.
* 'threat': a 'float32' feature.
* 'insult': a 'float32' feature.
* 'identity\_attack': a 'float32' feature.
* 'sexual\_explicit': a 'float32' 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


This dataset is released under CC0 1.0. ### Contributions


Thanks to @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-multi-label-classification #language-English #license-cc0-1.0 #toxic-comment-classification #arxiv-1903.04561 #region-us 
 ### Dataset Summary


The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data, published on figshare, includes the public comment
text, some associated metadata such as article IDs, timestamps and
commenter-generated "civility" labels, but does not include user ids. Jigsaw
extended this dataset by adding additional labels for toxicity and identity
mentions. This data set is an exact replica of the data released for the
Jigsaw Unintended Bias in Toxicity Classification Kaggle challenge. This
dataset is released under CC0, as is the underlying comment text. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 414.95 MB
* Size of the generated dataset: 661.23 MB
* Total amount of disk used: 1.08 GB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'text': a 'string' feature.
* 'toxicity': a 'float32' feature.
* 'severe\_toxicity': a 'float32' feature.
* 'obscene': a 'float32' feature.
* 'threat': a 'float32' feature.
* 'insult': a 'float32' feature.
* 'identity\_attack': a 'float32' feature.
* 'sexual\_explicit': a 'float32' 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


This dataset is released under CC0 1.0. ### Contributions


Thanks to @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-multi-label-classification #language-English #license-cc0-1.0 #toxic-comment-classification #arxiv-1903.04561 #region-us 
### Dataset Summary


The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data, published on figshare, includes the public comment
text, some associated metadata such as article IDs, timestamps and
commenter-generated "civility" labels, but does not include user ids. Jigsaw
extended this dataset by adding additional labels for toxicity and identity
mentions. This data set is an exact replica of the data released for the
Jigsaw Unintended Bias in Toxicity Classification Kaggle challenge. This
dataset is released under CC0, as is the underlying comment text.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### default


* Size of downloaded dataset files: 414.95 MB
* Size of the generated dataset: 661.23 MB
* Total amount of disk used: 1.08 GB


An example of 'validation' looks as follows.### Data Fields


The data fields are the same among all splits.#### default


* 'text': a 'string' feature.
* 'toxicity': a 'float32' feature.
* 'severe\_toxicity': a 'float32' feature.
* 'obscene': a 'float32' feature.
* 'threat': a 'float32' feature.
* 'insult': a 'float32' feature.
* 'identity\_attack': a 'float32' feature.
* 'sexual\_explicit': a 'float32' feature.### Data Splits



Dataset Creation
----------------### Curation Rationale