Dataset Card for "civil_comments"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data
Repository: More Information Needed
Paper: More Information Needed
Point of Contact: More Information Needed
Size of downloaded dataset files: 395.73 MB
Size of the generated dataset: 630.60 MB
Total amount of disk used: 1026.33 MB

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.

default

Size of downloaded dataset files: 395.73 MB
Size of the generated dataset: 630.60 MB
Total amount of disk used: 1026.33 MB

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 Sample Size

name	train	validation	test
default	1804874	97320	97320


@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, @patrickvonplaten, @thomwolf for adding this dataset.

Datasets:

google
/

civil_comments

Dataset Card for "civil_comments"

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks

Languages

Dataset Structure

Data Instances

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Data Fields

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Data Splits Sample Size

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