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Dataset Card for [Dataset Name]
Dataset Summary
Discussing things you care about can be difficult. The threat of abuse and harassment online means that many people stop expressing themselves and give up on seeking different opinions. Platforms struggle to effectively facilitate conversations, leading many communities to limit or completely shut down user comments. This dataset consists of a large number of Wikipedia comments which have been labeled by human raters for toxic behavior.
Supported Tasks and Leaderboards
The dataset support multi-label classification
Languages
The comments are in English
Dataset Structure
Data Instances
A data point consists of a comment followed by multiple labels that can be associated with it. {'id': '02141412314', 'comment_text': 'Sample comment text', 'toxic': 0, 'severe_toxic': 0, 'obscene': 0, 'threat': 0, 'insult': 0, 'identity_hate': 1, }
Data Fields
id
: id of the commentcomment_text
: the text of the commenttoxic
: value of 0(non-toxic) or 1(toxic) classifying the commentsevere_toxic
: value of 0(non-severe_toxic) or 1(severe_toxic) classifying the commentobscene
: value of 0(non-obscene) or 1(obscene) classifying the commentthreat
: value of 0(non-threat) or 1(threat) classifying the commentinsult
: value of 0(non-insult) or 1(insult) classifying the commentidentity_hate
: value of 0(non-identity_hate) or 1(identity_hate) classifying the comment
Data Splits
The data is split into a training and testing set.
Dataset Creation
Curation Rationale
The dataset was created to help in efforts to identify and curb instances of toxicity online.
Source Data
Initial Data Collection and Normalization
The dataset is a collection of Wikipedia comments.
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
If words that are associated with swearing, insults or profanity are present in a comment, it is likely that it will be classified as toxic, regardless of the tone or the intent of the author e.g. humorous/self-deprecating. This could present some biases towards already vulnerable minority groups.
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
The "Toxic Comment Classification" dataset is released under [CC0], with the underlying comment text being governed by Wikipedia's [CC-SA-3.0].
Citation Information
No citation information.
Contributions
Thanks to @Tigrex161 for adding this dataset.
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