CADD_dataset

CADD: A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit

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• Note
  • 2021/09/05 New version update
  • The data is in the CSV format (encoding='latin_1').
  • Please MAKE SURE that you are fully aware of and agree to the ethical guidelines.
  • Please DO NOT modify this file directly.

Ethical Guidelines

1. Make no attempt to contact any user in the dataset
2. Make no attempt to deanonymize or learn the identity of any user in the dataset
3. Make no attempt to link users in the dataset with any external information (e.g., an account on another website)
4. Will not share any portion of the data, including example posts or excerpts from posts, with any other party

CADD

• Dataset overview

	Values	Description
Title	str: Context	Contextual information (Title + Body)
Body	str: Context	Contextual information (Title + Body)
Comment	str: Text	A target sentence to be classified.
L1: Type	{0,1,2,3}	0: Non-abusive, 1: Hate speech, 2: Derogatory, 3: Profanity
L2: Abusiveness	{0,1}	0: Non-abusive, 1: Abusive
L3: Target	{0,1}	0: Non-targeted, 1: Targeted
L4: Demographic Characteristics	{0,1,2,3,4,5,6,7,8}	0: None, 1:Gender, 2: Sexual orientation, 3: Race, 4: Religion 5: Disability, 6: Age, 7: Others, 8:Unclear
L5: Implicitness	{0,1}	0: None, 1: Implicit (Containing implicit attacks.)
L6: Profanity	{0,1}	0: None, 1: Profanity (Containing any words expressing abusiveness.)

• Data statistics

Type	Train	Validation	Test	Total
Hate speech	2,515	388	772	3,675
Derogatory	1,632	241	494	2,367
Profanity	4,595	631	1,339	6,565
Non-abusive	8,412	1,190	2,297	11,899
All	17,154	2,450	4,902	24,506

• Annotation scheme

  

Reference

https://aclanthology.org/2021.conll-1.43.pdf

@inproceedings{song2021large,
  title={{A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit}},
  author={Song, Hoyun and Ryu, Soo Hyun and Lee, Huije and Park, Jong C},
  booktitle={Proceedings of the 25th Conference on Computational Natural Language Learning},
  pages={552--561},
  year={2021}
}

License

These resources are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.