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From Algolit

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The [https://meta.wikimedia.org/wiki/Research:Detox Detox dataset] was used by Wikimedia and [[Crowd Embeddings| Perspective API]] to train a neural network that would detect the level of toxicity of a comment.
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The [https://meta.wikimedia.org/wiki/Research:Detox Detox dataset] is a project by Wikimedia and [[Crowd Embeddings| Perspective API]] to train a neural network that would detect the level of toxicity of a comment.  
  
 
The [https://figshare.com/projects/Wikipedia_Talk/16731 dataset] consists of:
 
The [https://figshare.com/projects/Wikipedia_Talk/16731 dataset] consists of:

Revision as of 17:55, 25 October 2017

Type: Dataset
Source: English Wikipedia
Developed by: Wikimedia Foundation

The Detox dataset is a project by Wikimedia and Perspective API to train a neural network that would detect the level of toxicity of a comment.

The dataset consists of:

  • A corpus of all 95 million user and article talk diffs made between 2001–2015 scored by the personal attack model.
  • A human annotated dataset of 1m crowd-sourced annotations that cover 100k talk page diffs (with 10 judgements per diff).