WikiHarass
From Algolit
| Type: | Dataset |
| Number of words: | 1.039.789 |
| Unique words: | 6.4136 |
| 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 original 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).
For Algolit, a smaller section of the Detox dataset was used, taken from Jigsaw's Github, which contains both constructive and vandalist edits.