WikiHarass: Difference between revisions
From Algolit
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| Type: || Dataset | | Type: || Dataset | ||
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| + | |Number of words: || 1.039.789 | ||
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| + | |Unique words: || 64.136 | ||
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| Source: || English Wikipedia | | Source: || English Wikipedia | ||
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The [https://figshare.com/projects/Wikipedia_Talk/16731 original dataset] consists of: | The [https://figshare.com/projects/Wikipedia_Talk/16731 original dataset] consists of: | ||
| − | *A corpus of all 95 million user and article talk diffs made between | + | *A corpus of all 95 million user and article talk diffs made between 2001 and 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). | *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 [https://conversationai.github.io/wikidetox/testdata/tox-sorted/Wikipedia%20Toxicity%20Sorted%20%28Toxicity%405%5BAlpha%5D%29.html Jigsaw's Github], which contains both constructive and vandalist edits. | For Algolit, a smaller section of the Detox dataset was used, taken from [https://conversationai.github.io/wikidetox/testdata/tox-sorted/Wikipedia%20Toxicity%20Sorted%20%28Toxicity%405%5BAlpha%5D%29.html Jigsaw's Github], which contains both constructive and vandalist edits. | ||
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[[Category:Algoliterary-Encounters]] | [[Category:Algoliterary-Encounters]] | ||
Latest revision as of 13:55, 2 November 2017
| Type: | Dataset |
| Number of words: | 1.039.789 |
| Unique words: | 64.136 |
| 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 and 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.