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@@ -48,3 +48,19 @@ configs:
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  - split: test
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  path: Synth/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: test
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  path: Synth/test-*
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  ---
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+ # Automatic Misogyny Identification (AMI)
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+ Original Paper: https://amievalita2020.github.io
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+ Task presented at EVALITA-2020
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+ This task consists of tweet classification, specifically, categorization of the level of misogyny in a given text.
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+ We taken both subtasks, *raw_dataset* uploaded as *Behaviour* (3 class classification) and *synthetic* uploaded as *Synth* (2 class classification).
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+ Data statistics:
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+ - add
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+ Proposed Prompts:
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+ - add