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license: cc-by-nd-4.0
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This dataset is obtained by transforming the training and test data of the two EVALITA tasks into an LLM prompt following a template.
The involved tasks are: AMI2020 (misogyny detection) and HASPEEDE-v2-2020 (hate-speech detection).

For the AMI task, we used the following template:

*instruction: Nel testo seguente si esprime odio contro le donne? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*

Similarly, for HASPEEDE we used:

*instruction: “Il testo seguente incita all’odio? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*

To fill these templates, we mapped the label "1" with the word "sì" and the label "0" with the word "no", \<text\> is just the sentence from the
dataset to classify.