SEACrowd/tgl_profanity
This dataset contains 13.8k Tagalog sentences containing profane words, together with binary labels denoting whether or not the sentence conveys profanity / abuse / hate speech. The data was scraped from Twitter using a Python library called SNScrape and annotated manually by a panel of native Filipino speakers.
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