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  The TuPi dataset stands as an extensive compilation of annotated texts meticulously crafted to discern hate speech across diverse social networks.
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  Comprising 10,000 unpublished documents sourced from Twitter, this repository offers a refined presentation of the TuPi
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- dataset tailored for adept handling in both binary and multiclass classification tasks.(Table 1) provides a detailed breakdown of the dataset, delineating the volume of data based on the occurrence of aggressive speech and the manifestation of hate speech within the documents
 
 
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  **Table 1 - Count of documents for categories non-aggressive and aggressive.**
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  The TuPi dataset stands as an extensive compilation of annotated texts meticulously crafted to discern hate speech across diverse social networks.
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  Comprising 10,000 unpublished documents sourced from Twitter, this repository offers a refined presentation of the TuPi
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+ dataset tailored for adept handling in both binary and multiclass classification tasks.For additional insights into the dataset's construction, refer to the following section.
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+ (Table 1) provides a detailed breakdown of the dataset, delineating the volume of data based on the occurrence of aggressive speech and the manifestation of hate speech within the documents
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  **Table 1 - Count of documents for categories non-aggressive and aggressive.**
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