Datasets:
Tasks:
Text Classification
Formats:
csv
Languages:
Portuguese
Size:
10K - 100K
ArXiv:
Tags:
hate-speech-detection
DOI:
License:
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To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
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## Annotation and voting process
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To generate the binary matrices, we employed a straightforward voting process. Three distinct evaluations were assigned to each document.
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The subsequent table provides a concise summary of the annotators' profiles and qualifications:
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#### Table 1 – Annotators
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To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
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## Annotation and voting process
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To generate the binary matrices, we employed a straightforward voting process. Three distinct evaluations were assigned to each document.
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In cases where a document received two or more identical classifications, the adopted value is set to 1; otherwise, it is marked as 0.
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Annotated Raw data can be accessed into the [project repository](https://github.com/Silly-Machine/TuPy-Dataset)
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The subsequent table provides a concise summary of the annotators' profiles and qualifications:
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#### Table 1 – Annotators
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