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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. In cases where a document received two or more identical classifications, the adopted value is set to 1; otherwise, it is marked as 0.Raw data can be checked into the repository in 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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  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