Update README.md

README.md

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 # Portuguese Hate Speech Dataset (TuPy)
 
-The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML) and natural language processing (NLP) techniques. 
-TuPy is formed by 10,000 (ten thousand) unpublished, annotated, and anonymous tweets collected in 2023.
+The Portuguese hate speech dataset (TuPy) is an annotated corpus designed to facilitate the development of advanced hate speech detection models using machine learning (ML) 
+and natural language processing (NLP) techniques. TuPy is comprised of 10,000 (ten thousand) unpublished, annotated, and anonymized documents collected 
+on Twitter (currently known as X) in 2023. 
 This repository is organized as follows:
 
 ```sh
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     ├── multilabel : multilabel dataset (including training and testing split)
     └── README.md  : documentation and card metadata
 ```
+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
+
 ## Annotation and voting process
 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)
 The subsequent table provides a concise summary of the annotators' profiles and qualifications: