Update README.md

README.md

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 ## TuPI dataset statistics
 
-The TuPi dataset is a comprehensive collection of annotated texts designed for identifying hate speeches posted across various social networks. It includes 10,000 unpublished documents gathered from Twitter. This repository presents the TuPi dataset, meticulously prepared for both binary and multicase classification tasks.
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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. 
+Comprising 10,000 unpublished documents sourced from Twitter, this repository offers a refined presentation of the TuPi 
+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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 | Label                | Count  |
 |----------------------|--------|
@@ -45,9 +54,9 @@ A framework inspired by Vargas et al. (2022) and Fortuna (2017) was adhered to b
 *  A high level of academic attainment comprising individuals with master’s degrees, doctoral candidates, and holders of doctoral degrees.
 * Expertise in fields of study closely aligned with the focus and objectives of our research.
   
-The subsequent table provides a concise summary of the annotators' profiles and qualifications (Table 1).
+The subsequent table provides a concise summary of the annotators' profiles and qualifications (Table 3).
 
-**Table 1 – Annotators’ profiles and qualifications.**
+**Table 3 – Annotators’ profiles and qualifications.**
 
 | Annotator    | Gender | Education                                     | Political  | Color  |
 |--------------|--------|-----------------------------------------------|------------|--------|