Update README.md

README.md

@@ -77,7 +77,35 @@ aggressive: 1, hate: 1, ageism: 0, aporophobia: 1, body shame: 0, capacitism: 0,
 religious intolerance : 0, misogyny : 0, xenophobia : 0, other : 0
 }
 ```
+Table 2 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
 
+**Table 2 - Count of documents for categories non-aggressive and aggressive.**
+
+| Label                | Count  |
+|----------------------|--------|
+| Non-aggressive       | 8013   |
+| Aggressive - Not hate| 689    |
+| Aggressive - Hate    | 1298   |
+| Total                | 10000  |
+
+Table 3 provides a detailed analysis of the dataset, delineating the data volume in relation to the occurrence of distinct categories of hate speech.
+
+**Table 3 - Count of documents for hate categories.**
+
+| Label                    | Count |
+|--------------------------|-------|
+| Ageism                   | 53    |
+| Aporophobia              | 61    |
+| Body shame               | 120   |
+| Capacitism               | 92    |
+| LGBTphobia               | 96    |
+| Political                | 532   |
+| Racism                   | 38    |
+| Religious intolerance    | 28    |
+| Misogyny                 | 207   |
+| Xenophobia               | 70    |
+| Other                    | 1     |
+| Total                    | 1298  |
 
 ## Acknowledge
 The TuPy project is the result of the development of Felipe Oliveira's thesis and the work of several collaborators. This project is financed by the Federal University of Rio de Janeiro ([UFRJ](https://ufrj.br/)) and the Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering ([COPPE](https://coppe.ufrj.br/)).