Update README.md

README.md

@@ -4,6 +4,7 @@ language:
 - en
 pretty_name: Purple Team Cybersecurity Dataset
 ---
+
 # Purple Team Cybersecurity Dataset
 
 <!-- Hugging Face Metadata -->
@@ -21,30 +22,27 @@ pretty_name: Purple Team Cybersecurity Dataset
 
 The Purple Team Cybersecurity Dataset is a comprehensive collection of events that amalgamates Red Team (attack) and Blue Team (defense) data. This dataset is designed to facilitate research and development in cybersecurity, particularly in understanding and analyzing the interplay between offensive and defensive strategies. It includes standardized fields such as timestamps, IP addresses, MITRE ATT&CK IDs, tool names, and event descriptions, providing a balanced perspective of both attack and defense scenarios.
 
-Dataset Details
+### Dataset Details
 
-Dataset Description
+**Dataset Description**
 
 This dataset was curated by combining existing Red Team and Blue Team datasets, normalizing and standardizing the data to ensure consistency. Each event is labeled as either “Attack” or “Defense” and is mapped to the corresponding MITRE ATT&CK tactics. The dataset aims to support cybersecurity research by providing a balanced and comprehensive view of both offensive and defensive events.
-   •   Curated by: [Your Name or Organization]
-   •   Funded by [optional]: [More Information Needed]
-   •   Shared by [optional]: [More Information Needed]
-   •   Language(s) (NLP): Not Applicable
-   •   License: [Specify License, e.g., MIT License]
+- Curated by: [Your Name or Organization]
+- Language(s) (NLP): Not Applicable
+- License: [MIT License]
 
 Dataset Sources
-   •   Repository: [Link to Dataset Repository]
-   •   Paper [optional]: [Link to Related Paper]
-   •   Demo [optional]: [Link to Demo]
+- Repository: [Link to Dataset Repository]
+- Paper [optional]: [Link to Related Paper]
 
 Uses
 
 Direct Use
 
 This dataset is intended for use in cybersecurity research, including but not limited to:
-   •   Analyzing attack and defense patterns
-   •   Developing and testing intrusion detection systems
-   •   Training machine learning models for threat detection
+- Analyzing attack and defense patterns 
+- Developing and testing intrusion detection systems
+- Training machine learning models for threat detection
 
 Out-of-Scope Use