Update README.md

README.md

@@ -34,6 +34,19 @@ This model is intended for reasoning-intensive tasks in Italian
 - Output quality depends on instruction clarity.
 
 
+# Training Data
+
+The DeepMount00/o1-ITA-REASONING dataset is crafted to train language models in providing structured, methodical responses to questions in Italian.
+Each entry follows a four-step reasoning approach:
+
+ - Reasoning: Initial thought process
+ - Verification: Self-review of the reasoning
+ - Correction: Amendments if needed
+ - Final Answer: Conclusive response
+
+The dataset is formatted using XML-like tags to delineate each component, promoting transparency and structured thinking.
+It is particularly beneficial for educational purposes, encouraging systematic problem-solving and critical thinking in the Italian language.
+
 ## How to Get Started with the Model
 
 Use the code below to get started with the model.