Update README.md

README.md

@@ -67,8 +67,7 @@ print(f"Sentiment: {label}")
 ## Training Details  
 
 ### Training Data  
-The model was trained on a dataset of Indonesian texts labeled for binary sentiment analysis (Positive and Negative). The dataset contains an equal distribution of positive and negative examples to ensure balanced learning.  
-
+The model was trained on a dataset of Indonesian text reviews from Play Store applications. The dataset was labeled for binary sentiment analysis (Positive and Negative). It contains an equal distribution of positive and negative examples to ensure balanced learning.
 ### Training Procedure  
 
 #### Training Hyperparameters