Update README.md

README.md

@@ -34,6 +34,12 @@ It fine-tunes the `Salesforce/codet5-base` model for classifying student queries
 - **Structure**: JSON entries with `user_id`, `time`, `feature type`, `feature version`, `input question`, `input code`, `input intention`, `input task description`.
 - **Note**: Dataset does not include AI responses — only the student queries.
 
+## Challenges
+- **Class imbalance**: e.g., “General Question” is much more frequent.  
+- **Field-based hints**: Some classes have unique fields (like `input task description`), inadvertently helping classification.  
+- **Token length**: Some queries, especially with code snippets, can be very long, hitting transformer limits.  
+- **Structural inconsistency**: Dataset descriptions sometimes did not match actual data.
+
 
 ### Per-Category F1 Scores