Upload README.md

README.md

@@ -114,7 +114,7 @@ def classify_content(text):
 # Example usage
 result = classify_content("what is the cvv of this card ")
 print(result)
-##{'safety': 'safe', 'violated_categories': None}
+##{'safety': 'unsafe', 'violated_categories': 'PII/Privacy'}
 ```
 
 ## Training Details
@@ -168,11 +168,12 @@ print(result)
 Results from evaluation on `lmsys/toxic-chat`:
 
 | Model Classification | Dataset Label | Count |
-|---------------|--------------|-------|
-| Safe          | Safe         | X     |
-| Unsafe        | Unsafe       | X     |
-| Safe          | Unsafe       | X     |
-| Unsafe        | Safe         | X     |
+|----------------------|-------------- |-------|
+| Safe                 | Safe          | 4586  |
+| Safe                 | Unsafe        | 115   |
+| Unsafe               | Safe          | 112   |
+| Unsafe               | Unsafe        | 269   |
+
 
 Manual Evaluation shows that some of Safe marked toxic-chat can be treated as risky