Update README.md

README.md

@@ -72,7 +72,7 @@ print(example["prediction"])
 
 # Filter examples based on harm probability
 def is_harmful(example, category_idx=2, threshold=0.7):  # SE category (index 2)
-    return sum(example["prediction"][category_idx][1:]) > threshold  # Sum of non-safe probabilities
+    return example["prediction"][category_idx][2] > threshold  # Removing samples with Sexual Harm's Toxic Dimension Probability greater than 0.7
 
 harmful_examples = dataset.filter(is_harmful)
 ```