v1.11

app.py

@@ -64,7 +64,7 @@ def format_table(df):
 # Function to calculate top 3 models based on combined score (average of numeric columns)
 def get_top_3_models(robustness_df, context_grounding_df):
     # Combine numeric columns from both datasets
-    numeric_cols_robustness = ["Baseline", "Robustness"]  # Example numeric columns from robustness
+    numeric_cols_robustness = ["Baseline", "Robustness (Δ)"]  # Updated to match the actual column name
     numeric_cols_context = ["Irrelevant Ctx", "No Ctx", "Ctx Grounding QA", "Ctx Grounding TG", "Ctx Grounding", "Robustness", "Compliance"]  # From context grounding
     
     # Extract numeric values for scoring