added marked for relaxed

about.py

@@ -11,7 +11,7 @@ results_repo = f'{organization}/lemat-genbench-results'
 
 # Column display names mapping
 COLUMN_DISPLAY_NAMES = {
-    'run_name': 'Model',
+    'model_name': 'Model',
     'n_structures': 'Total Structures',
     # Validity metrics
     'overall_valid_count': 'Valid',
@@ -139,7 +139,7 @@ COLUMN_TO_GROUP = get_column_to_group_mapping()
 
 # Compact view columns (most important metrics visible without scrolling)
 COMPACT_VIEW_COLUMNS = [
-    'run_name',
+    'model_name',
     'overall_valid_count',
     'unique_count',
     'novel_count',
@@ -153,7 +153,7 @@ COMPACT_VIEW_COLUMNS = [
 ]
 
 # Full view columns (all metrics organized by groups)
-FULL_VIEW_COLUMNS = ['run_name', 'n_structures']
+FULL_VIEW_COLUMNS = ['model_name', 'n_structures']
 for group_name, cols in METRIC_GROUPS.items():
     FULL_VIEW_COLUMNS.extend(cols)
 

app.py

@@ -30,7 +30,7 @@ def format_dataframe(df, show_percentage=False, selected_groups=None, compact_vi
         return df
 
     # Build column list based on view mode
-    selected_cols = ['run_name']
+    selected_cols = ['model_name']
 
     if compact_view:
         # Use predefined compact columns
@@ -55,6 +55,13 @@ def format_dataframe(df, show_percentage=False, selected_groups=None, compact_vi
     # Create a copy with selected columns
     display_df = df[selected_cols].copy()
 
+    # Add relaxed symbol to model name if relaxed column is True
+    if 'relaxed' in df.columns and 'model_name' in display_df.columns:
+        display_df['model_name'] = df.apply(
+            lambda row: f"{row['model_name']} ⚡" if row.get('relaxed', False) else row['model_name'],
+            axis=1
+        )
+
     # Convert count-based metrics to percentages if requested
     if show_percentage and 'n_structures' in df.columns:
         n_structures = df['n_structures']