Update leaderboard display

app.py

@@ -87,11 +87,11 @@ Template for citing our benchmark.
         "no_data_message": "Нет данных. Пожалуйста, отправьте результаты.",
         "by_type_tab_title": "По типам вопросов",
         "category_display_names": {
-            "simple": "Простые вопросы",
-            "set": "На основе набора",
+            "simple": "Simple",
+            "set": "Set",
             "mh": "Multi-hop",
-            "cond": "Условные",
-            "comp": "Сравнение"
+            "cond": "Conditional",
+            "comp": "Comparison"
         },
         "no_data_category_template": "Нет данных для категории {}.",
         "category_performance_template": "#### Производительность на {}",
@@ -427,13 +427,13 @@ def create_category_df(df, category, retrieval_col, generation_col):
     category_df = df.copy()
     
     # Calculate total score for this category
-    category_df[f'{category} Score'] = category_df[retrieval_col] + category_df[generation_col]
+    category_df[f'Score'] = category_df[retrieval_col] + category_df[generation_col]
     
     # Sort by total score
-    category_df = category_df.sort_values(f'{category} Score', ascending=False)
+    category_df = category_df.sort_values(f'Score', ascending=False)
     
     # Select columns for display
-    category_cols = ['Model', 'Embeddings', 'Retriever', retrieval_col, generation_col, f'{category} Score']
+    category_cols = ['Model', 'Embeddings', 'Retriever', retrieval_col, generation_col, f'Score']
     
     # Rename columns for display
     category_df = category_df[category_cols].rename(columns={