Fix runtime columns not appearing in table and scatter plots

- Add runtime columns to DataTransformer.view() output:
- Add primary_runtime_col (Average Runtime for Overall, {Category} Runtime otherwise)
- Include runtime columns for each category/benchmark in metrics_to_display

This fixes the issue where runtime data was loaded correctly but wasn't being
passed through to the display table and scatter plots.

Co-authored-by: openhands <openhands@all-hands.dev>

leaderboard_transformer.py

@@ -318,16 +318,19 @@ class DataTransformer:
         new_cols = ["Openness"]
         ending_cols = ["Date", "Logs"]
 
-        # For Overall view, use "Average Cost" (average cost per instance across all benchmarks)
+        # For Overall view, use "Average Cost" and "Average Runtime" (per instance across all benchmarks)
         if tag is None or tag == "Overall":
             primary_cost_col = "Average Cost"
+            primary_runtime_col = "Average Runtime"
         else:
             primary_cost_col = f"{primary_metric} Cost"
+            primary_runtime_col = f"{primary_metric} Runtime"
 
-        metrics_to_display = [primary_score_col, primary_cost_col]
+        metrics_to_display = [primary_score_col, primary_cost_col, primary_runtime_col]
         for item in group_metrics:
             metrics_to_display.append(f"{item} Score")
             metrics_to_display.append(f"{item} Cost")
+            metrics_to_display.append(f"{item} Runtime")
 
         final_cols_ordered = new_cols + base_cols +  list(dict.fromkeys(metrics_to_display)) + ending_cols