debug

app.py

@@ -392,11 +392,11 @@ def init_leaderboard_mib_subgraph(dataframe, track):
         raise ValueError("Leaderboard DataFrame is empty or None.")
     
     # Print DataFrame information for debugging
-    print("\nDebugging DataFrame columns:", dataframe.columns.tolist())
+    # print("\nDebugging DataFrame columns:", dataframe.columns.tolist())
     
     # Get result columns (excluding Method and Average)
     result_columns = [col for col in dataframe.columns 
-                     if col not in ['Method', 'Average'] and '_' in col]
+                     if col not in ['Method', 'Average', 'eval_name'] and '_' in col]
     
     # Create benchmark and model selections
     benchmarks = set()
@@ -406,7 +406,7 @@ def init_leaderboard_mib_subgraph(dataframe, track):
     # Extract unique benchmarks and models from column names
     for col in result_columns:
         print(f"col is {col}")
-        benchmark, model = col.split('_')
+        benchmark, model = col.split('_', maxsplit=1)
         benchmarks.add(benchmark)
         models.add(model)
         print(f"benchmark is {benchmark} and model is {model}")