debug

app.py

@@ -149,6 +149,26 @@ def init_leaderboard_mib_causalgraph(dataframe, track):
         interactive=False,
     )
 
+def init_leaderboard_mib_causalgraph(dataframe, track):
+    print("Debugging column issues:")
+    print("\nActual DataFrame columns:")
+    print(dataframe.columns.tolist())
+    
+    # Create only necessary columns
+    return Leaderboard(
+        value=dataframe,
+        datatype=[c.type for c in fields(AutoEvalColumn_mib_causalgraph)],
+        select_columns=SelectColumns(
+            default_selection=["Method"],  # Start with just Method column
+            cant_deselect=["Method"],      # Method column should always be visible
+            label="Select Columns to Display:",
+        ),
+        search_columns=["Method"],
+        hide_columns=[],
+        bool_checkboxgroup_label="Hide models",
+        interactive=False,
+    )
+
 
 def init_leaderboard(dataframe, track):
     if dataframe is None or dataframe.empty:

src/display/utils.py

@@ -208,19 +208,37 @@ BENCHMARK_COLS_MIB_CAUSALGRAPH = []
 #                         ColumnContent(col_name, "number", True)
 #                     ])
 
+# auto_eval_column_dict_mib_causalgraph = []
+
+# # Method name column
+# auto_eval_column_dict_mib_causalgraph.append(["method", ColumnContent, ColumnContent("Method", "markdown", True, never_hidden=True)])
+# auto_eval_column_dict_mib_causalgraph.append(["eval_name", ColumnContent, ColumnContent("eval_name", "str", True)])
+
+# # For each model-task-intervention-counterfactual combination
+# for task in TasksMib_Causalgraph:
+#     for model in task.value.models:  # model will already be lowercase
+#         for layer in task.value.layers[model]:
+#             for intervention in task.value.interventions:
+#                 for counterfactual in task.value.counterfactuals:
+#                     # Use exactly the same format as in DataFrame
+#                     col_name = f"{model}_layer{layer}_{intervention}_{counterfactual}"
+#                     auto_eval_column_dict_mib_causalgraph.append([
+#                         col_name, 
+#                         ColumnContent, 
+#                         ColumnContent(col_name, "number", True)
+#                     ])
+
 auto_eval_column_dict_mib_causalgraph = []
 
-# Method name column
+# Only include Method column as required
 auto_eval_column_dict_mib_causalgraph.append(["method", ColumnContent, ColumnContent("Method", "markdown", True, never_hidden=True)])
-auto_eval_column_dict_mib_causalgraph.append(["eval_name", ColumnContent, ColumnContent("eval_name", "str", True)])
 
 # For each model-task-intervention-counterfactual combination
 for task in TasksMib_Causalgraph:
-    for model in task.value.models:  # model will already be lowercase
+    for model in task.value.models:  # model will be lowercase
         for layer in task.value.layers[model]:
             for intervention in task.value.interventions:
                 for counterfactual in task.value.counterfactuals:
-                    # Use exactly the same format as in DataFrame
                     col_name = f"{model}_layer{layer}_{intervention}_{counterfactual}"
                     auto_eval_column_dict_mib_causalgraph.append([
                         col_name,