unique col names

src/display/utils.py

@@ -27,14 +27,16 @@ auto_eval_column_dict_multimodal = []
 auto_eval_column_dict.append(["model", ColumnContent, ColumnContent("Model", "markdown", True, never_hidden=True)])
 #Scores
 auto_eval_column_dict.append(["average", ColumnContent, ColumnContent("Average ⬆️", "number", True)])
-auto_eval_column_dict_multimodal = auto_eval_column_dict
 for task in Tasks:
     auto_eval_column_dict.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
-for task in TasksMultimodal:
-    auto_eval_column_dict_multimodal.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
 # Model information
 auto_eval_column_dict.append(["still_on_hub", ColumnContent, ColumnContent("Available on the hub", "bool", False)])
 auto_eval_column_dict.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
+
+auto_eval_column_dict_multimodal.append(["model", ColumnContent, ColumnContent("Model", "markdown", True, never_hidden=True)])
+auto_eval_column_dict_multimodal.append(["average", ColumnContent, ColumnContent("Average ⬆️", "number", True)])
+for task in TasksMultimodal:
+    auto_eval_column_dict_multimodal.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
 auto_eval_column_dict_multimodal.append(["still_on_hub", ColumnContent, ColumnContent("Available on the hub", "bool", False)])
 auto_eval_column_dict_multimodal.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
 
@@ -66,4 +68,4 @@ EVAL_COLS = [c.name for c in fields(EvalQueueColumn)]
 EVAL_TYPES = [c.type for c in fields(EvalQueueColumn)]
 
 BENCHMARK_COLS = [t.value.col_name for t in Tasks]
-BENCHMARK_COLS_MULTIMODAL = [t.value.col_name for t in TasksMultimodal]
+BENCHMARK_COLS_MULTIMODAL = [t.value.col_name for t in TasksMultimodal]