rank

src/display/utils.py

@@ -52,7 +52,7 @@ auto_eval_column_dict.append(["still_on_hub", ColumnContent, ColumnContent("Avai
 auto_eval_column_dict.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
 # Dummy column for the search bar (hidden by the custom CSS)
 auto_eval_column_dict.append(["dummy", ColumnContent, ColumnContent("model_name_for_query", "str", False, dummy=True)])
-# auto_eval_column_dict.append(["rank", ColumnContent, ColumnContent("rank", "number", True)])
+auto_eval_column_dict.append(["rank", ColumnContent, ColumnContent("rank", "number", True, never_hidden=True)])
 
 # We use make dataclass to dynamically fill the scores from Tasks
 AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True)

src/leaderboard/read_evals.py

@@ -266,7 +266,7 @@ class EvalResult:
 
         try:
             data_dict[AutoEvalColumn.model.name] = make_clickable_model(
-                self.full_model, self.model) if self.still_on_hub else self.full_model
+                self.full_model, self.model) if self.still_on_hub else self.model  #TODO or full_model
         except KeyError:
             print(f"Could not find model")
 
@@ -354,6 +354,8 @@ class EvalResult:
                 print(f"Could not find {task.value.col_name}")
                 data_dict[task.value.col_name] = None
 
+        data_dict[AutoEvalColumn.rank.name] = 0
+
         return data_dict