fix round columns

src/display/utils.py

@@ -110,7 +110,10 @@ auto_eval_column_dict.append(
 auto_eval_column_dict.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
 auto_eval_column_dict.append(["not_flagged", ColumnContent, ColumnContent("Flagged", "bool", False, hidden=True)])
 auto_eval_column_dict.append(["moe", ColumnContent, ColumnContent("MoE", "bool", False, hidden=True)])
-auto_eval_column_dict.append(["date", ColumnContent, ColumnContent("date", "bool", False, hidden=True)])
+# to rename
+auto_eval_column_dict.append(["submission_date", ColumnContent, ColumnContent("submission_date", "date", False, hidden=True)])
+auto_eval_column_dict.append(["upload_to_hub", ColumnContent, ColumnContent("upload_to_hub", "date", False, hidden=True)])
+
 auto_eval_column_dict.append(["use_chat_template", ColumnContent, ColumnContent("Chat Template", "bool", False)])
 auto_eval_column_dict.append(["maintainers_highlight", ColumnContent, ColumnContent("Maintainer's Highlight", "bool", False, hidden=True)])
 

src/populate.py

@@ -49,5 +49,6 @@ def get_leaderboard_df(leaderboard_dataset: Dataset, cols: list, benchmark_cols:
 
     df = pd.DataFrame.from_records(all_data_json_list)
     df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
+    df = df[cols].round(decimals=2)
     df = df[has_no_nan_values(df, benchmark_cols)]
     return df