Remove redundant filters

app.py

@@ -7,11 +7,12 @@ from src.display.columns import (
     localize_main_leaderboard_df,
     main_board_datatype,
     main_board_default_cols,
+    main_board_hidden_columns,
 )
 from src.display.css_html_js import custom_css
 from src.display.datasets_tab import build_datasets_tab
 from src.display.i18n import CITATION_BUTTON_TEXT, t
-from src.display.utils import BENCHMARK_COLS, COLS, AutoEvalColumn, fields
+from src.display.utils import BENCHMARK_COLS, COLS, AutoEvalColumn
 from src.leaderboard.sync import log_storage_status, sync_results_from_hub
 from src.populate import (
     get_empty_leaderboard_notice,
@@ -35,7 +36,7 @@ def build_leaderboard(dataframe):
             label=t("select_columns"),
         ),
         search_columns=[MODEL_COL, TEAM_COL],
-        hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
+        hide_columns=main_board_hidden_columns(),
         interactive=False,
     )
 

src/display/columns.py

@@ -58,3 +58,25 @@ def main_board_default_cols() -> list[str]:
         AutoEvalColumn.average.name,
         *[task.value.col_name for task in Tasks],
     ]
+
+
+def main_board_hidden_columns() -> list[str]:
+    """Metadata columns hidden from the table and the column picker."""
+    from src.about import Tasks
+
+    keep_visible = {
+        AutoEvalColumn.model_type_symbol.name,
+        MODEL_COL,
+        TEAM_COL,
+        AutoEvalColumn.average.name,
+        *[task.value.col_name for task in Tasks],
+    }
+    localized_cols = []
+    for col in COLS:
+        if col == INTERNAL_MODEL_COL:
+            localized_cols.append(MODEL_COL)
+        elif col == INTERNAL_TEAM_COL:
+            localized_cols.append(TEAM_COL)
+        else:
+            localized_cols.append(col)
+    return [col for col in localized_cols if col not in keep_visible]