add model name and symbol to leaderboard

app.py

@@ -92,13 +92,13 @@ def search_table(df: pd.DataFrame, query: str) -> pd.DataFrame:
 
 
 def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
-    # always_here_cols = [
-    #     AutoEvalColumn.model_type_symbol.name,
-    #     AutoEvalColumn.model.name,
-    # ]
+    always_here_cols = [
+        AutoEvalColumn.model_type_symbol.name,
+        AutoEvalColumn.model.name,
+    ]
     # We use COLS to maintain sorting
-    # filtered_df = df[always_here_cols + [c for c in COLS if c in df.columns and c in columns]]
-    filtered_df = df[[c for c in COLS if c in df.columns and c in columns]]
+    filtered_df = df[always_here_cols + [c for c in COLS if c in df.columns and c in columns]]
+    # filtered_df = df[[c for c in COLS if c in df.columns and c in columns]]
     return filtered_df
 
 

src/leaderboard/read_evals.py

@@ -115,8 +115,8 @@ class EvalResult:
         data_dict = {
             "eval_name": self.eval_name,  # not a column, just a save name,
             # AutoEvalColumn.precision.name: self.precision.value.name,
-            # AutoEvalColumn.model_type.name: self.model_type.value.name,
-            # AutoEvalColumn.model_type_symbol.name: self.model_type.value.symbol,
+            AutoEvalColumn.model_type.name: self.model_type.value.name,
+            AutoEvalColumn.model_type_symbol.name: self.model_type.value.symbol,
             # AutoEvalColumn.weight_type.name: self.weight_type.value.name,
             # AutoEvalColumn.architecture.name: self.architecture,
             # AutoEvalColumn.model.name: make_clickable_model(self.full_model),