filtering by track

app.py

@@ -61,7 +61,7 @@ def init_leaderboard(dataframe, track):
     if dataframe is None or dataframe.empty:
         raise ValueError("Leaderboard DataFrame is empty or None.")
     # filter for correct track
-    dataframe = dataframe.loc[dataframe["track"] == track]
+    dataframe = dataframe.loc[dataframe["eval_name"].endswith(track.lower())]
     return Leaderboard(
         value=dataframe,
         datatype=[c.type for c in fields(AutoEvalColumn)],