Drop rows without any benchmarks

streamlit_app.py

@@ -217,8 +217,13 @@ def setup_leaderboard(readme: str):
             df_leaderboard, ignore_columns=["Commercial Use?", "Publisher"]
         )
         df_leaderboard = filter_dataframe_by_column_values(df_leaderboard)
+
     df_leaderboard = df_leaderboard.dropna(axis=1, how="all")
 
+    benchmark_columns = [c for c in df_leaderboard.columns if df_leaderboard[c].dtype == float]
+    rows_wo_any_benchmark = df_leaderboard[benchmark_columns].isna().all(axis=1)
+    df_leaderboard = df_leaderboard[~rows_wo_any_benchmark]
+
     st.dataframe(df_leaderboard)
 
     st.download_button(