Compute agg always

utils.py

@@ -8,9 +8,9 @@ import plotly.graph_objects as go
 
 # fmt: off
 type_emoji = {
-    "RTL-Specific": "‎ ‎ ‎ ‎ ‎ ‎ 🔴",
-    "General": "‎ ‎ ‎ ‎ ‎ ‎ 🟢",
-    "Coding": "‎ ‎ ‎ ‎ ‎ ‎ 🔵"
+    "RTL-Specific": "🔴",
+    "General": "🟢",
+    "Coding": "🔵"
 }
 # fmt: on
 
@@ -55,9 +55,22 @@ def filter_bench(subset: pd.DataFrame, df_agg=None, agg_column=None) -> pd.DataF
     details = subset[
         ["Model", "Model URL", "Model Type", "Params", "Release"]
     ].drop_duplicates("Model")
-    pivot_df = subset.pivot_table(
-        index="Model", columns="Metric", values="Score", aggfunc="mean"
-    ).reset_index()
+    if "RTLLM" in subset["Benchmark"].unique():
+        pivot_df = (
+            subset.pivot_table(
+                index="Model", columns="Metric", values="Score", aggfunc=custom_agg_s2r
+            )
+            .reset_index()
+            .round(2)
+        )
+    else:
+        pivot_df = (
+            subset.pivot_table(
+                index="Model", columns="Metric", values="Score", aggfunc=custom_agg_cc
+            )
+            .reset_index()
+            .round(2)
+        )
 
     if df_agg is not None and agg_column is not None and agg_column in df_agg.columns:
         agg_data = df_agg[["Model", agg_column]].rename(