add more benchamrks

app.py

@@ -236,14 +236,16 @@ def create_longform_dataframe():
         longform_data = []
         
         for _, row_data in longform_raw_df.iterrows():
-            model_name = row_data['model']
+            model_name = row_data['model_id']
             
             # Get values from CSV, similar to other tabs
             earnings21_wer = row_data.get('earnings21', -1)
+            earnings22_wer = row_data.get('earnings22', -1)
+            tedlium_wer = row_data.get('tedlium', -1)
             rtfx_value = row_data.get('RTFx', 0)
             
             # Calculate average WER from available datasets
-            available_wers = [w for w in [earnings21_wer] if w != -1 and w > 0]
+            available_wers = [w for w in [earnings21_wer, tedlium_wer] if w != -1 and w > 0]
             avg_wer = round(np.mean(available_wers), 2) if available_wers else 0.0
             
             row = {
@@ -251,6 +253,7 @@ def create_longform_dataframe():
                 "Average WER ⬇️": avg_wer,
                 "RTFx ⬆️️": rtfx_value if rtfx_value > 0 else "NA",
                 "Earnings21": earnings21_wer if earnings21_wer != -1 else "NA",
+                "Tedlium": tedlium_wer if tedlium_wer != -1 else "NA",
             }
             longform_data.append(row)
         

utils_display.py

@@ -46,7 +46,8 @@ class LongformColumn: # Long-form ASR benchmark columns
     avg_longform = ColumnContent("Average WER ⬇️", "number")
     rtf = ColumnContent("RTFx ⬆️️", "number")
     earnings21_wer = ColumnContent("Earnings21", "number")
-    mustc_wer = ColumnContent("MustC", "number")
+    earnings22_wer = ColumnContent("Earnings22", "number")
+    tedlium_wer = ColumnContent("Tedlium", "number")
 
 
 def make_clickable_model(model_name):