Skip repos with malformed data

app.py

@@ -208,18 +208,21 @@ def update_leaderboard_dataset_parallel(rl_env, path):
         #LOADED_MODEL_METADATA[model_id] = meta if meta is not None else ''
         if meta is None:
             return None
-        user_id = model_id.split('/')[0]
-        row = {}
-        row["User"] = user_id
-        row["Model"] = model_id
-        accuracy = parse_metrics_accuracy(meta)
-        mean_reward, std_reward = parse_rewards(accuracy)
-        mean_reward = mean_reward if not pd.isna(mean_reward) else 0
-        std_reward = std_reward if not pd.isna(std_reward) else 0
-        row["Results"] = mean_reward - std_reward
-        row["Mean Reward"] = mean_reward
-        row["Std Reward"] = std_reward
-        return row
+        try:
+            user_id = model_id.split('/')[0]
+            row = {}
+            row["User"] = user_id
+            row["Model"] = model_id
+            accuracy = parse_metrics_accuracy(meta)
+            mean_reward, std_reward = parse_rewards(accuracy)
+            mean_reward = mean_reward if not pd.isna(mean_reward) else 0
+            std_reward = std_reward if not pd.isna(std_reward) else 0
+            row["Results"] = mean_reward - std_reward
+            row["Mean Reward"] = mean_reward
+            row["Std Reward"] = std_reward
+            return row
+        except:
+            return None
 
     data = list(thread_map(process_model, model_ids, desc="Processing models"))