including large csvs in data splits

snow-mountain.py

@@ -198,13 +198,17 @@ class Test(datasets.GeneratorBasedBuilder):
             return temp_df
         
         with open(filepath) as f:
-            print(">>>>>>>>>>>>>>>>>>", filepath)
-            if filepath.endswith('all_verses.tar.gz'):
-                data_df = parse_archive(filepath)
-            elif filepath.endswith('short_verses.tar.gz'):    
-                data_df = parse_archive(filepath)
-            else:    
-                data_df = pd.read_csv(f,sep=',')  
+            try:
+                data_df = pd.read_csv(f,sep=',')
+            except:
+                data_df = parse_archive(filepath)   
+
+            # if filepath.endswith('all_verses.tar.gz'):
+            #     data_df = parse_archive(filepath)
+            # elif filepath.endswith('short_verses.tar.gz'):    
+            #     data_df = parse_archive(filepath)
+            # else:    
+            #     data_df = pd.read_csv(f,sep=',')  
             for index,row in data_df.iterrows():
                 audio = row['path'].split('/')[-1]
                 content = ''