removed tar files from data split

snow-mountain.py

@@ -156,31 +156,32 @@ class Test(datasets.GeneratorBasedBuilder):
                 },
             )
         )
-        splits.append(
-            datasets.SplitGenerator(
-                name="all_verses",
-                gen_kwargs={
-                    "filepath": downloaded_files["all_verses"],
-                    "audio_data": audio_data,
-                    "dl_manager":dl_manager,
-                },
-            )
-        )
-        splits.append(
-            datasets.SplitGenerator(
-                name="short_verses",
-                gen_kwargs={
-                    "filepath": downloaded_files["short_verses"],
-                    "audio_data": audio_data,
-                    "dl_manager":dl_manager,
-                },
-            )
-        )
+        # splits.append(
+        #     datasets.SplitGenerator(
+        #         name="all_verses",
+        #         gen_kwargs={
+        #             "filepath": downloaded_files["all_verses"],
+        #             "audio_data": audio_data,
+        #             "dl_manager":dl_manager,
+        #         },
+        #     )
+        # )
+        # splits.append(
+        #     datasets.SplitGenerator(
+        #         name="short_verses",
+        #         gen_kwargs={
+        #             "filepath": downloaded_files["short_verses"],
+        #             "audio_data": audio_data,
+        #             "dl_manager":dl_manager,
+        #         },
+        #     )
+        # )
         return splits
 
         
     def _generate_examples(self, filepath, audio_data, dl_manager):
 
+        key = 0
         '''Function for parsing large csv archives (all_verses, short_verses)'''
         def parse_archive(archive):
             temp_df = pd.DataFrame() 
@@ -196,25 +197,23 @@ class Test(datasets.GeneratorBasedBuilder):
                     break
             return temp_df
 
-        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:
-            with open(filepath) as f:
-                data_df = pd.read_csv(f,sep=',')  
+        # if filepath.endswith('all_verses.tar.gz'):
+        #     data_df = parse_archive(filepath)
+        # elif filepath.endswith('short_verses.tar.gz'):    
+        #     data_df = parse_archive(filepath)
         
-        key = 0
-        for index,row in data_df.iterrows():
-            audio = row['path'].split('/')[-1]
-            content = ''
-            if audio in list(audio_data.keys()):
-                content = audio_data[audio]
-            else:    
-                print(f"*********** Couldn't find audio: {audio} **************")
-            yield key, {
-                    "sentence": row["sentence"],
-                    "path": row["path"],
-                    "audio":{"path": row["path"], "bytes": content}
-                }
-            key+=1
+        with open(filepath) as f:
+            data_df = pd.read_csv(f,sep=',')  
+            for index,row in data_df.iterrows():
+                audio = row['path'].split('/')[-1]
+                content = ''
+                if audio in list(audio_data.keys()):
+                    content = audio_data[audio]
+                else:    
+                    print(f"*********** Couldn't find audio: {audio} **************")
+                yield key, {
+                        "sentence": row["sentence"],
+                        "path": row["path"],
+                        "audio":{"path": row["path"], "bytes": content}
+                    }
+                key+=1