Update su_id_asr_split.py

su_id_asr_split.py

@@ -93,30 +93,22 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        dsets = []
-        
+        base_path = {}
         for id in range(10):
-            dsets.append(
-                datasets.SplitGenerator(
-                    name=datasets.Split(str(id)),
-                    gen_kwargs={"split_key": str(id), "dl_manager": dl_manager},
-                )
-            )
+            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
         for id in ["a", "b", "c", "d", "e", "f"]:
-            dsets.append(
-                datasets.SplitGenerator(
-                    name=datasets.Split(str(id)),
-                    gen_kwargs={"split_key": str(id), "dl_manager": dl_manager},
-                )
-            )
-            
-        return dsets
+            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": base_path},
+            ),
+        ]
 
-    def _generate_examples(self, split_key: str, dl_manager: datasets.DownloadManager):
+    def _generate_examples(self, filepath: Dict):
 
         if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
-            filepath = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(split_key)))
-            
+
             for key, each_filepath in filepath.items():
 
                 tsv_file = os.path.join(each_filepath, "asr_sundanese", "utt_spk_text.tsv")