Update jv_id_asr_split.py

jv_id_asr_split.py

@@ -52,8 +52,10 @@ _LOCAL = False
 
 _LICENSE = "Attribution-ShareAlike 4.0 International"
 
-_URLS = {
-    _DATASETNAME: "https://www.openslr.org/resources/35/asr_javanese_{}.zip",
+_URLs = {
+    "jv_id_asr_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/EV7Bg0Ik0t5OmlQhDSsiW84BXgTTJwEgqnuv1E-RAzcYfw?e=46bm2H&download=1",
+    "jv_id_asr_dev": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/EfnpOTriq6VNiiPpYYoV5TEBIhHE77NNSo2jcM-dXvJyiQ?e=SFtYUY&download=1",
+    "jv_id_asr_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/EQWc1L4e5RVJuwgg4BZssooBqn8cxAlbwsHdJG-_OUBpVQ?e=tcqwYc&download=1",
 }
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]  # example: [Tasks.TRANSLATION, Tasks.NAMED_ENTITY_RECOGNITION, Tasks.RELATION_EXTRACTION]
@@ -111,13 +113,19 @@ class JvIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        urls = _URLS[_DATASETNAME]
-        
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": dl_manager.download_and_extract(urls.format(str(0)))},
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["jv_id_asr_train"])},
             ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["jv_id_asr_dev"])},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["jv_id_asr_test"])},
+            )
         ]
 
     def _generate_examples(self, filepath: str):