fix url

.gitignore

@@ -0,0 +1 @@
+env

generate_dataset.py

@@ -0,0 +1,9 @@
+from datasets import load_dataset
+
+# Menggunakan dataset builder yang telah disiapkan
+dataset = load_dataset("./su_id_asr.py", split='train', trust_remote_code=True)
+dataset = load_dataset("./su_id_asr.py", split='validation', trust_remote_code=True)
+dataset = load_dataset("./su_id_asr.py", split='test', trust_remote_code=True)
+
+# Cetak beberapa contoh dari split train
+print(dataset[0])

su_id_asr.py

@@ -38,9 +38,13 @@ _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
 _LICENSE = "Attribution-ShareAlike 4.0 International."
 
 _URLs = {
-    "su_id_asr": "https://www.openslr.org/resources/36/asr_sundanese_{}.zip",
+    "train": "https://univindonesia-my.sharepoint.com/personal/fathan_naufal_office_ui_ac_id/_layouts/15/download.aspx?share=EXnxiynWF0BBhhJS7_1xPT4BInHRARnyP4nqbpLOZwKuLg",
+    "validation": "https://univindonesia-my.sharepoint.com/personal/fathan_naufal_office_ui_ac_id/_layouts/15/download.aspx?SourceUrl=/personal/fathan_naufal_office_ui_ac_id/Documents/ES0-kCylYWtDqlpGq428pJYBK4u83a53Dl_zLmY7tg9ycw?e=PqW0tX",
+    "test": "https://univindonesia-my.sharepoint.com/personal/fathan_naufal_office_ui_ac_id/_layouts/15/download.aspx?SourceUrl=/personal/fathan_naufal_office_ui_ac_id/Documents/EfNmlx62QRVDrBmCRxQvgzEB13AqeJNESYy_pSbjVZV9yg?e=VU2g90",
 }
 
+
+
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
@@ -89,38 +93,51 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
             homepage=_HOMEPAGE,
             license=_LICENSE,
             citation=_CITATION,
-            task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
+            # task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        base_path = {}
-        for id in range(10):
-            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
-        for id in ["a", "b", "c", "d", "e", "f"]:
-            base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(id)))
+        # Mengunduh dataset dari tiga tautan yang berbeda (train, validation, test)
+        train_path = dl_manager.download_and_extract(_URLs["train"])
+        validation_path = dl_manager.download_and_extract(_URLs["validation"])
+        test_path = dl_manager.download_and_extract(_URLs["test"])
+
+        # Membagi dataset ke dalam split train, validation, dan test
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": base_path},
+                gen_kwargs={"filepath": train_path, "split": "train"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": validation_path, "split": "validation"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": test_path, "split": "test"},
             ),
         ]
 
-    def _generate_examples(self, filepath: Dict):
 
-        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
 
+    def _generate_examples(self, filepath: Dict, split: str):
+        """
+        Generate examples from the dataset, supporting multiple splits (train, validation, test).
+        """
+        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
             for key, each_filepath in filepath.items():
-
+                
                 tsv_file = os.path.join(each_filepath, "asr_sundanese", "utt_spk_text.tsv")
-
+                
                 with open(tsv_file, "r") as file:
                     tsv_file = csv.reader(file, delimiter="\t")
-
+                    
                     for line in tsv_file:
                         audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
-
+                        
+                        # Menentukan path untuk file audio
                         wav_path = os.path.join(each_filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
-
+                        
                         if os.path.exists(wav_path):
                             if self.config.schema == "source":
                                 ex = {
@@ -129,6 +146,7 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
                                     "path": wav_path,
                                     "audio": wav_path,
                                     "text": transcription_text,
+                                    "split": split,  # Menyimpan info split
                                 }
                                 yield audio_id, ex
                             elif self.config.schema == "seacrowd_sptext":
@@ -142,8 +160,8 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
                                         "speaker_age": None,
                                         "speaker_gender": None,
                                     },
+                                    "split": split,  # Menyimpan info split
                                 }
                                 yield audio_id, ex
-
         else:
             raise ValueError(f"Invalid config: {self.config.name}")