fix path

generate_dataset.py

@@ -1,19 +1,10 @@
 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)
+data_train = load_dataset("./su_id_asr.py", split='train', trust_remote_code=True)
+data_validation = load_dataset("./su_id_asr.py", split='validation', trust_remote_code=True)
+data_test = load_dataset("./su_id_asr.py", split='test', trust_remote_code=True)
 
 # Cetak beberapa contoh dari split train
-print(dataset[0])
+print(data_train[0])
 
-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

@@ -29,8 +29,6 @@ _CITATION = """\
 _DESCRIPTION = """\
 Sundanese ASR training data set containing ~220K utterances.
 This dataset was collected by Google in Indonesia.
-
-
 """
 
 _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
@@ -38,13 +36,11 @@ _HOMEPAGE = "https://indonlp.github.io/nusa-catalogue/card.html?su_id_asr"
 _LICENSE = "Attribution-ShareAlike 4.0 International."
 
 _URLs = {
-    "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",
+    "su_id_asr_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/fathan_naufal_office_ui_ac_id/EXW5a2p9MudJqZjmg35IfEcBDNF_Oe3kJvbj0VmCLp7HZQ?e=NYplel&download=1",
+    "su_id_asr_dev": "https://univindonesia-my.sharepoint.com/:u:/g/personal/fathan_naufal_office_ui_ac_id/EWUTzuB1uZxMrliLzFDdwjUBzR4L9kG6oeSqDm5kF-i-0w?e=hwhT11&download=1",
+    "su_id_asr_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/fathan_naufal_office_ui_ac_id/EdDRmrvuER9GsE2W8IgOmroBnhQpj4f4x1JFzl1HJJkLqg?e=Q3aSTg&download=1",
 }
 
-
-
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
@@ -97,71 +93,58 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        # 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": train_path, "split": "train"},
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": validation_path, "split": "validation"},
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_dev"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": test_path, "split": "test"},
-            ),
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
+            )
         ]
 
+    def _generate_examples(self, filepath: str):
 
-
-    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))
+
+            tsv_file = os.path.join(filepath, f"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]
+
+                    wav_path = os.path.join(filepath, f"asr_sundanese", "{}.flac".format(audio_id))
+
+                    if os.path.exists(wav_path):
+                        if self.config.schema == "source":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": speaker_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": transcription_text,
+                            }
+                            yield audio_id, ex
+                        elif self.config.schema == "seacrowd_sptext":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": speaker_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": transcription_text,
+                                "metadata": {
+                                    "speaker_age": None,
+                                    "speaker_gender": None,
+                                },
+                            }
+                            yield audio_id, ex
                         
-                        if os.path.exists(wav_path):
-                            if self.config.schema == "source":
-                                ex = {
-                                    "id": audio_id,
-                                    "speaker_id": speaker_id,
-                                    "path": wav_path,
-                                    "audio": wav_path,
-                                    "text": transcription_text,
-                                    "split": split,  # Menyimpan info split
-                                }
-                                yield audio_id, ex
-                            elif self.config.schema == "seacrowd_sptext":
-                                ex = {
-                                    "id": audio_id,
-                                    "speaker_id": speaker_id,
-                                    "path": wav_path,
-                                    "audio": wav_path,
-                                    "text": transcription_text,
-                                    "metadata": {
-                                        "speaker_age": None,
-                                        "speaker_gender": None,
-                                    },
-                                    "split": split,  # Menyimpan info split
-                                }
-                                yield audio_id, ex
         else:
-            raise ValueError(f"Invalid config: {self.config.name}")
+            raise ValueError(f"Invalid config: {self.config.name}")