Update su_id_asr_split.py

su_id_asr_split.py

@@ -38,7 +38,9 @@ _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",
+    "su_id_asr_train": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/EdJMdFZbSp5LlAT0TEP2fvcB38OHB1hIRslTpCs-wTrJMA?e=jfK6xC",
+    "su_id_asr_dev": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/Efe8LnwT8KtOjJybXjOQdFwBso5RBp39SwGGWsEbindXDQ?e=IFIN6J",
+    "su_id_asr_test": "https://univindonesia-my.sharepoint.com/:u:/g/personal/bimasena_putra_office_ui_ac_id/EfjvnrniV_hKmrSMY0XYvt8BXiXx5SNxt5mhfLiMw0dExw?e=zGCjc5",
 }
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
@@ -93,76 +95,58 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        lines = []
-        filepath = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(0)))
-        tsv_file = os.path.join(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:
-                lines.append(line)
-
-        rlen = len(lines)
-        
-        split_generators = []
-        split_names = {
-            "train": datasets.Split.TRAIN,
-            "dev": datasets.Split.VALIDATION,
-            "test": datasets.Split.TEST,
-        }
-        split_set = {
-            "train": 8*rlen//10,
-            "dev": rlen//10+1,
-            "test": rlen//10+1,
-        }
-
-        for split in ("train", "dev", "test"):
-            split_generators.append(
-                datasets.SplitGenerator(
-                    name=split_names.get(split),
-                    gen_kwargs={
-                        "tsv_file": lines[:split_set.get(split)],
-                        "filepath": filepath,
-                    },
-                ),
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_dev"])},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
             )
-            lines = lines[split_set.get(split):]
+        ]
 
-        return split_generators
-
-    def _generate_examples(self, filepath: str, tsv_file):
+    def _generate_examples(self, filepath: str):
 
         if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
-            
-            for line in tsv_file:
-                audio_id, speaker_id, transcription_text = line[0], line[1], line[2]
-                
-                wav_path = os.path.join(filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.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
-
-        else:
-            raise ValueError(f"Invalid config: {self.config.name}")
+
+            tsv_file = os.path.join(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]
+
+                    wav_path = os.path.join(filepath, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.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
+
+    else:
+        raise ValueError(f"Invalid config: {self.config.name}")