Update asr_sundanese_2_hub.py

asr_sundanese_2_hub.py

@@ -114,57 +114,51 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        """Returns SplitGenerators."""
-        # As the data is already split manually, we only need to download and pass the paths
-        train_path = dl_manager.download_and_extract(_URLs["su_id_asr_train"])
-        val_path = dl_manager.download_and_extract(_URLs["su_id_asr_val"])
-        test_path = dl_manager.download_and_extract(_URLs["su_id_asr_test"])
-    
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": train_path},
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": val_path},
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_val"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": test_path},
-            ),
+                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
+            )
         ]
 
     def _generate_examples(self, filepath: Path):
-        """Yields examples."""
-        tsv_file = os.path.join(filepath, "utt_spk_text.tsv")
-        
-        with open(tsv_file, "r", encoding="utf-8") as f:
-            tsv_reader = csv.reader(f, delimiter="\t")
-            for line in tsv_reader:
-                audio_id, sp_id, text = line[0], line[1], line[2]
-                wav_path = os.path.join(filepath, "data", f"{audio_id}.flac")
-    
-                if os.path.exists(wav_path):
-                    if self.config.schema == "source":
-                        ex = {
-                            "id": audio_id,
-                            "speaker_id": sp_id,
-                            "path": wav_path,
-                            "audio": wav_path,
-                            "text": text,
-                        }
-                    elif self.config.schema == "seacrowd_sptext":
-                        ex = {
-                            "id": audio_id,
-                            "speaker_id": sp_id,
-                            "path": wav_path,
-                            "audio": wav_path,
-                            "text": text,
-                            "metadata": {
-                                "speaker_age": None,
-                                "speaker_gender": None,
-                            },
-                        }
-                    yield audio_id, ex
+        for key, fp in filepath.items():
+            tsv_file = os.path.join(fp, "utt_spk_text.tsv")
+            with open(tsv_file, "r") as f:
+                tsv_file = csv.reader(f, delimiter="\t")
+                for line in tsv_file:
+                    audio_id, sp_id, text = line[0], line[1], line[2]
+                    wav_path = os.path.join(fp, "data", "{}.flac".format(audio_id))
+
+                    if os.path.exists(wav_path):
+                        if self.config.schema == "source":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": sp_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": text,
+                            }
+                            yield audio_id, ex
+                        elif self.config.schema == "seacrowd_sptext":
+                            ex = {
+                                "id": audio_id,
+                                "speaker_id": sp_id,
+                                "path": wav_path,
+                                "audio": wav_path,
+                                "text": text,
+                                "metadata": {
+                                    "speaker_age": None,
+                                    "speaker_gender": None,
+                                },
+                            }
+                            yield audio_id, ex
             f.close()