edit giles

su_id_asr_split.py

@@ -95,41 +95,53 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        base_path_train = dl_manager.download_and_extract(_URLs["su_id_asr_train"])
+        base_path_validation = dl_manager.download_and_extract(_URLs["su_id_asr_dev"])
+        base_path_test = dl_manager.download_and_extract(_URLs["su_id_asr_test"])
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_train"])},
+                gen_kwargs={"filepath": os.path.join(base_path_train, "train")},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_dev"])},
+                gen_kwargs={"filepath": os.path.join(base_path_validation, "validation")},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": dl_manager.download_and_extract(_URLs["su_id_asr_test"])},
-            )
+                gen_kwargs={"filepath": os.path.join(base_path_test, "test")},
+            ),
         ]
 
     def _generate_examples(self, filepath: str):
-        tsv_file = os.path.join(filepath, "asr_sundanese", "utt_spk_text.tsv")
+        """Yields examples as (key, example) tuples."""
+        if 'train' in filepath:
+            tsv_file = os.path.join(filepath, "train_utt_spk_text.tsv")
+        elif 'validation' in filepath:
+            tsv_file = os.path.join(filepath, "validation_utt_spk_text.tsv")
+        elif 'test' in filepath:
+            tsv_file = os.path.join(filepath, "test_utt_spk_text.tsv")
+        else:
+            raise ValueError(f"Unexpected filepath: {filepath}")
+
         with open(tsv_file, "r") as f:
-            tsv_file = csv.reader(f, delimiter="\t")
-            for line in tsv_file:
+            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, "asr_sundanese", "data", "{}".format(audio_id[:2]), "{}.flac".format(audio_id))
+                wav_path = os.path.join(filepath, "{}.flac".format(audio_id))
 
                 if os.path.exists(wav_path):
                     if self.config.schema == "source":
-                        ex = {
+                        yield audio_id, {
                             "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 = {
+                        yield audio_id, {
                             "id": audio_id,
                             "speaker_id": sp_id,
                             "path": wav_path,
@@ -139,6 +151,4 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
                                 "speaker_age": None,
                                 "speaker_gender": None,
                             },
-                        }
-                        yield audio_id, ex
-        f.close()
+                        }