alvinxrwui commited on
Commit
f780020
1 Parent(s): 97ee468

fix: change the url of the train, test, split dataset

Browse files
Files changed (1) hide show
  1. su_id_asr_6.py +10 -8
su_id_asr_6.py CHANGED
@@ -45,7 +45,7 @@ _SEACROWD_VERSION = "2024.06.20"
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  GROUP_DATASET_ID = 6
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- class SuIdASR(datasets.GeneratorBasedBuilder):
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  """su_id contains ~220K utterances for Sundanese ASR training data."""
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  BUILDER_CONFIGS = [
@@ -90,21 +90,23 @@ class SuIdASR(datasets.GeneratorBasedBuilder):
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  task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
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  )
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- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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- base_path = {}
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- base_path[id] = dl_manager.download_and_extract(_URLs["su_id_asr"].format(str(GROUP_DATASET_ID)))
 
 
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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- gen_kwargs={"filepath": f"{base_path}/train"},
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  ),
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  datasets.SplitGenerator(
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- name=datasets.Split.VALIDATION,
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- gen_kwargs={"filepath": f"{base_path}/validation"},
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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- gen_kwargs={"filepath": f"{base_path}/test"},
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  ),
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  ]
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  GROUP_DATASET_ID = 6
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+ class SuIdASR6(datasets.GeneratorBasedBuilder):
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  """su_id contains ~220K utterances for Sundanese ASR training data."""
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  BUILDER_CONFIGS = [
 
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  task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="text")],
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  )
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+ def _split_generators(self, dl_manager: datasets.DownloadManager):
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+ test_url = 'https://drive.google.com/file/d/1B3xhZHQ7d8Z0Baqfz_Abefo_i5Voizfi/view?usp=drive_link'
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+ train_url = 'https://drive.google.com/file/d/1vW7gfRr36WL7ezXzICJOkt3rYHViSWHr/view?usp=drive_link'
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+ val_url = 'https://drive.google.com/file/d/1wUWXmuAkMMZIlo5Is3M1Ndf6NcHa9jnf/view?usp=drive_link'
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+
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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+ gen_kwargs={"file_list": dl_manager.download_and_extract(train_url)},
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  ),
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  datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ gen_kwargs={"file_list": dl_manager.download_and_extract(val_url)},
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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+ gen_kwargs={"file_list": dl_manager.download_and_extract(test_url)},
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  ),
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  ]
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