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Datasets:
kirys79
/
piper_italiano

Tasks:
Text-to-Speech
Languages:
Italian
License:
Dataset card Files Community
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Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 186, in _split_generators
                  raise ValueError("`file_name` must be present as dictionary key in metadata files")
              ValueError: `file_name` must be present as dictionary key in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Piper Italiano

Sto cercando di creare un nuovo checkpoint per PiperTTS in italiano.

La fonte per il traine è il Multilingual LibriSpeech (MLS) rilasciato sotto licenza Creative Commons

Qui metterò i dataset estratti dal suddetto blocco dati

Il dataset è nel formato che gradisce PiperTTS come indicato a questo link

  • Aurora è lo speaker 6807
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