Dataset Preview
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'speaker_id_map' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'speaker_id_map' with no child field to Parquet. Consider adding a dummy child field.
              
              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/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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audio
dict
espeak
dict
phoneme_type
string
num_symbols
int64
num_speakers
int64
inference
dict
phoneme_id_map
dict
speaker_id_map
dict
hop_length
int64
piper_version
string
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi-vn-x-south" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "id" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "en" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "en" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "en" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi-vn-x-south" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi-vn-x-south" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
{ "sample_rate": 22050 }
{ "voice": "vi" }
espeak
256
1
{ "noise_scale": 0.667, "length_scale": 1, "noise_w": 0.8 }
{ "0": [ 130 ], "1": [ 131 ], "2": [ 132 ], "3": [ 133 ], "4": [ 134 ], "5": [ 135 ], "6": [ 136 ], "7": [ 137 ], "8": [ 138 ], "9": [ 139 ], "_": [ 0 ], "^": [ 1 ], "$": [ 2 ], " ": [ 3 ], "!": [ 4 ]...
{}
256
1.3.0
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