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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: object of type 'numpy.int64' has no len()
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1624, in _prepare_split_single
example = self.info.features.encode_example(record) if self.info.features is not None else record
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1993, in encode_example
return encode_nested_example(self, example)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1282, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1282, in <dictcomp>
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1347, in encode_nested_example
return [encode_nested_example(schema.feature, o, level=level + 1) for o in obj]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1347, in <listcomp>
return [encode_nested_example(schema.feature, o, level=level + 1) for o in obj]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1338, in encode_nested_example
if len(obj) > 0:
TypeError: object of type 'numpy.int64' has no len()
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1648, in _download_and_prepare
super()._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__key__ string | __url__ string | npy sequence |
|---|---|---|
tokens/acoustic/LJ001-0001 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
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291,
451,
1000,
413,
1021,
838,
650,
502,
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533,
... |
tokens/acoustic/LJ001-0002 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
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... |
tokens/acoustic/LJ001-0003 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
[
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... |
tokens/acoustic/LJ001-0004 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
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1... |
tokens/acoustic/LJ001-0005 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
[
475,
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... |
tokens/acoustic/LJ001-0006 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [
[
922,
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738,
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... |
tokens/acoustic/LJ001-0007 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [[370,337,642,907,151,942,317,942,881,347,983,950,950,275,683,356,356,392,3,656,743,466,466,954,503,(...TRUNCATED) |
tokens/acoustic/LJ001-0008 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [[779,807,112,936,683,942,1001,463,148,148,160,160,160,855,651,868,182,936,984,413,333,841,548,548,5(...TRUNCATED) |
tokens/acoustic/LJ001-0009 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [[339,731,779,871,641,743,892,98,441,61,980,656,921,43,936,942,779,73,549,899,53,53,1021,913,319,937(...TRUNCATED) |
tokens/acoustic/LJ001-0010 | hf://datasets/cmeraki/lj_speech@31ad70607367a0ed1f09380f61ecf99c80251251/acoustic.tar | [[738,945,291,698,945,344,6,441,954,146,222,841,730,939,504,233,280,372,239,747,20,402,20,1022,402,2(...TRUNCATED) |
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