Datasets:

liyongsea

/

PTB-XL-ss

like 0

Error code:   NormalRowsError
Exception:    DatasetGenerationError
Message:      An error occurred while generating the dataset
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 126, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/utils.py", line 64, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 103, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1384, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 85, in _generate_tables
                  parquet_file = pq.ParquetFile(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 341, in __init__
                  self.reader.open(
                File "pyarrow/_parquet.pyx", line 1261, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/types.pxi", line 88, in pyarrow.lib._datatype_to_pep3118
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow_hotfix/__init__.py", line 47, in __arrow_ext_deserialize__
                  raise RuntimeError(
              RuntimeError: Disallowed deserialization of 'arrow.py_extension_type':
              storage_type = list<item: list<item: float>>
              serialized = b'\x80\x04\x95L\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array2DExtensionType\x94\x93\x94M\x88\x13K\x0c\x86\x94\x8c\x07float32\x94\x86\x94R\x94.'
              pickle disassembly:
                  0: \x80 PROTO      4
                  2: \x95 FRAME      76
                 11: \x8c SHORT_BINUNICODE 'datasets.features.features'
                 39: \x94 MEMOIZE    (as 0)
                 40: \x8c SHORT_BINUNICODE 'Array2DExtensionType'
                 62: \x94 MEMOIZE    (as 1)
                 63: \x93 STACK_GLOBAL
                 64: \x94 MEMOIZE    (as 2)
                 65: M    BININT2    5000
                 68: K    BININT1    12
                 70: \x86 TUPLE2
                 71: \x94 MEMOIZE    (as 3)
                 72: \x8c SHORT_BINUNICODE 'float32'
                 81: \x94 MEMOIZE    (as 4)
                 82: \x86 TUPLE2
                 83: \x94 MEMOIZE    (as 5)
                 84: R    REDUCE
                 85: \x94 MEMOIZE    (as 6)
                 86: .    STOP
              highest protocol among opcodes = 4
              
              
              Reading of untrusted Parquet or Feather files with a PyExtensionType column
              allows arbitrary code execution.
              If you trust this file, you can enable reading the extension type by one of:
              
              - upgrading to pyarrow >= 14.0.1, and call `pa.PyExtensionType.set_auto_load(True)`
              - disable this error by running `import pyarrow_hotfix; pyarrow_hotfix.uninstall()`
              
              We strongly recommend updating your Parquet/Feather files to use extension types
              derived from `pyarrow.ExtensionType` instead, and register this type explicitly.
              See https://arrow.apache.org/docs/dev/python/extending_types.html#defining-extension-types-user-defined-types
              for more details.
              
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1973, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 85, in _generate_tables
                  parquet_file = pq.ParquetFile(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 341, in __init__
                  self.reader.open(
                File "pyarrow/_parquet.pyx", line 1261, in pyarrow._parquet.ParquetReader.open
                File "pyarrow/types.pxi", line 88, in pyarrow.lib._datatype_to_pep3118
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow_hotfix/__init__.py", line 47, in __arrow_ext_deserialize__
                  raise RuntimeError(
              RuntimeError: Disallowed deserialization of 'arrow.py_extension_type':
              storage_type = list<item: list<item: float>>
              serialized = b'\x80\x04\x95L\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array2DExtensionType\x94\x93\x94M\x88\x13K\x0c\x86\x94\x8c\x07float32\x94\x86\x94R\x94.'
              pickle disassembly:
                  0: \x80 PROTO      4
                  2: \x95 FRAME      76
                 11: \x8c SHORT_BINUNICODE 'datasets.features.features'
                 39: \x94 MEMOIZE    (as 0)
                 40: \x8c SHORT_BINUNICODE 'Array2DExtensionType'
                 62: \x94 MEMOIZE    (as 1)
                 63: \x93 STACK_GLOBAL
                 64: \x94 MEMOIZE    (as 2)
                 65: M    BININT2    5000
                 68: K    BININT1    12
                 70: \x86 TUPLE2
                 71: \x94 MEMOIZE    (as 3)
                 72: \x8c SHORT_BINUNICODE 'float32'
                 81: \x94 MEMOIZE    (as 4)
                 82: \x86 TUPLE2
                 83: \x94 MEMOIZE    (as 5)
                 84: R    REDUCE
                 85: \x94 MEMOIZE    (as 6)
                 86: .    STOP
              highest protocol among opcodes = 4
              
              
              Reading of untrusted Parquet or Feather files with a PyExtensionType column
              allows arbitrary code execution.
              If you trust this file, you can enable reading the extension type by one of:
              
              - upgrading to pyarrow >= 14.0.1, and call `pa.PyExtensionType.set_auto_load(True)`
              - disable this error by running `import pyarrow_hotfix; pyarrow_hotfix.uninstall()`
              
              We strongly recommend updating your Parquet/Feather files to use extension types
              derived from `pyarrow.ExtensionType` instead, and register this type explicitly.
              See https://arrow.apache.org/docs/dev/python/extending_types.html#defining-extension-types-user-defined-types
              for more details.
              
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 158, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/utils.py", line 64, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 87, in get_rows
                  ds = load_dataset(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2549, in load_dataset
                  builder_instance.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1005, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1100, 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 1860, 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 2016, 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