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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: RuntimeError
Message: Disallowed deserialization of 'arrow.py_extension_type':
storage_type = list<item: list<item: list<item: uint8>>>
serialized = b'\x80\x04\x95K\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array3DExtensionType\x94\x93\x94K\x1cK\x1cK\x01\x87\x94\x8c\x05uint8\x94\x86\x94R\x94.'
pickle disassembly:
0: \x80 PROTO 4
2: \x95 FRAME 75
11: \x8c SHORT_BINUNICODE 'datasets.features.features'
39: \x94 MEMOIZE (as 0)
40: \x8c SHORT_BINUNICODE 'Array3DExtensionType'
62: \x94 MEMOIZE (as 1)
63: \x93 STACK_GLOBAL
64: \x94 MEMOIZE (as 2)
65: K BININT1 28
67: K BININT1 28
69: K BININT1 1
71: \x87 TUPLE3
72: \x94 MEMOIZE (as 3)
73: \x8c SHORT_BINUNICODE 'uint8'
80: \x94 MEMOIZE (as 4)
81: \x86 TUPLE2
82: \x94 MEMOIZE (as 5)
83: R REDUCE
84: \x94 MEMOIZE (as 6)
85: . 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.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
compute_first_rows_from_parquet_response(
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
rows_index = indexer.get_rows_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 444, in get_rows_index
return RowsIndex(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 347, in __init__
self.parquet_index = self._init_parquet_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 364, in _init_parquet_index
response = get_previous_step_or_raise(
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, in get_previous_step_or_raise
raise CachedArtifactError(
libcommon.simple_cache.CachedArtifactError: The previous step failed.
During handling of the above exception, another exception occurred:
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 1388, 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: list<item: uint8>>>
serialized = b'\x80\x04\x95K\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array3DExtensionType\x94\x93\x94K\x1cK\x1cK\x01\x87\x94\x8c\x05uint8\x94\x86\x94R\x94.'
pickle disassembly:
0: \x80 PROTO 4
2: \x95 FRAME 75
11: \x8c SHORT_BINUNICODE 'datasets.features.features'
39: \x94 MEMOIZE (as 0)
40: \x8c SHORT_BINUNICODE 'Array3DExtensionType'
62: \x94 MEMOIZE (as 1)
63: \x93 STACK_GLOBAL
64: \x94 MEMOIZE (as 2)
65: K BININT1 28
67: K BININT1 28
69: K BININT1 1
71: \x87 TUPLE3
72: \x94 MEMOIZE (as 3)
73: \x8c SHORT_BINUNICODE 'uint8'
80: \x94 MEMOIZE (as 4)
81: \x86 TUPLE2
82: \x94 MEMOIZE (as 5)
83: R REDUCE
84: \x94 MEMOIZE (as 6)
85: . 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.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Source: https://github.com/google-research/mnist-c
MNIST-C
This repository contains the source code used to create the MNIST-C dataset, a corrupted MNIST benchmark for testing out-of-distribution robustness of computer vision models.
Please see our full paper https://arxiv.org/abs/1906.02337 for more details.
Dataset
The static dataset is available for download at https://zenodo.org/record/3239543.
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