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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/src/worker/job_runners/config/split_names.py", line 154, in compute
compute_split_names_from_info_response(
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 126, in compute_split_names_from_info_response
config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config)
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/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, 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/parquet/parquet.py", line 62, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 3687, in read_schema
file = ParquetFile(
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 1262, 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@K@K\x03\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 64
67: K BININT1 64
69: K BININT1 3
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.
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 72, 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 572, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, 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.Need help to make the dataset viewer work? Open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
This is an upload of imagenet_resized/64x64 from tensorflow datasets, (but shuffled before uploading).
The homepage of imagenet_resized is: https://patrykchrabaszcz.github.io/Imagenet32/
imagenet_resized is a derivative of imagenet (and also available to download from there): https://image-net.org/index.php
Warning: The integer labels used are defined by the authors and do not match those from the other ImageNet datasets provided by Tensorflow datasets. See the original label list, and the labels used by this dataset. Additionally, the original authors 1 index there labels which we convert to 0 indexed by subtracting one.
— From the tensorflow datasets page.
The data in this dataset is of the format:
{
"image": Array3D(shape=(64, 64, 3), dtype="uint8"),
"label": Value(dtype="int32"),
}
- There are 1,281,167 samples in the train split.
- There are 50,000 samples in the validation split.
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