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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 159, in compute compute_split_names_from_info_response( File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 131, 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 567, 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 2325, in read_schema file = ParquetFile( File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 318, in __init__ self.reader.open( File "pyarrow/_parquet.pyx", line 1482, in pyarrow._parquet.ParquetReader.open File "pyarrow/error.pxi", line 88, in pyarrow.lib.check_status 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: list<item: float>>>> serialized = b'\x80\x04\x95R\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array4DExtensionType\x94\x93\x94(K\x18M\x00\x01M\x00\x01K\x01t\x94\x8c\x07float32\x94\x86\x94R\x94.' pickle disassembly: 0: \x80 PROTO 4 2: \x95 FRAME 82 11: \x8c SHORT_BINUNICODE 'datasets.features.features' 39: \x94 MEMOIZE (as 0) 40: \x8c SHORT_BINUNICODE 'Array4DExtensionType' 62: \x94 MEMOIZE (as 1) 63: \x93 STACK_GLOBAL 64: \x94 MEMOIZE (as 2) 65: ( MARK 66: K BININT1 24 68: M BININT2 256 71: M BININT2 256 74: K BININT1 1 76: t TUPLE (MARK at 65) 77: \x94 MEMOIZE (as 3) 78: \x8c SHORT_BINUNICODE 'float32' 87: \x94 MEMOIZE (as 4) 88: \x86 TUPLE2 89: \x94 MEMOIZE (as 5) 90: R REDUCE 91: \x94 MEMOIZE (as 6) 92: . 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 75, 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.
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