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Could not read the parquet files: Disallowed deserialization of 'arrow.py_extension_type':
storage_type = list<item: list<item: list<item: float>>>
serialized = b'\x80\x04\x95M\x00\x00\x00\x00\x00\x00\x00\x8c\x1adatasets.features.features\x94\x8c\x14Array3DExtensionType\x94\x93\x94K0K0K0\x87\x94\x8c\x07float32\x94\x86\x94R\x94.'
pickle disassembly:
0: \x80 PROTO 4
2: \x95 FRAME 77
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 48
67: K BININT1 48
69: K BININT1 48
71: \x87 TUPLE3
72: \x94 MEMOIZE (as 3)
73: \x8c SHORT_BINUNICODE 'float32'
82: \x94 MEMOIZE (as 4)
83: \x86 TUPLE2
84: \x94 MEMOIZE (as 5)
85: R REDUCE
86: \x94 MEMOIZE (as 6)
87: . 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? Open a discussion for direct support.
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(https://huggingface.co/docs/hub/datasets-cards)
Subset of the DMU datast (https://www.dmu-net.org/) with
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