Datasets:

chreh

/

train_data_full_preprocessed

like 0

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\xc9\x01K\x08\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 457 68: K BININT1 8 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.