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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f4a69ac3680>'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/xml/xml.py", line 67, in _generate_tables
with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 967, in xopen
return open(main_hop, mode, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f4a69ac3680>'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.
PoC: OpenVINO IR Format shape_size() Overflow Bypasses Constant Validation
Summary
The OpenVINO IR format deserializer validates Constant node data size using shape_size(shape) * el_type.bitwidth(). Since shape_size() uses std::multiplies with no overflow detection, large shape dimensions cause signed integer overflow (UB), producing a zero result that passes the check. A Constant is created with a massive shape backed by only 16 bytes of data.
Confirmed on OpenVINO 2025.4.1 — Constant created with shape [4294967296, 4294967296] backed by 16 bytes.
Root Cause
xml_deserialize_util.cpp:916:
if (ov::shape_size(shape) * el_type.bitwidth() / 8 > size) {
OPENVINO_THROW("Incorrect weights in bin file!");
}
With shape {2^32, 2^32}:
shape_size = 2^32 * 2^32 = 2^64 = 0 (overflow)- Check:
0 * 32 / 8 > 16→0 > 16→ false → passes
Also: get_uint64_attr uses stoll (signed) instead of stoull, capping attribute values at INT64_MAX.
Files
malicious_shape_overflow.xml— IR model with overflowing shape dimensionsmalicious_shape_overflow.bin— weights file (16 bytes)poc_ir_shape_overflow.py— PoC generator script
Reproduction
pip install openvino
python poc_ir_shape_overflow.py
python -c "
import openvino as ov
core = ov.Core()
model = core.read_model('malicious_shape_overflow.xml', 'malicious_shape_overflow.bin')
for node in model.get_ordered_ops():
if node.get_type_name() == 'Constant':
print(f'Shape: {node.get_output_shape(0)}') # [4294967296,4294967296]
"
Affected Versions
All OpenVINO versions with IR format support.
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