Datasets:
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Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.9/tarfile.py", line 190, in nti
s = nts(s, "ascii", "strict")
File "/usr/local/lib/python3.9/tarfile.py", line 174, in nts
return s.decode(encoding, errors)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xce in position 3: ordinal not in range(128)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.9/tarfile.py", line 2588, in next
tarinfo = self.tarinfo.fromtarfile(self)
File "/usr/local/lib/python3.9/tarfile.py", line 1292, in fromtarfile
obj = cls.frombuf(buf, tarfile.encoding, tarfile.errors)
File "/usr/local/lib/python3.9/tarfile.py", line 1234, in frombuf
chksum = nti(buf[148:156])
File "/usr/local/lib/python3.9/tarfile.py", line 193, in nti
raise InvalidHeaderError("invalid header")
tarfile.InvalidHeaderError: invalid header
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 298, 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/webdataset/webdataset.py", line 77, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 31, in _get_pipeline_from_tar
for filename, f in tar_iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/track.py", line 50, in __iter__
for x in self.generator(*self.args):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1346, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1297, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
File "/usr/local/lib/python3.9/tarfile.py", line 1822, in open
t = cls(name, filemode, stream, **kwargs)
File "/usr/local/lib/python3.9/tarfile.py", line 1703, in __init__
self.firstmember = self.next()
File "/usr/local/lib/python3.9/tarfile.py", line 2600, in next
raise ReadError(str(e))
tarfile.ReadError: invalid header
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 65, 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 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, 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? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Assemblage Windows PE Dataset
This reposotory holds the public dataset for Assemblage Please note, the Assemblage code is published under the MIT license, while the dataset specify each binary's source code repository license, please obey the original repository's license.
About Assemblage
Assemblage consists a cloud-based distributed system for building large, diverse, corpuses of binaries and datasets (of x86-64 ELF and Windows PE executables) it generates. You can find the paper at this link.
Dataset Details
This public copy of Assemblage data consists of 91k Windows PE binaries, and the information are stored in binaries.csv and functions.csv. Due to the nature that binary files can't be put into csvs, a seperate binaries.tar.xz is included, and each file can be indexed by either its SHA-256 hash or the binary_path column.
The SQLite database winpe_pdbs.sqlite.tar.xz records all details about the binary files, including pdb path, function source code, comments.
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