Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1387, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1338, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
raise ReadError(str(e)) from None
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 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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.
BCSD Dataset
A dataset for Binary Code Similarity Detection (BCSD). It contains C/C++ programs compiled with two compilers (GCC, Clang) at five optimization levels (O0, O1, O2, O3, Os) on x86-64, together with their disassembly and precomputed function embeddings.
Contents
| File | Size | Description |
|---|---|---|
sources.tar.zst |
22 MB | Original source files (C, C++, Go, Rust) |
binaries.tar.zst |
1.85 GB | Compiled ELF binaries (114,532 files) |
disasm.tar.zst |
47 MB | Linear disassembly (angr), one JSON per binary |
disasm_jtrans.tar.zst |
99 MB | Basic-block disassembly for jTrans models |
embeddings.tar.zst |
538 MB | Per-function embeddings (.npy) for each approach |
Statistics: 11,639 source programs over 5,212 problems (AtCoder, LeetCode, Rosetta Code).
Path layout
The binaries, disasm, disasm_jtrans and embeddings archives use the same layout:
<compiler>/<arch>/<optim>/<dataset>/<problem>/<Lang>__impl_NN
example: clang/x86_64/Os/rosetta_code/binary_digits/Cpp__impl_01
Sources use sources/<dataset>/<problem>/<Lang>/impl_NN.ext.
Download
pip install -U "huggingface_hub[cli]"
# one file
hf download <user>/bcsd-dataset disasm.tar.zst --repo-type dataset --local-dir .
# everything
hf download <user>/bcsd-dataset --repo-type dataset --local-dir ./bcsd-dataset
Decompress
The archives are compressed with zstd. Install zstd (apt install zstd or brew install zstd),
then extract:
tar --use-compress-program=unzstd -xf disasm.tar.zst
# or, with a recent tar:
tar --zstd -xf disasm.tar.zst
Usage
Read a disassembly file (one JSON per binary):
import json
d = json.load(open("disasm/clang/x86_64/Os/rosetta_code/binary_digits/Cpp__impl_01.json"))
for fn in d["functions"]:
print(fn["name"], fn["nb_instructions"])
for mnemonic, operands in fn["instructions"]:
print(mnemonic, operands)
Load a function embedding (shape is (n_functions, dim)):
import numpy as np
v = np.load("embeddings/palmtree/clang/x86_64/Os/rosetta_code/binary_digits/Cpp__impl_01.npy")
print(v.shape) # (1, 128)
Embedding dimensions: baseline = 16, palmtree / refuse = 128, jtrans = 768.
The file embeddings/index.json maps each source_id::function to its embedding paths.
Notes
Only C and C++ are compiled in this release; Go and Rust appear in the sources only. The dataset is x86-64 only. Source programs come from AtCoder, LeetCode and Rosetta Code; please respect their terms when reusing.
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