The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 306, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Joern C++ GitHub 300: source inventory
A research inventory for testing C++ parser and source-CFG tooling. It records 300 distinct public GitHub repositories and 578 selected C++ source files, plus two repositories where selection found no suitable file. Source files are not redistributed: manifest.json records exact repository commits, upstream paths, Git blob hashes, SHA-256 hashes, raw source URLs, and GitHub-reported repository SPDX identifiers. The repository-level SPDX value is discovery metadata, not a file-level licensing determination. Review each upstream project and file before downloading or redistributing it.
This is an unqualified source inventory, not a benchmark leaderboard, a verified CFG oracle, a dataset of compilable translation units, or a claim of standard/version coverage. Source files are selected from public GitHub repository search results stratified by project creation date and a compiler topic query. Rankings and API availability introduce selection bias. The original Ninja, Snappy and double-conversion corpora were excluded. GitHub tree truncation is recorded; the largest-file choice applies only to the returned eligible tree, not necessarily the whole repository. Two entries may point to the same project if upstream projects have copied sources; distinct repositories do not prove independent codebases.
Per repository, the selection favors a non-vendored C++ implementation file and, where different, the largest eligible implementation file between 256 bytes and 200,000 bytes. It is a discovery sample rather than a curated set of representative whole projects. Search queries, unsuccessful selection, exact commits and hashes are preserved in the manifest. GNU/C++ standard, actual build flags, generated headers, dependencies, source ownership, license exceptions and target configuration have not been established. Projects may change or disappear; immutable commit URLs and hashes provide verification when still available.
The local initial diagnostic ran Rust-Joern in strict mode against raw files. Such files often require headers and macro expansion, so rejections do not measure parser quality. A separate standalone Clang C++17 qualification was attempted on all 578 files: 564 were rejected or lacked build context; 8 compiler-accepted files were rejected by Rust-Joern after preprocessing, and 6 produced no functions. Details and limited owner-only diagnostics are in diagnostic-summary.json. Neither that setting nor a successful parse proves the original project's build mode or CFG correctness. Original Joern and trustworthy compiler-backed CFG comparisons are future work.
Selection and run tooling: https://github.com/sjkim1127/joern-c-cpp-corpus . The initial tooling is pinned at commit 27fe5ea in that repository. No source file contents or compiler-generated/preprocessed files are uploaded in this dataset.
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