Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<python: struct<votes: int64, translation_units: int64, declarations: int64>, sql: struct<votes: int64, translation_units: int64, declarations: int64>>
to
{'python': {'votes': Value('int64'), 'translation_units': Value('int64'), 'declarations': Value('int64')}}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<python: struct<votes: int64, translation_units: int64, declarations: int64>, sql: struct<votes: int64, translation_units: int64, declarations: int64>>
to
{'python': {'votes': Value('int64'), 'translation_units': Value('int64'), 'declarations': Value('int64')}}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.
CodeTruth Agent V3 — Module 3 Evaluation
Reproducible validation evidence for Module 3 (Repository Reasoning Engine)
of CodeTruth Agent V3, frozen at tag v3.0.0-module3.
CodeTruth is a deterministic, AI-model-free static analysis tool. Module 3 adds inheritance and dispatch reasoning (C3 MRO, super()) over the Module 2 call graph, with zero fabricated edges. Every unresolved call carries a documented reason.
Contents
Inheritance resolution baselines (before/after the reasoning layer):
| File | What it shows |
|---|---|
inheritance_baseline_PRE.json |
Inheritance resolution BEFORE C3 MRO / super() reasoning. |
inheritance_baseline.json |
Inheritance resolution AFTER — the measured delta. |
Five-domain validation reports (full analysis output per domain):
| File | Domain | Repository |
|---|---|---|
flask_web_report.json |
Web | Flask |
fluids_scientific_report.json |
Scientific computing | fluids |
click_cli_report.json |
CLI tooling | click |
poliastro_aerospace_report.json |
Aerospace / astrodynamics | poliastro |
pydicom_medical_report.json |
Medical imaging | pydicom |
pydicom_cve_2026_32711_impact.json |
Security-fix scoping | pydicom (CVE-2026-32711) |
Validation summary
Verified across five engineering domains, six report types each, three
documentation paradigms. Every number reconciles; guesses: 0 throughout.
Security-fix scoping on CVE-2026-32711 (a CWE-22 path traversal in pydicom's
FileSet) pointed at the exact vulnerable methods the official advisory identifies
— FileInstance.path, FileSet.copy/write — while making zero fabricated
security claims. The vulnerability itself is a missing data-flow containment
check, which static call-graph analysis correctly does not claim to detect.
Related
- Code: https://github.com/Zeeshan78699/CodeTruthAgent (tag
v3.0.0-module3) - Companion datasets: CodeTruthAgent-V3-Module1-Evaluation · CodeTruthAgent-V3-Module2-Evaluation
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