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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 14 new columns ({'functions', 'self_method_not_found', 'resolved_calls', 'attribute_call', 'parse_errors', 'modules_parsed', 'external_deps', 'resolved_pct', 'unresolved_total', 'files_scanned', 'status', 'name_call_unresolved', 'governance_gate', 'classes'}) and 6 missing columns ({'java_summary', 'javascript_files_found', 'java_files_found', 'c_cpp_files_found', 'javascript_summary', 'c_cpp_summary'}).

This happened while the json dataset builder was generating data using

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'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_toga.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_transformers.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_u-boot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ui5-webcomponents.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ultralytics.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_vscode.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_whisper.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_xarray.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zephyr.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zipline.json']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              repo: string
              status: string
              files_scanned: int64
              modules_parsed: int64
              functions: int64
              classes: int64
              external_deps: int64
              resolved_calls: int64
              unresolved_total: int64
              resolved_pct: double
              governance_gate: string
              parse_errors: int64
              attribute_call: int64
              name_call_unresolved: int64
              self_method_not_found: int64
              to
              {'repo': Value('string'), 'c_cpp_files_found': Value('int64'), 'c_cpp_summary': {'files_with_data': Value('int64'), 'functions': Value('int64'), 'classes': Value('int64'), 'external_deps': Value('int64'), 'resolved_calls': Value('int64'), 'unresolved_calls': Value('int64'), 'resolved_pct': Value('float64'), 'parse_errors': Value('int64')}, 'javascript_files_found': Value('int64'), 'javascript_summary': {'files_with_data': Value('int64'), 'functions': Value('int64'), 'classes': Value('int64'), 'external_deps': Value('int64'), 'resolved_calls': Value('int64'), 'unresolved_calls': Value('int64'), 'resolved_pct': Value('float64'), 'parse_errors': Value('int64')}, 'java_files_found': Value('int64'), 'java_summary': {'files_with_data': Value('int64'), 'functions': Value('int64'), 'classes': Value('int64'), 'external_deps': Value('int64'), 'resolved_calls': Value('int64'), 'unresolved_calls': Value('int64'), 'resolved_pct': Value('float64'), 'parse_errors': Value('int64')}}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1361, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 14 new columns ({'functions', 'self_method_not_found', 'resolved_calls', 'attribute_call', 'parse_errors', 'modules_parsed', 'external_deps', 'resolved_pct', 'unresolved_total', 'files_scanned', 'status', 'name_call_unresolved', 'governance_gate', 'classes'}) and 6 missing columns ({'java_summary', 'javascript_files_found', 'java_files_found', 'c_cpp_files_found', 'javascript_summary', 'c_cpp_summary'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation/MODULE2_FULL_SUMMARY.json (at revision 5d096bde03566d23fdde1a7320219618eb987932), ['hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/LANGUAGE_ADAPTERS_SUMMARY.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/MODULE2_FULL_SUMMARY.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_FreeCAD.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_LibreCAD.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_MetPy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_OpenMDAO.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_PyPSA.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_amaranth.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ardupilot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_astropy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_biopython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ccxt.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_circuitpython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_cocotb.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_cvxpy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_django.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_drake.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_dronekit-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_elasticsearch.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_fastapi.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ffmpeg-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_flask.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_geopandas.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_gnuradio.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_go.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_gst-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_hl7apy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_kivy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_kubernetes-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_librosa.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_micropython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_napalm.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_netmiko.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_networkx.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_nginx.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_nltk.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_odoo.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_opencv-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pandapower.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pennylane.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_poliastro.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pulp.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pulumi.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pwntools.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_py-evm.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pyNastran.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pydicom.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-igraph.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-jenkins.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-sgp4.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_qiskit.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_rclpy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_react.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_redis.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_rust.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_scapy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_shapely.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_solana-py.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_spaCy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_spring-boot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_toga.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_transformers.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_u-boot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ui5-webcomponents.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ultralytics.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_vscode.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_whisper.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_xarray.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zephyr.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zipline.json'], ['hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/LANGUAGE_ADAPTERS_SUMMARY.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/MODULE2_FULL_SUMMARY.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_FreeCAD.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_LibreCAD.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_MetPy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_OpenMDAO.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_PyPSA.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_amaranth.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ardupilot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_astropy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_biopython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ccxt.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_circuitpython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_cocotb.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_cvxpy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_django.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_drake.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_dronekit-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_elasticsearch.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_fastapi.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ffmpeg-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_flask.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_geopandas.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_gnuradio.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_go.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_gst-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_hl7apy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_kivy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_kubernetes-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_librosa.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_micropython.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_napalm.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_netmiko.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_networkx.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_nginx.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_nltk.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_odoo.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_opencv-python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pandapower.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pennylane.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_poliastro.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pulp.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pulumi.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pwntools.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_py-evm.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pyNastran.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_pydicom.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-igraph.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-jenkins.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python-sgp4.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_python.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_qiskit.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_rclpy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_react.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_redis.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_rust.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_scapy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_shapely.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_solana-py.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_spaCy.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_spring-boot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_toga.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_transformers.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_u-boot.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ui5-webcomponents.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_ultralytics.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_vscode.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_whisper.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_xarray.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zephyr.json', 'hf://datasets/ZeeshanSaud/CodeTruthAgent-V3-Module2-Evaluation@5d096bde03566d23fdde1a7320219618eb987932/graph_zipline.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

repo
string
c_cpp_files_found
int64
c_cpp_summary
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javascript_files_found
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javascript_summary
dict
java_files_found
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elasticsearch
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librosa
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MetPy
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OpenMDAO
null
null
null
null
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null
PyPSA
null
null
null
null
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amaranth
null
null
null
null
null
null
ardupilot
null
null
null
null
null
null
astropy
null
null
null
null
null
null
biopython
null
null
null
null
null
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ccxt
null
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null
null
null
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circuitpython
null
null
null
null
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cocotb
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cvxpy
null
null
null
null
null
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django
null
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null
null
null
null
drake
null
null
null
null
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null
dronekit-python
null
null
null
null
null
null
elasticsearch
null
null
null
null
null
null
fastapi
null
null
null
null
null
null
ffmpeg-python
null
null
null
null
null
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flask
null
null
null
null
null
null
geopandas
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null
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null
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gnuradio
null
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go
null
null
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gst-python
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null
null
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hl7apy
null
null
null
null
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kivy
null
null
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null
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kubernetes-python
null
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librosa
null
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micropython
null
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napalm
null
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null
null
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null
netmiko
null
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null
null
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null
End of preview.

CodeTruth Agent V3 — Module 2 — Evaluation Data

Raw validation output from CodeTruth Agent V3, Module 2: Repository Graph Engine — a deterministic, AST-based engine that maps a Python repository's structure as 6 graphs: functions, classes, modules, imports, dependencies, and resolved function/method calls.

Code: https://github.com/Zeeshan78699/CodeTruthAgent Release: https://github.com/Zeeshan78699/CodeTruthAgent/releases/tag/v3.0.0-module2

What's in this dataset

  • Per-repository graphs (69 graph_*.json files, e.g. graph_django.json, graph_redis.json) — full output from Module 2, one file per repository in the 69-repository validation set. Each contains function_graph, class_graph, module_graph, import_graph, dependency_graph, call_graph, unresolved, cyclic_clusters, governance_gate, and (where applicable) language_composition.
  • MODULE2_FULL_SUMMARY.{csv,json,md} — aggregate results across all 69 repositories (files scanned, functions, classes, resolved calls, unresolved breakdown, governance gate per repo).
  • LANGUAGE_ADAPTERS_SUMMARY.{csv,json,md} — results from the multi-language extension scaffold (Java, JavaScript/TypeScript, C/C++ adapters) across the same 69 repositories.

Headline numbers

  • 69 repositories, 0 crashes
  • 49,379 Python files, 515,610 functions, 84,468 classes
  • 1,005,321 resolved call edges
  • 65/69 governance gate APPROVED, 4/69 correctly BLOCKED (non-Python repos)

Why these files are here (not on GitHub)

Two of the per-repo graphs (graph_transformers.json, graph_odoo.json) exceed GitHub's 100MB file-size limit, and several others exceed its 50MB recommendation. All 69 are hosted here together for completeness and reproducibility.

License

GPLv3, matching the source project.

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