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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
validation_id: string
subject_entity_id: string
actor_entity_id: string
policy_decision_id: string
correlation_id: string
check_kind: string
outcome: string
reason_code: string
evidence_refs: list<item: string>
child 0, item: string
performed_at: string
duration_ms: int64
modules_completed: list<item: string>
child 0, item: string
schema_version: string
training_track: string
valid_until: timestamp[s]
training_record_id: string
created_at: timestamp[s]
evidence_ref: string
certification_status: string
to
{'schema_version': Value('string'), 'training_record_id': Value('string'), 'subject_entity_id': Value('string'), 'training_track': Value('string'), 'modules_completed': List(Value('string')), 'certification_status': Value('string'), 'valid_until': Value('timestamp[s]'), 'evidence_ref': Value('string'), 'created_at': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
validation_id: string
subject_entity_id: string
actor_entity_id: string
policy_decision_id: string
correlation_id: string
check_kind: string
outcome: string
reason_code: string
evidence_refs: list<item: string>
child 0, item: string
performed_at: string
duration_ms: int64
modules_completed: list<item: string>
child 0, item: string
schema_version: string
training_track: string
valid_until: timestamp[s]
training_record_id: string
created_at: timestamp[s]
evidence_ref: string
certification_status: string
to
{'schema_version': Value('string'), 'training_record_id': Value('string'), 'subject_entity_id': Value('string'), 'training_track': Value('string'), 'modules_completed': List(Value('string')), 'certification_status': Value('string'), 'valid_until': Value('timestamp[s]'), 'evidence_ref': Value('string'), 'created_at': Value('timestamp[s]')}
because column names don't match
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
schema_version string | training_record_id string | subject_entity_id string | training_track string | modules_completed list | certification_status string | valid_until timestamp[s] | evidence_ref string | created_at timestamp[s] |
|---|---|---|---|---|---|---|---|---|
kye.training_record.v1 | kye:training:001 | kye:user:finance_owner_001 | KYE AI Worker Owner | [
"kye_fundamentals",
"authority_gates",
"commit_boundaries",
"evidence_packs",
"revocation"
] | completed | 2027-05-09T00:00:00 | kye:evidence-pack:training_001 | 2026-05-09T12:00:00 |
KYE Protocol™ — Validated Example Payloads
One example per schema, validated by the schema-validation CI in the source repo. Apache-2.0.
Includes the open data-governance contract examples (data-asset.json, data-use-manifest.json, dsar-evidence-pack.json, dsar-request.json).
Governance
This dataset is itself a governed data asset in the shape of the open kye.data_asset.v1 contract: classification public, licence Apache-2.0, provenance pinned to the GitHub source of truth, CI-validated before every mirror push. How KYE Protocol™ governs data assets at runtime: kyeprotocol.com/data-governance.html.
Source: github.com/KYE-Protocol
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