The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
$defs: struct<AcknowledgmentStep: struct<additionalProperties: bool, description: string, properties: struc (... 2955 chars omitted)
child 0, AcknowledgmentStep: struct<additionalProperties: bool, description: string, properties: struct<evaluation_time: struct<f (... 377 chars omitted)
child 0, additionalProperties: bool
child 1, description: string
child 2, properties: struct<evaluation_time: struct<format: string, title: string, type: string>, identity_mode: struct<e (... 249 chars omitted)
child 0, evaluation_time: struct<format: string, title: string, type: string>
child 0, format: string
child 1, title: string
child 2, type: string
child 1, identity_mode: struct<enum: list<item: string>, title: string, type: string>
child 0, enum: list<item: string>
child 0, item: string
child 1, title: string
child 2, type: string
child 2, kind: struct<const: string, title: string, type: string>
child 0, const: string
child 1, title: string
child 2, type: string
child 3, observed_at: struct<format: string, title: string, type: string>
child 0, format: string
child 1, title: string
child 2, type: string
child 4, status: struct<enum: list<item: string>, title: string, type: string>
child 0, enum: list<item: string>
...
g
child 4, recovery_event: string
child 5, restart: string
child 1, propertyName: string
child 1, oneOf: list<item: struct<$ref: string>>
child 0, item: struct<$ref: string>
child 0, $ref: string
child 1, maxItems: int64
child 2, minItems: int64
child 3, title: string
child 4, type: string
child 7, synthetic_evidence: struct<const: bool, title: string, type: string>
child 0, const: bool
child 1, title: string
child 2, type: string
child 8, title: struct<maxLength: int64, minLength: int64, title: string, type: string>
child 0, maxLength: int64
child 1, minLength: int64
child 2, title: string
child 3, type: string
required: list<item: string>
child 0, item: string
title: string
type: string
approved_configuration_sha256: string
ed25519_public_key: string
configuration_id: string
constraints: struct<mandatory_source_ids: list<item: string>, max_acceleration_mps2: double, max_correlation_dela (... 146 chars omitted)
child 0, mandatory_source_ids: list<item: string>
child 0, item: string
child 1, max_acceleration_mps2: double
child 2, max_correlation_delay_seconds: double
child 3, max_future_skew_seconds: double
child 4, max_observation_age_seconds: double
child 5, max_receive_delay_seconds: double
child 6, max_speed_mps: double
signer_id: string
schema_version: int64
scope_id: string
revision: int64
to
{'approved_configuration_sha256': Value('string'), 'configuration_id': Value('string'), 'constraints': {'mandatory_source_ids': List(Value('string')), 'max_acceleration_mps2': Value('float64'), 'max_correlation_delay_seconds': Value('float64'), 'max_future_skew_seconds': Value('float64'), 'max_observation_age_seconds': Value('float64'), 'max_receive_delay_seconds': Value('float64'), 'max_speed_mps': Value('float64')}, 'ed25519_public_key': Value('string'), 'revision': Value('int64'), 'schema_version': Value('int64'), 'scope_id': Value('string'), 'signer_id': Value('string')}
because column names don't match
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
$defs: struct<AcknowledgmentStep: struct<additionalProperties: bool, description: string, properties: struc (... 2955 chars omitted)
child 0, AcknowledgmentStep: struct<additionalProperties: bool, description: string, properties: struct<evaluation_time: struct<f (... 377 chars omitted)
child 0, additionalProperties: bool
child 1, description: string
child 2, properties: struct<evaluation_time: struct<format: string, title: string, type: string>, identity_mode: struct<e (... 249 chars omitted)
child 0, evaluation_time: struct<format: string, title: string, type: string>
child 0, format: string
child 1, title: string
child 2, type: string
child 1, identity_mode: struct<enum: list<item: string>, title: string, type: string>
child 0, enum: list<item: string>
child 0, item: string
child 1, title: string
child 2, type: string
child 2, kind: struct<const: string, title: string, type: string>
child 0, const: string
child 1, title: string
child 2, type: string
child 3, observed_at: struct<format: string, title: string, type: string>
child 0, format: string
child 1, title: string
child 2, type: string
child 4, status: struct<enum: list<item: string>, title: string, type: string>
child 0, enum: list<item: string>
...
g
child 4, recovery_event: string
child 5, restart: string
child 1, propertyName: string
child 1, oneOf: list<item: struct<$ref: string>>
child 0, item: struct<$ref: string>
child 0, $ref: string
child 1, maxItems: int64
child 2, minItems: int64
child 3, title: string
child 4, type: string
child 7, synthetic_evidence: struct<const: bool, title: string, type: string>
child 0, const: bool
child 1, title: string
child 2, type: string
child 8, title: struct<maxLength: int64, minLength: int64, title: string, type: string>
child 0, maxLength: int64
child 1, minLength: int64
child 2, title: string
child 3, type: string
required: list<item: string>
child 0, item: string
title: string
type: string
approved_configuration_sha256: string
ed25519_public_key: string
configuration_id: string
constraints: struct<mandatory_source_ids: list<item: string>, max_acceleration_mps2: double, max_correlation_dela (... 146 chars omitted)
child 0, mandatory_source_ids: list<item: string>
child 0, item: string
child 1, max_acceleration_mps2: double
child 2, max_correlation_delay_seconds: double
child 3, max_future_skew_seconds: double
child 4, max_observation_age_seconds: double
child 5, max_receive_delay_seconds: double
child 6, max_speed_mps: double
signer_id: string
schema_version: int64
scope_id: string
revision: int64
to
{'approved_configuration_sha256': Value('string'), 'configuration_id': Value('string'), 'constraints': {'mandatory_source_ids': List(Value('string')), 'max_acceleration_mps2': Value('float64'), 'max_correlation_delay_seconds': Value('float64'), 'max_future_skew_seconds': Value('float64'), 'max_observation_age_seconds': Value('float64'), 'max_receive_delay_seconds': Value('float64'), 'max_speed_mps': Value('float64')}, 'ed25519_public_key': Value('string'), 'revision': Value('int64'), 'schema_version': Value('int64'), 'scope_id': Value('string'), 'signer_id': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Oscillink Synthetic Robot Cell Exact-Byte Benchmark v1
Dataset summary
Project-authored synthetic cases and exact deterministic expected outputs for a closed-file robot-cell safety-supervisor demonstrator. Inputs model production intent, independent observations, source health, output uncertainty, authority probes, persistence, and staged recovery.
Intended use
Offline software regression, exact-byte reproducibility, policy inspection, and safety-manager demo fixtures. Verify the canonical manifest before use. No network, device, controller, or machine interface is represented.
SAFETY_MANAGER_DEMO.md is the generated field guide. The dependency-free read-only monitor in
demo/ is generated from all expected-result records and these metrics; it adds no hand-entered
score and exposes no command, reset, rearm, acknowledgment, or stop affordance.
Limitations
This is synthetic maintainer evidence, not field or application validation. It does not select or validate real limits, sensors, diagnostics, communications, controllers, final elements, stopping performance, independence, cybersecurity, or residual risk. Request creation and simulated receipt do not establish physical stopping. PLr, SIL, total stopping time, diagnostic coverage, application validation, and unresolved common-cause assumptions remain TBD pending a qualified target-system assessment.
License and rights
Apache-2.0 for project-authored records and documentation. No private keys, customer data,
copyrighted standards text, or third-party equipment data are included. The canonical public Dataset
is Maverick03511/safetyops-bench-v1; its companion static monitor is
Maverick03511/oscillink-safety-ops-demo.
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