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Cannot load the dataset split (in streaming mode) to extract the first rows.
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 match

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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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