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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
$id: string
$schema: string
title: string
description: string
type: string
required: list<item: string>
  child 0, item: string
additionalProperties: bool
properties: struct<schema_version: struct<type: string, const: string>, profile_id: struct<type: string, pattern (... 665 chars omitted)
  child 0, schema_version: struct<type: string, const: string>
      child 0, type: string
      child 1, const: string
  child 1, profile_id: struct<type: string, pattern: string>
      child 0, type: string
      child 1, pattern: string
  child 2, display_name: struct<type: string>
      child 0, type: string
  child 3, category: struct<enum: list<item: string>>
      child 0, enum: list<item: string>
          child 0, item: string
  child 4, version: struct<type: string, pattern: string>
      child 0, type: string
      child 1, pattern: string
  child 5, description: struct<type: string>
      child 0, type: string
  child 6, required_kye_profiles: struct<type: string, items: struct<type: string>, minItems: int64>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
      child 2, minItems: int64
  child 7, recommended_kye_profiles: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 8, required_objects: struct<type: string, items: struct<enum: list<item: string>>, minItems: int64, uniqueItems: bool>
      child 0, type: string
      child 1, items: struct<enum: list<item: string>>
          child 0, enum: list<item: string>
              child 0, item: string
      child 2, minItems: int64
      child 3, uniqueItems: bool
  child 9, decision_types: struct<type: string, items: struct<enum: list<item: string>>, minItems: int64, uniqueItems: bool>
      child 0, type: string
      child 1, items: struct<enum: list<item: string>>
          child 0, enum: list<item: string>
              child 0, item: string
      child 2, minItems: int64
      child 3, uniqueItems: bool
  child 10, status: struct<enum: list<item: string>>
      child 0, enum: list<item: string>
          child 0, item: string
  child 11, created_at: struct<type: string, format: string>
      child 0, type: string
      child 1, format: string
to
{'$id': Value('string'), '$schema': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'access_right_id': {'$ref': Value('string')}, 'granted_to_entity_id': {'$ref': Value('string')}, 'granted_by_entity_id': {'$ref': Value('string')}, 'subject_entity_id': {'$ref': Value('string')}, 'right_key': {'type': Value('string')}, 'resource_pattern': {'type': Value('string')}, 'scope': {'$ref': Value('string')}, 'status': {'enum': List(Value('string'))}, 'expires_at': {'$ref': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              $id: string
              $schema: string
              title: string
              description: string
              type: string
              required: list<item: string>
                child 0, item: string
              additionalProperties: bool
              properties: struct<schema_version: struct<type: string, const: string>, profile_id: struct<type: string, pattern (... 665 chars omitted)
                child 0, schema_version: struct<type: string, const: string>
                    child 0, type: string
                    child 1, const: string
                child 1, profile_id: struct<type: string, pattern: string>
                    child 0, type: string
                    child 1, pattern: string
                child 2, display_name: struct<type: string>
                    child 0, type: string
                child 3, category: struct<enum: list<item: string>>
                    child 0, enum: list<item: string>
                        child 0, item: string
                child 4, version: struct<type: string, pattern: string>
                    child 0, type: string
                    child 1, pattern: string
                child 5, description: struct<type: string>
                    child 0, type: string
                child 6, required_kye_profiles: struct<type: string, items: struct<type: string>, minItems: int64>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                    child 2, minItems: int64
                child 7, recommended_kye_profiles: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 8, required_objects: struct<type: string, items: struct<enum: list<item: string>>, minItems: int64, uniqueItems: bool>
                    child 0, type: string
                    child 1, items: struct<enum: list<item: string>>
                        child 0, enum: list<item: string>
                            child 0, item: string
                    child 2, minItems: int64
                    child 3, uniqueItems: bool
                child 9, decision_types: struct<type: string, items: struct<enum: list<item: string>>, minItems: int64, uniqueItems: bool>
                    child 0, type: string
                    child 1, items: struct<enum: list<item: string>>
                        child 0, enum: list<item: string>
                            child 0, item: string
                    child 2, minItems: int64
                    child 3, uniqueItems: bool
                child 10, status: struct<enum: list<item: string>>
                    child 0, enum: list<item: string>
                        child 0, item: string
                child 11, created_at: struct<type: string, format: string>
                    child 0, type: string
                    child 1, format: string
              to
              {'$id': Value('string'), '$schema': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'access_right_id': {'$ref': Value('string')}, 'granted_to_entity_id': {'$ref': Value('string')}, 'granted_by_entity_id': {'$ref': Value('string')}, 'subject_entity_id': {'$ref': Value('string')}, 'right_key': {'type': Value('string')}, 'resource_pattern': {'type': Value('string')}, 'scope': {'$ref': Value('string')}, 'status': {'enum': List(Value('string'))}, 'expires_at': {'$ref': Value('string')}}}
              because column names don't match

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KYE Protocol™ — JSON Schemas

Canonical JSON Schemas (Draft 2020-12) for every public KYE Protocol™ contract, mirrored here as a Hugging Face dataset for AI-tooling discoverability. The source of truth is the GitHub repository.

Coverage

The schemas span the full KYE™ stack:

Profile Schemas
KYE Core™ identity, authority, scope, state, capability, evidence, graph, signals
KYE Continuity Profile™ continuity-context, continuity-decision, intent-trace
KYE Meaning Continuity™ (v1.1.0 module) meaning-continuity-context, handoff-trace, meaning-drift-event, meaning-continuity-decision
KYE Discoverability Profile™ discovery-card, authority-path, evidence-finder
KYE Ontology Profile™ semantic-resolution, namespace-binding
KYE Operating Model Profile™ readiness-card, stage-transition
KYE Assurance Card Profile™ assurance-card, runtime-binding
KYE Formal Rules Profile™ rights, obligations, runtime
KYE Action Admissibility Profile™ proposed-action, admission-gate, admissibility-decision, admissibility-evidence

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.

License

Apache-2.0. The schemas are open contracts — implement them freely. The hosted runtime that operationalises them at banking-grade SLAs is the KYE Runtime layer (commercial).

Source of truth

github.com/KYE-Protocol · $id URIs under https://kyeprotocol.com/schemas/.

Citation

@misc{kye-protocol-schemas,
  title  = {KYE Protocol{\textregistered}\textsuperscript{TM} JSON Schemas},
  author = {KYE Protocol Project},
  year   = {2026},
  url    = {https://huggingface.co/datasets/KYE-Protocol/schemas}
}
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