Dataset Viewer
The dataset viewer is not available for this split.
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 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.
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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