AegisLayer Core
Collection
Public AegisLayer architecture, governance, AI security, interactive demonstrations, synthetic governance datasets, research, and developer resources. • 11 items • Updated
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
title: string
type: string
required: list<item: string>
child 0, item: string
properties: struct<layer_id: struct<type: string>, architecture_layer: struct<type: string>, purpose: struct<typ (... 236 chars omitted)
child 0, layer_id: struct<type: string>
child 0, type: string
child 1, architecture_layer: struct<type: string>
child 0, type: string
child 2, purpose: struct<type: string>
child 0, type: string
child 3, inputs: struct<type: string>
child 0, type: string
child 4, outputs: struct<type: string>
child 0, type: string
child 5, trust_boundary: struct<type: string>
child 0, type: string
child 6, evidence_generated: struct<type: string>
child 0, type: string
child 7, related_diagram: struct<type: string>
child 0, type: string
child 8, related_documentation: struct<type: string>
child 0, type: string
outputs: string
purpose: string
evidence_generated: string
architecture_layer: string
related_documentation: string
trust_boundary: string
inputs: string
layer_id: string
related_diagram: string
to
{'layer_id': Value('string'), 'architecture_layer': Value('string'), 'purpose': Value('string'), 'inputs': Value('string'), 'outputs': Value('string'), 'trust_boundary': Value('string'), 'evidence_generated': Value('string'), 'related_diagram': Value('string'), 'related_documentation': 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
title: string
type: string
required: list<item: string>
child 0, item: string
properties: struct<layer_id: struct<type: string>, architecture_layer: struct<type: string>, purpose: struct<typ (... 236 chars omitted)
child 0, layer_id: struct<type: string>
child 0, type: string
child 1, architecture_layer: struct<type: string>
child 0, type: string
child 2, purpose: struct<type: string>
child 0, type: string
child 3, inputs: struct<type: string>
child 0, type: string
child 4, outputs: struct<type: string>
child 0, type: string
child 5, trust_boundary: struct<type: string>
child 0, type: string
child 6, evidence_generated: struct<type: string>
child 0, type: string
child 7, related_diagram: struct<type: string>
child 0, type: string
child 8, related_documentation: struct<type: string>
child 0, type: string
outputs: string
purpose: string
evidence_generated: string
architecture_layer: string
related_documentation: string
trust_boundary: string
inputs: string
layer_id: string
related_diagram: string
to
{'layer_id': Value('string'), 'architecture_layer': Value('string'), 'purpose': Value('string'), 'inputs': Value('string'), 'outputs': Value('string'), 'trust_boundary': Value('string'), 'evidence_generated': Value('string'), 'related_diagram': Value('string'), 'related_documentation': 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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Synthetic catalog of AegisLayer architecture layers, their purposes, inputs, outputs, trust boundaries, evidence, diagrams, and related documentation.
data/architecture_catalog.csvdata/architecture_catalog.jsonlschema.jsonLIMITATIONS.mdLICENSE.mdThis catalog summarizes public architecture elements only. It is not a deployment inventory or infrastructure bill of materials.