SZL Holdings — Datasets & Evidence
Collection
Managed datasets, receipts, manifests, and diligence evidence. • 33 items • Updated • 1
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
case_id: string
axis: string
data_label: string
scenario: string
input: struct<operation: string, mutation: bool, policy_state: string, parent_authority: list<item: string> (... 112 chars omitted)
child 0, operation: string
child 1, mutation: bool
child 2, policy_state: string
child 3, parent_authority: list<item: string>
child 0, item: string
child 4, delegated_authority: list<item: string>
child 0, item: string
child 5, transport_status: int64
child 6, world_state: string
child 7, rollback_state: string
expected: struct<final_state: string, executed: bool, world_state_confirmed: bool, max_granted_authority: list (... 167 chars omitted)
child 0, final_state: string
child 1, executed: bool
child 2, world_state_confirmed: bool
child 3, max_granted_authority: list<item: string>
child 0, item: string
child 4, receipt: string
child 5, receipt_required_fields: list<item: string>
child 0, item: string
child 6, rollback: string
child 7, rollback_required_fields: list<item: string>
child 0, item: string
child 8, rollback_confirmed: bool
publication_evidence: struct<commit_sha_binding: string, destination_path: string, method: string, post_commit_head_and_by (... 154 chars omitted)
child 0, commit_sha_binding: string
child 1, destination_path: string
child 2, method: string
child 3, post_commit_head_and_bytes_verification: string
child 4, production_ready: bool
child 5, provider_tree_hashes_are_independent_pay
...
child 4, source_sha256: string
child 5, value: string
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: list<item: string>
child 0, item: string
child 12, training_recipe: struct<classification: string, evidence: list<item: null>, limitations: list<item: string>, value: n (... 4 chars omitted)
child 0, classification: string
child 1, evidence: list<item: null>
child 0, item: null
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: null
child 13, upstream_source_revision: struct<classification: string, evidence: list<item: null>, limitations: list<item: string>, value: n (... 4 chars omitted)
child 0, classification: string
child 1, evidence: list<item: null>
child 0, item: null
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: null
registry_binding: struct<commit: string, json_pointer: string, path: string, repository: string>
child 0, commit: string
child 1, json_pointer: string
child 2, path: string
child 3, repository: string
required_exact_parent: string
schema: string
asset_type: string
destination_path: string
overwrite_allowed: bool
production_ready_classification: string
blockers: list<item: string>
child 0, item: string
destination_absent_at_required_parent: bool
audit_generated_at: string
claim_boundary: string
production_ready: bool
to
{'asset_type': Value('string'), 'audit_generated_at': Value('string'), 'blockers': List(Value('string')), 'claim_boundary': Value('string'), 'destination_absent_at_required_parent': Value('bool'), 'destination_path': Value('string'), 'fields': {'artifact_inventory_and_hashes': {'classification': Value('string'), 'evidence': List({'access': Value('string'), 'repository_head': Value('string'), 'source': Value('string')}), 'limitations': List(Value('string')), 'value': {'all_files_have_immutable_hash_metadata': Value('bool'), 'file_count': Value('int64'), 'files_with_immutable_hash_metadata': Value('int64'), 'files_with_unknown_size': Value('int64'), 'known_total_bytes': Value('int64'), 'lfs_file_count': Value('int64'), 'payloads_downloaded': Value('bool'), 'tree_complete': Value('bool'), 'tree_pages': Value('int64')}}, 'card_license_declaration': {'classification': Value('string'), 'evidence': List({'access': Value('string'), 'json_pointer': Value('string'), 'observed_at': Value('string'), 'repository_head': Value('string'), 'source': Value('string'), 'value': Value('string'), 'line': Value('int64'), 'source_sha256': Value('string')}), 'limitations': List(Value('string')), 'value': List(Value('string'))}, 'consent_privacy_review': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}, 'deployment_evidence': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('
...
e': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')})}, 'training_data_identity': {'classification': Value('string'), 'evidence': List({'json_pointer': Value('string'), 'key': Value('string'), 'repository_head': Value('string'), 'source': Value('string'), 'source_sha256': Value('string'), 'value': Value('string')}), 'limitations': List(Value('string')), 'value': List(Value('string'))}, 'training_recipe': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}, 'upstream_source_revision': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}}, 'overwrite_allowed': Value('bool'), 'production_ready': Value('bool'), 'production_ready_classification': Value('string'), 'publication_evidence': {'commit_sha_binding': Value('string'), 'destination_path': Value('string'), 'method': Value('string'), 'post_commit_head_and_bytes_verification': Value('string'), 'production_ready': Value('bool'), 'provider_tree_hashes_are_independent_payload_rehashes': Value('bool'), 'required_parent_sha': Value('string'), 'state': Value('string')}, 'publication_performed': Value('bool'), 'registry_binding': {'commit': Value('string'), 'json_pointer': Value('string'), 'path': Value('string'), 'repository': Value('string')}, 'repository_id': Value('string'), 'required_exact_parent': Value('string'), 'schema': 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
case_id: string
axis: string
data_label: string
scenario: string
input: struct<operation: string, mutation: bool, policy_state: string, parent_authority: list<item: string> (... 112 chars omitted)
child 0, operation: string
child 1, mutation: bool
child 2, policy_state: string
child 3, parent_authority: list<item: string>
child 0, item: string
child 4, delegated_authority: list<item: string>
child 0, item: string
child 5, transport_status: int64
child 6, world_state: string
child 7, rollback_state: string
expected: struct<final_state: string, executed: bool, world_state_confirmed: bool, max_granted_authority: list (... 167 chars omitted)
child 0, final_state: string
child 1, executed: bool
child 2, world_state_confirmed: bool
child 3, max_granted_authority: list<item: string>
child 0, item: string
child 4, receipt: string
child 5, receipt_required_fields: list<item: string>
child 0, item: string
child 6, rollback: string
child 7, rollback_required_fields: list<item: string>
child 0, item: string
child 8, rollback_confirmed: bool
publication_evidence: struct<commit_sha_binding: string, destination_path: string, method: string, post_commit_head_and_by (... 154 chars omitted)
child 0, commit_sha_binding: string
child 1, destination_path: string
child 2, method: string
child 3, post_commit_head_and_bytes_verification: string
child 4, production_ready: bool
child 5, provider_tree_hashes_are_independent_pay
...
child 4, source_sha256: string
child 5, value: string
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: list<item: string>
child 0, item: string
child 12, training_recipe: struct<classification: string, evidence: list<item: null>, limitations: list<item: string>, value: n (... 4 chars omitted)
child 0, classification: string
child 1, evidence: list<item: null>
child 0, item: null
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: null
child 13, upstream_source_revision: struct<classification: string, evidence: list<item: null>, limitations: list<item: string>, value: n (... 4 chars omitted)
child 0, classification: string
child 1, evidence: list<item: null>
child 0, item: null
child 2, limitations: list<item: string>
child 0, item: string
child 3, value: null
registry_binding: struct<commit: string, json_pointer: string, path: string, repository: string>
child 0, commit: string
child 1, json_pointer: string
child 2, path: string
child 3, repository: string
required_exact_parent: string
schema: string
asset_type: string
destination_path: string
overwrite_allowed: bool
production_ready_classification: string
blockers: list<item: string>
child 0, item: string
destination_absent_at_required_parent: bool
audit_generated_at: string
claim_boundary: string
production_ready: bool
to
{'asset_type': Value('string'), 'audit_generated_at': Value('string'), 'blockers': List(Value('string')), 'claim_boundary': Value('string'), 'destination_absent_at_required_parent': Value('bool'), 'destination_path': Value('string'), 'fields': {'artifact_inventory_and_hashes': {'classification': Value('string'), 'evidence': List({'access': Value('string'), 'repository_head': Value('string'), 'source': Value('string')}), 'limitations': List(Value('string')), 'value': {'all_files_have_immutable_hash_metadata': Value('bool'), 'file_count': Value('int64'), 'files_with_immutable_hash_metadata': Value('int64'), 'files_with_unknown_size': Value('int64'), 'known_total_bytes': Value('int64'), 'lfs_file_count': Value('int64'), 'payloads_downloaded': Value('bool'), 'tree_complete': Value('bool'), 'tree_pages': Value('int64')}}, 'card_license_declaration': {'classification': Value('string'), 'evidence': List({'access': Value('string'), 'json_pointer': Value('string'), 'observed_at': Value('string'), 'repository_head': Value('string'), 'source': Value('string'), 'value': Value('string'), 'line': Value('int64'), 'source_sha256': Value('string')}), 'limitations': List(Value('string')), 'value': List(Value('string'))}, 'consent_privacy_review': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}, 'deployment_evidence': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('
...
e': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')})}, 'training_data_identity': {'classification': Value('string'), 'evidence': List({'json_pointer': Value('string'), 'key': Value('string'), 'repository_head': Value('string'), 'source': Value('string'), 'source_sha256': Value('string'), 'value': Value('string')}), 'limitations': List(Value('string')), 'value': List(Value('string'))}, 'training_recipe': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}, 'upstream_source_revision': {'classification': Value('string'), 'evidence': List(Value('null')), 'limitations': List(Value('string')), 'value': Value('null')}}, 'overwrite_allowed': Value('bool'), 'production_ready': Value('bool'), 'production_ready_classification': Value('string'), 'publication_evidence': {'commit_sha_binding': Value('string'), 'destination_path': Value('string'), 'method': Value('string'), 'post_commit_head_and_bytes_verification': Value('string'), 'production_ready': Value('bool'), 'provider_tree_hashes_are_independent_payload_rehashes': Value('bool'), 'required_parent_sha': Value('string'), 'state': Value('string')}, 'publication_performed': Value('bool'), 'registry_binding': {'commit': Value('string'), 'json_pointer': Value('string'), 'path': Value('string'), 'repository': Value('string')}, 'repository_id': Value('string'), 'required_exact_parent': Value('string'), 'schema': 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.
governed-agent-bench v0
This dataset is the immutable public mirror of
szl-holdings/a11oy@1b40fcbe0f65c1ad1e07776f83aa01abb067e864.
It measures five governability axes:
- fail-closed behavior;
- non-increasing authority across delegation;
- false-success rejection;
- receipt completeness; and
- rollback discipline.
Evidence labels
- Corpus: SAMPLE
- Scores: COMPUTED
- Receipt verification: STRUCTURE_ONLY
- Cryptographic verification: false
The reference result proves that the evaluator and known-good fixture close their deterministic contract. It is not a model-quality or production claim. The public leaderboard contains zero eligible model submissions until an exact submission is evaluated and published with its receipt.
Reproduce
python score.py submissions/reference-conformance.jsonl --strict
The canonical source, schema, evaluator, reference submission, result, and publication manifest are all included in this dataset revision. The companion Space is https://huggingface.co/spaces/SZLHOLDINGS/governed-agent-bench.
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