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
algorithm: string
name: string
version: string
description: string
rules: list<item: string>
child 0, item: string
signing_prefix: string
example_input: struct<z: int64, a: string, m: null>
child 0, z: int64
child 1, a: string
child 2, m: null
example_canonical: string
anchoring: string
signing_algorithm: string
record_types: list<item: struct<type: string, name: string, description: string, required_fields: list<item: strin (... 40 chars omitted)
child 0, item: struct<type: string, name: string, description: string, required_fields: list<item: string>, subject (... 28 chars omitted)
child 0, type: string
child 1, name: string
child 2, description: string
child 3, required_fields: list<item: string>
child 0, item: string
child 4, subject_fields: list<item: string>
child 0, item: string
spec_version: string
hash_algorithm: string
canonicalization: string
to
{'spec_version': Value('string'), 'record_types': List({'type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'required_fields': List(Value('string')), 'subject_fields': List(Value('string'))}), 'canonicalization': Value('string'), 'signing_algorithm': Value('string'), 'hash_algorithm': Value('string'), 'anchoring': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
algorithm: string
name: string
version: string
description: string
rules: list<item: string>
child 0, item: string
signing_prefix: string
example_input: struct<z: int64, a: string, m: null>
child 0, z: int64
child 1, a: string
child 2, m: null
example_canonical: string
anchoring: string
signing_algorithm: string
record_types: list<item: struct<type: string, name: string, description: string, required_fields: list<item: strin (... 40 chars omitted)
child 0, item: struct<type: string, name: string, description: string, required_fields: list<item: string>, subject (... 28 chars omitted)
child 0, type: string
child 1, name: string
child 2, description: string
child 3, required_fields: list<item: string>
child 0, item: string
child 4, subject_fields: list<item: string>
child 0, item: string
spec_version: string
hash_algorithm: string
canonicalization: string
to
{'spec_version': Value('string'), 'record_types': List({'type': Value('string'), 'name': Value('string'), 'description': Value('string'), 'required_fields': List(Value('string')), 'subject_fields': List(Value('string'))}), 'canonicalization': Value('string'), 'signing_algorithm': Value('string'), 'hash_algorithm': Value('string'), 'anchoring': 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.
AXIOM Envelope Specification
AXIOM (Audit eXtensible Input/Output Manifest) is the canonical envelope format used by Crovia for packaging tamper-evident AI audit records.
Design goals
- Tamper-evident: each envelope contains a hash of its content and is included in a Merkle chain
- Offline-verifiable: all verification can be performed without contacting Crovia servers
- Extensible: supports multiple record types (
AX.NEC,AX.OBS,AX.TPA,AX.CEP) - Anchored: the Merkle root of each ledger batch is anchored to Bitcoin via OpenTimestamps
Envelope structure
{
"ax_id": "AX-<example-id>",
"ax_type": "AX.OBS",
"issued_at": "2026-01-01T00:00:00Z",
"subject": {
"model_id": "<vendor>/<model>",
"observation_type": "omission",
"severity": "high"
},
"content_hash": "sha256:<example-hash>",
"prev_hash": "sha256:<example-prev-hash>",
"merkle_root": "sha256:<example-merkle-root>",
"signature": "Ed25519:<example-signature>"
}
Record types
| Type | Description |
|---|---|
AX.NEC |
Non-disclosure / omission records from Necessary Evidence Chain |
AX.OBS |
Observation records from forensic analysis |
AX.TPA |
Temporal Provenance Attestations |
AX.CEP |
Canonical Evidence Packages |
Canonicalization
AXIOM uses CSC-1 (Crovia Standard Canonicalization 1): deterministic JSON serialization with lexicographically sorted keys, no whitespace. Used as the input to Ed25519 signing.
Anchoring
Weekly Merkle roots are submitted to OpenTimestamps for Bitcoin blockchain anchoring. Anchors are public at https://croviatrust.com/registry/data/substrate/ots_anchors.json.
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