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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
schema: string
generated: timestamp[s]
doctrine: string
note: string
corrections: list<item: struct<id: string, title: string, what_was_wrong: string, how_caught: string, fix: string (... 82 chars omitted)
child 0, item: struct<id: string, title: string, what_was_wrong: string, how_caught: string, fix: string, status: s (... 70 chars omitted)
child 0, id: string
child 1, title: string
child 2, what_was_wrong: string
child 3, how_caught: string
child 4, fix: string
child 5, status: string
child 6, date: timestamp[s]
child 7, tags: list<item: string>
child 0, item: string
child 8, evidence: string
records: list<item: struct<schema: string, record_type: string, not_a_certification: bool, endorsement: strin (... 1952 chars omitted)
child 0, item: struct<schema: string, record_type: string, not_a_certification: bool, endorsement: string, authored (... 1940 chars omitted)
child 0, schema: string
child 1, record_type: string
child 2, not_a_certification: bool
child 3, endorsement: string
child 4, authored_by: string
child 5, benchmark: string
child 6, owner: string
child 7, url: string
child 8, license: string
child 9, as_of: timestamp[s]
child 10, solicited: bool
child 11, party_participated: bool
child 12, access: string
child 13, score: double
child 14, max_score: double
child 15, score_pct: double
child 16, chec
...
ax: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 9, deterministic_scorer: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 10, public_rubric: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 11, funding_disclosed: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 12, no_pay_to_rank: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 13, no_private_pretesting: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 14, symmetric_data: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 15, deprecation_log: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 16, label_error_audit: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 17, corrections_process: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 18, license_spdx: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 19, separates_top: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 20, corrections_ledger: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
max_score: double
to
{'schema': Value('string'), 'generated': Value('timestamp[s]'), 'doctrine': Value('string'), 'criteria': {'canary_string': {'max': Value('int64'), 'desc': Value('string')}, 'temporal_split': {'max': Value('int64'), 'desc': Value('string')}, 'private_heldout': {'max': Value('int64'), 'desc': Value('string')}, 'public_harness': {'max': Value('int64'), 'desc': Value('string')}, 'pinned_deps': {'max': Value('int64'), 'desc': Value('string')}, 'recompute_artifact': {'max': Value('int64'), 'desc': Value('string')}, 'confidence_intervals': {'max': Value('int64'), 'desc': Value('string')}, 'significance_testing': {'max': Value('int64'), 'desc': Value('string')}, 'n_disclosed': {'max': Value('int64'), 'desc': Value('string')}, 'deterministic_scorer': {'max': Value('int64'), 'desc': Value('string')}, 'public_rubric': {'max': Value('int64'), 'desc': Value('string')}, 'funding_disclosed': {'max': Value('int64'), 'desc': Value('string')}, 'no_pay_to_rank': {'max': Value('int64'), 'desc': Value('string')}, 'no_private_pretesting': {'max': Value('int64'), 'desc': Value('string')}, 'symmetric_data': {'max': Value('int64'), 'desc': Value('string')}, 'deprecation_log': {'max': Value('int64'), 'desc': Value('string')}, 'label_error_audit': {'max': Value('int64'), 'desc': Value('string')}, 'corrections_process': {'max': Value('int64'), 'desc': Value('string')}, 'license_spdx': {'max': Value('int64'), 'desc': Value('string')}, 'separates_top': {'max': Value('int64'), 'desc': Value('string')}, 'co
...
), 'desc': Value('string'), 'how': Value('string')}, 'public_rubric': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'funding_disclosed': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'no_pay_to_rank': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'no_private_pretesting': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'symmetric_data': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'deprecation_log': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'label_error_audit': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'corrections_process': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'license_spdx': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'separates_top': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'corrections_ledger': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}}, 'notes': Value('string'), 'content_id': Value('string'), 'prev': Value('string'), 'pubkey': Value('string'), 'signature': 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
schema: string
generated: timestamp[s]
doctrine: string
note: string
corrections: list<item: struct<id: string, title: string, what_was_wrong: string, how_caught: string, fix: string (... 82 chars omitted)
child 0, item: struct<id: string, title: string, what_was_wrong: string, how_caught: string, fix: string, status: s (... 70 chars omitted)
child 0, id: string
child 1, title: string
child 2, what_was_wrong: string
child 3, how_caught: string
child 4, fix: string
child 5, status: string
child 6, date: timestamp[s]
child 7, tags: list<item: string>
child 0, item: string
child 8, evidence: string
records: list<item: struct<schema: string, record_type: string, not_a_certification: bool, endorsement: strin (... 1952 chars omitted)
child 0, item: struct<schema: string, record_type: string, not_a_certification: bool, endorsement: string, authored (... 1940 chars omitted)
child 0, schema: string
child 1, record_type: string
child 2, not_a_certification: bool
child 3, endorsement: string
child 4, authored_by: string
child 5, benchmark: string
child 6, owner: string
child 7, url: string
child 8, license: string
child 9, as_of: timestamp[s]
child 10, solicited: bool
child 11, party_participated: bool
child 12, access: string
child 13, score: double
child 14, max_score: double
child 15, score_pct: double
child 16, chec
...
ax: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 9, deterministic_scorer: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 10, public_rubric: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 11, funding_disclosed: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 12, no_pay_to_rank: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 13, no_private_pretesting: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 14, symmetric_data: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 15, deprecation_log: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 16, label_error_audit: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 17, corrections_process: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 18, license_spdx: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 19, separates_top: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
child 20, corrections_ledger: struct<max: int64, desc: string>
child 0, max: int64
child 1, desc: string
max_score: double
to
{'schema': Value('string'), 'generated': Value('timestamp[s]'), 'doctrine': Value('string'), 'criteria': {'canary_string': {'max': Value('int64'), 'desc': Value('string')}, 'temporal_split': {'max': Value('int64'), 'desc': Value('string')}, 'private_heldout': {'max': Value('int64'), 'desc': Value('string')}, 'public_harness': {'max': Value('int64'), 'desc': Value('string')}, 'pinned_deps': {'max': Value('int64'), 'desc': Value('string')}, 'recompute_artifact': {'max': Value('int64'), 'desc': Value('string')}, 'confidence_intervals': {'max': Value('int64'), 'desc': Value('string')}, 'significance_testing': {'max': Value('int64'), 'desc': Value('string')}, 'n_disclosed': {'max': Value('int64'), 'desc': Value('string')}, 'deterministic_scorer': {'max': Value('int64'), 'desc': Value('string')}, 'public_rubric': {'max': Value('int64'), 'desc': Value('string')}, 'funding_disclosed': {'max': Value('int64'), 'desc': Value('string')}, 'no_pay_to_rank': {'max': Value('int64'), 'desc': Value('string')}, 'no_private_pretesting': {'max': Value('int64'), 'desc': Value('string')}, 'symmetric_data': {'max': Value('int64'), 'desc': Value('string')}, 'deprecation_log': {'max': Value('int64'), 'desc': Value('string')}, 'label_error_audit': {'max': Value('int64'), 'desc': Value('string')}, 'corrections_process': {'max': Value('int64'), 'desc': Value('string')}, 'license_spdx': {'max': Value('int64'), 'desc': Value('string')}, 'separates_top': {'max': Value('int64'), 'desc': Value('string')}, 'co
...
), 'desc': Value('string'), 'how': Value('string')}, 'public_rubric': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'funding_disclosed': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'no_pay_to_rank': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'no_private_pretesting': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'symmetric_data': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'deprecation_log': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'label_error_audit': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'corrections_process': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'license_spdx': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'separates_top': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}, 'corrections_ledger': {'max': Value('int64'), 'got': Value('float64'), 'desc': Value('string'), 'how': Value('string')}}, 'notes': Value('string'), 'content_id': Value('string'), 'prev': Value('string'), 'pubkey': Value('string'), 'signature': 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.
signed-measurement-records
Council of AI measurement record. Measurement, not certification.
GET https://councilof.ai/api/gspc — 22 axis · 15 measured · 7 empty.
Living board: 22 axis · 15 measured · 7 empty. Jail is a measured floor (TIE), not a 16th pane.
313 cards catalogued; 150 verify. Verify free: https://councilof.ai/gspc-verify
Do not freeze a score table here. Older axis counts are superseded by the living GET.
MEASURED: governance, safety, provenance, continuity, conformance, openness, machinery-conformity, care, cross-reality, detector-interop, art5-safeguard, swarm, affect, jail, provenance-controls UNMEASURED (empty, not for sale, no scores): reserve-attestation, regulatory-framework, distribution-integrity, custody-disclosure, ai-economy-index, human-labour-index, humanoid-labour-index Jail is a measured floor, not a 16th pane. Verify: https://councilof.ai/gspc-verify
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