Datasets:
DOI:
License:
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
schema: string
issuer: string
doi: string
doi_note: string
measured_on: struct<model: string, endpoint: string, date: string, grading: string, note: string, living_stamp: s (... 314 chars omitted)
child 0, model: string
child 1, endpoint: string
child 2, date: string
child 3, grading: string
child 4, note: string
child 5, living_stamp: struct<source: string, updated: timestamp[s], signed: bool, verification_state: string, verifiable: (... 214 chars omitted)
child 0, source: string
child 1, updated: timestamp[s]
child 2, signed: bool
child 3, verification_state: string
child 4, verifiable: bool
child 5, signer: string
child 6, signer_anchored: bool
child 7, signature: string
child 8, sig_input: string
child 9, unverifiable_note: string
child 10, supersedes_note: string
child 11, reproduction_attempts: int64
child 12, reproduction_verified: int64
child 13, tracked_as: string
note: string
totals: struct<axes: int64, measured_axes: int64, unmeasured_axes: int64, quotable_axes: int64, public_count (... 523 chars omitted)
child 0, axes: int64
child 1, measured_axes: int64
child 2, unmeasured_axes: int64
child 3, quotable_axes: int64
child 4, public_count: string
child 5, count_grammar: string
child 6, by_family: struct<gspc: struct<axes: int64, measured: int64, note: string>, financial: struct<axes: int64, meas (... 27 chars omitted)
child 0, gspc: struct<axes: int64
...
: int64
child 2, fabricated: int64
child 3, honesty_rate: double
child 4, aligned: int64
child 5, alignment_rate: double
child 11, status: string
child 12, dataset: string
child 13, colour: string
child 14, hue: int64
child 15, note: string
domains: list<item: struct<domain: string, title: string, schema: string, axes: int64, status: string, crossw (... 101 chars omitted)
child 0, item: struct<domain: string, title: string, schema: string, axes: int64, status: string, crosswalk: string (... 89 chars omitted)
child 0, domain: string
child 1, title: string
child 2, schema: string
child 3, axes: int64
child 4, status: string
child 5, crosswalk: string
child 6, crosswalk_v1: string
child 7, east_west: string
child 8, challenge: string
child 9, card: string
child 10, note: string
limitations: list<item: string>
child 0, item: string
site_attestation: struct<attests: string, signer: string, alg: string, sig: string, public_key_x: string, sig_input: s (... 79 chars omitted)
child 0, attests: string
child 1, signer: string
child 2, alg: string
child 3, sig: string
child 4, public_key_x: string
child 5, sig_input: string
child 6, sig_input_ensure_ascii: bool
child 7, sig_input_is_digest: bool
child 8, verify: string
model: string
n: int64
axis: string
accuracy: double
ci: list<item: double>
child 0, item: double
to
{'axis': Value('string'), 'model': Value('string'), 'accuracy': Value('float64'), 'ci': List(Value('float64')), 'n': Value('int64')}
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
issuer: string
doi: string
doi_note: string
measured_on: struct<model: string, endpoint: string, date: string, grading: string, note: string, living_stamp: s (... 314 chars omitted)
child 0, model: string
child 1, endpoint: string
child 2, date: string
child 3, grading: string
child 4, note: string
child 5, living_stamp: struct<source: string, updated: timestamp[s], signed: bool, verification_state: string, verifiable: (... 214 chars omitted)
child 0, source: string
child 1, updated: timestamp[s]
child 2, signed: bool
child 3, verification_state: string
child 4, verifiable: bool
child 5, signer: string
child 6, signer_anchored: bool
child 7, signature: string
child 8, sig_input: string
child 9, unverifiable_note: string
child 10, supersedes_note: string
child 11, reproduction_attempts: int64
child 12, reproduction_verified: int64
child 13, tracked_as: string
note: string
totals: struct<axes: int64, measured_axes: int64, unmeasured_axes: int64, quotable_axes: int64, public_count (... 523 chars omitted)
child 0, axes: int64
child 1, measured_axes: int64
child 2, unmeasured_axes: int64
child 3, quotable_axes: int64
child 4, public_count: string
child 5, count_grammar: string
child 6, by_family: struct<gspc: struct<axes: int64, measured: int64, note: string>, financial: struct<axes: int64, meas (... 27 chars omitted)
child 0, gspc: struct<axes: int64
...
: int64
child 2, fabricated: int64
child 3, honesty_rate: double
child 4, aligned: int64
child 5, alignment_rate: double
child 11, status: string
child 12, dataset: string
child 13, colour: string
child 14, hue: int64
child 15, note: string
domains: list<item: struct<domain: string, title: string, schema: string, axes: int64, status: string, crossw (... 101 chars omitted)
child 0, item: struct<domain: string, title: string, schema: string, axes: int64, status: string, crosswalk: string (... 89 chars omitted)
child 0, domain: string
child 1, title: string
child 2, schema: string
child 3, axes: int64
child 4, status: string
child 5, crosswalk: string
child 6, crosswalk_v1: string
child 7, east_west: string
child 8, challenge: string
child 9, card: string
child 10, note: string
limitations: list<item: string>
child 0, item: string
site_attestation: struct<attests: string, signer: string, alg: string, sig: string, public_key_x: string, sig_input: s (... 79 chars omitted)
child 0, attests: string
child 1, signer: string
child 2, alg: string
child 3, sig: string
child 4, public_key_x: string
child 5, sig_input: string
child 6, sig_input_ensure_ascii: bool
child 7, sig_input_is_digest: bool
child 8, verify: string
model: string
n: int64
axis: string
accuracy: double
ci: list<item: double>
child 0, item: double
to
{'axis': Value('string'), 'model': Value('string'), 'accuracy': Value('float64'), 'ci': List(Value('float64')), 'n': Value('int64')}
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.
GET https://councilof.ai/api/gspc — 22 axis · 15 measured · 7 empty. Not certification.
gspc-bench-results
Council of AI measurement bank. Measurement, not certification.
GET https://councilof.ai/api/gspc — 22 axis · 15 measured · 7 empty.
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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