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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
release: string
semver: string
frozen_at: timestamp[s]
source: string
source_fetched_at: string
board_counts: struct<axis_slots: int64, measured: int64, declared_unmeasured: int64>
  child 0, axis_slots: int64
  child 1, measured: int64
  child 2, declared_unmeasured: int64
signed_roster: struct<schema: string, gold_run: timestamp[s], verification_state: string, signer: string, alg: stri (... 3 chars omitted)
  child 0, schema: string
  child 1, gold_run: timestamp[s]
  child 2, verification_state: string
  child 3, signer: string
  child 4, alg: string
freeze_policy: string
deprecation_policy: string
verification: string
not_a_certification: bool
canary: string
axes_count: int64
axis_registry: string
axes: list<item: struct<axis: string, short: string, bench_name: string, hf_repo_hint: string, family: str (... 258 chars omitted)
  child 0, item: struct<axis: string, short: string, bench_name: string, hf_repo_hint: string, family: string, kind:  (... 246 chars omitted)
      child 0, axis: string
      child 1, short: string
      child 2, bench_name: string
      child 3, hf_repo_hint: string
      child 4, family: string
      child 5, kind: string
      child 6, status: string
      child 7, n: int64
      child 8, accuracy: double
      child 9, separation: string
      child 10, canary: string
      child 11, provenance: struct<board: string, living_stamp_schema: string, gold_run: timestamp[s], stamp_verification: strin (... 45 chars omitted)
          child 0, board: string
          child 1, living_stamp_schema: string
          child 2, gold_run: timestamp[s]
          child 3, stamp_verification: string
          child 4, source_fetched_at: string
          child 5, verify: string
to
{'release': Value('string'), 'axis_registry': Value('string'), 'axes': List({'axis': Value('string'), 'short': Value('string'), 'bench_name': Value('string'), 'hf_repo_hint': Value('string'), 'family': Value('string'), 'kind': Value('string'), 'status': Value('string'), 'n': Value('int64'), 'accuracy': Value('float64'), 'separation': Value('string'), 'canary': Value('string'), 'provenance': {'board': Value('string'), 'living_stamp_schema': Value('string'), 'gold_run': Value('timestamp[s]'), 'stamp_verification': Value('string'), 'source_fetched_at': Value('string'), 'verify': 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              release: string
              semver: string
              frozen_at: timestamp[s]
              source: string
              source_fetched_at: string
              board_counts: struct<axis_slots: int64, measured: int64, declared_unmeasured: int64>
                child 0, axis_slots: int64
                child 1, measured: int64
                child 2, declared_unmeasured: int64
              signed_roster: struct<schema: string, gold_run: timestamp[s], verification_state: string, signer: string, alg: stri (... 3 chars omitted)
                child 0, schema: string
                child 1, gold_run: timestamp[s]
                child 2, verification_state: string
                child 3, signer: string
                child 4, alg: string
              freeze_policy: string
              deprecation_policy: string
              verification: string
              not_a_certification: bool
              canary: string
              axes_count: int64
              axis_registry: string
              axes: list<item: struct<axis: string, short: string, bench_name: string, hf_repo_hint: string, family: str (... 258 chars omitted)
                child 0, item: struct<axis: string, short: string, bench_name: string, hf_repo_hint: string, family: string, kind:  (... 246 chars omitted)
                    child 0, axis: string
                    child 1, short: string
                    child 2, bench_name: string
                    child 3, hf_repo_hint: string
                    child 4, family: string
                    child 5, kind: string
                    child 6, status: string
                    child 7, n: int64
                    child 8, accuracy: double
                    child 9, separation: string
                    child 10, canary: string
                    child 11, provenance: struct<board: string, living_stamp_schema: string, gold_run: timestamp[s], stamp_verification: strin (... 45 chars omitted)
                        child 0, board: string
                        child 1, living_stamp_schema: string
                        child 2, gold_run: timestamp[s]
                        child 3, stamp_verification: string
                        child 4, source_fetched_at: string
                        child 5, verify: string
              to
              {'release': Value('string'), 'axis_registry': Value('string'), 'axes': List({'axis': Value('string'), 'short': Value('string'), 'bench_name': Value('string'), 'hf_repo_hint': Value('string'), 'family': Value('string'), 'kind': Value('string'), 'status': Value('string'), 'n': Value('int64'), 'accuracy': Value('float64'), 'separation': Value('string'), 'canary': Value('string'), 'provenance': {'board': Value('string'), 'living_stamp_schema': Value('string'), 'gold_run': Value('timestamp[s]'), 'stamp_verification': Value('string'), 'source_fetched_at': Value('string'), 'verify': Value('string')}})}
              because column names don't match

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Council of AI (CSOAI)

GSPC frozen releases

gspc-v1.0 — the first immutable release of the GSPC axis estate: 34 axis slots (24 MEASURED · 10 declared-UNMEASURED, published so the gap is visible), frozen from the live board on 2026-11-02. Roster provenance is the signed living stamp csoai.gspc-living/0.2 (gold run 2026-08-18, SIGNED, did:web:csoai.org#board-attestation-1).

File What
gspc-v1.0/RELEASE.json Release envelope: freeze + deprecation policy, board counts, roster provenance
gspc-v1.0/AXIS_REGISTRY.json Canonical alias table — axis / short / bench name / HF repo hint, per-axis status + canary
gspc-v1.0/axes/*.json One frozen definition per axis
gspc-v1.0/SHA256SUMS.txt Hash manifest for the whole release
gspc-v1.0/CHANGELOG.md What changed and what is carried honestly (swarm, jail, care items; UNVERIFIABLE v0.1 stamp)

Policy: a release is immutable; the live API (councilof.ai/api/gspc) is "latest/unstable" and may move between releases. Bank re-freezes bump the minor version. Axes are never silently removed — superseded definitions stay published with [SUPERSEDED] markers and a corrections-register entry.

Verify anything free: councilof.ai/gspc-verify · MCP verify_card · board stamp verifies under did:web:csoai.org#board-attestation-1. Every axis file embeds a benchmark canary GUID — keep training corpora clean.

Owner Ed25519 stamp on the release manifest: PENDING (tracked owner operation).

Measurement, not certification.

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