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Datasets:
csoai
/
gspc-board

Tags:
gspc
governance
evaluation
doi:10.57967/hf/10114
DOI:
License:
Dataset card Files
xet
 Community
3
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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
issuer: string
doi: string
doi_note: string
measured_on: struct<model: string, endpoint: string, date: string, grading: string, note: string, living_stamp: s (... 113 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, signer: string, signature: string, sig_i (... 13 chars omitted)
      child 0, source: string
      child 1, updated: timestamp[s]
      child 2, signed: bool
      child 3, signer: string
      child 4, signature: string
      child 5, sig_input: string
note: string
totals: struct<axes: int64, measured_axes: int64, quotable_axes: int64, public_count: string, license: strin (... 241 chars omitted)
  child 0, axes: int64
  child 1, measured_axes: int64
  child 2, quotable_axes: int64
  child 3, public_count: string
  child 4, license: string
  child 5, license_note: string
  child 6, items: int64
  child 7, separated_leads: int64
  child 8, ties: int64
  child 9, untested_separations: int64
  child 10, mean_macro_f1: double
  child 11, mean_accuracy: double
  child 12, mean_fleet_mean: double
  child 13, mean_harm: double
  child 14, mean_unparsed_rate: double
  child 15, mean_note: string
axes: list<item: struct<axis: string, bench: string, task: string, n: int64, accuracy: double, leader: str (... 1615 chars omitted)
  child 0, item: struct<axis: string, bench: string, tas
...
 omitted)
              child 0, n: int64
              child 1, honest: 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 (... 22 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, verify: string
of_14: bool
gspc_registry_axes: int64
counting_rule: string
live_public_count: string
served_from: string
to
{'schema': Value('string'), 'issuer': Value('string'), 'served_from': Value('string'), 'gspc_registry_axes': Value('int64'), 'of_14': Value('bool'), 'counting_rule': Value('string'), 'axes': List(Value('string')), 'note': Value('string'), 'live_public_count': 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
              issuer: string
              doi: string
              doi_note: string
              measured_on: struct<model: string, endpoint: string, date: string, grading: string, note: string, living_stamp: s (... 113 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, signer: string, signature: string, sig_i (... 13 chars omitted)
                    child 0, source: string
                    child 1, updated: timestamp[s]
                    child 2, signed: bool
                    child 3, signer: string
                    child 4, signature: string
                    child 5, sig_input: string
              note: string
              totals: struct<axes: int64, measured_axes: int64, quotable_axes: int64, public_count: string, license: strin (... 241 chars omitted)
                child 0, axes: int64
                child 1, measured_axes: int64
                child 2, quotable_axes: int64
                child 3, public_count: string
                child 4, license: string
                child 5, license_note: string
                child 6, items: int64
                child 7, separated_leads: int64
                child 8, ties: int64
                child 9, untested_separations: int64
                child 10, mean_macro_f1: double
                child 11, mean_accuracy: double
                child 12, mean_fleet_mean: double
                child 13, mean_harm: double
                child 14, mean_unparsed_rate: double
                child 15, mean_note: string
              axes: list<item: struct<axis: string, bench: string, task: string, n: int64, accuracy: double, leader: str (... 1615 chars omitted)
                child 0, item: struct<axis: string, bench: string, tas
              ...
               omitted)
                            child 0, n: int64
                            child 1, honest: 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 (... 22 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, verify: string
              of_14: bool
              gspc_registry_axes: int64
              counting_rule: string
              live_public_count: string
              served_from: string
              to
              {'schema': Value('string'), 'issuer': Value('string'), 'served_from': Value('string'), 'gspc_registry_axes': Value('int64'), 'of_14': Value('bool'), 'counting_rule': Value('string'), 'axes': List(Value('string')), 'note': Value('string'), 'live_public_count': Value('string')}
              because column names don't match

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GSPC Board — Council of AI

Independent AI-governance measurement board. Source of truth: councilof.ai/api/gspc.

  • Board slots: 14 quotable axes
  • Public ruling (live): 14 measured of 14 quotable
  • Jail (slot 14): MEASURED; living-board separation TIE (a TIE is not a separated leader)
  • DOI: 10.57967/hf/10114 (dataset csoai/gspc-board)
  • License: CC-BY-4.0 — attribute Council of AI / CSOAI Ltd
  • Attestation: Ed25519 site attestation included in board.json (site_attestation)

Files

File Role
board.json Full signed board payload + DOI
board.parquet.json Flat per-axis rows
axis-register.json Axis id register / counting rule

Claim rules

Do not invent “22 axes.” Quotable board = 14. In-lane honesty probes (slot15, human-vs-ai) are not board-quotable.

Measurement only — not certification.
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