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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
schema: string
date: timestamp[s]
generated_at: timestamp[s]
freshness: struct<canonical_snapshot: struct<ts: timestamp[s], age_hours: double, state: string, writer: string (... 171 chars omitted)
child 0, canonical_snapshot: struct<ts: timestamp[s], age_hours: double, state: string, writer: string>
child 0, ts: timestamp[s]
child 1, age_hours: double
child 2, state: string
child 3, writer: string
child 1, latest_public_observation: struct<ts: timestamp[s], age_hours: double, state: string, runner: string>
child 0, ts: timestamp[s]
child 1, age_hours: double
child 2, state: string
child 3, runner: string
child 2, threshold_hours: struct<warn: int64, alert: int64>
child 0, warn: int64
child 1, alert: int64
child 3, note: string
board_state: struct<slots: int64, measured: int64, separated: int64, ties: int64, untested: int64>
child 0, slots: int64
child 1, measured: int64
child 2, separated: int64
child 3, ties: int64
child 4, untested: int64
fleet_leader_per_axis: struct<model_comparisons: string>
child 0, model_comparisons: string
watchdog: struct<kev_count: int64, kev_released: string, freeze_root: string, freeze_rows: int64, latest_obser (... 59 chars omitted)
child 0, kev_count: int64
child 1, kev_released: string
child 2, freeze_root: string
child 3, freeze_rows: int64
child 4, latest_observation_ts: timestamp[s]
child 5, latest_observation_runner: string
ecosystem: struct<mcp_answ
...
hild 5, hf_trending: string
child 6, hf_new_30d: string
atlas: struct<gpai_provisions: int64, gpai_as_of: string, wired: int64, partial: int64, unmeasured: int64, (... 87 chars omitted)
child 0, gpai_provisions: int64
child 1, gpai_as_of: string
child 2, wired: int64
child 3, partial: int64
child 4, unmeasured: int64
child 5, doors_generated_at: timestamp[s]
child 6, next_door: timestamp[s]
child 7, next_door_regulator: string
grid_cells: int64
human_lane: struct<state: string, verified_attempts: int64, note: string>
child 0, state: string
child 1, verified_attempts: int64
child 2, note: string
provenance: struct<canonical_snapshot_ts: timestamp[s], canonical_writer: string, latest_public_observation_ts: (... 108 chars omitted)
child 0, canonical_snapshot_ts: timestamp[s]
child 1, canonical_writer: string
child 2, latest_public_observation_ts: timestamp[s]
child 3, latest_public_observation_runner: string
child 4, input_digest: string
child 5, audit: string
child 6, source: string
signature: struct<alg: string, public_key_hex: string, sig_hex: string, signed_canonical: string>
child 0, alg: string
child 1, public_key_hex: string
child 2, sig_hex: string
child 3, signed_canonical: string
doctrine: string
lane_layer: struct<method: string, items: int64, sweeps: list<item: string>>
child 0, method: string
child 1, items: int64
child 2, sweeps: list<item: string>
child 0, item: string
veto: string
generated: timestamp[s]
to
{'schema': Value('string'), 'date': Value('timestamp[s]'), 'generated': Value('timestamp[s]'), 'board_state': {'axes_served': Value('int64'), 'measured': Value('int64'), 'owner_gated_pending': Value('int64')}, 'lane_layer': {'method': Value('string'), 'items': Value('int64'), 'sweeps': List(Value('string'))}, 'human_lane': {'state': Value('string')}, 'doctrine': Value('string'), 'veto': 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
schema: string
date: timestamp[s]
generated_at: timestamp[s]
freshness: struct<canonical_snapshot: struct<ts: timestamp[s], age_hours: double, state: string, writer: string (... 171 chars omitted)
child 0, canonical_snapshot: struct<ts: timestamp[s], age_hours: double, state: string, writer: string>
child 0, ts: timestamp[s]
child 1, age_hours: double
child 2, state: string
child 3, writer: string
child 1, latest_public_observation: struct<ts: timestamp[s], age_hours: double, state: string, runner: string>
child 0, ts: timestamp[s]
child 1, age_hours: double
child 2, state: string
child 3, runner: string
child 2, threshold_hours: struct<warn: int64, alert: int64>
child 0, warn: int64
child 1, alert: int64
child 3, note: string
board_state: struct<slots: int64, measured: int64, separated: int64, ties: int64, untested: int64>
child 0, slots: int64
child 1, measured: int64
child 2, separated: int64
child 3, ties: int64
child 4, untested: int64
fleet_leader_per_axis: struct<model_comparisons: string>
child 0, model_comparisons: string
watchdog: struct<kev_count: int64, kev_released: string, freeze_root: string, freeze_rows: int64, latest_obser (... 59 chars omitted)
child 0, kev_count: int64
child 1, kev_released: string
child 2, freeze_root: string
child 3, freeze_rows: int64
child 4, latest_observation_ts: timestamp[s]
child 5, latest_observation_runner: string
ecosystem: struct<mcp_answ
...
hild 5, hf_trending: string
child 6, hf_new_30d: string
atlas: struct<gpai_provisions: int64, gpai_as_of: string, wired: int64, partial: int64, unmeasured: int64, (... 87 chars omitted)
child 0, gpai_provisions: int64
child 1, gpai_as_of: string
child 2, wired: int64
child 3, partial: int64
child 4, unmeasured: int64
child 5, doors_generated_at: timestamp[s]
child 6, next_door: timestamp[s]
child 7, next_door_regulator: string
grid_cells: int64
human_lane: struct<state: string, verified_attempts: int64, note: string>
child 0, state: string
child 1, verified_attempts: int64
child 2, note: string
provenance: struct<canonical_snapshot_ts: timestamp[s], canonical_writer: string, latest_public_observation_ts: (... 108 chars omitted)
child 0, canonical_snapshot_ts: timestamp[s]
child 1, canonical_writer: string
child 2, latest_public_observation_ts: timestamp[s]
child 3, latest_public_observation_runner: string
child 4, input_digest: string
child 5, audit: string
child 6, source: string
signature: struct<alg: string, public_key_hex: string, sig_hex: string, signed_canonical: string>
child 0, alg: string
child 1, public_key_hex: string
child 2, sig_hex: string
child 3, signed_canonical: string
doctrine: string
lane_layer: struct<method: string, items: int64, sweeps: list<item: string>>
child 0, method: string
child 1, items: int64
child 2, sweeps: list<item: string>
child 0, item: string
veto: string
generated: timestamp[s]
to
{'schema': Value('string'), 'date': Value('timestamp[s]'), 'generated': Value('timestamp[s]'), 'board_state': {'axes_served': Value('int64'), 'measured': Value('int64'), 'owner_gated_pending': Value('int64')}, 'lane_layer': {'method': Value('string'), 'items': Value('int64'), 'sweeps': List(Value('string'))}, 'human_lane': {'state': Value('string')}, 'doctrine': Value('string'), 'veto': 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.
GSPC Master Index — the one-glance signed daily signal (CC0)
ONE Ed25519-signed daily state across all 34 axes + ecosystem surfaces + the Global Regulation Atlas. Schema 0.2 separates the latest public observation from the canonical snapshot and reports both freshness states. States only — never summed, never a score. human_lane reads PRACTICE-only until the first identity-verified human attempt. Verify: the signature covers the canonical JSON (sort_keys, compact separators) under the published public key (signature.public_key_hex); every underlying number is re-fetchable from its source with its own as_of. Sources: https://councilof.ai/api/gspc · https://councilof.ai/gspc-verify · datasets csoai/gspc-pulse + csoai/gspc-grid (CC0).
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