The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type string to null
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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2005, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type string to nullNeed 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 Boards — 13-axis durable board
Deterministic multi-model boards for the 13 GSPC axes, produced by sovos-city's
durable_board runner. Each board is pushed here the instant its axis finishes,
so no pod reboot can lose a completed axis (this repo survived several this
session; the pods did not). Per-item rows are published alongside each board so
every number is recomputable.
Honest status (2026-08-12)
Run fleet: 5 surviving sovereign models on a stable 3090
(sov-safety-v1, sov-merge-slerp, sov-merge-dare, sov-refusal-combo-lora,
qwen2.5 base). The exact sov6-v3-light fleet was ephemeral and lost in a pod
reboot — these are the models that landed somewhere durable.
| Axis | Status | Note |
|---|---|---|
| governance | MEASURED (n=237) | sovereign best 0.392 > base 0.291 |
| safety, provenance, continuity, conformance, openness, machinery, care, cross-reality, detector-interop, art5-safeguard, swarm, affect | UNMEASURED | the small sovereign fleet could not produce quotable label responses — reported honestly, not scored |
Only governance measured. The other 12 are UNMEASURED because a weak fleet
could not answer in the label schema — the board says so rather than inventing a
number. A richer instruction-tuned fleet (gemma3:12b etc.) re-measures the
UNMEASURED axes on resume; durable_board skips only MEASURED boards.
Tail risk — governance (the fat tail the mean hides)
Computed by sovos-city.tail@1.1.0 over the published per-item rows
(reproducible by anyone):
| statistic | value | meaning |
|---|---|---|
| mean item-pass | 0.297 | the linear number — looks ~30% competent |
| CVaR-5% | 0.000 | the worst 5% of items: zero models pass |
| correlated-failure | 48.3% | ~half the items break the whole fleet at once |
The mean says 30%; the tail says half the items are catastrophic and correlated — every model fails them together. Independent errors average out; correlated ones are the fat tail that executes at scale. A mean-only board would have hidden this entirely. Tail stats are quoted only at n>=100 (governance clears it); worst-case and correlated-failure are any-n signals.
Method
Deterministic exact-label grading; unparsed counts incorrect; transport failures excluded as ours; canaries excluded; nothing quoted below usable n>=30. No model judges another model. Each board names its aggregator (name@version(params)) so the same rows cannot be quietly re-aggregated into a different number.
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