GSPC measurement banks (Council of AI)
Collection
Live: 14 measured of 14 (GET councilof.ai/api/gspc). Jail MEASURED/TIE. Slot-15 empty. Measurement banks — not certification. • 17 items • Updated
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
benchmark: string
harness: string
generated_utc: timestamp[s]
models: struct<control: string, operator: string>
child 0, control: string
child 1, operator: string
n: int64
quotable: bool
results: struct<control: struct<acc: double, ci95: list<item: double>, unparsed: int64>, operator: struct<acc (... 53 chars omitted)
child 0, control: struct<acc: double, ci95: list<item: double>, unparsed: int64>
child 0, acc: double
child 1, ci95: list<item: double>
child 0, item: double
child 2, unparsed: int64
child 1, operator: struct<acc: double, ci95: list<item: double>, unparsed: int64>
child 0, acc: double
child 1, ci95: list<item: double>
child 0, item: double
child 2, unparsed: int64
source: string
expected: string
tool: string
_canary: string
anchor: string
axis: string
to
{'tool': Value('string'), 'expected': Value('string'), 'anchor': Value('string'), 'axis': Value('string'), 'source': Value('string'), '_canary': 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
benchmark: string
harness: string
generated_utc: timestamp[s]
models: struct<control: string, operator: string>
child 0, control: string
child 1, operator: string
n: int64
quotable: bool
results: struct<control: struct<acc: double, ci95: list<item: double>, unparsed: int64>, operator: struct<acc (... 53 chars omitted)
child 0, control: struct<acc: double, ci95: list<item: double>, unparsed: int64>
child 0, acc: double
child 1, ci95: list<item: double>
child 0, item: double
child 2, unparsed: int64
child 1, operator: struct<acc: double, ci95: list<item: double>, unparsed: int64>
child 0, acc: double
child 1, ci95: list<item: double>
child 0, item: double
child 2, unparsed: int64
source: string
expected: string
tool: string
_canary: string
anchor: string
axis: string
to
{'tool': Value('string'), 'expected': Value('string'), 'anchor': Value('string'), 'axis': Value('string'), 'source': Value('string'), '_canary': 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 axis: conformance (MCPBench)
Part of the Council of AI 14-slot GSPC board. Live ruling: 14 measured of 14 quotable.
| Field | Value |
|---|---|
| Axis | conformance |
| Bench | MCPBench |
| Board status | MEASURED |
| Separation | TIE |
| Leader (live board) | council-preservation-v3-light (council specialist) |
| Board DOI | 10.57967/hf/10114 |
| Source of truth | https://councilof.ai/api/gspc |
Measurement only — not certification. Quotable board = 14 axes (do not invent 22).
See also csoai/gspc-board.
- Downloads last month
- 136