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
schema: string
run: string
model: string
census_context: string
formulas_total: int64
unproven_tested: int64
verdicts: struct<ABSTAINED: int64, SKETCH_CANDIDATE: int64, WEAK_OR_FAKE: int64>
child 0, ABSTAINED: int64
child 1, SKETCH_CANDIDATE: int64
child 2, WEAK_OR_FAKE: int64
badges: list<item: string>
child 0, item: string
wall_seconds: double
receipts: list<item: struct<schema: string, formula: string, model: string, verdict: string, abstained: bool, (... 124 chars omitted)
child 0, item: struct<schema: string, formula: string, model: string, verdict: string, abstained: bool, has_theorem (... 112 chars omitted)
child 0, schema: string
child 1, formula: string
child 2, model: string
child 3, verdict: string
child 4, abstained: bool
child 5, has_theorem: bool
child 6, has_sorry: bool
child 7, response: string
child 8, prev_sha256: string
child 9, timestamp_utc: timestamp[s]
child 10, row_sha256: string
timestamp_utc: timestamp[s]
summary_sha256: string
counts: struct<total: int64, locked: int64, unproven: int64>
child 0, total: int64
child 1, locked: int64
child 2, unproven: int64
locked_ids: list<item: string>
child 0, item: string
atlas: list<item: struct<id: string, statement: string, source: string, class: string, reported_status: str (... 26 chars omitted)
child 0, item: struct<id: string, statement: string, source: string, class: string, reported_status: string, locked (... 14 chars omitted)
child 0, id: string
child 1, statement: string
child 2, source: string
child 3, class: string
child 4, reported_status: string
child 5, locked_proven: bool
to
{'schema': Value('string'), 'atlas': List({'id': Value('string'), 'statement': Value('string'), 'source': Value('string'), 'class': Value('string'), 'reported_status': Value('string'), 'locked_proven': Value('bool')}), 'locked_ids': List(Value('string')), 'counts': {'total': Value('int64'), 'locked': Value('int64'), 'unproven': Value('int64')}}
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
run: string
model: string
census_context: string
formulas_total: int64
unproven_tested: int64
verdicts: struct<ABSTAINED: int64, SKETCH_CANDIDATE: int64, WEAK_OR_FAKE: int64>
child 0, ABSTAINED: int64
child 1, SKETCH_CANDIDATE: int64
child 2, WEAK_OR_FAKE: int64
badges: list<item: string>
child 0, item: string
wall_seconds: double
receipts: list<item: struct<schema: string, formula: string, model: string, verdict: string, abstained: bool, (... 124 chars omitted)
child 0, item: struct<schema: string, formula: string, model: string, verdict: string, abstained: bool, has_theorem (... 112 chars omitted)
child 0, schema: string
child 1, formula: string
child 2, model: string
child 3, verdict: string
child 4, abstained: bool
child 5, has_theorem: bool
child 6, has_sorry: bool
child 7, response: string
child 8, prev_sha256: string
child 9, timestamp_utc: timestamp[s]
child 10, row_sha256: string
timestamp_utc: timestamp[s]
summary_sha256: string
counts: struct<total: int64, locked: int64, unproven: int64>
child 0, total: int64
child 1, locked: int64
child 2, unproven: int64
locked_ids: list<item: string>
child 0, item: string
atlas: list<item: struct<id: string, statement: string, source: string, class: string, reported_status: str (... 26 chars omitted)
child 0, item: struct<id: string, statement: string, source: string, class: string, reported_status: string, locked (... 14 chars omitted)
child 0, id: string
child 1, statement: string
child 2, source: string
child 3, class: string
child 4, reported_status: string
child 5, locked_proven: bool
to
{'schema': Value('string'), 'atlas': List({'id': Value('string'), 'statement': Value('string'), 'source': Value('string'), 'class': Value('string'), 'reported_status': Value('string'), 'locked_proven': Value('bool')}), 'locked_ids': List(Value('string')), 'counts': {'total': Value('int64'), 'locked': Value('int64'), 'unproven': Value('int64')}}
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.
The Formula Proving Ground — the unproven frontier as a test
The atlas: 30 formulas. 8 locked-proven (Lean-verified, 24 carrier theorems). 22 unproven — the frontier test set. Each unproven formula is a probe: models must attempt a Lean 4 proof sketch or ABSTAIN. Every attempt is khipu-signed (ECDSA-P256) and published to the chain. A sorry-free sketch is a candidate; only a machine-checked Lean proof promotes a formula to locked.
The models do not get to fake proofs — the battery rewards abstention on what cannot be proven and real proof structure on what can.
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