The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
category: string
question: string
scoring_rubric: struct<objective_satisfied: bool, quaestro_locked: bool, exit_reason: string, min_segments: int64, q (... 69 chars omitted)
child 0, objective_satisfied: bool
child 1, quaestro_locked: bool
child 2, exit_reason: string
child 3, min_segments: int64
child 4, quaestro_last_result_contains: string
child 5, trap_codes: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'category': Value('string'), 'question': 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 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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
category: string
question: string
scoring_rubric: struct<objective_satisfied: bool, quaestro_locked: bool, exit_reason: string, min_segments: int64, q (... 69 chars omitted)
child 0, objective_satisfied: bool
child 1, quaestro_locked: bool
child 2, exit_reason: string
child 3, min_segments: int64
child 4, quaestro_last_result_contains: string
child 5, trap_codes: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'category': Value('string'), 'question': 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.
Challenge: Replicate the SOPHUS Defense
If scaling laws are sufficient to police algebraic hallucination, this corpus is where you prove it.
This release packages the Quaestro Bombardment-200 challenge: two hundred adversarially structured prompts spanning valid Lie-superalgebra intents and Fail-Closed trap classes, together with the Key–Value answer targets extracted under the SOPHUS dual-control architecture (typed constitution + residual excision) on a 9B-class model.
SOPHUS closed this split under the author's protocol at Intent Accuracy 200/200, with Fail-Closed exits on every trap row and zero budget_exhausted outcomes. The extraction machinery is not shipped here. The theoretical and systems methodology is published as Bona Sapiens Technical Report BS-7:
Sophus: Constrained Generation for Verified Algebra
DOI:10.5281/zenodo.21712705
The challenge
Reproduce, by any means you prefer—frontier parameter count, long context, tool use, RLHF, constitutional AI, or prompt alchemy—both of the following on all 200 items:
- Defense: constitutionally admissible intents lock; every trap Fail-Closes (no fluent improvisation past the algebraic boundary; no wall-clock budget collapse substituted for typed refusal).
- Extraction: recover the SOPHUS Key–Value targets for the admissible sector (see
sophus_kv_target.jsonl).
We do not provide the C++ orchestrator, residual forge, or intercept lattice. We provide the problems, the targets, and a public whitepaper. If scale alone solves verifiable algebra, the leaderboard writes itself.
Files
| File | Role |
|---|---|
quaestro_200.jsonl |
Challenge inputs: id, category, question, scoring_rubric |
sophus_kv_target.jsonl |
SOPHUS reference targets: lock/Fail-Closed labels, quaestro_last_result, and extracted kv_segments |
README.md |
This card |
Rules of engagement
- Cite the Zenodo report when you publish attempts, successes, or partial closures.
- Report protocol clearly: model, decoding, tools, wall-clock budget, and how you score “Fail-Closed” versus soft refusal.
- Partial credit is welcome; 100/100 defense plus target extraction is the bar SOPHUS already cleared on this split under the stated harness.
- This is an author-controlled corpus and scoring surface, not a claim of universal fixed points or external SOTA rankings.
Citation
@misc{kim2026sophus,
author = {Kim, In-Gee},
title = {Sophus: Constrained Generation for Verified Algebra},
year = {2026},
doi = {10.5281/zenodo.21712705},
url = {https://doi.org/10.5281/zenodo.21712705},
note = {Bona Sapiens, Inc. Technical Report (BS-7)},
}
Dataset: bonasapiensinc/Quaestro-Bombardment-200.
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