The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
committed_at: string
file_name: string
sha256: string
experiment_slug: string
generation_date: string
excluded: list<item: null>
child 0, item: null
license_gate_excluded: struct<>
shape: string
sources_present: struct<>
repo_commit_sha: string
amendment_path: string
instrument_config_sha256: struct<apply_adjudication.py: string, build_adjudication_pool.py: string, cell.yaml: string, detecto (... 325 chars omitted)
child 0, apply_adjudication.py: string
child 1, build_adjudication_pool.py: string
child 2, cell.yaml: string
child 3, detector_v2.py: string
child 4, detector_v2_patterns.yaml: string
child 5, direction_fit.py: string
child 6, fit_reuse.py: string
child 7, gates.yaml: string
child 8, gates_lib.py: string
child 9, gen_lib.py: string
child 10, grader.py: string
child 11, heldout_scorer.py: string
child 12, materialize_rows.py: string
child 13, pipeline.py: string
child 14, render.py: string
child 15, steer_lib.py: string
child 16, test_rr2_smoke.py: string
files: struct<adjudication_graded_manifest.json: string, adjudication_pool_manifest.json: string, final_rep (... 82 chars omitted)
child 0, adjudication_graded_manifest.json: string
child 1, adjudication_pool_manifest.json: string
child 2, final_report.json: string
child 3, heldout_summary.json: string
child 4, materialize_manifest.json: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'adjudication_graded_manifest.json': Value('string'), 'adjudication_pool_manifest.json': Value('string'), 'final_report.json': Value('string'), 'heldout_summary.json': Value('string'), 'materialize_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_adjudication_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_fit.py': Value('string'), 'fit_reuse.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldout_scorer.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'steer_lib.py': Value('string'), 'test_rr2_smoke.py': Value('string')}, 'license_gate_excluded': {}, 'repo_commit_sha': Value('string'), 'shape': Value('string'), 'sources_present': {}}
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
committed_at: string
file_name: string
sha256: string
experiment_slug: string
generation_date: string
excluded: list<item: null>
child 0, item: null
license_gate_excluded: struct<>
shape: string
sources_present: struct<>
repo_commit_sha: string
amendment_path: string
instrument_config_sha256: struct<apply_adjudication.py: string, build_adjudication_pool.py: string, cell.yaml: string, detecto (... 325 chars omitted)
child 0, apply_adjudication.py: string
child 1, build_adjudication_pool.py: string
child 2, cell.yaml: string
child 3, detector_v2.py: string
child 4, detector_v2_patterns.yaml: string
child 5, direction_fit.py: string
child 6, fit_reuse.py: string
child 7, gates.yaml: string
child 8, gates_lib.py: string
child 9, gen_lib.py: string
child 10, grader.py: string
child 11, heldout_scorer.py: string
child 12, materialize_rows.py: string
child 13, pipeline.py: string
child 14, render.py: string
child 15, steer_lib.py: string
child 16, test_rr2_smoke.py: string
files: struct<adjudication_graded_manifest.json: string, adjudication_pool_manifest.json: string, final_rep (... 82 chars omitted)
child 0, adjudication_graded_manifest.json: string
child 1, adjudication_pool_manifest.json: string
child 2, final_report.json: string
child 3, heldout_summary.json: string
child 4, materialize_manifest.json: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'adjudication_graded_manifest.json': Value('string'), 'adjudication_pool_manifest.json': Value('string'), 'final_report.json': Value('string'), 'heldout_summary.json': Value('string'), 'materialize_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_adjudication_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_fit.py': Value('string'), 'fit_reuse.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldout_scorer.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'steer_lib.py': Value('string'), 'test_rr2_smoke.py': Value('string')}, 'license_gate_excluded': {}, 'repo_commit_sha': Value('string'), 'shape': Value('string'), 'sources_present': {}}
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.
rr2-mistral-adjudicated-refusal-confirm -- aggregate exhaust
Aggregate-only: every file committed under this experiment's analysis-committed/ tree (dose-response tables, direction fits, gate AUROCs, manifests, and any other analysis artifact), copied byte-for-byte. No source question text, aliases, or per-row generation text -- analysis-committed/ never carries those.
HF repo: professorsynapse/eh-rr2-mistral-adjudicated-refusal-confirm
Provenance
- Experiment:
experiments/rr2-mistral-adjudicated-refusal-confirm - Amendment:
experiments/rr2-mistral-adjudicated-refusal-confirm/AMENDMENT.md - Repo commit SHA:
37eaa399bb4a7ce999e63d8b202d5c084f599fa6 - Generated:
2026-08-28T00:14:35.168484+00:00 - Pinned instrument config sha256:
apply_adjudication.py:707409d3f24e0ed005aec225660eb578ac73cc67179cf30d5ed789b26d7cb8afbuild_adjudication_pool.py:e0f709f77215f2d9249e78500b0f50232b10bcaee4793b36aca6be6d508aaa7fcell.yaml:d578b55d613dafc389a19d1771a16001f2bc47516e7fc1f3957234b96d0db6a0detector_v2.py:161fd8548ec0dad1daabd590870654f1c32bd0daf21e6026a2c18c83e83991aedetector_v2_patterns.yaml:36422e01ae03008c2f71f180158c63950e14f8dfc1279c4e654c89fb831841d9direction_fit.py:44e5d98ce736e97ff38fae377be625eca4134fc5f51ece44c220eced9c6d7771fit_reuse.py:c9b90a1977f9bfd63bedd992a95c61369380cafc52bd61526634177081ecbe01gates.yaml:cea6ec866450a22a03fbde45811f13c1f9d9c3b93f28f39ce04c70f30163679egates_lib.py:85f7e120d633b86bbc339885d042838c1edfb05b018aa71de2fcd595d920d2c7gen_lib.py:2aedb0b2091457f832c4ff7614a90f2716f26b6dcd091e7348a47bdac0de13b4grader.py:bd5a974d7aa56cc28d8e6380e6176b81ea646fa276760feb31dc3d6bdc681218heldout_scorer.py:1f043b51f9a856b44f5227f4bbe6792b6706353689a5c6a2969c0fe6c0273fd1materialize_rows.py:41df28de05f55d2d50b71f49d66487a74c6929b4786ff92f48ad2eb37fa96490pipeline.py:33de030c482114954c406a52a7a8cea0f0fb0ce8686a5fe58c6b4ce4514f0b90render.py:c273891f1e62d4b42f9a328259ba9d6a5318d62ed562eec2418fc9794fe32a7dsteer_lib.py:3c09e0b74ebf9ae79da08026cb9de2d839069e8efb8caca25948a002a7ea60f4test_rr2_smoke.py:ca3a02d2e68c9e79ab4f81e765f93081a1e9a29df035ca46237016c798a3d28e
File inventory
5 file(s) total, by top-level path:
adjudication_graded_manifest.json: 1 file(s)adjudication_pool_manifest.json: 1 file(s)final_report.json: 1 file(s)heldout_summary.json: 1 file(s)materialize_manifest.json: 1 file(s)
License-gate exclusions
(none)
Hard-exclusion skips
Files whose relative path under analysis-committed/ matched a structural hard-exclusion pattern and were skipped (not copied):
(none)
Files
See PROVENANCE.json for the full machine-readable file list (relative path -> sha256) and the hard-exclusion skip list with reasons.
Release Boundary
Built by .skills/data-exhaust/scripts/build_exhaust_dataset.py, gated by
.skills/data-exhaust/reference/license-gates.md, and verified by
.skills/data-exhaust/scripts/verify_exhaust.py before any upload. Hard
exclusions (OpenMOSS/Cheng IDK, bridge_llama2_7b_chat) are enforced
structurally in code, not only by this table.
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