The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
gold_label: string
qhash: string
row_key: string
source: string
experiment_slug: string
repo_commit_sha: string
amendment_path: string
instrument_config_sha256: struct<cell.yaml: string, cloud/modal_bb_phase0.py: string, gates.yaml: string>
child 0, cell.yaml: string
child 1, cloud/modal_bb_phase0.py: string
child 2, gates.yaml: string
shape: string
generation_date: string
sources_present: struct<>
license_gate_excluded: struct<>
files: struct<fit_surface/PROVENANCE.md: string, fit_surface/fit_ids.jsonl: string, phase0/density_report.j (... 183 chars omitted)
child 0, fit_surface/PROVENANCE.md: string
child 1, fit_surface/fit_ids.jsonl: string
child 2, phase0/density_report.json: string
child 3, phase1/gate_report.json: string
child 4, phase1/near_dup_flagged.json: string
child 5, read_surface_h9_vendored/PROVENANCE.md: string
child 6, read_surface_h9_vendored/holdout_ids.jsonl: string
excluded: list<item: null>
child 0, item: null
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_surface/PROVENANCE.md': Value('string'), 'fit_surface/fit_ids.jsonl': Value('string'), 'phase0/density_report.json': Value('string'), 'phase1/gate_report.json': Value('string'), 'phase1/near_dup_flagged.json': Value('string'), 'read_surface_h9_vendored/PROVENANCE.md': Value('string'), 'read_surface_h9_vendored/holdout_ids.jsonl': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'cloud/modal_bb_phase0.py': Value('string'), 'gates.yaml': 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
gold_label: string
qhash: string
row_key: string
source: string
experiment_slug: string
repo_commit_sha: string
amendment_path: string
instrument_config_sha256: struct<cell.yaml: string, cloud/modal_bb_phase0.py: string, gates.yaml: string>
child 0, cell.yaml: string
child 1, cloud/modal_bb_phase0.py: string
child 2, gates.yaml: string
shape: string
generation_date: string
sources_present: struct<>
license_gate_excluded: struct<>
files: struct<fit_surface/PROVENANCE.md: string, fit_surface/fit_ids.jsonl: string, phase0/density_report.j (... 183 chars omitted)
child 0, fit_surface/PROVENANCE.md: string
child 1, fit_surface/fit_ids.jsonl: string
child 2, phase0/density_report.json: string
child 3, phase1/gate_report.json: string
child 4, phase1/near_dup_flagged.json: string
child 5, read_surface_h9_vendored/PROVENANCE.md: string
child 6, read_surface_h9_vendored/holdout_ids.jsonl: string
excluded: list<item: null>
child 0, item: null
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_surface/PROVENANCE.md': Value('string'), 'fit_surface/fit_ids.jsonl': Value('string'), 'phase0/density_report.json': Value('string'), 'phase1/gate_report.json': Value('string'), 'phase1/near_dup_flagged.json': Value('string'), 'read_surface_h9_vendored/PROVENANCE.md': Value('string'), 'read_surface_h9_vendored/holdout_ids.jsonl': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'cloud/modal_bb_phase0.py': Value('string'), 'gates.yaml': 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.
bb-base-propensity-fit-read -- 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-bb-base-propensity-fit-read
Provenance
- Experiment:
experiments/bb-base-propensity-fit-read - Amendment:
experiments/bb-base-propensity-fit-read/AMENDMENT.md - Repo commit SHA:
37eaa399bb4a7ce999e63d8b202d5c084f599fa6 - Generated:
2026-08-28T00:14:33.413842+00:00 - Pinned instrument config sha256:
cell.yaml:ad79980f6bb97ed7a2c8b291f3dadc8c8e2a65f0d46a1461241903ebe7aabb75cloud/modal_bb_phase0.py:ba0341c4f7e5361c4fde201e7e5c9877a6a7fed1a9fa2626f6573c2a5612229fgates.yaml:33fe08ad0aba33964e46ead6a1dcda0a8e73f5b79c9dc68b9645fcc427aa545b
File inventory
7 file(s) total, by top-level path:
fit_surface: 2 file(s)phase0: 1 file(s)phase1: 2 file(s)read_surface_h9_vendored: 2 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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