Datasets:

professorsynapse
/

eh-placebo-signflip-question-type-analysis

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
behavioral_leg: struct<A_qh: struct<bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: dou (... 8628 chars omitted)
  child 0, A_qh: struct<bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: double, random:  (... 2618 chars omitted)
      child 0, bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: double, random: string>, target: s (... 59 chars omitted)
          child 0, match: bool
          child 1, observed: struct<baseline: string, delta_pts: double, random: string>
              child 0, baseline: string
              child 1, delta_pts: double
              child 2, random: string
          child 2, target: struct<baseline: string, delta_pts: double, random: string>
              child 0, baseline: string
              child 1, delta_pts: double
              child 2, random: string
      child 1, cell: string
      child 2, family: string
      child 3, kuq_subtype_breakdown: struct<_coverage_note: string, controversial/debatable question: struct<baseline_refused_final: stru (... 1769 chars omitted)
          child 0, _coverage_note: string
          child 1, controversial/debatable question: struct<baseline_refused_final: struct<n: int64, rate: double, successes: int64, wilson_ci_95: list<i (... 178 chars omitted)
              child 0, baseline_refused_final: struct<n: int64, rate: double, successes: int64, wilson_ci_95: list<item: double>>
                  child 0, n: int64
            
...
j_d: double
              child 3, median_z_c: double
              child 4, median_z_d: double
              child 5, n: int64
              child 6, n_displacement: int64
          child 6, unsolved problem/mistery: struct<median_m3_displacement: double, median_proj_c: double, median_proj_d: double, median_z_c: dou (... 57 chars omitted)
              child 0, median_m3_displacement: double
              child 1, median_proj_c: double
              child 2, median_proj_d: double
              child 3, median_z_c: double
              child 4, median_z_d: double
              child 5, n: int64
              child 6, n_displacement: int64
excluded: list<item: null>
  child 0, item: null
instrument_config_sha256: struct<behavioral_leg.py: string, cell.yaml: string, common.py: string, frame_port.py: string, gates (... 137 chars omitted)
  child 0, behavioral_leg.py: string
  child 1, cell.yaml: string
  child 2, common.py: string
  child 3, frame_port.py: string
  child 4, gates.yaml: string
  child 5, mechanism_leg.py: string
  child 6, report.py: string
  child 7, run_mechanism.py: string
  child 8, staging.py: string
  child 9, test_signflip_smoke.py: string
sources_present: struct<>
generation_date: string
license_gate_excluded: struct<>
files: struct<signflip_report.json: string, staging_manifest.json: string>
  child 0, signflip_report.json: string
  child 1, staging_manifest.json: string
repo_commit_sha: string
shape: string
amendment_path: string
experiment_slug: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'signflip_report.json': Value('string'), 'staging_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'behavioral_leg.py': Value('string'), 'cell.yaml': Value('string'), 'common.py': Value('string'), 'frame_port.py': Value('string'), 'gates.yaml': Value('string'), 'mechanism_leg.py': Value('string'), 'report.py': Value('string'), 'run_mechanism.py': Value('string'), 'staging.py': Value('string'), 'test_signflip_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
              behavioral_leg: struct<A_qh: struct<bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: dou (... 8628 chars omitted)
                child 0, A_qh: struct<bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: double, random:  (... 2618 chars omitted)
                    child 0, bg0_check: struct<match: bool, observed: struct<baseline: string, delta_pts: double, random: string>, target: s (... 59 chars omitted)
                        child 0, match: bool
                        child 1, observed: struct<baseline: string, delta_pts: double, random: string>
                            child 0, baseline: string
                            child 1, delta_pts: double
                            child 2, random: string
                        child 2, target: struct<baseline: string, delta_pts: double, random: string>
                            child 0, baseline: string
                            child 1, delta_pts: double
                            child 2, random: string
                    child 1, cell: string
                    child 2, family: string
                    child 3, kuq_subtype_breakdown: struct<_coverage_note: string, controversial/debatable question: struct<baseline_refused_final: stru (... 1769 chars omitted)
                        child 0, _coverage_note: string
                        child 1, controversial/debatable question: struct<baseline_refused_final: struct<n: int64, rate: double, successes: int64, wilson_ci_95: list<i (... 178 chars omitted)
                            child 0, baseline_refused_final: struct<n: int64, rate: double, successes: int64, wilson_ci_95: list<item: double>>
                                child 0, n: int64
                          
              ...
              j_d: double
                            child 3, median_z_c: double
                            child 4, median_z_d: double
                            child 5, n: int64
                            child 6, n_displacement: int64
                        child 6, unsolved problem/mistery: struct<median_m3_displacement: double, median_proj_c: double, median_proj_d: double, median_z_c: dou (... 57 chars omitted)
                            child 0, median_m3_displacement: double
                            child 1, median_proj_c: double
                            child 2, median_proj_d: double
                            child 3, median_z_c: double
                            child 4, median_z_d: double
                            child 5, n: int64
                            child 6, n_displacement: int64
              excluded: list<item: null>
                child 0, item: null
              instrument_config_sha256: struct<behavioral_leg.py: string, cell.yaml: string, common.py: string, frame_port.py: string, gates (... 137 chars omitted)
                child 0, behavioral_leg.py: string
                child 1, cell.yaml: string
                child 2, common.py: string
                child 3, frame_port.py: string
                child 4, gates.yaml: string
                child 5, mechanism_leg.py: string
                child 6, report.py: string
                child 7, run_mechanism.py: string
                child 8, staging.py: string
                child 9, test_signflip_smoke.py: string
              sources_present: struct<>
              generation_date: string
              license_gate_excluded: struct<>
              files: struct<signflip_report.json: string, staging_manifest.json: string>
                child 0, signflip_report.json: string
                child 1, staging_manifest.json: string
              repo_commit_sha: string
              shape: string
              amendment_path: string
              experiment_slug: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'signflip_report.json': Value('string'), 'staging_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'behavioral_leg.py': Value('string'), 'cell.yaml': Value('string'), 'common.py': Value('string'), 'frame_port.py': Value('string'), 'gates.yaml': Value('string'), 'mechanism_leg.py': Value('string'), 'report.py': Value('string'), 'run_mechanism.py': Value('string'), 'staging.py': Value('string'), 'test_signflip_smoke.py': Value('string')}, 'license_gate_excluded': {}, 'repo_commit_sha': Value('string'), 'shape': Value('string'), 'sources_present': {}}
              because column names don't match

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placebo-signflip-question-type-analysis -- 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-placebo-signflip-question-type-analysis

Provenance

Experiment: experiments/placebo-signflip-question-type-analysis
Amendment: experiments/placebo-signflip-question-type-analysis/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:29.491987+00:00
Pinned instrument config sha256:
- behavioral_leg.py: be6539853c2e646b87d877b172474be5ee2b9c95ef913f81c5691cca3d29e41b
- cell.yaml: c29c3373cfb629c37572759fa369e812116fc52ba8875d0bd88565f100f8744c
- common.py: 853a212e0773017b01f8ced4f2de50d638199e0ba42016e02dc37933187fd60f
- frame_port.py: 4536fde43b0e79968717cffd57ec90e56e5030dc4ee602693d91c7715391f721
- gates.yaml: af871c5e1b7d4733cd0eeb23717a4f9f93f7648e2b64da1a95cc42ba32c7c18d
- mechanism_leg.py: 8e3c6fcc43fd2d0bf9841d065a99d4b2925d26772f83f997b8e528377402c2b5
- report.py: 564b381d6228e7f4a162eaa5933ade30855ba9e26be5856414cbb9d6956090d5
- run_mechanism.py: 8687062fc647d872f48b6940b22c9bf4be9bc20a09f0c188a1415efd0861fa74
- staging.py: 6f4a0bffbc4c75cac294c63263b8138449c4c1a45f47d7f27996bacb69e07422
- test_signflip_smoke.py: 79fe72f6f752d2c8db8416cd26fa5ac69056fecd903f926c8f68ce3db0b4bc6d

File inventory

2 file(s) total, by top-level path:

signflip_report.json: 1 file(s)
staging_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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