Datasets:

professorsynapse
/

eh-wrong-answer-cell-power-fix

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
mode: string
extraction_dir: string
manifest_extraction_config_sha: string
manifest_data_sha256: string
primary_layer: int64
layer_band: list<item: int64>
  child 0, item: int64
n_boot: int64
seed: int64
G0_1_render_parity: struct<n_sampled: int64, n_checked: int64, n_mismatches: int64, mismatches: list<item: null>, thinki (... 40 chars omitted)
  child 0, n_sampled: int64
  child 1, n_checked: int64
  child 2, n_mismatches: int64
  child 3, mismatches: list<item: null>
      child 0, item: null
  child 4, thinking_off_clean_100pct: string
  child 5, pass: bool
G0_2_join_integrity: struct<n_grpov2_rows: int64, n_cleansft_rows: int64, n_shared_ids: int64, n_only_grpov2: int64, n_on (... 909 chars omitted)
  child 0, n_grpov2_rows: int64
  child 1, n_cleansft_rows: int64
  child 2, n_shared_ids: int64
  child 3, n_only_grpov2: int64
  child 4, n_only_cleansft: int64
  child 5, n_duplicate_ids_grpov2: int64
  child 6, n_duplicate_ids_cleansft: int64
  child 7, n_question_or_label_mismatches_on_shared_ids: int64
  child 8, recovered_counts: struct<grpov2: struct<rows: int64, answered_known: int64, correct: int64, wrong: int64>, cleansft: s (... 72 chars omitted)
      child 0, grpov2: struct<rows: int64, answered_known: int64, correct: int64, wrong: int64>
          child 0, rows: int64
          child 1, answered_known: int64
          child 2, correct: int64
          child 3, wrong: int64
      child 1, cleansft: struct<rows: int64, answered_known: int64, correct: int64, wrong
...
       child 0, n: int64
              child 1, emitted_mean: double
          child 2, known_refused: struct<n: int64, emitted_mean: double>
              child 0, n: int64
              child 1, emitted_mean: double
          child 3, unknown_refused: struct<n: int64, emitted_mean: double>
              child 0, n: int64
              child 1, emitted_mean: double
          child 4, unknown_answered: struct<n: int64, emitted_mean: double>
              child 0, n: int64
              child 1, emitted_mean: double
E4_ambiguity_note: string
E5_convergent_validity: struct<status: string, reason: string>
  child 0, status: string
  child 1, reason: string
verdict: struct<label: string, reason: string>
  child 0, label: string
  child 1, reason: string
instrument_config_sha256: struct<arm_a_extract.py: string, cell.yaml: string, gates.yaml: string, readout.py: string, real_run (... 57 chars omitted)
  child 0, arm_a_extract.py: string
  child 1, cell.yaml: string
  child 2, gates.yaml: string
  child 3, readout.py: string
  child 4, real_run.py: string
  child 5, row_join.py: string
  child 6, score_gates.py: string
repo_commit_sha: string
license_gate_excluded: struct<>
excluded: list<item: null>
  child 0, item: null
files: struct<real_run_results.json: string, real_run_results.md: string>
  child 0, real_run_results.json: string
  child 1, real_run_results.md: string
shape: string
experiment_slug: string
sources_present: struct<>
generation_date: string
amendment_path: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'real_run_results.json': Value('string'), 'real_run_results.md': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'arm_a_extract.py': Value('string'), 'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'readout.py': Value('string'), 'real_run.py': Value('string'), 'row_join.py': Value('string'), 'score_gates.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
              mode: string
              extraction_dir: string
              manifest_extraction_config_sha: string
              manifest_data_sha256: string
              primary_layer: int64
              layer_band: list<item: int64>
                child 0, item: int64
              n_boot: int64
              seed: int64
              G0_1_render_parity: struct<n_sampled: int64, n_checked: int64, n_mismatches: int64, mismatches: list<item: null>, thinki (... 40 chars omitted)
                child 0, n_sampled: int64
                child 1, n_checked: int64
                child 2, n_mismatches: int64
                child 3, mismatches: list<item: null>
                    child 0, item: null
                child 4, thinking_off_clean_100pct: string
                child 5, pass: bool
              G0_2_join_integrity: struct<n_grpov2_rows: int64, n_cleansft_rows: int64, n_shared_ids: int64, n_only_grpov2: int64, n_on (... 909 chars omitted)
                child 0, n_grpov2_rows: int64
                child 1, n_cleansft_rows: int64
                child 2, n_shared_ids: int64
                child 3, n_only_grpov2: int64
                child 4, n_only_cleansft: int64
                child 5, n_duplicate_ids_grpov2: int64
                child 6, n_duplicate_ids_cleansft: int64
                child 7, n_question_or_label_mismatches_on_shared_ids: int64
                child 8, recovered_counts: struct<grpov2: struct<rows: int64, answered_known: int64, correct: int64, wrong: int64>, cleansft: s (... 72 chars omitted)
                    child 0, grpov2: struct<rows: int64, answered_known: int64, correct: int64, wrong: int64>
                        child 0, rows: int64
                        child 1, answered_known: int64
                        child 2, correct: int64
                        child 3, wrong: int64
                    child 1, cleansft: struct<rows: int64, answered_known: int64, correct: int64, wrong
              ...
                     child 0, n: int64
                            child 1, emitted_mean: double
                        child 2, known_refused: struct<n: int64, emitted_mean: double>
                            child 0, n: int64
                            child 1, emitted_mean: double
                        child 3, unknown_refused: struct<n: int64, emitted_mean: double>
                            child 0, n: int64
                            child 1, emitted_mean: double
                        child 4, unknown_answered: struct<n: int64, emitted_mean: double>
                            child 0, n: int64
                            child 1, emitted_mean: double
              E4_ambiguity_note: string
              E5_convergent_validity: struct<status: string, reason: string>
                child 0, status: string
                child 1, reason: string
              verdict: struct<label: string, reason: string>
                child 0, label: string
                child 1, reason: string
              instrument_config_sha256: struct<arm_a_extract.py: string, cell.yaml: string, gates.yaml: string, readout.py: string, real_run (... 57 chars omitted)
                child 0, arm_a_extract.py: string
                child 1, cell.yaml: string
                child 2, gates.yaml: string
                child 3, readout.py: string
                child 4, real_run.py: string
                child 5, row_join.py: string
                child 6, score_gates.py: string
              repo_commit_sha: string
              license_gate_excluded: struct<>
              excluded: list<item: null>
                child 0, item: null
              files: struct<real_run_results.json: string, real_run_results.md: string>
                child 0, real_run_results.json: string
                child 1, real_run_results.md: string
              shape: string
              experiment_slug: string
              sources_present: struct<>
              generation_date: string
              amendment_path: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'real_run_results.json': Value('string'), 'real_run_results.md': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'arm_a_extract.py': Value('string'), 'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'readout.py': Value('string'), 'real_run.py': Value('string'), 'row_join.py': Value('string'), 'score_gates.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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wrong-answer-cell-power-fix -- 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-wrong-answer-cell-power-fix

Provenance

Experiment: experiments/wrong-answer-cell-power-fix
Amendment: experiments/wrong-answer-cell-power-fix/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:29.586355+00:00
Pinned instrument config sha256:
- arm_a_extract.py: 0b5f9b25a3cfc7d9b4b6614d57a6fd868880896e093dc380db03121ca4890687
- cell.yaml: 5ee37dd3bdb12e64dd526441f34e732d241e11fbd9c6841879d51ae3ed7b6b34
- gates.yaml: 01ee0b017009cf6298a77c60fb5e2a82a67324c1bc0a7d4398489ee1bad2cc54
- readout.py: 75f2c17b2eb0c59a88bdc6f8aca6770db9985adfd0c933f0157458cb5384496b
- real_run.py: 893c66366800027099ed837e584167c8764bb3d8b1e0286273e591e5bd14b1fa
- row_join.py: 187ddd53f7d8027fa0b06dbbf92bd5fa50b65180b56d4ea34c304a9d28d6aa85
- score_gates.py: cbf8e154b9423f1875b600118e35b5b7de5b0d44e36ab3cdb77bf67caaf2a23a

File inventory

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

real_run_results.json: 1 file(s)
real_run_results.md: 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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