Datasets:

professorsynapse
/

eh-form-judge-axis-g-rescore

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cell: string
screen_counts_source: string
graded_source: string
per_arm: struct<a_baseline: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_dege (... 1618 chars omitted)
  child 0, a_baseline: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
      child 0, n_f1: int64
      child 1, n_f2: int64
      child 2, n_f3: int64
      child 3, n_f4_explicit_idk: int64
      child 4, n_f5_degenerate: int64
      child 5, n_screened_in_expected: int64
      child 6, n_graded_total: int64
      child 7, screened_vs_graded_mismatch: bool
      child 8, n_non_degenerate: int64
      child 9, f2_f3_share: double
  child 1, a_dose_0p25: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
      child 0, n_f1: int64
      child 1, n_f2: int64
      child 2, n_f3: int64
      child 3, n_f4_explicit_idk: int64
      child 4, n_f5_degenerate: int64
      child 5, n_screened_in_expected: int64
      child 6, n_graded_total: int64
      child 7, screened_vs_graded_mismatch: bool
      child 8, n_non_degenerate: int64
      child 9, f2_f3_share: double
  child 2, a_dose_0p5: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
      child 0, n_f1: int64
      child 1, n_f2: int64
      child 2, n_f3: int64
      child 3, n_f4_explicit_idk: int64
      c
...
 2, a_dose_0p75: struct<share: double, clears_floor: bool, clears_over_baseline: bool, both_legs: bool>
          child 0, share: double
          child 1, clears_floor: bool
          child 2, clears_over_baseline: bool
          child 3, both_legs: bool
  child 3, share_floor: double
  child 4, min_over_baseline: double
files: struct<axis_g_arithmetic.json: string, calibration_pool_manifest.json: string, calibration_pool_mani (... 223 chars omitted)
  child 0, axis_g_arithmetic.json: string
  child 1, calibration_pool_manifest.json: string
  child 2, calibration_pool_manifest_attempt1_void.json: string
  child 3, form_judge_calibration_applied_manifest.json: string
  child 4, graded_manifest.json: string
  child 5, graded_manifest_attempt1_void.json: string
  child 6, screen_counts.json: string
  child 7, stability_diagnostic.json: string
amendment_path: string
repo_commit_sha: string
shape: string
experiment_slug: string
license_gate_excluded: struct<>
instrument_config_sha256: struct<apply_judge_grades.py: string, axis_g_arithmetic.py: string, build_judge_pool.py: string, cel (... 107 chars omitted)
  child 0, apply_judge_grades.py: string
  child 1, axis_g_arithmetic.py: string
  child 2, build_judge_pool.py: string
  child 3, cell.yaml: string
  child 4, gates.yaml: string
  child 5, judge_prompt.md: string
  child 6, screen_lib.py: string
  child 7, screen_rows.py: string
sources_present: struct<>
excluded: list<item: null>
  child 0, item: null
generation_date: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'axis_g_arithmetic.json': Value('string'), 'calibration_pool_manifest.json': Value('string'), 'calibration_pool_manifest_attempt1_void.json': Value('string'), 'form_judge_calibration_applied_manifest.json': Value('string'), 'graded_manifest.json': Value('string'), 'graded_manifest_attempt1_void.json': Value('string'), 'screen_counts.json': Value('string'), 'stability_diagnostic.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_judge_grades.py': Value('string'), 'axis_g_arithmetic.py': Value('string'), 'build_judge_pool.py': Value('string'), 'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'judge_prompt.md': Value('string'), 'screen_lib.py': Value('string'), 'screen_rows.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
              cell: string
              screen_counts_source: string
              graded_source: string
              per_arm: struct<a_baseline: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_dege (... 1618 chars omitted)
                child 0, a_baseline: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
                    child 0, n_f1: int64
                    child 1, n_f2: int64
                    child 2, n_f3: int64
                    child 3, n_f4_explicit_idk: int64
                    child 4, n_f5_degenerate: int64
                    child 5, n_screened_in_expected: int64
                    child 6, n_graded_total: int64
                    child 7, screened_vs_graded_mismatch: bool
                    child 8, n_non_degenerate: int64
                    child 9, f2_f3_share: double
                child 1, a_dose_0p25: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
                    child 0, n_f1: int64
                    child 1, n_f2: int64
                    child 2, n_f3: int64
                    child 3, n_f4_explicit_idk: int64
                    child 4, n_f5_degenerate: int64
                    child 5, n_screened_in_expected: int64
                    child 6, n_graded_total: int64
                    child 7, screened_vs_graded_mismatch: bool
                    child 8, n_non_degenerate: int64
                    child 9, f2_f3_share: double
                child 2, a_dose_0p5: struct<n_f1: int64, n_f2: int64, n_f3: int64, n_f4_explicit_idk: int64, n_f5_degenerate: int64, n_sc (... 130 chars omitted)
                    child 0, n_f1: int64
                    child 1, n_f2: int64
                    child 2, n_f3: int64
                    child 3, n_f4_explicit_idk: int64
                    c
              ...
               2, a_dose_0p75: struct<share: double, clears_floor: bool, clears_over_baseline: bool, both_legs: bool>
                        child 0, share: double
                        child 1, clears_floor: bool
                        child 2, clears_over_baseline: bool
                        child 3, both_legs: bool
                child 3, share_floor: double
                child 4, min_over_baseline: double
              files: struct<axis_g_arithmetic.json: string, calibration_pool_manifest.json: string, calibration_pool_mani (... 223 chars omitted)
                child 0, axis_g_arithmetic.json: string
                child 1, calibration_pool_manifest.json: string
                child 2, calibration_pool_manifest_attempt1_void.json: string
                child 3, form_judge_calibration_applied_manifest.json: string
                child 4, graded_manifest.json: string
                child 5, graded_manifest_attempt1_void.json: string
                child 6, screen_counts.json: string
                child 7, stability_diagnostic.json: string
              amendment_path: string
              repo_commit_sha: string
              shape: string
              experiment_slug: string
              license_gate_excluded: struct<>
              instrument_config_sha256: struct<apply_judge_grades.py: string, axis_g_arithmetic.py: string, build_judge_pool.py: string, cel (... 107 chars omitted)
                child 0, apply_judge_grades.py: string
                child 1, axis_g_arithmetic.py: string
                child 2, build_judge_pool.py: string
                child 3, cell.yaml: string
                child 4, gates.yaml: string
                child 5, judge_prompt.md: string
                child 6, screen_lib.py: string
                child 7, screen_rows.py: string
              sources_present: struct<>
              excluded: list<item: null>
                child 0, item: null
              generation_date: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'axis_g_arithmetic.json': Value('string'), 'calibration_pool_manifest.json': Value('string'), 'calibration_pool_manifest_attempt1_void.json': Value('string'), 'form_judge_calibration_applied_manifest.json': Value('string'), 'graded_manifest.json': Value('string'), 'graded_manifest_attempt1_void.json': Value('string'), 'screen_counts.json': Value('string'), 'stability_diagnostic.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_judge_grades.py': Value('string'), 'axis_g_arithmetic.py': Value('string'), 'build_judge_pool.py': Value('string'), 'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'judge_prompt.md': Value('string'), 'screen_lib.py': Value('string'), 'screen_rows.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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form-judge-axis-g-rescore -- 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-form-judge-axis-g-rescore

Provenance

Experiment: experiments/form-judge-axis-g-rescore
Amendment: experiments/form-judge-axis-g-rescore/AMENDMENT.md
Repo commit SHA: 37eaa399bb4a7ce999e63d8b202d5c084f599fa6
Generated: 2026-08-28T00:14:32.990815+00:00
Pinned instrument config sha256:
- apply_judge_grades.py: 2c116e498e76f6530506f27c8034e0ab62b491472061099194e9463d457f712d
- axis_g_arithmetic.py: ee252321f6880748ffbfbd1f5596492c86b34c934282c0a66c873829401612e7
- build_judge_pool.py: fdcdb6f8675382ea554f1496d4ceed7e1dd681d0a013c14751d78fb92c1d9f73
- cell.yaml: 7da49c6d257a952e48cab879743109930c0fa3cb42e9e57766dcd33f0b501bb3
- gates.yaml: 26da0e53d143adb68940a66425d20e0e34035c5efc25ab58643cde3adfd0cdc2
- judge_prompt.md: e03cd7284f3582ef6257140b7e2a7e388d6eeadf7c63b50c88d907f0cb0d3c5d
- screen_lib.py: f4fc7dd625c1a6c7e0a94d863db3ff9fff28e9cf85cfedf48cceabb5639f8833
- screen_rows.py: 8f9aea75135f49c6df7681cf38545a74a1d0b6c365cd7a8838cabd3583e6d5bc

File inventory

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

axis_g_arithmetic.json: 1 file(s)
calibration_pool_manifest.json: 1 file(s)
calibration_pool_manifest_attempt1_void.json: 1 file(s)
form_judge_calibration_applied_manifest.json: 1 file(s)
graded_manifest.json: 1 file(s)
graded_manifest_attempt1_void.json: 1 file(s)
screen_counts.json: 1 file(s)
stability_diagnostic.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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