Datasets:

professorsynapse
/

eh-idk-switch-naming-confirmatory

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cell: string
feasibility: struct<coverage: struct<arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, (... 456 chars omitted)
  child 0, coverage: struct<arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, a_placebo_1: str (... 135 chars omitted)
      child 0, arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, a_placebo_1: string>
          child 0, a_baseline: string
          child 1, a_dose_0p5: string
          child 2, a_dose_1: string
          child 3, a_placebo_1: string
      child 1, arms_missing: list<item: null>
          child 0, item: null
      child 2, n_rows_by_arm: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
          child 0, a_baseline: int64
          child 1, a_dose_0p5: int64
          child 2, a_dose_1: int64
          child 3, a_placebo_1: int64
  child 1, n_clear_positive_candidates_total: int64
  child 2, n_core_candidates_total: int64
  child 3, per_arm_core_candidates: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
      child 0, a_baseline: int64
      child 1, a_dose_0p5: int64
      child 2, a_dose_1: int64
      child 3, a_placebo_1: int64
  child 4, per_arm_f4_clear_positive_candidates: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
      child 0, a_baseline: int64
      child 1, a_dose_0p5: int64
      child 2, a_dose_1: int64
      child 3, a_placebo_1: int64
...
t<n_core: int64, n_decoy_clear_positive: int64, opaque_ids: list<item: string>, pool_sha256: st (... 41 chars omitted)
      child 0, n_core: int64
      child 1, n_decoy_clear_positive: int64
      child 2, opaque_ids: list<item: string>
          child 0, item: string
      child 3, pool_sha256: string
      child 4, row_count: int64
      child 5, shard_id: string
license_gate_excluded: struct<>
instrument_config_sha256: struct<apply_judge_grades.py: string, axis_n1n2n3_arithmetic.py: string, build_judge_pool.py: string (... 333 chars omitted)
  child 0, apply_judge_grades.py: string
  child 1, axis_n1n2n3_arithmetic.py: string
  child 2, build_judge_pool.py: string
  child 3, cell.yaml: string
  child 4, detector_v2.py: string
  child 5, detector_v2_patterns.yaml: string
  child 6, gates.yaml: string
  child 7, gen_lib.py: string
  child 8, grader.py: string
  child 9, judge_prompt.md: string
  child 10, materialize_rows.py: string
  child 11, pipeline.py: string
  child 12, render.py: string
  child 13, screen_lib.py: string
  child 14, stats_lib.py: string
  child 15, steer_lib.py: string
  child 16, test_idk_switch_smoke.py: string
excluded: list<item: null>
  child 0, item: null
sources_present: struct<>
shape: string
generation_date: string
experiment_slug: string
repo_commit_sha: string
files: struct<full_pool_manifest.json: string, graded_manifest.json: string>
  child 0, full_pool_manifest.json: string
  child 1, graded_manifest.json: string
amendment_path: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'full_pool_manifest.json': Value('string'), 'graded_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_judge_grades.py': Value('string'), 'axis_n1n2n3_arithmetic.py': Value('string'), 'build_judge_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'judge_prompt.md': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'screen_lib.py': Value('string'), 'stats_lib.py': Value('string'), 'steer_lib.py': Value('string'), 'test_idk_switch_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
              cell: string
              feasibility: struct<coverage: struct<arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, (... 456 chars omitted)
                child 0, coverage: struct<arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, a_placebo_1: str (... 135 chars omitted)
                    child 0, arms_found: struct<a_baseline: string, a_dose_0p5: string, a_dose_1: string, a_placebo_1: string>
                        child 0, a_baseline: string
                        child 1, a_dose_0p5: string
                        child 2, a_dose_1: string
                        child 3, a_placebo_1: string
                    child 1, arms_missing: list<item: null>
                        child 0, item: null
                    child 2, n_rows_by_arm: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
                        child 0, a_baseline: int64
                        child 1, a_dose_0p5: int64
                        child 2, a_dose_1: int64
                        child 3, a_placebo_1: int64
                child 1, n_clear_positive_candidates_total: int64
                child 2, n_core_candidates_total: int64
                child 3, per_arm_core_candidates: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
                    child 0, a_baseline: int64
                    child 1, a_dose_0p5: int64
                    child 2, a_dose_1: int64
                    child 3, a_placebo_1: int64
                child 4, per_arm_f4_clear_positive_candidates: struct<a_baseline: int64, a_dose_0p5: int64, a_dose_1: int64, a_placebo_1: int64>
                    child 0, a_baseline: int64
                    child 1, a_dose_0p5: int64
                    child 2, a_dose_1: int64
                    child 3, a_placebo_1: int64
              ...
              t<n_core: int64, n_decoy_clear_positive: int64, opaque_ids: list<item: string>, pool_sha256: st (... 41 chars omitted)
                    child 0, n_core: int64
                    child 1, n_decoy_clear_positive: int64
                    child 2, opaque_ids: list<item: string>
                        child 0, item: string
                    child 3, pool_sha256: string
                    child 4, row_count: int64
                    child 5, shard_id: string
              license_gate_excluded: struct<>
              instrument_config_sha256: struct<apply_judge_grades.py: string, axis_n1n2n3_arithmetic.py: string, build_judge_pool.py: string (... 333 chars omitted)
                child 0, apply_judge_grades.py: string
                child 1, axis_n1n2n3_arithmetic.py: string
                child 2, build_judge_pool.py: string
                child 3, cell.yaml: string
                child 4, detector_v2.py: string
                child 5, detector_v2_patterns.yaml: string
                child 6, gates.yaml: string
                child 7, gen_lib.py: string
                child 8, grader.py: string
                child 9, judge_prompt.md: string
                child 10, materialize_rows.py: string
                child 11, pipeline.py: string
                child 12, render.py: string
                child 13, screen_lib.py: string
                child 14, stats_lib.py: string
                child 15, steer_lib.py: string
                child 16, test_idk_switch_smoke.py: string
              excluded: list<item: null>
                child 0, item: null
              sources_present: struct<>
              shape: string
              generation_date: string
              experiment_slug: string
              repo_commit_sha: string
              files: struct<full_pool_manifest.json: string, graded_manifest.json: string>
                child 0, full_pool_manifest.json: string
                child 1, graded_manifest.json: string
              amendment_path: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'full_pool_manifest.json': Value('string'), 'graded_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_judge_grades.py': Value('string'), 'axis_n1n2n3_arithmetic.py': Value('string'), 'build_judge_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'judge_prompt.md': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'screen_lib.py': Value('string'), 'stats_lib.py': Value('string'), 'steer_lib.py': Value('string'), 'test_idk_switch_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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idk-switch-naming-confirmatory -- 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-idk-switch-naming-confirmatory

Provenance

Experiment: experiments/idk-switch-naming-confirmatory
Amendment: experiments/idk-switch-naming-confirmatory/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:29.173877+00:00
Pinned instrument config sha256:
- apply_judge_grades.py: 1dcf744678aeb63c714e945172803f516ba7aa2e31d4b42c8d035ed1c5ca4bbb
- axis_n1n2n3_arithmetic.py: 9040e008c734d694e7a46265f6b7116672c3472c1994a02e305aaf538e86e1d7
- build_judge_pool.py: 51c3e55cd0ee9e0ce923f04e1914169f110a93db973475ebac38e659491574c9
- cell.yaml: db49e6d462a18ab064ea48e2674fea61c4da5d12c2f01e372a2cca19f67e8112
- detector_v2.py: f0452b3a366cce2e54ba8af9d48bf31beae3f118933ebe4bdb8ef0632643c6f7
- detector_v2_patterns.yaml: e81a2f33cc986bf8b1e5b198b2c5026f7b713249298a422fdb6b604e299a7d69
- gates.yaml: e5139ed134b89811496c3328081d395005b2661592f78749b9873650d1153221
- gen_lib.py: e12fc49666bb1fc1da2787d7d381e2fcd5a6c08a34e337b20e9ba3cd396e68ab
- grader.py: 86978b6a532cff055dc3b4559019f08ea5bf311e66a35588c8db32d07d87d66d
- judge_prompt.md: e507a3a9bed677cb28edd6a2924538ca5753eac8bac7e247c916759293179aa2
- materialize_rows.py: 269fa2535c2f8bbd67e5fafe8fadf179554f0e7749aa4b7383e4297bfe4d8171
- pipeline.py: 211e6f23e8f5e8af0453efaba1fc1abb7a8e987f886f036739c9a65f1b7c15ec
- render.py: cc41ce522d36d008b0d9953ecc63875fcd85c0995cdad182b7aa30f7a0665544
- screen_lib.py: 8d87bff75cbb8405e2d84bfc9fd9aafd996ddebe8b1c4d1917281396edcbc62b
- stats_lib.py: 2c08552212cebb068739a5378bdc0cc72a2518332f6fa3ce172e48b6f97a8b55
- steer_lib.py: 9eb68e988e861127a541ec8b5a6059c7c5d5c8ad60864b5adbed4518566231c0
- test_idk_switch_smoke.py: dfee4882a3721e2ce54d267bb973e5cd8cf563b446745032ef2cceacf62893bb

File inventory

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

full_pool_manifest.json: 1 file(s)
graded_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.

Downloads last month: 9

Total file size:

53.2 kB