Datasets:

professorsynapse
/

eh-ungated-vs-gated-dose-matched

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
amendment: string
resolved_reference: struct<gated_confab_clean_tighten: double, gated_known_correct_false_refuse: double>
  child 0, gated_confab_clean_tighten: double
  child 1, gated_known_correct_false_refuse: double
n_confab_held_out: int64
n_known_correct_answered_held_out: int64
dose_target: double
readback_check: struct<n_dosed_passes: int64, readback_mean: double, readback_min: double, readback_max: double, fra (... 40 chars omitted)
  child 0, n_dosed_passes: int64
  child 1, readback_mean: double
  child 2, readback_min: double
  child 3, readback_max: double
  child 4, frac_within_5pct_tol: double
  child 5, note: string
gates: struct<h4_g0_gate_on_reproduction: struct<name: string, gated_confab_clean_tighten: struct<n: int64, (... 1141 chars omitted)
  child 0, h4_g0_gate_on_reproduction: struct<name: string, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wi (... 253 chars omitted)
      child 0, name: string
      child 1, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: double
          child 3, wilson_ci_95: list<item: double>
              child 0, item: double
      child 2, gated_known_correct_false_refuse: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: dou
...
s: int64, rate: double,  (... 200 chars omitted)
      child 0, name: string
      child 1, ungated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: double
          child 3, wilson_ci_95: list<item: double>
              child 0, item: double
      child 2, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: double
          child 3, wilson_ci_95: list<item: double>
              child 0, item: double
      child 3, difference_gated_minus_ungated: double
      child 4, passed: bool
experiment_slug: string
instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string, gen_lib.py: string, grader.py: string, materialize_row (... 78 chars omitted)
  child 0, cell.yaml: string
  child 1, gates.yaml: string
  child 2, gen_lib.py: string
  child 3, grader.py: string
  child 4, materialize_rows.py: string
  child 5, model_lib.py: string
  child 6, pipeline.py: string
  child 7, smoke_cpu.py: string
shape: string
license_gate_excluded: struct<>
excluded: list<item: null>
  child 0, item: null
amendment_path: string
repo_commit_sha: string
sources_present: struct<>
generation_date: string
files: struct<ungated_vs_gated_summary.json: string>
  child 0, ungated_vs_gated_summary.json: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'ungated_vs_gated_summary.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'materialize_rows.py': Value('string'), 'model_lib.py': Value('string'), 'pipeline.py': Value('string'), 'smoke_cpu.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
              amendment: string
              resolved_reference: struct<gated_confab_clean_tighten: double, gated_known_correct_false_refuse: double>
                child 0, gated_confab_clean_tighten: double
                child 1, gated_known_correct_false_refuse: double
              n_confab_held_out: int64
              n_known_correct_answered_held_out: int64
              dose_target: double
              readback_check: struct<n_dosed_passes: int64, readback_mean: double, readback_min: double, readback_max: double, fra (... 40 chars omitted)
                child 0, n_dosed_passes: int64
                child 1, readback_mean: double
                child 2, readback_min: double
                child 3, readback_max: double
                child 4, frac_within_5pct_tol: double
                child 5, note: string
              gates: struct<h4_g0_gate_on_reproduction: struct<name: string, gated_confab_clean_tighten: struct<n: int64, (... 1141 chars omitted)
                child 0, h4_g0_gate_on_reproduction: struct<name: string, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wi (... 253 chars omitted)
                    child 0, name: string
                    child 1, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: double
                        child 3, wilson_ci_95: list<item: double>
                            child 0, item: double
                    child 2, gated_known_correct_false_refuse: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: dou
              ...
              s: int64, rate: double,  (... 200 chars omitted)
                    child 0, name: string
                    child 1, ungated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: double
                        child 3, wilson_ci_95: list<item: double>
                            child 0, item: double
                    child 2, gated_confab_clean_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: double
                        child 3, wilson_ci_95: list<item: double>
                            child 0, item: double
                    child 3, difference_gated_minus_ungated: double
                    child 4, passed: bool
              experiment_slug: string
              instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string, gen_lib.py: string, grader.py: string, materialize_row (... 78 chars omitted)
                child 0, cell.yaml: string
                child 1, gates.yaml: string
                child 2, gen_lib.py: string
                child 3, grader.py: string
                child 4, materialize_rows.py: string
                child 5, model_lib.py: string
                child 6, pipeline.py: string
                child 7, smoke_cpu.py: string
              shape: string
              license_gate_excluded: struct<>
              excluded: list<item: null>
                child 0, item: null
              amendment_path: string
              repo_commit_sha: string
              sources_present: struct<>
              generation_date: string
              files: struct<ungated_vs_gated_summary.json: string>
                child 0, ungated_vs_gated_summary.json: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'ungated_vs_gated_summary.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'materialize_rows.py': Value('string'), 'model_lib.py': Value('string'), 'pipeline.py': Value('string'), 'smoke_cpu.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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ungated-vs-gated-dose-matched -- 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-ungated-vs-gated-dose-matched

Provenance

Experiment: experiments/ungated-vs-gated-dose-matched
Amendment: experiments/ungated-vs-gated-dose-matched/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:30.620965+00:00
Pinned instrument config sha256:
- cell.yaml: 87880ae23f8c28db18eeaec8be6ade1c112f670b72ec9c5cc432048959f8322e
- gates.yaml: c97a8502a213ead723cbc77d3979eda1a86298b2a61b9e9e06efd8eab4aaad26
- gen_lib.py: 10bb9bc557a19f8fcb9406f1b9b885f76b7cfa65ed8f1c7a4b69dccbbdae9d6c
- grader.py: af89b535d08f5424d1981d6811b6cbef79e52b8142bf691b4ec52c1e9595a435
- materialize_rows.py: 5169f28e8b973e8ec3d045febcbbcc46673efb2c46b9352cf7fb541e0150477c
- model_lib.py: 23499373f76b6208a8ee07ee7a3321a81b93360df6c0fe18c8561de3d93e6d3c
- pipeline.py: e787d26d2876ce5f9040b8f0a0105b382e037896d6ddee7dad437680d4d44720
- smoke_cpu.py: 094cf641352e57952838a58754c47488e3b242be9d8707a50a6d379ec8a08287

File inventory

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

ungated_vs_gated_summary.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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