Datasets:

professorsynapse
/

eh-dial-logprob-baseline-v2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
arm: string
lp_g0: struct<dial_repro_ok: bool, dial_refit_auroc: double, dial_signed_auroc: double, row_count_ok: bool, (... 76 chars omitted)
  child 0, dial_repro_ok: bool
  child 1, dial_refit_auroc: double
  child 2, dial_signed_auroc: double
  child 3, row_count_ok: bool
  child 4, n_rows: int64
  child 5, n_rows_expected: int64
  child 6, n_roundtrip_fail: int64
  child 7, pass: bool
variant_aurocs: struct<mean_answer_span: struct<auroc: double, n: int64>, sum_answer_span: struct<auroc: double, n:  (... 57 chars omitted)
  child 0, mean_answer_span: struct<auroc: double, n: int64>
      child 0, auroc: double
      child 1, n: int64
  child 1, sum_answer_span: struct<auroc: double, n: int64>
      child 0, auroc: double
      child 1, n: int64
  child 2, min_answer_span: struct<auroc: double, n: int64>
      child 0, auroc: double
      child 1, n: int64
dial_minus_primary_logprob_margin: double
margin_bootstrap_ci: struct<n_boot_effective: int64, ci_lo: double, ci_hi: double, mean: double>
  child 0, n_boot_effective: int64
  child 1, ci_lo: double
  child 2, ci_hi: double
  child 3, mean: double
gate_verdict: struct<stopped_at_lp_g0: bool>
  child 0, stopped_at_lp_g0: bool
sources_present: struct<>
instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string, lp_v2_harness.py: string>
  child 0, cell.yaml: string
  child 1, gates.yaml: string
  child 2, lp_v2_harness.py: string
amendment_path: string
experiment_slug: string
repo_commit_sha: string
files: struct<lp_v2_s_base_primary_result.json: string, lp_v2_t_deployed_descriptive_result.json: string>
  child 0, lp_v2_s_base_primary_result.json: string
  child 1, lp_v2_t_deployed_descriptive_result.json: string
generation_date: string
excluded: list<item: null>
  child 0, item: null
shape: string
license_gate_excluded: struct<>
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'lp_v2_s_base_primary_result.json': Value('string'), 'lp_v2_t_deployed_descriptive_result.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'lp_v2_harness.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
              arm: string
              lp_g0: struct<dial_repro_ok: bool, dial_refit_auroc: double, dial_signed_auroc: double, row_count_ok: bool, (... 76 chars omitted)
                child 0, dial_repro_ok: bool
                child 1, dial_refit_auroc: double
                child 2, dial_signed_auroc: double
                child 3, row_count_ok: bool
                child 4, n_rows: int64
                child 5, n_rows_expected: int64
                child 6, n_roundtrip_fail: int64
                child 7, pass: bool
              variant_aurocs: struct<mean_answer_span: struct<auroc: double, n: int64>, sum_answer_span: struct<auroc: double, n:  (... 57 chars omitted)
                child 0, mean_answer_span: struct<auroc: double, n: int64>
                    child 0, auroc: double
                    child 1, n: int64
                child 1, sum_answer_span: struct<auroc: double, n: int64>
                    child 0, auroc: double
                    child 1, n: int64
                child 2, min_answer_span: struct<auroc: double, n: int64>
                    child 0, auroc: double
                    child 1, n: int64
              dial_minus_primary_logprob_margin: double
              margin_bootstrap_ci: struct<n_boot_effective: int64, ci_lo: double, ci_hi: double, mean: double>
                child 0, n_boot_effective: int64
                child 1, ci_lo: double
                child 2, ci_hi: double
                child 3, mean: double
              gate_verdict: struct<stopped_at_lp_g0: bool>
                child 0, stopped_at_lp_g0: bool
              sources_present: struct<>
              instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string, lp_v2_harness.py: string>
                child 0, cell.yaml: string
                child 1, gates.yaml: string
                child 2, lp_v2_harness.py: string
              amendment_path: string
              experiment_slug: string
              repo_commit_sha: string
              files: struct<lp_v2_s_base_primary_result.json: string, lp_v2_t_deployed_descriptive_result.json: string>
                child 0, lp_v2_s_base_primary_result.json: string
                child 1, lp_v2_t_deployed_descriptive_result.json: string
              generation_date: string
              excluded: list<item: null>
                child 0, item: null
              shape: string
              license_gate_excluded: struct<>
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'lp_v2_s_base_primary_result.json': Value('string'), 'lp_v2_t_deployed_descriptive_result.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'gates.yaml': Value('string'), 'lp_v2_harness.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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dial-logprob-baseline-v2 -- 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-dial-logprob-baseline-v2

Provenance

Experiment: experiments/dial-logprob-baseline-v2
Amendment: experiments/dial-logprob-baseline-v2/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:28.983782+00:00
Pinned instrument config sha256:
- cell.yaml: 8d79ebd219f684cf6ec20fe444a675149876a56212b7c8f862abeff7985d37ae
- gates.yaml: 3809e6186fdde96d9eadebdc28d36cc3d9d3ee199e7fc3cac7ad445e0fd4a4d0
- lp_v2_harness.py: 401fa6a616a14f2642de065f5b6e9708decce55a4351d5456cbba3454fe14d24

File inventory

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

lp_v2_s_base_primary_result.json: 1 file(s)
lp_v2_t_deployed_descriptive_result.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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