Datasets:

professorsynapse
/

eh-refusal-axis-ablation-confirmatory

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
analysis: struct<analysis_type: string, arms: list<item: string>, by_arm: struct<ablate: struct<known_correct_ (... 742 chars omitted)
  child 0, analysis_type: string
  child 1, arms: list<item: string>
      child 0, item: string
  child 2, by_arm: struct<ablate: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: d (... 635 chars omitted)
      child 0, ablate: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>, known_r (... 69 chars omitted)
          child 0, known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>
              child 0, correct_rate: double
              child 1, n: int64
              child 2, refusal_rate: double
          child 1, known_refused: struct<correct_rate: double, n: int64, refusal_rate: double>
              child 0, correct_rate: double
              child 1, n: int64
              child 2, refusal_rate: double
      child 1, baseline: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>, known_r (... 69 chars omitted)
          child 0, known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>
              child 0, correct_rate: double
              child 1, n: int64
              child 2, refusal_rate: double
          child 1, known_refused: struct<correct_rate: double, n: int64, refusal_rate: double>
              child 0, correct_rate: double
              child 1, n: 
...
sed: struct<correct_rate: double, n: int64, refusal_rate: double>
              child 0, correct_rate: double
              child 1, n: int64
              child 2, refusal_rate: double
  child 3, n_rows: int64
  child 4, ok: bool
  child 5, verdict: string
analysis_type: string
arms: list<item: string>
  child 0, item: string
caution_direction: string
config: string
direction_layer: int64
fingerprint: string
max_new_tokens: int64
notice: string
ok: bool
row_count: int64
rows: string
rows_filter: struct<cells: list<item: string>>
  child 0, cells: list<item: string>
      child 0, item: string
total_units: int64
units_generated: int64
units_resumed: int64
experiment_slug: string
amendment_path: string
files: struct<intervention_summary_seed2.json: string>
  child 0, intervention_summary_seed2.json: string
instrument_config_sha256: struct<RUNBOOK.md: string, cell.yaml: string, configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py (... 210 chars omitted)
  child 0, RUNBOOK.md: string
  child 1, cell.yaml: string
  child 2, configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py: string
  child 3, configs/extraction_hidden_state_selfaware_manifest_clean_sft_grpo_v2_seed2_full.yaml: string
  child 4, configs/phase3_current_clean_grpo_v2_caution_residual_intervention_seed2.yaml: string
  child 5, gates.yaml: string
shape: string
repo_commit_sha: string
license_gate_excluded: struct<>
generation_date: string
sources_present: struct<>
excluded: list<item: null>
  child 0, item: null
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'intervention_summary_seed2.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'RUNBOOK.md': Value('string'), 'cell.yaml': Value('string'), 'configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py': Value('string'), 'configs/extraction_hidden_state_selfaware_manifest_clean_sft_grpo_v2_seed2_full.yaml': Value('string'), 'configs/phase3_current_clean_grpo_v2_caution_residual_intervention_seed2.yaml': Value('string'), 'gates.yaml': 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
              analysis: struct<analysis_type: string, arms: list<item: string>, by_arm: struct<ablate: struct<known_correct_ (... 742 chars omitted)
                child 0, analysis_type: string
                child 1, arms: list<item: string>
                    child 0, item: string
                child 2, by_arm: struct<ablate: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: d (... 635 chars omitted)
                    child 0, ablate: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>, known_r (... 69 chars omitted)
                        child 0, known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>
                            child 0, correct_rate: double
                            child 1, n: int64
                            child 2, refusal_rate: double
                        child 1, known_refused: struct<correct_rate: double, n: int64, refusal_rate: double>
                            child 0, correct_rate: double
                            child 1, n: int64
                            child 2, refusal_rate: double
                    child 1, baseline: struct<known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>, known_r (... 69 chars omitted)
                        child 0, known_correct_answered: struct<correct_rate: double, n: int64, refusal_rate: double>
                            child 0, correct_rate: double
                            child 1, n: int64
                            child 2, refusal_rate: double
                        child 1, known_refused: struct<correct_rate: double, n: int64, refusal_rate: double>
                            child 0, correct_rate: double
                            child 1, n: 
              ...
              sed: struct<correct_rate: double, n: int64, refusal_rate: double>
                            child 0, correct_rate: double
                            child 1, n: int64
                            child 2, refusal_rate: double
                child 3, n_rows: int64
                child 4, ok: bool
                child 5, verdict: string
              analysis_type: string
              arms: list<item: string>
                child 0, item: string
              caution_direction: string
              config: string
              direction_layer: int64
              fingerprint: string
              max_new_tokens: int64
              notice: string
              ok: bool
              row_count: int64
              rows: string
              rows_filter: struct<cells: list<item: string>>
                child 0, cells: list<item: string>
                    child 0, item: string
              total_units: int64
              units_generated: int64
              units_resumed: int64
              experiment_slug: string
              amendment_path: string
              files: struct<intervention_summary_seed2.json: string>
                child 0, intervention_summary_seed2.json: string
              instrument_config_sha256: struct<RUNBOOK.md: string, cell.yaml: string, configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py (... 210 chars omitted)
                child 0, RUNBOOK.md: string
                child 1, cell.yaml: string
                child 2, configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py: string
                child 3, configs/extraction_hidden_state_selfaware_manifest_clean_sft_grpo_v2_seed2_full.yaml: string
                child 4, configs/phase3_current_clean_grpo_v2_caution_residual_intervention_seed2.yaml: string
                child 5, gates.yaml: string
              shape: string
              repo_commit_sha: string
              license_gate_excluded: struct<>
              generation_date: string
              sources_present: struct<>
              excluded: list<item: null>
                child 0, item: null
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'intervention_summary_seed2.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'RUNBOOK.md': Value('string'), 'cell.yaml': Value('string'), 'configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py': Value('string'), 'configs/extraction_hidden_state_selfaware_manifest_clean_sft_grpo_v2_seed2_full.yaml': Value('string'), 'configs/phase3_current_clean_grpo_v2_caution_residual_intervention_seed2.yaml': Value('string'), 'gates.yaml': 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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refusal-axis-ablation-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-refusal-axis-ablation-confirmatory

Provenance

Experiment: experiments/refusal-axis-ablation-confirmatory
Amendment: experiments/refusal-axis-ablation-confirmatory/AMENDMENT.md
Repo commit SHA: 7e3ded78a3c6aa0248b14ec055e2c2733a4d6472
Generated: 2026-08-17T13:54:09.344684+00:00
Pinned instrument config sha256:
- RUNBOOK.md: 47cbc58c0cc403c755e719f0df5007b6336021e02a217faa37b9241f55d65256
- cell.yaml: 0e70597c52351329cbc86b617435f465d0c99de078b8a12df75feab920da8a80
- configs/behavior_rows_build_clean_sft_grpo_v2_seed2.py: 6da77fe199cdf849acb30bbe2865fc06af2b62bf238c80fa1406fc465139524d
- configs/extraction_hidden_state_selfaware_manifest_clean_sft_grpo_v2_seed2_full.yaml: 6dd625fd3edb7eb7f962c3481283fefeac9546c1e8114a946f898aa11abd4da7
- configs/phase3_current_clean_grpo_v2_caution_residual_intervention_seed2.yaml: fa2f5e289907ff237a47a35ede714e288e9a239d8bc6d4552d787be912ae079c
- gates.yaml: 0daf7aeb14d30f251d9aa739cefa1bfad8514dd6d787cee37c810b0a922bf7cf

File inventory

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

intervention_summary_seed2.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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Total file size:

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