Datasets:

professorsynapse
/

eh-qualify-mode-separability-base-readout

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cell_sha256_note: string
n_fit_rows: int64
n_dev_rows: int64
depths: list<item: int64>
  child 0, item: int64
per_depth: struct<depth_9: struct<a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: dou (... 6685 chars omitted)
  child 0, depth_9: struct<a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: double, pearson_p:  (... 1583 chars omitted)
      child 0, a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: double, pearson_p: double, predicted_k_dev (... 812 chars omitted)
          child 0, spearman_r: double
          child 1, spearman_p: double
          child 2, pearson_r: double
          child 3, pearson_p: double
          child 4, predicted_k_dev_sd: double
          child 5, qualify_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
              child 0, point: double
              child 1, ci_lower: double
              child 2, ci_upper: double
              child 3, n_valid_resamples: int64
          child 6, abstain_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
              child 0, point: double
              child 1, ci_lower: double
              child 2, ci_upper: double
              child 3, n_valid_resamples: int64
          child 7, answer_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
              child 0, point: double
           
...
3, divergence_from_primary: double
  child 4, divergence_flag: bool
naive_floor: struct<best_depth: int64, max_over_depths_auroc: struct<point: double, ci_lower: double, ci_upper: d (... 57 chars omitted)
  child 0, best_depth: int64
  child 1, max_over_depths_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
      child 0, point: double
      child 1, ci_lower: double
      child 2, ci_upper: double
      child 3, n_valid_resamples: int64
  child 2, gap_vs_primary: double
determinism_check: struct<cosine: double, maxabs_diff: double, pass: bool>
  child 0, cosine: double
  child 1, maxabs_diff: double
  child 2, pass: bool
mechanical_checks: struct<predicted_k_dev_sd_ok: bool, no_nan_ok: bool, extraction_complete: bool>
  child 0, predicted_k_dev_sd_ok: bool
  child 1, no_nan_ok: bool
  child 2, extraction_complete: bool
shape: string
experiment_slug: string
instrument_config_sha256: struct<cell.yaml: string, extract_hidden_states.py: string, fit_readouts.py: string, gates.yaml: str (... 42 chars omitted)
  child 0, cell.yaml: string
  child 1, extract_hidden_states.py: string
  child 2, fit_readouts.py: string
  child 3, gates.yaml: string
  child 4, test_qualify_separability.py: string
license_gate_excluded: struct<>
generation_date: string
amendment_path: string
excluded: list<item: null>
  child 0, item: null
sources_present: struct<>
repo_commit_sha: string
files: struct<fit_report.json: string>
  child 0, fit_report.json: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_report.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'extract_hidden_states.py': Value('string'), 'fit_readouts.py': Value('string'), 'gates.yaml': Value('string'), 'test_qualify_separability.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_sha256_note: string
              n_fit_rows: int64
              n_dev_rows: int64
              depths: list<item: int64>
                child 0, item: int64
              per_depth: struct<depth_9: struct<a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: dou (... 6685 chars omitted)
                child 0, depth_9: struct<a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: double, pearson_p:  (... 1583 chars omitted)
                    child 0, a_k_regression: struct<spearman_r: double, spearman_p: double, pearson_r: double, pearson_p: double, predicted_k_dev (... 812 chars omitted)
                        child 0, spearman_r: double
                        child 1, spearman_p: double
                        child 2, pearson_r: double
                        child 3, pearson_p: double
                        child 4, predicted_k_dev_sd: double
                        child 5, qualify_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
                            child 0, point: double
                            child 1, ci_lower: double
                            child 2, ci_upper: double
                            child 3, n_valid_resamples: int64
                        child 6, abstain_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
                            child 0, point: double
                            child 1, ci_lower: double
                            child 2, ci_upper: double
                            child 3, n_valid_resamples: int64
                        child 7, answer_vs_rest_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
                            child 0, point: double
                         
              ...
              3, divergence_from_primary: double
                child 4, divergence_flag: bool
              naive_floor: struct<best_depth: int64, max_over_depths_auroc: struct<point: double, ci_lower: double, ci_upper: d (... 57 chars omitted)
                child 0, best_depth: int64
                child 1, max_over_depths_auroc: struct<point: double, ci_lower: double, ci_upper: double, n_valid_resamples: int64>
                    child 0, point: double
                    child 1, ci_lower: double
                    child 2, ci_upper: double
                    child 3, n_valid_resamples: int64
                child 2, gap_vs_primary: double
              determinism_check: struct<cosine: double, maxabs_diff: double, pass: bool>
                child 0, cosine: double
                child 1, maxabs_diff: double
                child 2, pass: bool
              mechanical_checks: struct<predicted_k_dev_sd_ok: bool, no_nan_ok: bool, extraction_complete: bool>
                child 0, predicted_k_dev_sd_ok: bool
                child 1, no_nan_ok: bool
                child 2, extraction_complete: bool
              shape: string
              experiment_slug: string
              instrument_config_sha256: struct<cell.yaml: string, extract_hidden_states.py: string, fit_readouts.py: string, gates.yaml: str (... 42 chars omitted)
                child 0, cell.yaml: string
                child 1, extract_hidden_states.py: string
                child 2, fit_readouts.py: string
                child 3, gates.yaml: string
                child 4, test_qualify_separability.py: string
              license_gate_excluded: struct<>
              generation_date: string
              amendment_path: string
              excluded: list<item: null>
                child 0, item: null
              sources_present: struct<>
              repo_commit_sha: string
              files: struct<fit_report.json: string>
                child 0, fit_report.json: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_report.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'extract_hidden_states.py': Value('string'), 'fit_readouts.py': Value('string'), 'gates.yaml': Value('string'), 'test_qualify_separability.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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qualify-mode-separability-base-readout -- 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-qualify-mode-separability-base-readout

Provenance

Experiment: experiments/qualify-mode-separability-base-readout
Amendment: experiments/qualify-mode-separability-base-readout/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:30.339983+00:00
Pinned instrument config sha256:
- cell.yaml: 227a129d641dcf26d8f23bdfdbe223f9a119a1d9b6e662bb3c913f05f8725ca0
- extract_hidden_states.py: b0bfabf76a472d0066e3f5b90bd5d488947a8d3deaba90134b184871071c0b74
- fit_readouts.py: e835fd9c6009f3b51c204f831173ce6f8fa93bf3962f43661b6f595aaf2925b8
- gates.yaml: ad4629db1cc7d860ea2d06c81ce9cafa8cd25462372f91b93222fc00adba3104
- test_qualify_separability.py: 469d8c293dca5a705b9342237f6640c5b4d75cfb4b6fd298f6fb6ed2c2b9eec3

File inventory

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

fit_report.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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