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Datasets:
professorsynapse
/
eh-qwen35-4b-midband-doubt-snap

Tasks:
Text Classification
Languages:
English
Tags:
epistemic-humility
mechanistic-interpretability
data-exhaust
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
base_model: string
revision: string
hidden_dim: int64
seed: int64
reproducibility_verified: bool
anchor_manifest_sha256: string
fit_rows_sha256: string
layers: struct<hs20: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_u (... 1606 chars omitted)
  child 0, hs20: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_unknown_refuse (... 317 chars omitted)
      child 0, hs_index: int64
      child 1, hidden_dim: int64
      child 2, n_known_fit: int64
      child 3, n_confab_fit: int64
      child 4, n_unknown_refused: int64
      child 5, mu_d: double
      child 6, sigma_d: double
      child 7, mu_c: double
      child 8, sigma_c: double
      child 9, cos_u_d_u_p: double
      child 10, cos_caution_c_hat: double
      child 11, auc_neg_z_d_on_fit: double
      child 12, tau_frozen: double
      child 13, youden_tau_stats: struct<tpr_confab_caught: double, fpr_known_correct_flagged: double, tp: int64, fn: int64, fp: int64 (... 30 chars omitted)
          child 0, tpr_confab_caught: double
          child 1, fpr_known_correct_flagged: double
          child 2, tp: int64
          child 3, fn: int64
          child 4, fp: int64
          child 5, tn: int64
          child 6, youden_j: double
  child 1, hs23: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_unknown_refuse (... 317 chars omitted)
      child 0, hs_index: int64
      child 1, hidden_dim: int64
      child 
...
ing, fit_midband_directions.py: string, gates.yaml: string, gen_lib.py: string, (... 108 chars omitted)
  child 0, cell.yaml: string
  child 1, fit_midband_directions.py: string
  child 2, gates.yaml: string
  child 3, gen_lib.py: string
  child 4, grader.py: string
  child 5, jlens_qwen35.py: string
  child 6, materialize_reused_rows.py: string
  child 7, run_dose_ladder.py: string
repo_commit_sha: string
files: struct<build_manifest.json: string, directions/hs20/c_hat.json: string, directions/hs20/random_direc (... 507 chars omitted)
  child 0, build_manifest.json: string
  child 1, directions/hs20/c_hat.json: string
  child 2, directions/hs20/random_direction.json: string
  child 3, directions/hs20/u_d.json: string
  child 4, directions/hs23/c_hat.json: string
  child 5, directions/hs23/random_direction.json: string
  child 6, directions/hs23/u_d.json: string
  child 7, directions/hs26/c_hat.json: string
  child 8, directions/hs26/random_direction.json: string
  child 9, directions/hs26/u_d.json: string
  child 10, directions/hs30/c_hat.json: string
  child 11, directions/hs30/random_direction.json: string
  child 12, directions/hs30/u_d.json: string
  child 13, dose_ladder_full_summary.json: string
  child 14, profile_summary.json: string
  child 15, reused_rows_manifest.json: string
sources_present: struct<>
amendment_path: string
excluded: list<item: null>
  child 0, item: null
shape: string
experiment_slug: string
license_gate_excluded: struct<>
generation_date: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'build_manifest.json': Value('string'), 'directions/hs20/c_hat.json': Value('string'), 'directions/hs20/random_direction.json': Value('string'), 'directions/hs20/u_d.json': Value('string'), 'directions/hs23/c_hat.json': Value('string'), 'directions/hs23/random_direction.json': Value('string'), 'directions/hs23/u_d.json': Value('string'), 'directions/hs26/c_hat.json': Value('string'), 'directions/hs26/random_direction.json': Value('string'), 'directions/hs26/u_d.json': Value('string'), 'directions/hs30/c_hat.json': Value('string'), 'directions/hs30/random_direction.json': Value('string'), 'directions/hs30/u_d.json': Value('string'), 'dose_ladder_full_summary.json': Value('string'), 'profile_summary.json': Value('string'), 'reused_rows_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'fit_midband_directions.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'jlens_qwen35.py': Value('string'), 'materialize_reused_rows.py': Value('string'), 'run_dose_ladder.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
              base_model: string
              revision: string
              hidden_dim: int64
              seed: int64
              reproducibility_verified: bool
              anchor_manifest_sha256: string
              fit_rows_sha256: string
              layers: struct<hs20: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_u (... 1606 chars omitted)
                child 0, hs20: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_unknown_refuse (... 317 chars omitted)
                    child 0, hs_index: int64
                    child 1, hidden_dim: int64
                    child 2, n_known_fit: int64
                    child 3, n_confab_fit: int64
                    child 4, n_unknown_refused: int64
                    child 5, mu_d: double
                    child 6, sigma_d: double
                    child 7, mu_c: double
                    child 8, sigma_c: double
                    child 9, cos_u_d_u_p: double
                    child 10, cos_caution_c_hat: double
                    child 11, auc_neg_z_d_on_fit: double
                    child 12, tau_frozen: double
                    child 13, youden_tau_stats: struct<tpr_confab_caught: double, fpr_known_correct_flagged: double, tp: int64, fn: int64, fp: int64 (... 30 chars omitted)
                        child 0, tpr_confab_caught: double
                        child 1, fpr_known_correct_flagged: double
                        child 2, tp: int64
                        child 3, fn: int64
                        child 4, fp: int64
                        child 5, tn: int64
                        child 6, youden_j: double
                child 1, hs23: struct<hs_index: int64, hidden_dim: int64, n_known_fit: int64, n_confab_fit: int64, n_unknown_refuse (... 317 chars omitted)
                    child 0, hs_index: int64
                    child 1, hidden_dim: int64
                    child 
              ...
              ing, fit_midband_directions.py: string, gates.yaml: string, gen_lib.py: string, (... 108 chars omitted)
                child 0, cell.yaml: string
                child 1, fit_midband_directions.py: string
                child 2, gates.yaml: string
                child 3, gen_lib.py: string
                child 4, grader.py: string
                child 5, jlens_qwen35.py: string
                child 6, materialize_reused_rows.py: string
                child 7, run_dose_ladder.py: string
              repo_commit_sha: string
              files: struct<build_manifest.json: string, directions/hs20/c_hat.json: string, directions/hs20/random_direc (... 507 chars omitted)
                child 0, build_manifest.json: string
                child 1, directions/hs20/c_hat.json: string
                child 2, directions/hs20/random_direction.json: string
                child 3, directions/hs20/u_d.json: string
                child 4, directions/hs23/c_hat.json: string
                child 5, directions/hs23/random_direction.json: string
                child 6, directions/hs23/u_d.json: string
                child 7, directions/hs26/c_hat.json: string
                child 8, directions/hs26/random_direction.json: string
                child 9, directions/hs26/u_d.json: string
                child 10, directions/hs30/c_hat.json: string
                child 11, directions/hs30/random_direction.json: string
                child 12, directions/hs30/u_d.json: string
                child 13, dose_ladder_full_summary.json: string
                child 14, profile_summary.json: string
                child 15, reused_rows_manifest.json: string
              sources_present: struct<>
              amendment_path: string
              excluded: list<item: null>
                child 0, item: null
              shape: string
              experiment_slug: string
              license_gate_excluded: struct<>
              generation_date: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'build_manifest.json': Value('string'), 'directions/hs20/c_hat.json': Value('string'), 'directions/hs20/random_direction.json': Value('string'), 'directions/hs20/u_d.json': Value('string'), 'directions/hs23/c_hat.json': Value('string'), 'directions/hs23/random_direction.json': Value('string'), 'directions/hs23/u_d.json': Value('string'), 'directions/hs26/c_hat.json': Value('string'), 'directions/hs26/random_direction.json': Value('string'), 'directions/hs26/u_d.json': Value('string'), 'directions/hs30/c_hat.json': Value('string'), 'directions/hs30/random_direction.json': Value('string'), 'directions/hs30/u_d.json': Value('string'), 'dose_ladder_full_summary.json': Value('string'), 'profile_summary.json': Value('string'), 'reused_rows_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'fit_midband_directions.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'jlens_qwen35.py': Value('string'), 'materialize_reused_rows.py': Value('string'), 'run_dose_ladder.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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qwen35-4b-midband-doubt-snap -- 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-qwen35-4b-midband-doubt-snap

Provenance

  • Experiment: experiments/qwen35-4b-midband-doubt-snap
  • Amendment: experiments/qwen35-4b-midband-doubt-snap/AMENDMENT.md
  • Repo commit SHA: b642b7c60968c72659f84478a0f4c433507fe8be
  • Generated: 2026-08-27T19:55:04.652241+00:00
  • Pinned instrument config sha256:
    • cell.yaml: b0f2cc3e8322db2c32b6712e5a12d33c827e0247eaa85ab238cb0fd07ca686bb
    • fit_midband_directions.py: a25ebbd343ad64c0f6af77eea1085b438fcb975599804f0149254fd1c1f1c912
    • gates.yaml: c27fdd99c111fc3840d9abd7791a6f555c71645e15115ba6c76718c4c7cec762
    • gen_lib.py: 4b2796318c94e35aa878c1f82716c9d7776d6cc7b4e40af5f16f5b3c36d44089
    • grader.py: 72254c1c391ec8107062d846eb1def721f52122c066534b8678790bea161789e
    • jlens_qwen35.py: 028c71871fe38a770db3a3eac877a074dd86786200cc2ed0715d6b2ac4298039
    • materialize_reused_rows.py: 57be9a4e975b9a991544ca0fba32670a5c276ed084c58f329c41c8fc471a6b24
    • run_dose_ladder.py: 3495ed6a9169b5ba6af742f44ba17cef30059723c20c6a49dc11331fe5458bff

File inventory

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

  • build_manifest.json: 1 file(s)
  • directions: 12 file(s)
  • dose_ladder_full_summary.json: 1 file(s)
  • profile_summary.json: 1 file(s)
  • reused_rows_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.
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