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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
family: string
substrate: string
base_model: string
site_set: string
hs_indices: list<item: int64>
  child 0, item: int64
kv_sharing: string
hidden_dim: int64
random_state: int64
reproducibility_verified: bool
extract_manifest_sha256: string
split_manifest_sha256: string
layers: struct<hs25: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64 (... 770 chars omitted)
  child 0, hs25: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64, n_confab_fi (... 180 chars omitted)
      child 0, hs_index: int64
      child 1, decoder_block_index: int64
      child 2, n_known_correct_answered_fit: int64
      child 3, n_confab_fit: int64
      child 4, n_unknown_refused: int64
      child 5, cos_u_d_u_p: double
      child 6, cos_caution_dir_c_hat: double
      child 7, mu_d: double
      child 8, sigma_d: double
      child 9, mu_p: double
      child 10, sigma_p: double
      child 11, mu_c: double
      child 12, sigma_c: double
  child 1, hs26: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64, n_confab_fi (... 180 chars omitted)
      child 0, hs_index: int64
      child 1, decoder_block_index: int64
      child 2, n_known_correct_answered_fit: int64
      child 3, n_confab_fit: int64
      child 4, n_unknown_refused: int64
      child 5, cos_u_d_u_p: double
      child 6, cos_caution_dir_c_hat: double
      child 7, mu_d: double
      child 8, sigma_d: double
      child 9,
...
d 14, gemma4-e4b/layers/hs27/source_directions/pos_ctrl_hs27.json: string
  child 15, gemma4-e4b/layers/hs27/u_d_hs27.json: string
  child 16, gemma4-e4b/placebo_draw_ledger.pocket.json: string
  child 17, gemma4-e4b/placebo_summary.hs25.pocket.json: string
  child 18, gemma4-e4b/pocket_rollup.json: string
  child 19, gemma4-e4b/split_manifest.json: string
  child 20, gemma4-e4b/undosed_summary.hs25.pocket.json: string
generation_date: string
amendment_path: string
instrument_config_sha256: struct<amendment_ah_stage0_extract.py: string, backends.py: string, build_directions.py: string, cal (... 407 chars omitted)
  child 0, amendment_ah_stage0_extract.py: string
  child 1, backends.py: string
  child 2, build_directions.py: string
  child 3, calibrate_dose.py: string
  child 4, cell.yaml: string
  child 5, families/gemma4-e4b.yaml: string
  child 6, family_config.py: string
  child 7, g2_companion.py: string
  child 8, gate_fit.py: string
  child 9, gates.yaml: string
  child 10, gen_lib.py: string
  child 11, grader.py: string
  child 12, kv_seam_patch.py: string
  child 13, kv_seam_preflight.py: string
  child 14, model_lib.py: string
  child 15, pipeline.py: string
  child 16, placebo_direction.py: string
  child 17, pocket_rollup.py: string
  child 18, run_contrast.py: string
  child 19, scorers.py: string
experiment_slug: string
sources_present: struct<>
repo_commit_sha: string
license_gate_excluded: struct<>
shape: string
excluded: list<item: null>
  child 0, item: null
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'gemma4-e4b/build_manifest_layers.pocket.json': Value('string'), 'gemma4-e4b/dose_calibration_summary.pocket.json': Value('string'), 'gemma4-e4b/full_summary.pocket.json': Value('string'), 'gemma4-e4b/gate_fit_layers.pocket.json': Value('string'), 'gemma4-e4b/layers/hs25/c_hat_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/source_directions/neg_ctrl_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/source_directions/pos_ctrl_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/u_d_hs25.json': Value('string'), 'gemma4-e4b/layers/hs26/c_hat_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/source_directions/neg_ctrl_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/source_directions/pos_ctrl_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/u_d_hs26.json': Value('string'), 'gemma4-e4b/layers/hs27/c_hat_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/source_directions/neg_ctrl_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/source_directions/pos_ctrl_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/u_d_hs27.json': Value('string'), 'gemma4-e4b/placebo_draw_ledger.pocket.json': Value('string'), 'gemma4-e4b/placebo_summary.hs25.pocket.json': Value('string'), 'gemma4-e4b/pocket_rollup.json': Value('string'), 'gemma4-e4b/split_manifest.json': Value('string'), 'gemma4-e4b/undosed_summary.hs25.pocket.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'amendment_ah_stage0_extract.py': Value('string'), 'backends.py': Value('string'), 'build_directions.py': Value('string'), 'calibrate_dose.py': Value('string'), 'cell.yaml': Value('string'), 'families/gemma4-e4b.yaml': Value('string'), 'family_config.py': Value('string'), 'g2_companion.py': Value('string'), 'gate_fit.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'kv_seam_patch.py': Value('string'), 'kv_seam_preflight.py': Value('string'), 'model_lib.py': Value('string'), 'pipeline.py': Value('string'), 'placebo_direction.py': Value('string'), 'pocket_rollup.py': Value('string'), 'run_contrast.py': Value('string'), 'scorers.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
              family: string
              substrate: string
              base_model: string
              site_set: string
              hs_indices: list<item: int64>
                child 0, item: int64
              kv_sharing: string
              hidden_dim: int64
              random_state: int64
              reproducibility_verified: bool
              extract_manifest_sha256: string
              split_manifest_sha256: string
              layers: struct<hs25: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64 (... 770 chars omitted)
                child 0, hs25: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64, n_confab_fi (... 180 chars omitted)
                    child 0, hs_index: int64
                    child 1, decoder_block_index: int64
                    child 2, n_known_correct_answered_fit: int64
                    child 3, n_confab_fit: int64
                    child 4, n_unknown_refused: int64
                    child 5, cos_u_d_u_p: double
                    child 6, cos_caution_dir_c_hat: double
                    child 7, mu_d: double
                    child 8, sigma_d: double
                    child 9, mu_p: double
                    child 10, sigma_p: double
                    child 11, mu_c: double
                    child 12, sigma_c: double
                child 1, hs26: struct<hs_index: int64, decoder_block_index: int64, n_known_correct_answered_fit: int64, n_confab_fi (... 180 chars omitted)
                    child 0, hs_index: int64
                    child 1, decoder_block_index: int64
                    child 2, n_known_correct_answered_fit: int64
                    child 3, n_confab_fit: int64
                    child 4, n_unknown_refused: int64
                    child 5, cos_u_d_u_p: double
                    child 6, cos_caution_dir_c_hat: double
                    child 7, mu_d: double
                    child 8, sigma_d: double
                    child 9,
              ...
              d 14, gemma4-e4b/layers/hs27/source_directions/pos_ctrl_hs27.json: string
                child 15, gemma4-e4b/layers/hs27/u_d_hs27.json: string
                child 16, gemma4-e4b/placebo_draw_ledger.pocket.json: string
                child 17, gemma4-e4b/placebo_summary.hs25.pocket.json: string
                child 18, gemma4-e4b/pocket_rollup.json: string
                child 19, gemma4-e4b/split_manifest.json: string
                child 20, gemma4-e4b/undosed_summary.hs25.pocket.json: string
              generation_date: string
              amendment_path: string
              instrument_config_sha256: struct<amendment_ah_stage0_extract.py: string, backends.py: string, build_directions.py: string, cal (... 407 chars omitted)
                child 0, amendment_ah_stage0_extract.py: string
                child 1, backends.py: string
                child 2, build_directions.py: string
                child 3, calibrate_dose.py: string
                child 4, cell.yaml: string
                child 5, families/gemma4-e4b.yaml: string
                child 6, family_config.py: string
                child 7, g2_companion.py: string
                child 8, gate_fit.py: string
                child 9, gates.yaml: string
                child 10, gen_lib.py: string
                child 11, grader.py: string
                child 12, kv_seam_patch.py: string
                child 13, kv_seam_preflight.py: string
                child 14, model_lib.py: string
                child 15, pipeline.py: string
                child 16, placebo_direction.py: string
                child 17, pocket_rollup.py: string
                child 18, run_contrast.py: string
                child 19, scorers.py: string
              experiment_slug: string
              sources_present: struct<>
              repo_commit_sha: string
              license_gate_excluded: struct<>
              shape: string
              excluded: list<item: null>
                child 0, item: null
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'gemma4-e4b/build_manifest_layers.pocket.json': Value('string'), 'gemma4-e4b/dose_calibration_summary.pocket.json': Value('string'), 'gemma4-e4b/full_summary.pocket.json': Value('string'), 'gemma4-e4b/gate_fit_layers.pocket.json': Value('string'), 'gemma4-e4b/layers/hs25/c_hat_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/source_directions/neg_ctrl_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/source_directions/pos_ctrl_hs25.json': Value('string'), 'gemma4-e4b/layers/hs25/u_d_hs25.json': Value('string'), 'gemma4-e4b/layers/hs26/c_hat_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/source_directions/neg_ctrl_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/source_directions/pos_ctrl_hs26.json': Value('string'), 'gemma4-e4b/layers/hs26/u_d_hs26.json': Value('string'), 'gemma4-e4b/layers/hs27/c_hat_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/source_directions/neg_ctrl_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/source_directions/pos_ctrl_hs27.json': Value('string'), 'gemma4-e4b/layers/hs27/u_d_hs27.json': Value('string'), 'gemma4-e4b/placebo_draw_ledger.pocket.json': Value('string'), 'gemma4-e4b/placebo_summary.hs25.pocket.json': Value('string'), 'gemma4-e4b/pocket_rollup.json': Value('string'), 'gemma4-e4b/split_manifest.json': Value('string'), 'gemma4-e4b/undosed_summary.hs25.pocket.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'amendment_ah_stage0_extract.py': Value('string'), 'backends.py': Value('string'), 'build_directions.py': Value('string'), 'calibrate_dose.py': Value('string'), 'cell.yaml': Value('string'), 'families/gemma4-e4b.yaml': Value('string'), 'family_config.py': Value('string'), 'g2_companion.py': Value('string'), 'gate_fit.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'kv_seam_patch.py': Value('string'), 'kv_seam_preflight.py': Value('string'), 'model_lib.py': Value('string'), 'pipeline.py': Value('string'), 'placebo_direction.py': Value('string'), 'pocket_rollup.py': Value('string'), 'run_contrast.py': Value('string'), 'scorers.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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gemma4-e4b-pocket-ladder -- 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-gemma4-e4b-pocket-ladder

Provenance

  • Experiment: experiments/gemma4-e4b-pocket-ladder
  • Amendment: experiments/gemma4-e4b-pocket-ladder/AMENDMENT.md
  • Repo commit SHA: b642b7c60968c72659f84478a0f4c433507fe8be
  • Generated: 2026-08-27T19:54:50.859859+00:00
  • Pinned instrument config sha256:
    • amendment_ah_stage0_extract.py: 7f713fa748c8b20bb2697aece41dc63126d2b2ad41bd9d9741002a0675d87ac1
    • backends.py: 50f1ceb720525de379c078ee8b6d6a00e6c18cc90825d7415f8b2fbf378cae0d
    • build_directions.py: e8f9798047e74af6b292272b870a95e7c8f081a8de68c218819749efa9e78113
    • calibrate_dose.py: 5ee1ba7715db2146e1dbaff9d056afa61852bfec09ac93e0d99a3145e9e35b8e
    • cell.yaml: e17ba9207ad050631edb5ce856b3f4741a02a0ce45075afa9256b2e2566df973
    • families/gemma4-e4b.yaml: fe16edfa190028b734a94ef9fee30879ac2f47334dbd01c912d8a5a6d5ef6dec
    • family_config.py: 905749eeafc8ffd5d991fa72e21e5548e511ca54d5d768fa3dfdf69061e3dcfe
    • g2_companion.py: 65306de719ddbf3313606b9fb7798d8b0409cd8fdbc323557da6dac34ba0a021
    • gate_fit.py: 5caa08f90492d812f3bf5d922b952960947760ca1881caff5e744a7c16c4e62a
    • gates.yaml: e4bc65ede254330036238b3241c054bfde990b96e9f3cf4929e2c886082729f8
    • gen_lib.py: 51237576b7c81291fb2deebb193f51f2fa732a9159c449a721a58905cc29c697
    • grader.py: 35dfbaf9d4932471c1da43087b03e5c81921af2c998ce167e7fceb1539fb48b5
    • kv_seam_patch.py: 2814368f48baaf7ae135fe3b3176e88ea42cd6ddfda32508893a2c70150ebadc
    • kv_seam_preflight.py: 9040d5ef57b00637c1c15c4fc3771421635aad6c710eb007ec627599007e1f4a
    • model_lib.py: b5e7239f0ba25ce42e7df624e0706d421beaba23bbff9bc2dd421f55ee2681ce
    • pipeline.py: 89948aefa32b810cefbad2366647a62c22e5338353f670730d404b8cfd31ebf0
    • placebo_direction.py: cb738382866e2dba1289096de76ffac46b72541234c7e3828181c7489d357e84
    • pocket_rollup.py: eb990aa8699cfa6c9933e682f9b86c1e4e9f69109cce4144f93f9a3b11c0bac9
    • run_contrast.py: 89ea37110e8154422e1e962b624c602fa59c040129bd8d15fa20205e776589ed
    • scorers.py: 1b3eda5d8d68c9184674f092805278505c5cd2065a21ffe7ec348e9ea5a00c37

File inventory

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

  • gemma4-e4b: 21 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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