Datasets:

professorsynapse
/

eh-placebo-seed-distribution-census

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n_applied_rows: int64
pooled_clear_positive: struct<clear_positive_agreement_pooled: double, clear_positive_correct_pooled: int64, clear_positive (... 67 chars omitted)
  child 0, clear_positive_agreement_pooled: double
  child 1, clear_positive_correct_pooled: int64
  child 2, clear_positive_total_pooled: int64
  child 3, floor: double
  child 4, n_shards: int64
  child 5, passed: bool
pooled_failure_cells: list<item: null>
  child 0, item: null
shards: struct<llama32_3b_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreemen (... 4396 chars omitted)
  child 0, llama32_3b_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_ag (... 126 chars omitted)
      child 0, cell: string
      child 1, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_agreement: double, clear_pos (... 99 chars omitted)
          child 0, attempt: int64
          child 1, clear_negative_agreement: double
          child 2, clear_positive_agreement: double
          child 3, clear_positive_floor_met: bool
          child 4, clear_positive_total: int64
          child 5, passed: bool
          child 6, shard_id: string
          child 7, status: string
  child 1, llama32_3b_shard_01: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_ag (... 126 chars omitted)
      child 0, cell: string
      child 1, cg1: struct<attempt: int64, clear_negative_agreem
...
hild 7, graded_manifest.json: string
  child 8, heldback_decoy_summary.json: string
  child 9, llama_setpoint_provenance.json: string
  child 10, pool_manifest.json: string
  child 11, sc1_ledger_summary.json: string
  child 12, staging_manifest.json: string
  child 13, subsample_manifest.json: string
instrument_config_sha256: struct<apply_adjudication.py: string, build_pool.py: string, cell.yaml: string, common.py: string, c (... 557 chars omitted)
  child 0, apply_adjudication.py: string
  child 1, build_pool.py: string
  child 2, cell.yaml: string
  child 3, common.py: string
  child 4, config.py: string
  child 5, criterion.py: string
  child 6, detector_v2.py: string
  child 7, detector_v2_patterns.yaml: string
  child 8, direction_draw.py: string
  child 9, gates.yaml: string
  child 10, gates_lib.py: string
  child 11, gen_lib.py: string
  child 12, grader.py: string
  child 13, heldback_decoys.py: string
  child 14, llama_setpoint_provenance.py: string
  child 15, paired_delta.py: string
  child 16, render.py: string
  child 17, report.py: string
  child 18, row_pool.py: string
  child 19, run_census.py: string
  child 20, sc1_checks.py: string
  child 21, sc1_ledger_summary.py: string
  child 22, staging.py: string
  child 23, steer_lib.py: string
  child 24, subsample.py: string
  child 25, test_census_smoke.py: string
  child 26, test_report_smoke.py: string
generation_date: string
repo_commit_sha: string
shape: string
experiment_slug: string
amendment_path: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'adjudication_applied_manifest.json': Value('string'), 'adjudication_graded_manifest.json': Value('string'), 'census_report.json': Value('string'), 'census_report_defective_join.json': Value('string'), 'gpu_smoke_llama32_3b.json': Value('string'), 'gpu_smoke_mistral7b_v03.json': Value('string'), 'gpu_smoke_qwen35_4b.json': Value('string'), 'graded_manifest.json': Value('string'), 'heldback_decoy_summary.json': Value('string'), 'llama_setpoint_provenance.json': Value('string'), 'pool_manifest.json': Value('string'), 'sc1_ledger_summary.json': Value('string'), 'staging_manifest.json': Value('string'), 'subsample_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_pool.py': Value('string'), 'cell.yaml': Value('string'), 'common.py': Value('string'), 'config.py': Value('string'), 'criterion.py': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_draw.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldback_decoys.py': Value('string'), 'llama_setpoint_provenance.py': Value('string'), 'paired_delta.py': Value('string'), 'render.py': Value('string'), 'report.py': Value('string'), 'row_pool.py': Value('string'), 'run_census.py': Value('string'), 'sc1_checks.py': Value('string'), 'sc1_ledger_summary.py': Value('string'), 'staging.py': Value('string'), 'steer_lib.py': Value('string'), 'subsample.py': Value('string'), 'test_census_smoke.py': Value('string'), 'test_report_smoke.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
              n_applied_rows: int64
              pooled_clear_positive: struct<clear_positive_agreement_pooled: double, clear_positive_correct_pooled: int64, clear_positive (... 67 chars omitted)
                child 0, clear_positive_agreement_pooled: double
                child 1, clear_positive_correct_pooled: int64
                child 2, clear_positive_total_pooled: int64
                child 3, floor: double
                child 4, n_shards: int64
                child 5, passed: bool
              pooled_failure_cells: list<item: null>
                child 0, item: null
              shards: struct<llama32_3b_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreemen (... 4396 chars omitted)
                child 0, llama32_3b_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_ag (... 126 chars omitted)
                    child 0, cell: string
                    child 1, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_agreement: double, clear_pos (... 99 chars omitted)
                        child 0, attempt: int64
                        child 1, clear_negative_agreement: double
                        child 2, clear_positive_agreement: double
                        child 3, clear_positive_floor_met: bool
                        child 4, clear_positive_total: int64
                        child 5, passed: bool
                        child 6, shard_id: string
                        child 7, status: string
                child 1, llama32_3b_shard_01: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreement: double, clear_positive_ag (... 126 chars omitted)
                    child 0, cell: string
                    child 1, cg1: struct<attempt: int64, clear_negative_agreem
              ...
              hild 7, graded_manifest.json: string
                child 8, heldback_decoy_summary.json: string
                child 9, llama_setpoint_provenance.json: string
                child 10, pool_manifest.json: string
                child 11, sc1_ledger_summary.json: string
                child 12, staging_manifest.json: string
                child 13, subsample_manifest.json: string
              instrument_config_sha256: struct<apply_adjudication.py: string, build_pool.py: string, cell.yaml: string, common.py: string, c (... 557 chars omitted)
                child 0, apply_adjudication.py: string
                child 1, build_pool.py: string
                child 2, cell.yaml: string
                child 3, common.py: string
                child 4, config.py: string
                child 5, criterion.py: string
                child 6, detector_v2.py: string
                child 7, detector_v2_patterns.yaml: string
                child 8, direction_draw.py: string
                child 9, gates.yaml: string
                child 10, gates_lib.py: string
                child 11, gen_lib.py: string
                child 12, grader.py: string
                child 13, heldback_decoys.py: string
                child 14, llama_setpoint_provenance.py: string
                child 15, paired_delta.py: string
                child 16, render.py: string
                child 17, report.py: string
                child 18, row_pool.py: string
                child 19, run_census.py: string
                child 20, sc1_checks.py: string
                child 21, sc1_ledger_summary.py: string
                child 22, staging.py: string
                child 23, steer_lib.py: string
                child 24, subsample.py: string
                child 25, test_census_smoke.py: string
                child 26, test_report_smoke.py: string
              generation_date: string
              repo_commit_sha: string
              shape: string
              experiment_slug: string
              amendment_path: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'adjudication_applied_manifest.json': Value('string'), 'adjudication_graded_manifest.json': Value('string'), 'census_report.json': Value('string'), 'census_report_defective_join.json': Value('string'), 'gpu_smoke_llama32_3b.json': Value('string'), 'gpu_smoke_mistral7b_v03.json': Value('string'), 'gpu_smoke_qwen35_4b.json': Value('string'), 'graded_manifest.json': Value('string'), 'heldback_decoy_summary.json': Value('string'), 'llama_setpoint_provenance.json': Value('string'), 'pool_manifest.json': Value('string'), 'sc1_ledger_summary.json': Value('string'), 'staging_manifest.json': Value('string'), 'subsample_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_pool.py': Value('string'), 'cell.yaml': Value('string'), 'common.py': Value('string'), 'config.py': Value('string'), 'criterion.py': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_draw.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldback_decoys.py': Value('string'), 'llama_setpoint_provenance.py': Value('string'), 'paired_delta.py': Value('string'), 'render.py': Value('string'), 'report.py': Value('string'), 'row_pool.py': Value('string'), 'run_census.py': Value('string'), 'sc1_checks.py': Value('string'), 'sc1_ledger_summary.py': Value('string'), 'staging.py': Value('string'), 'steer_lib.py': Value('string'), 'subsample.py': Value('string'), 'test_census_smoke.py': Value('string'), 'test_report_smoke.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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placebo-seed-distribution-census -- 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-placebo-seed-distribution-census

Provenance

Experiment: experiments/placebo-seed-distribution-census
Amendment: experiments/placebo-seed-distribution-census/AMENDMENT.md
Repo commit SHA: fab3cad66e9a4c9aa18cf737d48423dfeeacec66
Generated: 2026-08-27T22:25:20.069847+00:00
Pinned instrument config sha256:
- apply_adjudication.py: 76348e047a65bd6e320b3708dae9c17d1433146efa1211532d0f061138a0dce7
- build_pool.py: 2627cee359a1d01db4890e8cea1c13e364be5b6b8cfff18a6a9465d82c6cff68
- cell.yaml: b97191388cdc2077a9652fa6aa4d4e7c90fdbe1d7c4ec8d5e542f8fe9ef5e420
- common.py: 1259e51b4b26e38156d5d5c0ee8cd8c3510dfcc0e24ec99c87ea04445bde2026
- config.py: dc9f43d2f6efb05a5a93fe7146aa69dd71107dd490959b40b8826c21850b4419
- criterion.py: 4aa178a4556084671a9b65b5be1157ac80d4a25150b1d5ce85a60c407d2a9aa7
- detector_v2.py: 161fd8548ec0dad1daabd590870654f1c32bd0daf21e6026a2c18c83e83991ae
- detector_v2_patterns.yaml: 36422e01ae03008c2f71f180158c63950e14f8dfc1279c4e654c89fb831841d9
- direction_draw.py: ade97b9f7152a3a527194f119f680faf7f72c6268dbc259ab754a1d8f9e72a26
- gates.yaml: a66e228f49ee8560d7cc75f5035aa438ae84b6127bda8025d01c01b41719aca9
- gates_lib.py: 905b61a56c2e12937cfd2214af3da18fd9fabe241e52edbba2e6f7f1479e9b1d
- gen_lib.py: 846b6a257723f4e72e87376c5c6293aed3b4a580a3e261b88f4d17b45da9b3fa
- grader.py: eb395542d4163c05417f303df04782e2ebcdcd104b5181aa0af2e966b93b1df9
- heldback_decoys.py: 15420fd1d9b0772e4bf29f4c71f9785b5d2b240ebc36f825dca8dcb1fdd30c94
- llama_setpoint_provenance.py: 50ae84ef97f41c05f1138daec5167ba678f6eb79eedbc98f811f4d5ef5ed2886
- paired_delta.py: 169322a857795737f5417fa1f3f95462e5ac8f640be7def6ea600487aba9077b
- render.py: f256f0bf7073df9981a0e3d68b2b0ae24edff7000193fe7e8325299cc4d277e3
- report.py: 271299a1e539c8b4838589f2a4eb1135e61545a9439c26983e0a032ffba253cc
- row_pool.py: c78511c19072111f0042ddc266748eb6ef2ed326b6bef8bb81effd19746f24c2
- run_census.py: b24071e13cd699a2df2d5c1db74a124b6c7f9c06a9f765e8445caf785b85488a
- sc1_checks.py: ea3944837cc5a63f66cde5a78de65421c144fe810552914fe865d0b7c115b972
- sc1_ledger_summary.py: 08d98ba689943f08d5a64f8ed003b050155cb59387e48ad2dddd7f5e0baa6507
- staging.py: 1c8340e361d143f57ed36076d289bc3bfcf090321a8c6ce39842f6672963adba
- steer_lib.py: abf01536a69f01e72ae89abccb8f079a8d1b080fe30c0e46f5946c42a5817493
- subsample.py: f8b2ab0b2f7a16133e9d622fcba8a247bf7134f14c61df0e88124e8b80595fa1
- test_census_smoke.py: e0fd705ba701d19153f9bcf57eb404c44d80da6c7d5ff7d2806cd04770f8b6ba
- test_report_smoke.py: 1cf7820a2de6efbfa78f3181672c697ce93fd038e6c4d6606dd2e8f9838ce532

File inventory

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

adjudication_applied_manifest.json: 1 file(s)
adjudication_graded_manifest.json: 1 file(s)
census_report.json: 1 file(s)
census_report_defective_join.json: 1 file(s)
gpu_smoke_llama32_3b.json: 1 file(s)
gpu_smoke_mistral7b_v03.json: 1 file(s)
gpu_smoke_qwen35_4b.json: 1 file(s)
graded_manifest.json: 1 file(s)
heldback_decoy_summary.json: 1 file(s)
llama_setpoint_provenance.json: 1 file(s)
pool_manifest.json: 1 file(s)
sc1_ledger_summary.json: 1 file(s)
staging_manifest.json: 1 file(s)
subsample_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.

Downloads last month: 29

Total file size:

660 kB