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Datasets:
professorsynapse
/
eh-rr3-corrected-placebo-replication

Tasks:
Text Classification
Languages:
English
Tags:
epistemic-humility
mechanistic-interpretability
data-exhaust
License:
Dataset card Files
xet
 Community
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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
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<core_mistral_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreem (... 5176 chars omitted)
  child 0, core_mistral_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, core_mistral_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_ag
...
tector_v2_patterns.yaml: string
  child 6, direction_fit.py: string
  child 7, fit_reuse.py: string
  child 8, gates.yaml: string
  child 9, gates_lib.py: string
  child 10, gen_lib.py: string
  child 11, grader.py: string
  child 12, heldout_scorer.py: string
  child 13, materialize_rows.py: string
  child 14, pipeline.py: string
  child 15, render.py: string
  child 16, rg0_rr2_repro_check.py: string
  child 17, rr3_scorer.py: string
  child 18, steer_lib.py: string
  child 19, test_rr3_smoke.py: string
files: struct<adjudication_applied_manifest.json: string, adjudication_graded_manifest.json: string, adjudi (... 415 chars omitted)
  child 0, adjudication_applied_manifest.json: string
  child 1, adjudication_graded_manifest.json: string
  child 2, adjudication_pool_manifest.json: string
  child 3, core_final_report.json: string
  child 4, core_heldout_summary.json: string
  child 5, heldback_llama_summary.json: string
  child 6, heldback_mistral_summary.json: string
  child 7, llama/materialize_manifest.json: string
  child 8, mistral/materialize_manifest.json: string
  child 9, rg0_rr2_repro_report.json: string
  child 10, rider_final_report.json: string
  child 11, rider_llama_heldout_summary.json: string
  child 12, rider_mistral_heldout_summary.json: string
sources_present: struct<>
repo_commit_sha: string
license_gate_excluded: struct<>
generation_date: string
excluded: list<item: null>
  child 0, item: null
shape: string
amendment_path: string
experiment_slug: 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'), 'adjudication_pool_manifest.json': Value('string'), 'core_final_report.json': Value('string'), 'core_heldout_summary.json': Value('string'), 'heldback_llama_summary.json': Value('string'), 'heldback_mistral_summary.json': Value('string'), 'llama/materialize_manifest.json': Value('string'), 'mistral/materialize_manifest.json': Value('string'), 'rg0_rr2_repro_report.json': Value('string'), 'rider_final_report.json': Value('string'), 'rider_llama_heldout_summary.json': Value('string'), 'rider_mistral_heldout_summary.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_adjudication_pool.py': Value('string'), 'build_regrade.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_fit.py': Value('string'), 'fit_reuse.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldout_scorer.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'rg0_rr2_repro_check.py': Value('string'), 'rr3_scorer.py': Value('string'), 'steer_lib.py': Value('string'), 'test_rr3_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<core_mistral_shard_00: struct<cell: string, cg1: struct<attempt: int64, clear_negative_agreem (... 5176 chars omitted)
                child 0, core_mistral_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, core_mistral_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_ag
              ...
              tector_v2_patterns.yaml: string
                child 6, direction_fit.py: string
                child 7, fit_reuse.py: string
                child 8, gates.yaml: string
                child 9, gates_lib.py: string
                child 10, gen_lib.py: string
                child 11, grader.py: string
                child 12, heldout_scorer.py: string
                child 13, materialize_rows.py: string
                child 14, pipeline.py: string
                child 15, render.py: string
                child 16, rg0_rr2_repro_check.py: string
                child 17, rr3_scorer.py: string
                child 18, steer_lib.py: string
                child 19, test_rr3_smoke.py: string
              files: struct<adjudication_applied_manifest.json: string, adjudication_graded_manifest.json: string, adjudi (... 415 chars omitted)
                child 0, adjudication_applied_manifest.json: string
                child 1, adjudication_graded_manifest.json: string
                child 2, adjudication_pool_manifest.json: string
                child 3, core_final_report.json: string
                child 4, core_heldout_summary.json: string
                child 5, heldback_llama_summary.json: string
                child 6, heldback_mistral_summary.json: string
                child 7, llama/materialize_manifest.json: string
                child 8, mistral/materialize_manifest.json: string
                child 9, rg0_rr2_repro_report.json: string
                child 10, rider_final_report.json: string
                child 11, rider_llama_heldout_summary.json: string
                child 12, rider_mistral_heldout_summary.json: string
              sources_present: struct<>
              repo_commit_sha: string
              license_gate_excluded: struct<>
              generation_date: string
              excluded: list<item: null>
                child 0, item: null
              shape: string
              amendment_path: string
              experiment_slug: 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'), 'adjudication_pool_manifest.json': Value('string'), 'core_final_report.json': Value('string'), 'core_heldout_summary.json': Value('string'), 'heldback_llama_summary.json': Value('string'), 'heldback_mistral_summary.json': Value('string'), 'llama/materialize_manifest.json': Value('string'), 'mistral/materialize_manifest.json': Value('string'), 'rg0_rr2_repro_report.json': Value('string'), 'rider_final_report.json': Value('string'), 'rider_llama_heldout_summary.json': Value('string'), 'rider_mistral_heldout_summary.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_adjudication.py': Value('string'), 'build_adjudication_pool.py': Value('string'), 'build_regrade.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'direction_fit.py': Value('string'), 'fit_reuse.py': Value('string'), 'gates.yaml': Value('string'), 'gates_lib.py': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'heldout_scorer.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'rg0_rr2_repro_check.py': Value('string'), 'rr3_scorer.py': Value('string'), 'steer_lib.py': Value('string'), 'test_rr3_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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rr3-corrected-placebo-replication -- 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-rr3-corrected-placebo-replication

Provenance

  • Experiment: experiments/rr3-corrected-placebo-replication
  • Amendment: experiments/rr3-corrected-placebo-replication/AMENDMENT.md
  • Repo commit SHA: fab3cad66e9a4c9aa18cf737d48423dfeeacec66
  • Generated: 2026-08-27T22:25:43.680518+00:00
  • Pinned instrument config sha256:
    • apply_adjudication.py: 6174b56808bda1ba53e97d50ad0661a7c571eb2c5f68c76d7c39f077d61b1c5b
    • build_adjudication_pool.py: 16a1815b2b6692bd4b9cb0369f96539f60f200f333a2a53fb5c11f107c224b13
    • build_regrade.py: 73e81caa345285c8e102c5ae31d0a3fab5eaedcc69ead5ddbda563a7c2973287
    • cell.yaml: 53cafc21f6ec21b149a2f9429bd412f7bf3c19eabd5dd5d01bc1cf0311cd23fa
    • detector_v2.py: 161fd8548ec0dad1daabd590870654f1c32bd0daf21e6026a2c18c83e83991ae
    • detector_v2_patterns.yaml: 36422e01ae03008c2f71f180158c63950e14f8dfc1279c4e654c89fb831841d9
    • direction_fit.py: 04f2996301be1c5bbdea0a865fb8685b1f4001b6e5a06a87c0ed196048d65d9a
    • fit_reuse.py: 9667a1b1df4f357c4a94dba94507676c7af4a1b7da56289d539c5d3b01312bfd
    • gates.yaml: dddb379c81307d574ff5abeb3191c6abc13b4adda778667434069ed531d26151
    • gates_lib.py: 980bbc3942d8985d5e5306e42832cc3ff3f859e7c48803cd4f22a42492012e39
    • gen_lib.py: 32377162d2e8dd9850504d923ecf55be7b16d58aaa18115190f42b2a9b40ed1e
    • grader.py: 296784f0c7a23ba66cd00407677d2f2e073286a78dcb441330445783a8606676
    • heldout_scorer.py: e744637fa35732608af59bd97a4a2efe8a9951e555ab011ea8d75e079901350a
    • materialize_rows.py: 7ecbced5acafa7d23feb6185e86443eb43937b0bb5dd57e383e69a63b916c35b
    • pipeline.py: f41b3612aae2e11f300fbd007f886890075cf7ea7880866fb7a75e7fbee10be8
    • render.py: 43dc3d56d21eced272db64621152d311fe4eabce6863a6fe8f9fb4c9196b4866
    • rg0_rr2_repro_check.py: 79287ca067d6388e19edc57d44c5d02e52ccc5af7ed1e5148873bc429b94fa14
    • rr3_scorer.py: b1b25e0ea837589de26a9c3c09993b5a569c5ffb1514828346ec5e1cd31b1187
    • steer_lib.py: c78fd513b796dffd4f9808da7e5f2cc43d52625ad98850744c6bad1e91f29d23
    • test_rr3_smoke.py: a48bbb717c0704453acbc066b4dd0f36454fcc36bf7dbd354bc9efe13e5be381

File inventory

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

  • adjudication_applied_manifest.json: 1 file(s)
  • adjudication_graded_manifest.json: 1 file(s)
  • adjudication_pool_manifest.json: 1 file(s)
  • core_final_report.json: 1 file(s)
  • core_heldout_summary.json: 1 file(s)
  • heldback_llama_summary.json: 1 file(s)
  • heldback_mistral_summary.json: 1 file(s)
  • llama: 1 file(s)
  • mistral: 1 file(s)
  • rg0_rr2_repro_report.json: 1 file(s)
  • rider_final_report.json: 1 file(s)
  • rider_llama_heldout_summary.json: 1 file(s)
  • rider_mistral_heldout_summary.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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