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professorsynapse/eh-placebo-seed-distribution-census

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:… See the full description on the dataset page: https://huggingface.co/datasets/professorsynapse/eh-placebo-seed-distribution-census.

sourceHugging Faceotherupdated 27d agoView on Hugging Face
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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.