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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
gold_label: string
qhash: string
row_key: string
source: string
experiment_slug: string
repo_commit_sha: string
amendment_path: string
instrument_config_sha256: struct<cell.yaml: string, cloud/modal_bb_phase0.py: string, gates.yaml: string>
  child 0, cell.yaml: string
  child 1, cloud/modal_bb_phase0.py: string
  child 2, gates.yaml: string
shape: string
generation_date: string
sources_present: struct<>
license_gate_excluded: struct<>
files: struct<fit_surface/PROVENANCE.md: string, fit_surface/fit_ids.jsonl: string, phase0/density_report.j (... 183 chars omitted)
  child 0, fit_surface/PROVENANCE.md: string
  child 1, fit_surface/fit_ids.jsonl: string
  child 2, phase0/density_report.json: string
  child 3, phase1/gate_report.json: string
  child 4, phase1/near_dup_flagged.json: string
  child 5, read_surface_h9_vendored/PROVENANCE.md: string
  child 6, read_surface_h9_vendored/holdout_ids.jsonl: string
excluded: list<item: null>
  child 0, item: null
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_surface/PROVENANCE.md': Value('string'), 'fit_surface/fit_ids.jsonl': Value('string'), 'phase0/density_report.json': Value('string'), 'phase1/gate_report.json': Value('string'), 'phase1/near_dup_flagged.json': Value('string'), 'read_surface_h9_vendored/PROVENANCE.md': Value('string'), 'read_surface_h9_vendored/holdout_ids.jsonl': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'cloud/modal_bb_phase0.py': Value('string'), 'gates.yaml': 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
              gold_label: string
              qhash: string
              row_key: string
              source: string
              experiment_slug: string
              repo_commit_sha: string
              amendment_path: string
              instrument_config_sha256: struct<cell.yaml: string, cloud/modal_bb_phase0.py: string, gates.yaml: string>
                child 0, cell.yaml: string
                child 1, cloud/modal_bb_phase0.py: string
                child 2, gates.yaml: string
              shape: string
              generation_date: string
              sources_present: struct<>
              license_gate_excluded: struct<>
              files: struct<fit_surface/PROVENANCE.md: string, fit_surface/fit_ids.jsonl: string, phase0/density_report.j (... 183 chars omitted)
                child 0, fit_surface/PROVENANCE.md: string
                child 1, fit_surface/fit_ids.jsonl: string
                child 2, phase0/density_report.json: string
                child 3, phase1/gate_report.json: string
                child 4, phase1/near_dup_flagged.json: string
                child 5, read_surface_h9_vendored/PROVENANCE.md: string
                child 6, read_surface_h9_vendored/holdout_ids.jsonl: string
              excluded: list<item: null>
                child 0, item: null
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'fit_surface/PROVENANCE.md': Value('string'), 'fit_surface/fit_ids.jsonl': Value('string'), 'phase0/density_report.json': Value('string'), 'phase1/gate_report.json': Value('string'), 'phase1/near_dup_flagged.json': Value('string'), 'read_surface_h9_vendored/PROVENANCE.md': Value('string'), 'read_surface_h9_vendored/holdout_ids.jsonl': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'cloud/modal_bb_phase0.py': Value('string'), 'gates.yaml': 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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bb-base-propensity-fit-read -- 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-bb-base-propensity-fit-read

Provenance

  • Experiment: experiments/bb-base-propensity-fit-read
  • Amendment: experiments/bb-base-propensity-fit-read/AMENDMENT.md
  • Repo commit SHA: 37eaa399bb4a7ce999e63d8b202d5c084f599fa6
  • Generated: 2026-08-28T00:14:33.413842+00:00
  • Pinned instrument config sha256:
    • cell.yaml: ad79980f6bb97ed7a2c8b291f3dadc8c8e2a65f0d46a1461241903ebe7aabb75
    • cloud/modal_bb_phase0.py: ba0341c4f7e5361c4fde201e7e5c9877a6a7fed1a9fa2626f6573c2a5612229f
    • gates.yaml: 33fe08ad0aba33964e46ead6a1dcda0a8e73f5b79c9dc68b9645fcc427aa545b

File inventory

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

  • fit_surface: 2 file(s)
  • phase0: 1 file(s)
  • phase1: 2 file(s)
  • read_surface_h9_vendored: 2 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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