Datasets:

professorsynapse
/

eh-evidence-response-direction-search

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
calibration: struct<mu_c: double, sigma_c: double>
  child 0, mu_c: double
  child 1, sigma_c: double
hidden_dim: int64
intercept: double
layer: int64
mu: list<item: double>
  child 0, item: double
normalized: bool
provenance: struct<amendment: string, base_model: string, fit_id_list_sha256: string, fit_population: string, fi (... 203 chars omitted)
  child 0, amendment: string
  child 1, base_model: string
  child 2, fit_id_list_sha256: string
  child 3, fit_population: string
  child 4, fit_split_file_sha256: string
  child 5, hs_index: int64
  child 6, mu_c_sigma_c_population_note: string
  child 7, reference_dose_abs: double
  child 8, reference_dose_derivation: string
  child 9, revision: string
  child 10, role: string
  child 11, sign_convention: string
raw_norm: double
recipe: struct<estimator: string, source: string>
  child 0, estimator: string
  child 1, source: string
schema_version: string
sigma: double
vector: list<item: double>
  child 0, item: double
files: struct<directions/hs20/d_ev.json: string, directions/hs20/d_ev_topPC.json: string, results/heldout_p (... 162 chars omitted)
  child 0, directions/hs20/d_ev.json: string
  child 1, directions/hs20/d_ev_topPC.json: string
  child 2, results/heldout_projections.jsonl: string
  child 3, results/m4c_results.json: string
  child 4, sc0_enforcement.json: string
  child 5, selection/fit_heldout_split.json: string
  child 6, staging_manifest.json: string
amendment_path: string
instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string>
  child 0, cell.yaml: string
  child 1, gates.yaml: string
repo_commit_sha: string
generation_date: string
experiment_slug: string
excluded: list<item: null>
  child 0, item: null
license_gate_excluded: struct<>
shape: string
sources_present: struct<>
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'directions/hs20/d_ev.json': Value('string'), 'directions/hs20/d_ev_topPC.json': Value('string'), 'results/heldout_projections.jsonl': Value('string'), 'results/m4c_results.json': Value('string'), 'sc0_enforcement.json': Value('string'), 'selection/fit_heldout_split.json': Value('string'), 'staging_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': 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
              calibration: struct<mu_c: double, sigma_c: double>
                child 0, mu_c: double
                child 1, sigma_c: double
              hidden_dim: int64
              intercept: double
              layer: int64
              mu: list<item: double>
                child 0, item: double
              normalized: bool
              provenance: struct<amendment: string, base_model: string, fit_id_list_sha256: string, fit_population: string, fi (... 203 chars omitted)
                child 0, amendment: string
                child 1, base_model: string
                child 2, fit_id_list_sha256: string
                child 3, fit_population: string
                child 4, fit_split_file_sha256: string
                child 5, hs_index: int64
                child 6, mu_c_sigma_c_population_note: string
                child 7, reference_dose_abs: double
                child 8, reference_dose_derivation: string
                child 9, revision: string
                child 10, role: string
                child 11, sign_convention: string
              raw_norm: double
              recipe: struct<estimator: string, source: string>
                child 0, estimator: string
                child 1, source: string
              schema_version: string
              sigma: double
              vector: list<item: double>
                child 0, item: double
              files: struct<directions/hs20/d_ev.json: string, directions/hs20/d_ev_topPC.json: string, results/heldout_p (... 162 chars omitted)
                child 0, directions/hs20/d_ev.json: string
                child 1, directions/hs20/d_ev_topPC.json: string
                child 2, results/heldout_projections.jsonl: string
                child 3, results/m4c_results.json: string
                child 4, sc0_enforcement.json: string
                child 5, selection/fit_heldout_split.json: string
                child 6, staging_manifest.json: string
              amendment_path: string
              instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string>
                child 0, cell.yaml: string
                child 1, gates.yaml: string
              repo_commit_sha: string
              generation_date: string
              experiment_slug: string
              excluded: list<item: null>
                child 0, item: null
              license_gate_excluded: struct<>
              shape: string
              sources_present: struct<>
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'directions/hs20/d_ev.json': Value('string'), 'directions/hs20/d_ev_topPC.json': Value('string'), 'results/heldout_projections.jsonl': Value('string'), 'results/m4c_results.json': Value('string'), 'sc0_enforcement.json': Value('string'), 'selection/fit_heldout_split.json': Value('string'), 'staging_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': 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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evidence-response-direction-search -- 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-evidence-response-direction-search

Provenance

Experiment: experiments/evidence-response-direction-search
Amendment: experiments/evidence-response-direction-search/AMENDMENT.md
Repo commit SHA: 37eaa399bb4a7ce999e63d8b202d5c084f599fa6
Generated: 2026-08-28T00:14:33.609044+00:00
Pinned instrument config sha256:
- cell.yaml: c060fd9b2a29e826246bc1fce5de8dbd3c6c20ca7a934468e9c286d171a35049
- gates.yaml: 9038b6a85533d1c2c749f6f30e3a661f4201afe4aee2c54d9a3a1c4b7ac3bd7b

File inventory

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

directions: 2 file(s)
results: 2 file(s)
sc0_enforcement.json: 1 file(s)
selection: 1 file(s)
staging_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.

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Total file size:

1 MB