Datasets:

professorsynapse
/

eh-j-space-layer-contrast-rep2-multisource

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
mode: string
selected_doses: struct<hs23: double, hs26: double, hs29: double, hs34: double>
  child 0, hs23: double
  child 1, hs26: double
  child 2, hs29: double
  child 3, hs34: double
pool_counts: struct<confab: int64, known_correct_answered: int64, total: int64>
  child 0, confab: int64
  child 1, known_correct_answered: int64
  child 2, total: int64
n_rows: int64
layers: struct<hs23: struct<hs_index: int64, n_rows: int64, n_fired: int64, readback_mean: double, frac_read (... 1442 chars omitted)
  child 0, hs23: struct<hs_index: int64, n_rows: int64, n_fired: int64, readback_mean: double, frac_readback_within_t (... 276 chars omitted)
      child 0, hs_index: int64
      child 1, n_rows: int64
      child 2, n_fired: int64
      child 3, readback_mean: double
      child 4, frac_readback_within_tol: double
      child 5, collapse_rate_on_dosed: double
      child 6, confab_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: double
          child 3, wilson_ci_95: list<item: double>
              child 0, item: double
      child 7, known_correct_cost_control: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
          child 0, n: int64
          child 1, successes: int64
          child 2, rate: double
          child 3, wilson_ci_95: list<item: double>
              child 0, item: double
      child 8, dose_tar
...
      child 4, neither_tighten: int64
      child 5, failure_ratio_late_over_mid: double
      child 6, mcnemar_exact_p: double
  child 6, g1_prime_ratio_component_pass: bool
  child 7, g1_prime_pvalue_component_pass: bool
  child 8, g1_prime_pass: bool
  child 9, g2_prime_pass: bool
  child 10, g3_prime_status: string
  child 11, g3_prime_pass: bool
  child 12, late_confab_tighten_rate: double
  child 13, late_confab_tighten_wilson_ci_95: list<item: double>
      child 0, item: double
instrument_pass: bool
overall_pass: bool
instrument_config_sha256: struct<analyze_paired_outcomes.py: string, cell.yaml: string, extract_multisource_confab_anchor.py:  (... 160 chars omitted)
  child 0, analyze_paired_outcomes.py: string
  child 1, cell.yaml: string
  child 2, extract_multisource_confab_anchor.py: string
  child 3, gates.yaml: string
  child 4, materialize_known_side_reuse.py: string
  child 5, mine_multisource_pool.py: string
  child 6, pipeline_multisource.py: string
  child 7, run_contrast.py: string
license_gate_excluded: struct<>
experiment_slug: string
files: struct<full_summary.json: string, known_side_reuse_manifest.json: string, multisource_pool_manifest. (... 13 chars omitted)
  child 0, full_summary.json: string
  child 1, known_side_reuse_manifest.json: string
  child 2, multisource_pool_manifest.json: string
shape: string
repo_commit_sha: string
excluded: list<item: null>
  child 0, item: null
sources_present: struct<>
generation_date: string
amendment_path: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'full_summary.json': Value('string'), 'known_side_reuse_manifest.json': Value('string'), 'multisource_pool_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'analyze_paired_outcomes.py': Value('string'), 'cell.yaml': Value('string'), 'extract_multisource_confab_anchor.py': Value('string'), 'gates.yaml': Value('string'), 'materialize_known_side_reuse.py': Value('string'), 'mine_multisource_pool.py': Value('string'), 'pipeline_multisource.py': Value('string'), 'run_contrast.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
              mode: string
              selected_doses: struct<hs23: double, hs26: double, hs29: double, hs34: double>
                child 0, hs23: double
                child 1, hs26: double
                child 2, hs29: double
                child 3, hs34: double
              pool_counts: struct<confab: int64, known_correct_answered: int64, total: int64>
                child 0, confab: int64
                child 1, known_correct_answered: int64
                child 2, total: int64
              n_rows: int64
              layers: struct<hs23: struct<hs_index: int64, n_rows: int64, n_fired: int64, readback_mean: double, frac_read (... 1442 chars omitted)
                child 0, hs23: struct<hs_index: int64, n_rows: int64, n_fired: int64, readback_mean: double, frac_readback_within_t (... 276 chars omitted)
                    child 0, hs_index: int64
                    child 1, n_rows: int64
                    child 2, n_fired: int64
                    child 3, readback_mean: double
                    child 4, frac_readback_within_tol: double
                    child 5, collapse_rate_on_dosed: double
                    child 6, confab_tighten: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: double
                        child 3, wilson_ci_95: list<item: double>
                            child 0, item: double
                    child 7, known_correct_cost_control: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>
                        child 0, n: int64
                        child 1, successes: int64
                        child 2, rate: double
                        child 3, wilson_ci_95: list<item: double>
                            child 0, item: double
                    child 8, dose_tar
              ...
                    child 4, neither_tighten: int64
                    child 5, failure_ratio_late_over_mid: double
                    child 6, mcnemar_exact_p: double
                child 6, g1_prime_ratio_component_pass: bool
                child 7, g1_prime_pvalue_component_pass: bool
                child 8, g1_prime_pass: bool
                child 9, g2_prime_pass: bool
                child 10, g3_prime_status: string
                child 11, g3_prime_pass: bool
                child 12, late_confab_tighten_rate: double
                child 13, late_confab_tighten_wilson_ci_95: list<item: double>
                    child 0, item: double
              instrument_pass: bool
              overall_pass: bool
              instrument_config_sha256: struct<analyze_paired_outcomes.py: string, cell.yaml: string, extract_multisource_confab_anchor.py:  (... 160 chars omitted)
                child 0, analyze_paired_outcomes.py: string
                child 1, cell.yaml: string
                child 2, extract_multisource_confab_anchor.py: string
                child 3, gates.yaml: string
                child 4, materialize_known_side_reuse.py: string
                child 5, mine_multisource_pool.py: string
                child 6, pipeline_multisource.py: string
                child 7, run_contrast.py: string
              license_gate_excluded: struct<>
              experiment_slug: string
              files: struct<full_summary.json: string, known_side_reuse_manifest.json: string, multisource_pool_manifest. (... 13 chars omitted)
                child 0, full_summary.json: string
                child 1, known_side_reuse_manifest.json: string
                child 2, multisource_pool_manifest.json: string
              shape: string
              repo_commit_sha: string
              excluded: list<item: null>
                child 0, item: null
              sources_present: struct<>
              generation_date: string
              amendment_path: string
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'full_summary.json': Value('string'), 'known_side_reuse_manifest.json': Value('string'), 'multisource_pool_manifest.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'analyze_paired_outcomes.py': Value('string'), 'cell.yaml': Value('string'), 'extract_multisource_confab_anchor.py': Value('string'), 'gates.yaml': Value('string'), 'materialize_known_side_reuse.py': Value('string'), 'mine_multisource_pool.py': Value('string'), 'pipeline_multisource.py': Value('string'), 'run_contrast.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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j-space-layer-contrast-rep2-multisource -- 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-j-space-layer-contrast-rep2-multisource

Provenance

Experiment: experiments/j-space-layer-contrast-rep2-multisource
Amendment: experiments/j-space-layer-contrast-rep2-multisource/AMENDMENT.md
Repo commit SHA: 092e425ffbad51022dda36386ff515b5c26f3dde
Generated: 2026-08-31T11:35:28.687821+00:00
Pinned instrument config sha256:
- analyze_paired_outcomes.py: be0c1e65e78d231938b1097250c2c198d23aa48e746d6bedba55d4074b66d9a7
- cell.yaml: 47f51b3d75728e21f541abdaf6e24a80eb1fa304f89f1116df31324835de4b01
- extract_multisource_confab_anchor.py: 54b0986a83734fc304b751f7644ac5fb41e5737645f5b062e58281bcc51d76d7
- gates.yaml: acb90ece34f472e9ab2a092c275d4bac8714b4ba50a8313006c481a2c5b1f29c
- materialize_known_side_reuse.py: 0a4fb28b4e933a3eaf9e77242de474a4b27127a9cca6d3fb61a1faf7f04bc9f5
- mine_multisource_pool.py: bcc5c837b833f6179f2518bf06da03003eb3b398a313cc67503cc9cfd34951fb
- pipeline_multisource.py: d67f872b08f72b502cc6e23f2ee24c55479071881f5b047c19c3b492b76d7e38
- run_contrast.py: 1a28ae4f7779c8ccf6015c46f743be389162fb1503eb1307b1e8689d6090f26e

File inventory

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

full_summary.json: 1 file(s)
known_side_reuse_manifest.json: 1 file(s)
multisource_pool_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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2.46 MB