Datasets:

professorsynapse
/

eh-llama-hs17-direction-specificity

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
stub: bool
family: string
hs_index: int64
layer_name: string
arm0_baseline: struct<confab: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>, k (... 97 chars omitted)
  child 0, confab: 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 1, known_correct: 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
arm1_gated_replication: struct<confab: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>>
  child 0, confab: 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
arm2_random_census: struct<910001: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>, 9 (... 1286 chars omitted)
  child 0, 910001: 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: 
...
e
              child 11, 910012: double
              child 12, 910013: double
              child 13, 910014: double
              child 14, 910015: double
          child 1, sign_counts: struct<pos: int64, neg: int64, zero: int64>
              child 0, pos: int64
              child 1, neg: int64
              child 2, zero: int64
          child 2, median_lift: double
  child 2, LG-G3: struct<id: string, adjudicability_floor: int64, fired_n: int64, fired_fraction: double, unconditiona (... 141 chars omitted)
      child 0, id: string
      child 1, adjudicability_floor: int64
      child 2, fired_n: int64
      child 3, fired_fraction: double
      child 4, unconditional_334row_rate_companion: 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 5, disposition: string
      child 6, pass: null
repo_commit_sha: string
amendment_path: string
generation_date: string
experiment_slug: string
excluded: list<item: null>
  child 0, item: null
files: struct<llama-3.2-3b/specificity_summary.json: string>
  child 0, llama-3.2-3b/specificity_summary.json: string
license_gate_excluded: struct<>
shape: string
instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string>
  child 0, cell.yaml: string
  child 1, gates.yaml: string
sources_present: struct<>
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'llama-3.2-3b/specificity_summary.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
              stub: bool
              family: string
              hs_index: int64
              layer_name: string
              arm0_baseline: struct<confab: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>, k (... 97 chars omitted)
                child 0, confab: 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 1, known_correct: 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
              arm1_gated_replication: struct<confab: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>>
                child 0, confab: 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
              arm2_random_census: struct<910001: struct<n: int64, successes: int64, rate: double, wilson_ci_95: list<item: double>>, 9 (... 1286 chars omitted)
                child 0, 910001: 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: 
              ...
              e
                            child 11, 910012: double
                            child 12, 910013: double
                            child 13, 910014: double
                            child 14, 910015: double
                        child 1, sign_counts: struct<pos: int64, neg: int64, zero: int64>
                            child 0, pos: int64
                            child 1, neg: int64
                            child 2, zero: int64
                        child 2, median_lift: double
                child 2, LG-G3: struct<id: string, adjudicability_floor: int64, fired_n: int64, fired_fraction: double, unconditiona (... 141 chars omitted)
                    child 0, id: string
                    child 1, adjudicability_floor: int64
                    child 2, fired_n: int64
                    child 3, fired_fraction: double
                    child 4, unconditional_334row_rate_companion: 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 5, disposition: string
                    child 6, pass: null
              repo_commit_sha: string
              amendment_path: string
              generation_date: string
              experiment_slug: string
              excluded: list<item: null>
                child 0, item: null
              files: struct<llama-3.2-3b/specificity_summary.json: string>
                child 0, llama-3.2-3b/specificity_summary.json: string
              license_gate_excluded: struct<>
              shape: string
              instrument_config_sha256: struct<cell.yaml: string, gates.yaml: string>
                child 0, cell.yaml: string
                child 1, gates.yaml: string
              sources_present: struct<>
              to
              {'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'llama-3.2-3b/specificity_summary.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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llama-hs17-direction-specificity -- 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-llama-hs17-direction-specificity

Provenance

Experiment: experiments/llama-hs17-direction-specificity
Amendment: experiments/llama-hs17-direction-specificity/AMENDMENT.md
Repo commit SHA: 1063f5d38b26dea3c45aec39f5fcb1a345a69bc4
Generated: 2026-08-26T11:46:01.818597+00:00
Pinned instrument config sha256:
- cell.yaml: b5af1649a6434ebc219ccab6914053783c56979b1808b2cccd1f0567b876dfaa
- gates.yaml: 94ce682aefe9ef074b373962318f3699c414c3f753cfb94e0eeb7aee70148a22

File inventory

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

llama-3.2-3b: 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.

Downloads last month: 5

Total file size:

10.3 kB