The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
cell: string
n_applied_rows: int64
pooled_verdict: struct<decoy_agreement_floor: double, decoy_agreement_pass: bool, decoy_agreement_rate: double, deco (... 259 chars omitted)
child 0, decoy_agreement_floor: double
child 1, decoy_agreement_pass: bool
child 2, decoy_agreement_rate: double
child 3, decoy_count_pass: bool
child 4, disagreement_floor: double
child 5, disagreement_pass: bool
child 6, disagreement_rate: double
child 7, min_decoys: int64
child 8, n_core_total: int64
child 9, n_decoy_agree_total: int64
child 10, n_decoy_clear_positive_total: int64
child 11, n_disagree_total: int64
child 12, passed: bool
child 13, status: string
shards: struct<form_taxonomy_shard_00: struct<decoy_agreement_rate: double, disagreement_rate: double, n_cor (... 682 chars omitted)
child 0, form_taxonomy_shard_00: struct<decoy_agreement_rate: double, disagreement_rate: double, n_core: int64, n_decoy_agree: int64, (... 68 chars omitted)
child 0, decoy_agreement_rate: double
child 1, disagreement_rate: double
child 2, n_core: int64
child 3, n_decoy_agree: int64
child 4, n_decoy_clear_positive: int64
child 5, n_disagree: int64
child 6, shard_id: string
child 1, form_taxonomy_shard_01: struct<decoy_agreement_rate: double, disagreement_rate: double, n_core: int64, n_decoy_agree: int64, (... 68 chars omitted)
child 0, decoy_agreement_rate: double
child 1, disagreement_rate: double
child 2, n_core: int64
...
: int64
child 6, shard_id: string
generation_date: string
files: struct<form_adjudication_applied_manifest.json: string, form_adjudication_graded_manifest.json: stri (... 210 chars omitted)
child 0, form_adjudication_applied_manifest.json: string
child 1, form_adjudication_graded_manifest.json: string
child 2, form_adjudication_pool_manifest.json: string
child 3, populations/p_confab_ids.json: string
child 4, populations/p_known_ids.json: string
child 5, populations/p_known_spop_split.json: string
child 6, populations/p_refuse_ids.json: string
amendment_path: string
instrument_config_sha256: struct<apply_form_adjudication.py: string, build_form_adjudication_pool.py: string, cell.yaml: strin (... 328 chars omitted)
child 0, apply_form_adjudication.py: string
child 1, build_form_adjudication_pool.py: string
child 2, cell.yaml: string
child 3, detector_v2.py: string
child 4, detector_v2_patterns.yaml: string
child 5, form_patterns.yaml: string
child 6, form_taxonomy.py: string
child 7, gates.yaml: string
child 8, gen_lib.py: string
child 9, grader.py: string
child 10, materialize_rows.py: string
child 11, pipeline.py: string
child 12, render.py: string
child 13, run_arm_a_form_pass.py: string
child 14, steer_lib.py: string
child 15, test_form_taxonomy.py: string
repo_commit_sha: string
experiment_slug: string
excluded: list<item: null>
child 0, item: null
sources_present: struct<>
shape: string
license_gate_excluded: struct<>
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'form_adjudication_applied_manifest.json': Value('string'), 'form_adjudication_graded_manifest.json': Value('string'), 'form_adjudication_pool_manifest.json': Value('string'), 'populations/p_confab_ids.json': Value('string'), 'populations/p_known_ids.json': Value('string'), 'populations/p_known_spop_split.json': Value('string'), 'populations/p_refuse_ids.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_form_adjudication.py': Value('string'), 'build_form_adjudication_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'form_patterns.yaml': Value('string'), 'form_taxonomy.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'run_arm_a_form_pass.py': Value('string'), 'steer_lib.py': Value('string'), 'test_form_taxonomy.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
cell: string
n_applied_rows: int64
pooled_verdict: struct<decoy_agreement_floor: double, decoy_agreement_pass: bool, decoy_agreement_rate: double, deco (... 259 chars omitted)
child 0, decoy_agreement_floor: double
child 1, decoy_agreement_pass: bool
child 2, decoy_agreement_rate: double
child 3, decoy_count_pass: bool
child 4, disagreement_floor: double
child 5, disagreement_pass: bool
child 6, disagreement_rate: double
child 7, min_decoys: int64
child 8, n_core_total: int64
child 9, n_decoy_agree_total: int64
child 10, n_decoy_clear_positive_total: int64
child 11, n_disagree_total: int64
child 12, passed: bool
child 13, status: string
shards: struct<form_taxonomy_shard_00: struct<decoy_agreement_rate: double, disagreement_rate: double, n_cor (... 682 chars omitted)
child 0, form_taxonomy_shard_00: struct<decoy_agreement_rate: double, disagreement_rate: double, n_core: int64, n_decoy_agree: int64, (... 68 chars omitted)
child 0, decoy_agreement_rate: double
child 1, disagreement_rate: double
child 2, n_core: int64
child 3, n_decoy_agree: int64
child 4, n_decoy_clear_positive: int64
child 5, n_disagree: int64
child 6, shard_id: string
child 1, form_taxonomy_shard_01: struct<decoy_agreement_rate: double, disagreement_rate: double, n_core: int64, n_decoy_agree: int64, (... 68 chars omitted)
child 0, decoy_agreement_rate: double
child 1, disagreement_rate: double
child 2, n_core: int64
...
: int64
child 6, shard_id: string
generation_date: string
files: struct<form_adjudication_applied_manifest.json: string, form_adjudication_graded_manifest.json: stri (... 210 chars omitted)
child 0, form_adjudication_applied_manifest.json: string
child 1, form_adjudication_graded_manifest.json: string
child 2, form_adjudication_pool_manifest.json: string
child 3, populations/p_confab_ids.json: string
child 4, populations/p_known_ids.json: string
child 5, populations/p_known_spop_split.json: string
child 6, populations/p_refuse_ids.json: string
amendment_path: string
instrument_config_sha256: struct<apply_form_adjudication.py: string, build_form_adjudication_pool.py: string, cell.yaml: strin (... 328 chars omitted)
child 0, apply_form_adjudication.py: string
child 1, build_form_adjudication_pool.py: string
child 2, cell.yaml: string
child 3, detector_v2.py: string
child 4, detector_v2_patterns.yaml: string
child 5, form_patterns.yaml: string
child 6, form_taxonomy.py: string
child 7, gates.yaml: string
child 8, gen_lib.py: string
child 9, grader.py: string
child 10, materialize_rows.py: string
child 11, pipeline.py: string
child 12, render.py: string
child 13, run_arm_a_form_pass.py: string
child 14, steer_lib.py: string
child 15, test_form_taxonomy.py: string
repo_commit_sha: string
experiment_slug: string
excluded: list<item: null>
child 0, item: null
sources_present: struct<>
shape: string
license_gate_excluded: struct<>
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'form_adjudication_applied_manifest.json': Value('string'), 'form_adjudication_graded_manifest.json': Value('string'), 'form_adjudication_pool_manifest.json': Value('string'), 'populations/p_confab_ids.json': Value('string'), 'populations/p_known_ids.json': Value('string'), 'populations/p_known_spop_split.json': Value('string'), 'populations/p_refuse_ids.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'apply_form_adjudication.py': Value('string'), 'build_form_adjudication_pool.py': Value('string'), 'cell.yaml': Value('string'), 'detector_v2.py': Value('string'), 'detector_v2_patterns.yaml': Value('string'), 'form_patterns.yaml': Value('string'), 'form_taxonomy.py': Value('string'), 'gates.yaml': Value('string'), 'gen_lib.py': Value('string'), 'grader.py': Value('string'), 'materialize_rows.py': Value('string'), 'pipeline.py': Value('string'), 'render.py': Value('string'), 'run_arm_a_form_pass.py': Value('string'), 'steer_lib.py': Value('string'), 'test_form_taxonomy.py': Value('string')}, 'license_gate_excluded': {}, 'repo_commit_sha': Value('string'), 'shape': Value('string'), 'sources_present': {}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
write-direction-naming-battery -- 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-write-direction-naming-battery
Provenance
- Experiment:
experiments/write-direction-naming-battery - Amendment:
experiments/write-direction-naming-battery/AMENDMENT.md - Repo commit SHA:
37eaa399bb4a7ce999e63d8b202d5c084f599fa6 - Generated:
2026-08-28T00:14:34.001756+00:00 - Pinned instrument config sha256:
apply_form_adjudication.py:d550b5bbe2f7b4022d765dae6cb04050b9fbd738364753c448643686430ecfbabuild_form_adjudication_pool.py:18280d2fdc298ec33b287e182a4ac9cd377ad8ee92ac35e8bcd0f521a80a3672cell.yaml:ec3c438a614a0b1c2a00f74e28ae71274665e58aa40c8fd159cbf96679fbac23detector_v2.py:40fc4756fe8d696eb9d2be3ca39f3ec66dbae42965292e13c44e30208a1d1da4detector_v2_patterns.yaml:36422e01ae03008c2f71f180158c63950e14f8dfc1279c4e654c89fb831841d9form_patterns.yaml:839007f90fcbd0f90a8a2ba1b58bc57c197c352be8d8b84052802f35afe257acform_taxonomy.py:27a3ee11d3440ae2e7c0aa0c46b66a8853d2d01a7e8b9a77c5f32de6caa0241fgates.yaml:e4561a788326cf11065d3ea70b3aaf1f62ba87f2766bf8d8c2e3a166b12fd462gen_lib.py:d881b287b8a495f28d30fac0fb9caaf3230fdedf17a04317725a102eb077967fgrader.py:920800adb5f7c0b1b957edb19668085c0a2b45792781ba1c768a23b4d728b7a4materialize_rows.py:fcf1c7be1a30fc836d80fbe1d2d48abc118f3a49103c978c968910a79f898538pipeline.py:cce96d9df75877e791e61c115b2028fe359871c77d2a6ec4769a227ce6078614render.py:6230655a91b9c94d4b380d710f29304e433d0075aff5ac100d3f3c4e1e5639c7run_arm_a_form_pass.py:fba2e569831c7382cfca74361b47cf7c667f147ebc37ae84ce29f5f643ee4af2steer_lib.py:edc25a1721e43c0d8644fa6178439a057fd1da2ba2929d4bc9ab8d782e572890test_form_taxonomy.py:1c9c650bbc77da61a9808604236405d47c97fc74685563a2805b77a489a68cd9
File inventory
7 file(s) total, by top-level path:
form_adjudication_applied_manifest.json: 1 file(s)form_adjudication_graded_manifest.json: 1 file(s)form_adjudication_pool_manifest.json: 1 file(s)populations: 4 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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