The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
arm: string
eval_set: string
provenance: struct<source: string, metric: string, model: string, method: string, verified: bool, config_sha: st (... 5 chars omitted)
child 0, source: string
child 1, metric: string
child 2, model: string
child 3, method: string
child 4, verified: bool
child 5, config_sha: string
confidence_source: string
confidence_n_samples: int64
metrics: struct<n: int64, n_unknown_labeled: int64, n_known_labeled: int64, refusal_recall_pct: double, answe (... 161 chars omitted)
child 0, n: int64
child 1, n_unknown_labeled: int64
child 2, n_known_labeled: int64
child 3, refusal_recall_pct: double
child 4, answer_on_unknown_pct: double
child 5, over_refusal_pct: double
child 6, refusal_rate_pct: double
child 7, correct_on_known_pct: double
child 8, correct_on_unknown_pct: double
child 9, truthful_pct: double
counts: struct<n: int64, n_unknown_labeled: int64, n_known_labeled: int64, refuse_on_unknown: int64, refuse_ (... 110 chars omitted)
child 0, n: int64
child 1, n_unknown_labeled: int64
child 2, n_known_labeled: int64
child 3, refuse_on_unknown: int64
child 4, refuse_on_known: int64
child 5, answered_known: int64
child 6, correct_known: int64
child 7, answered_unknown: int64
child 8, correct_unknown: int64
accuracy_retention_pct: double
stated_confidence: struct<n: int64, n_with_confidence: int64, n_missing_confidence: int64, coverage_pct: double, mean_s (... 239 chars omitted)
child 0, n: int64
child 1, n
...
repo_commit_sha: string
files: struct<metrics_base_pplain__selfaware.json: string, metrics_base_prc__selfaware.json: string, metric (... 491 chars omitted)
child 0, metrics_base_pplain__selfaware.json: string
child 1, metrics_base_prc__selfaware.json: string
child 2, metrics_base_pstruct__selfaware.json: string
child 3, metrics_clean_sft_grpo_v2_seed1_pstruct__selfaware.json: string
child 4, metrics_clean_sft_merged_pstruct__selfaware.json: string
child 5, metrics_cold_dpo_seed1_prc__selfaware.json: string
child 6, metrics_cold_dpo_seed1_pstruct__selfaware.json: string
child 7, metrics_cold_grpo_seed1_pstruct__selfaware.json: string
child 8, metrics_cold_kto_seed1_prc__selfaware.json: string
child 9, metrics_cold_kto_seed1_pstruct__selfaware.json: string
child 10, metrics_cold_sft_seed1_pstruct__selfaware.json: string
experiment_slug: string
excluded: list<item: null>
child 0, item: null
shape: string
sources_present: struct<>
generation_date: string
amendment_path: string
license_gate_excluded: struct<>
instrument_config_sha256: struct<cell.yaml: string, configs/eval_panel_pplain_local_4b.yaml: string, configs/eval_panel_prc_lo (... 152 chars omitted)
child 0, cell.yaml: string
child 1, configs/eval_panel_pplain_local_4b.yaml: string
child 2, configs/eval_panel_prc_local_4b.yaml: string
child 3, configs/eval_panel_pstruct_cold_local_4b.yaml: string
child 4, configs/eval_panel_pstruct_warmed_local_4b.yaml: string
child 5, gates.yaml: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'metrics_base_pplain__selfaware.json': Value('string'), 'metrics_base_prc__selfaware.json': Value('string'), 'metrics_base_pstruct__selfaware.json': Value('string'), 'metrics_clean_sft_grpo_v2_seed1_pstruct__selfaware.json': Value('string'), 'metrics_clean_sft_merged_pstruct__selfaware.json': Value('string'), 'metrics_cold_dpo_seed1_prc__selfaware.json': Value('string'), 'metrics_cold_dpo_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_grpo_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_kto_seed1_prc__selfaware.json': Value('string'), 'metrics_cold_kto_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_sft_seed1_pstruct__selfaware.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'configs/eval_panel_pplain_local_4b.yaml': Value('string'), 'configs/eval_panel_prc_local_4b.yaml': Value('string'), 'configs/eval_panel_pstruct_cold_local_4b.yaml': Value('string'), 'configs/eval_panel_pstruct_warmed_local_4b.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
arm: string
eval_set: string
provenance: struct<source: string, metric: string, model: string, method: string, verified: bool, config_sha: st (... 5 chars omitted)
child 0, source: string
child 1, metric: string
child 2, model: string
child 3, method: string
child 4, verified: bool
child 5, config_sha: string
confidence_source: string
confidence_n_samples: int64
metrics: struct<n: int64, n_unknown_labeled: int64, n_known_labeled: int64, refusal_recall_pct: double, answe (... 161 chars omitted)
child 0, n: int64
child 1, n_unknown_labeled: int64
child 2, n_known_labeled: int64
child 3, refusal_recall_pct: double
child 4, answer_on_unknown_pct: double
child 5, over_refusal_pct: double
child 6, refusal_rate_pct: double
child 7, correct_on_known_pct: double
child 8, correct_on_unknown_pct: double
child 9, truthful_pct: double
counts: struct<n: int64, n_unknown_labeled: int64, n_known_labeled: int64, refuse_on_unknown: int64, refuse_ (... 110 chars omitted)
child 0, n: int64
child 1, n_unknown_labeled: int64
child 2, n_known_labeled: int64
child 3, refuse_on_unknown: int64
child 4, refuse_on_known: int64
child 5, answered_known: int64
child 6, correct_known: int64
child 7, answered_unknown: int64
child 8, correct_unknown: int64
accuracy_retention_pct: double
stated_confidence: struct<n: int64, n_with_confidence: int64, n_missing_confidence: int64, coverage_pct: double, mean_s (... 239 chars omitted)
child 0, n: int64
child 1, n
...
repo_commit_sha: string
files: struct<metrics_base_pplain__selfaware.json: string, metrics_base_prc__selfaware.json: string, metric (... 491 chars omitted)
child 0, metrics_base_pplain__selfaware.json: string
child 1, metrics_base_prc__selfaware.json: string
child 2, metrics_base_pstruct__selfaware.json: string
child 3, metrics_clean_sft_grpo_v2_seed1_pstruct__selfaware.json: string
child 4, metrics_clean_sft_merged_pstruct__selfaware.json: string
child 5, metrics_cold_dpo_seed1_prc__selfaware.json: string
child 6, metrics_cold_dpo_seed1_pstruct__selfaware.json: string
child 7, metrics_cold_grpo_seed1_pstruct__selfaware.json: string
child 8, metrics_cold_kto_seed1_prc__selfaware.json: string
child 9, metrics_cold_kto_seed1_pstruct__selfaware.json: string
child 10, metrics_cold_sft_seed1_pstruct__selfaware.json: string
experiment_slug: string
excluded: list<item: null>
child 0, item: null
shape: string
sources_present: struct<>
generation_date: string
amendment_path: string
license_gate_excluded: struct<>
instrument_config_sha256: struct<cell.yaml: string, configs/eval_panel_pplain_local_4b.yaml: string, configs/eval_panel_prc_lo (... 152 chars omitted)
child 0, cell.yaml: string
child 1, configs/eval_panel_pplain_local_4b.yaml: string
child 2, configs/eval_panel_prc_local_4b.yaml: string
child 3, configs/eval_panel_pstruct_cold_local_4b.yaml: string
child 4, configs/eval_panel_pstruct_warmed_local_4b.yaml: string
child 5, gates.yaml: string
to
{'amendment_path': Value('string'), 'excluded': List(Value('null')), 'experiment_slug': Value('string'), 'files': {'metrics_base_pplain__selfaware.json': Value('string'), 'metrics_base_prc__selfaware.json': Value('string'), 'metrics_base_pstruct__selfaware.json': Value('string'), 'metrics_clean_sft_grpo_v2_seed1_pstruct__selfaware.json': Value('string'), 'metrics_clean_sft_merged_pstruct__selfaware.json': Value('string'), 'metrics_cold_dpo_seed1_prc__selfaware.json': Value('string'), 'metrics_cold_dpo_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_grpo_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_kto_seed1_prc__selfaware.json': Value('string'), 'metrics_cold_kto_seed1_pstruct__selfaware.json': Value('string'), 'metrics_cold_sft_seed1_pstruct__selfaware.json': Value('string')}, 'generation_date': Value('string'), 'instrument_config_sha256': {'cell.yaml': Value('string'), 'configs/eval_panel_pplain_local_4b.yaml': Value('string'), 'configs/eval_panel_prc_local_4b.yaml': Value('string'), 'configs/eval_panel_pstruct_cold_local_4b.yaml': Value('string'), 'configs/eval_panel_pstruct_warmed_local_4b.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 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.
prompt-vs-training-panel -- 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-prompt-vs-training-panel
Provenance
- Experiment:
experiments/prompt-vs-training-panel - Amendment:
experiments/prompt-vs-training-panel/AMENDMENT.md - Repo commit SHA:
fab3cad66e9a4c9aa18cf737d48423dfeeacec66 - Generated:
2026-08-27T22:26:31.853241+00:00 - Pinned instrument config sha256:
cell.yaml:6ab13728b9f6867ff9d8ea63c8d308490ee3ba79822f7c4a91fb318933bb8eb3configs/eval_panel_pplain_local_4b.yaml:030e9c1f814d20219e54a526a644bff7c6e701a46a24d5d5ccf4be25a9c44659configs/eval_panel_prc_local_4b.yaml:7ae53fcdbbe76d8589b0799abcc1f682475824017c1b68e03f95e452263617c0configs/eval_panel_pstruct_cold_local_4b.yaml:ec81bd46bb3c5beae1a232e3221520aed2f0c8fb978ce0e108b75e6dcec07289configs/eval_panel_pstruct_warmed_local_4b.yaml:68ec1a299d37a9f091a4fa28d917fb1e1bc40e8976b4ab43f42f7464a317ee8bgates.yaml:fdee6209666da0da33e73350651b887a6de5964056a3cb8ddca9d033f6bc268a
File inventory
11 file(s) total, by top-level path:
metrics_base_pplain__selfaware.json: 1 file(s)metrics_base_prc__selfaware.json: 1 file(s)metrics_base_pstruct__selfaware.json: 1 file(s)metrics_clean_sft_grpo_v2_seed1_pstruct__selfaware.json: 1 file(s)metrics_clean_sft_merged_pstruct__selfaware.json: 1 file(s)metrics_cold_dpo_seed1_prc__selfaware.json: 1 file(s)metrics_cold_dpo_seed1_pstruct__selfaware.json: 1 file(s)metrics_cold_grpo_seed1_pstruct__selfaware.json: 1 file(s)metrics_cold_kto_seed1_prc__selfaware.json: 1 file(s)metrics_cold_kto_seed1_pstruct__selfaware.json: 1 file(s)metrics_cold_sft_seed1_pstruct__selfaware.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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