Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
artifact_id: string
candidate_enhanced_cps_native_loss: double
enhanced_cps_native_loss_delta: double
manifest: string
policyengine_native_audit: string
policyengine_native_scores: string
policyengine_native_target_diagnostics: string
recorded_at: string
repo_id: string
repo_type: string
run_id: string
summary: struct<created_at: string, policyengine_native_audit: struct<largestRegressingFamily: string, larges (... 876 chars omitted)
child 0, created_at: string
child 1, policyengine_native_audit: struct<largestRegressingFamily: string, largestRegressingTarget: string, missingStoredCriticalInputs (... 152 chars omitted)
child 0, largestRegressingFamily: string
child 1, largestRegressingTarget: string
child 2, missingStoredCriticalInputs: list<item: string>
child 0, item: string
child 3, productionImputationVariant: null
child 4, productionImputationVariantIsMaeWinner: null
child 5, productionImputationVariantIsSupportWinner: null
child 2, policyengine_native_scores: struct<baseline_enhanced_cps_native_loss: double, baseline_unweighted_msre: double, candidate_beats_ (... 539 chars omitted)
child 0, baseline_enhanced_cps_native_loss: double
child 1, baseline_unweighted_msre: double
child 2, candidate_beats_baseline: bool
child 3, candidate_enhanced_cps_native_loss: double
child 4, candidate_unweighted_msre: double
child 5, enhanced_cps_native_loss_delta: double
child 6, loss_config: struct<baseline_weight_beta: double, bucket_epsilon_fraction: double, bucket_key: string, bucket_wei (... 73 chars omitted)
child 0, baseline_weight_beta: double
child 1, bucket_epsilon_fraction: double
child 2, bucket_key: string
child 3, bucket_weight_mode: string
child 4, huber_delta: double
child 5, penalty: string
child 6, residual: string
child 7, n_national_targets: int64
child 8, n_state_targets: int64
child 9, n_targets_bad_dropped: int64
child 10, n_targets_kept: int64
child 11, n_targets_total: int64
child 12, n_targets_zero_dropped: int64
child 13, target_scope_filter: null
child 14, unweighted_msre_delta: double
schema_version: int64
updated_at: string
paths: struct<manifest: string, policyengine_native_audit: string, policyengine_native_scores: string, poli (... 43 chars omitted)
child 0, manifest: string
child 1, policyengine_native_audit: string
child 2, policyengine_native_scores: string
child 3, policyengine_native_target_diagnostics: string
to
{'artifact_id': Value('string'), 'paths': {'manifest': Value('string'), 'policyengine_native_audit': Value('string'), 'policyengine_native_scores': Value('string'), 'policyengine_native_target_diagnostics': Value('string')}, 'repo_id': Value('string'), 'repo_type': Value('string'), 'run_id': Value('string'), 'schema_version': Value('int64'), 'summary': {'created_at': Value('string'), 'policyengine_native_audit': {'largestRegressingFamily': Value('string'), 'largestRegressingTarget': Value('string'), 'missingStoredCriticalInputs': List(Value('string')), 'productionImputationVariant': Value('null'), 'productionImputationVariantIsMaeWinner': Value('null'), 'productionImputationVariantIsSupportWinner': Value('null')}, 'policyengine_native_scores': {'baseline_enhanced_cps_native_loss': Value('float64'), 'baseline_unweighted_msre': Value('float64'), 'candidate_beats_baseline': Value('bool'), 'candidate_enhanced_cps_native_loss': Value('float64'), 'candidate_unweighted_msre': Value('float64'), 'enhanced_cps_native_loss_delta': Value('float64'), 'loss_config': {'baseline_weight_beta': Value('float64'), 'bucket_epsilon_fraction': Value('float64'), 'bucket_key': Value('string'), 'bucket_weight_mode': Value('string'), 'huber_delta': Value('float64'), 'penalty': Value('string'), 'residual': Value('string')}, 'n_national_targets': Value('int64'), 'n_state_targets': Value('int64'), 'n_targets_bad_dropped': Value('int64'), 'n_targets_kept': Value('int64'), 'n_targets_total': Value('int64'), 'n_targets_zero_dropped': Value('int64'), 'target_scope_filter': Value('null'), 'unweighted_msre_delta': Value('float64')}}, 'updated_at': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
artifact_id: string
candidate_enhanced_cps_native_loss: double
enhanced_cps_native_loss_delta: double
manifest: string
policyengine_native_audit: string
policyengine_native_scores: string
policyengine_native_target_diagnostics: string
recorded_at: string
repo_id: string
repo_type: string
run_id: string
summary: struct<created_at: string, policyengine_native_audit: struct<largestRegressingFamily: string, larges (... 876 chars omitted)
child 0, created_at: string
child 1, policyengine_native_audit: struct<largestRegressingFamily: string, largestRegressingTarget: string, missingStoredCriticalInputs (... 152 chars omitted)
child 0, largestRegressingFamily: string
child 1, largestRegressingTarget: string
child 2, missingStoredCriticalInputs: list<item: string>
child 0, item: string
child 3, productionImputationVariant: null
child 4, productionImputationVariantIsMaeWinner: null
child 5, productionImputationVariantIsSupportWinner: null
child 2, policyengine_native_scores: struct<baseline_enhanced_cps_native_loss: double, baseline_unweighted_msre: double, candidate_beats_ (... 539 chars omitted)
child 0, baseline_enhanced_cps_native_loss: double
child 1, baseline_unweighted_msre: double
child 2, candidate_beats_baseline: bool
child 3, candidate_enhanced_cps_native_loss: double
child 4, candidate_unweighted_msre: double
child 5, enhanced_cps_native_loss_delta: double
child 6, loss_config: struct<baseline_weight_beta: double, bucket_epsilon_fraction: double, bucket_key: string, bucket_wei (... 73 chars omitted)
child 0, baseline_weight_beta: double
child 1, bucket_epsilon_fraction: double
child 2, bucket_key: string
child 3, bucket_weight_mode: string
child 4, huber_delta: double
child 5, penalty: string
child 6, residual: string
child 7, n_national_targets: int64
child 8, n_state_targets: int64
child 9, n_targets_bad_dropped: int64
child 10, n_targets_kept: int64
child 11, n_targets_total: int64
child 12, n_targets_zero_dropped: int64
child 13, target_scope_filter: null
child 14, unweighted_msre_delta: double
schema_version: int64
updated_at: string
paths: struct<manifest: string, policyengine_native_audit: string, policyengine_native_scores: string, poli (... 43 chars omitted)
child 0, manifest: string
child 1, policyengine_native_audit: string
child 2, policyengine_native_scores: string
child 3, policyengine_native_target_diagnostics: string
to
{'artifact_id': Value('string'), 'paths': {'manifest': Value('string'), 'policyengine_native_audit': Value('string'), 'policyengine_native_scores': Value('string'), 'policyengine_native_target_diagnostics': Value('string')}, 'repo_id': Value('string'), 'repo_type': Value('string'), 'run_id': Value('string'), 'schema_version': Value('int64'), 'summary': {'created_at': Value('string'), 'policyengine_native_audit': {'largestRegressingFamily': Value('string'), 'largestRegressingTarget': Value('string'), 'missingStoredCriticalInputs': List(Value('string')), 'productionImputationVariant': Value('null'), 'productionImputationVariantIsMaeWinner': Value('null'), 'productionImputationVariantIsSupportWinner': Value('null')}, 'policyengine_native_scores': {'baseline_enhanced_cps_native_loss': Value('float64'), 'baseline_unweighted_msre': Value('float64'), 'candidate_beats_baseline': Value('bool'), 'candidate_enhanced_cps_native_loss': Value('float64'), 'candidate_unweighted_msre': Value('float64'), 'enhanced_cps_native_loss_delta': Value('float64'), 'loss_config': {'baseline_weight_beta': Value('float64'), 'bucket_epsilon_fraction': Value('float64'), 'bucket_key': Value('string'), 'bucket_weight_mode': Value('string'), 'huber_delta': Value('float64'), 'penalty': Value('string'), 'residual': Value('string')}, 'n_national_targets': Value('int64'), 'n_state_targets': Value('int64'), 'n_targets_bad_dropped': Value('int64'), 'n_targets_kept': Value('int64'), 'n_targets_total': Value('int64'), 'n_targets_zero_dropped': Value('int64'), 'target_scope_filter': Value('null'), 'unweighted_msre_delta': Value('float64')}}, 'updated_at': Value('string')}
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.
Microplex US Diagnostics
Stable diagnostics registry for Microplex-US artifact bundles.
Layout
runs/<run_id>/manifest.jsonruns/<run_id>/policyengine_native_scores.jsonruns/<run_id>/pe_us_data_rebuild_native_audit.jsonruns/<run_id>/pe_native_target_diagnostics.jsonlatest.jsonrun_registry.jsonl
The runs/<run_id>/... paths are immutable once published. latest.json and run_registry.jsonl are mutable discovery files.
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