Datasets:

---

mbarbosa1

/

flatplanet

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
snapshot_id: string
row_id: int64
model_uid: string
family: string
scope: string
domain: string
channel: string
bucket_start: timestamp[s]
bucket_hours: int64
cutoff_at: timestamp[s]
evidence_origin: string
state_available_at_cutoff: bool
peer_context_available: bool
support_n: int64
model_error: double
baseline_error: double
support_set_id: string
mae: double
bias: double
rmse: double
skill_log_ratio: double
skill_vs_baseline: double
validity_margin: double
dispersion: null
coverage: int64
calibration_gap: double
state: string
episode_uid: string
uncertainty_origin: string
feature_dependencies: string
coverage_ancestry: string
calibration_gap_ancestry: string
producer_uncertainty_available: bool
flatplanet_calibrated_interval_available: bool
calibrator_version: null
calibrator_training_cutoff: null
self_only_admissible: bool
input_coverage: null
missing_input_fraction: null
abstentions: int64
observation_age_hours: int64
comparison_set_id: null
comparison_set_version: null
peer_roster_hash: null
peer_member_ids: list<item: null>
  child 0, item: null
peer_count: int64
peer_family_count: int64
peer_mean_error: double
peer_spread: double
peer_deviation: double
peer_fraction_deteriorating: double
information_cutoff: null
peer_state_available_at: null
target_24h_available: bool
target_24h_missing_reason: null
target_24h_min_skill_log_ratio: double
target_24h_worst_skill_change: double
target_24h_min_margin: double
target_24h_worst_margin_change: double
target_24h_validity_breach
...

      child 3, distinctModels: int64
      child 4, evidenceOrigin: struct<reconstructed_asof: int64>
          child 0, reconstructed_asof: int64
      child 5, peerContextRows: int64
      child 6, resolvedReceipts: int64
      child 7, observableStateWindows: int64
      child 8, eligibleValidationModelDays: int64
      child 9, windowsWithCompleteTarget24h: int64
  child 13, manifest: struct<huggingface: struct<repo: string, revision: string, publishedAt: string, revisionUrl: string> (... 1 chars omitted)
      child 0, huggingface: struct<repo: string, revision: string, publishedAt: string, revisionUrl: string>
          child 0, repo: string
          child 1, revision: string
          child 2, publishedAt: string
          child 3, revisionUrl: string
  child 14, error_message: null
  child 15, started_at: string
  child 16, published_at: string
  child 17, created_at: string
  child 18, updated_at: string
files: list<item: struct<id: int64, snapshot_id: string, kind: string, path: string, url: null, bytes: int6 (... 78 chars omitted)
  child 0, item: struct<id: int64, snapshot_id: string, kind: string, path: string, url: null, bytes: int64, rows: in (... 66 chars omitted)
      child 0, id: int64
      child 1, snapshot_id: string
      child 2, kind: string
      child 3, path: string
      child 4, url: null
      child 5, bytes: int64
      child 6, rows: int64
      child 7, sha256: string
      child 8, content_encoding: string
      child 9, created_at: string
to
{'snapshot': {'snapshot_id': Value('string'), 'status': Value('string'), 'snapshot_kind': Value('string'), 'schema_version': Value('string'), 'feature_definition_version': Value('string'), 'target_definition_version': Value('string'), 'split_definition_version': Value('string'), 'validity_definition_version': Value('string'), 'ancestry_definition_version': Value('string'), 'built_from_max_evidence_at': Value('timestamp[s]'), 'row_count': Value('int64'), 'content_sha256': Value('string'), 'census': {'ancestry': {'none': Value('int64'), 'native_ensemble': Value('int64'), 'cross_model_spread': Value('int64'), 'self_residual_calibration': Value('int64')}, 'rawReceipts': Value('int64'), 'splitCounts': {'test': Value('int64'), 'purge': Value('int64'), 'train': Value('int64'), 'validation': Value('int64'), 'holdout_model': Value('int64'), 'quarantine_episode': Value('int64')}, 'distinctModels': Value('int64'), 'evidenceOrigin': {'reconstructed_asof': Value('int64')}, 'peerContextRows': Value('int64'), 'resolvedReceipts': Value('int64'), 'observableStateWindows': Value('int64'), 'eligibleValidationModelDays': Value('int64'), 'windowsWithCompleteTarget24h': Value('int64')}, 'manifest': {'huggingface': {'repo': Value('string'), 'revision': Value('string'), 'publishedAt': Value('string'), 'revisionUrl': Value('string')}}, 'error_message': Value('null'), 'started_at': Value('string'), 'published_at': Value('string'), 'created_at': Value('string'), 'updated_at': Value('string')}, 'files': List({'id': Value('int64'), 'snapshot_id': Value('string'), 'kind': Value('string'), 'path': Value('string'), 'url': Value('null'), 'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string'), 'content_encoding': Value('string'), 'created_at': Value('string')})}
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              snapshot_id: string
              row_id: int64
              model_uid: string
              family: string
              scope: string
              domain: string
              channel: string
              bucket_start: timestamp[s]
              bucket_hours: int64
              cutoff_at: timestamp[s]
              evidence_origin: string
              state_available_at_cutoff: bool
              peer_context_available: bool
              support_n: int64
              model_error: double
              baseline_error: double
              support_set_id: string
              mae: double
              bias: double
              rmse: double
              skill_log_ratio: double
              skill_vs_baseline: double
              validity_margin: double
              dispersion: null
              coverage: int64
              calibration_gap: double
              state: string
              episode_uid: string
              uncertainty_origin: string
              feature_dependencies: string
              coverage_ancestry: string
              calibration_gap_ancestry: string
              producer_uncertainty_available: bool
              flatplanet_calibrated_interval_available: bool
              calibrator_version: null
              calibrator_training_cutoff: null
              self_only_admissible: bool
              input_coverage: null
              missing_input_fraction: null
              abstentions: int64
              observation_age_hours: int64
              comparison_set_id: null
              comparison_set_version: null
              peer_roster_hash: null
              peer_member_ids: list<item: null>
                child 0, item: null
              peer_count: int64
              peer_family_count: int64
              peer_mean_error: double
              peer_spread: double
              peer_deviation: double
              peer_fraction_deteriorating: double
              information_cutoff: null
              peer_state_available_at: null
              target_24h_available: bool
              target_24h_missing_reason: null
              target_24h_min_skill_log_ratio: double
              target_24h_worst_skill_change: double
              target_24h_min_margin: double
              target_24h_worst_margin_change: double
              target_24h_validity_breach
              ...
              
                    child 3, distinctModels: int64
                    child 4, evidenceOrigin: struct<reconstructed_asof: int64>
                        child 0, reconstructed_asof: int64
                    child 5, peerContextRows: int64
                    child 6, resolvedReceipts: int64
                    child 7, observableStateWindows: int64
                    child 8, eligibleValidationModelDays: int64
                    child 9, windowsWithCompleteTarget24h: int64
                child 13, manifest: struct<huggingface: struct<repo: string, revision: string, publishedAt: string, revisionUrl: string> (... 1 chars omitted)
                    child 0, huggingface: struct<repo: string, revision: string, publishedAt: string, revisionUrl: string>
                        child 0, repo: string
                        child 1, revision: string
                        child 2, publishedAt: string
                        child 3, revisionUrl: string
                child 14, error_message: null
                child 15, started_at: string
                child 16, published_at: string
                child 17, created_at: string
                child 18, updated_at: string
              files: list<item: struct<id: int64, snapshot_id: string, kind: string, path: string, url: null, bytes: int6 (... 78 chars omitted)
                child 0, item: struct<id: int64, snapshot_id: string, kind: string, path: string, url: null, bytes: int64, rows: in (... 66 chars omitted)
                    child 0, id: int64
                    child 1, snapshot_id: string
                    child 2, kind: string
                    child 3, path: string
                    child 4, url: null
                    child 5, bytes: int64
                    child 6, rows: int64
                    child 7, sha256: string
                    child 8, content_encoding: string
                    child 9, created_at: string
              to
              {'snapshot': {'snapshot_id': Value('string'), 'status': Value('string'), 'snapshot_kind': Value('string'), 'schema_version': Value('string'), 'feature_definition_version': Value('string'), 'target_definition_version': Value('string'), 'split_definition_version': Value('string'), 'validity_definition_version': Value('string'), 'ancestry_definition_version': Value('string'), 'built_from_max_evidence_at': Value('timestamp[s]'), 'row_count': Value('int64'), 'content_sha256': Value('string'), 'census': {'ancestry': {'none': Value('int64'), 'native_ensemble': Value('int64'), 'cross_model_spread': Value('int64'), 'self_residual_calibration': Value('int64')}, 'rawReceipts': Value('int64'), 'splitCounts': {'test': Value('int64'), 'purge': Value('int64'), 'train': Value('int64'), 'validation': Value('int64'), 'holdout_model': Value('int64'), 'quarantine_episode': Value('int64')}, 'distinctModels': Value('int64'), 'evidenceOrigin': {'reconstructed_asof': Value('int64')}, 'peerContextRows': Value('int64'), 'resolvedReceipts': Value('int64'), 'observableStateWindows': Value('int64'), 'eligibleValidationModelDays': Value('int64'), 'windowsWithCompleteTarget24h': Value('int64')}, 'manifest': {'huggingface': {'repo': Value('string'), 'revision': Value('string'), 'publishedAt': Value('string'), 'revisionUrl': Value('string')}}, 'error_message': Value('null'), 'started_at': Value('string'), 'published_at': Value('string'), 'created_at': Value('string'), 'updated_at': Value('string')}, 'files': List({'id': Value('int64'), 'snapshot_id': Value('string'), 'kind': Value('string'), 'path': Value('string'), 'url': Value('null'), 'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string'), 'content_encoding': Value('string'), 'created_at': Value('string')})}
              because column names don't match