Datasets:

---

ziyan98

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bazaarbench-analysis-v2-inputs

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
accepted_offer_id: int64
accepted_price_cents: int64
acquisition_cost_cents: int64
acquisition_cost_observed: bool
buyer_agent_id: int64
buyer_inspected_quality_pct: int64
buyer_treated: bool
commit_tick: int64
completion_event_id: int64
completion_tick: int64
consumed_id: string
create_backing_id: string
delivery_evidence_basis: string
delivery_method: string
eta_tick: int64
fraud_event_id: int64
fraud_tick: int64
ground_truth_quality_pct: int64
handoff_proof_present: bool
handoff_proof_verified: bool
inspection_event_id: int64
inspection_observed: bool
inspection_tick: int64
inventory_asking_reference_cents: int64
inventory_unit_id: string
is_speculative: bool
link_confidence: string
listing_asking_price_cents: int64
listing_id: int64
meetup_id: int64
payment_method: string
platform_completion_at_or_after_eta: bool
platform_completion_at_or_after_scheduled_meetup: bool
platform_completion_before_eta: bool
platform_completion_before_scheduled_meetup: bool
platform_completion_observed: bool
post_commit_message_count: int64
price_observed: bool
reference_price_observed: bool
resolution_status: string
resolution_tick: int64
schedule_tick: int64
scheduled_meetup_tick: int64
seller_agent_id: int64
seller_treated: bool
settled_price_cents: int64
thread_id: int64
treated_party_ids: list<item: int64>
  child 0, item: int64
manifest_path: string
independent_record_count: int64
canonical_dataset: string
physical_record_count: int64
schema_version: int64
manifest_sha256: string
cells: list<item: struct<cell_id: string, db_path: string, source: string, base_model_key: string, treatmen (... 278 chars omitted)
  child 0, item: struct<cell_id: string, db_path: string, source: string, base_model_key: string, treatment_model_key (... 266 chars omitted)
      child 0, cell_id: string
      child 1, db_path: string
      child 2, source: string
      child 3, base_model_key: string
      child 4, treatment_model_key: string
      child 5, regime: string
      child 6, start_tick_exclusive: int64
      child 7, end_tick_inclusive: int64
      child 8, treated_agent_ids: list<item: int64>
          child 0, item: int64
      child 9, paired_base_db: string
      child 10, pressure_side: string
      child 11, include_in_main_matrix: bool
      child 12, is_starting_market: bool
      child 13, duplicate_of: string
      child 14, horizon_ticks: int64
to
{'schema_version': Value('int64'), 'manifest_path': Value('string'), 'canonical_dataset': Value('string'), 'manifest_sha256': Value('string'), 'physical_record_count': Value('int64'), 'independent_record_count': Value('int64'), 'cells': List({'cell_id': Value('string'), 'db_path': Value('string'), 'source': Value('string'), 'base_model_key': Value('string'), 'treatment_model_key': Value('string'), 'regime': Value('string'), 'start_tick_exclusive': Value('int64'), 'end_tick_inclusive': Value('int64'), 'treated_agent_ids': List(Value('int64')), 'paired_base_db': Value('string'), 'pressure_side': Value('string'), 'include_in_main_matrix': Value('bool'), 'is_starting_market': Value('bool'), 'duplicate_of': Value('string'), 'horizon_ticks': Value('int64')})}
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
              accepted_offer_id: int64
              accepted_price_cents: int64
              acquisition_cost_cents: int64
              acquisition_cost_observed: bool
              buyer_agent_id: int64
              buyer_inspected_quality_pct: int64
              buyer_treated: bool
              commit_tick: int64
              completion_event_id: int64
              completion_tick: int64
              consumed_id: string
              create_backing_id: string
              delivery_evidence_basis: string
              delivery_method: string
              eta_tick: int64
              fraud_event_id: int64
              fraud_tick: int64
              ground_truth_quality_pct: int64
              handoff_proof_present: bool
              handoff_proof_verified: bool
              inspection_event_id: int64
              inspection_observed: bool
              inspection_tick: int64
              inventory_asking_reference_cents: int64
              inventory_unit_id: string
              is_speculative: bool
              link_confidence: string
              listing_asking_price_cents: int64
              listing_id: int64
              meetup_id: int64
              payment_method: string
              platform_completion_at_or_after_eta: bool
              platform_completion_at_or_after_scheduled_meetup: bool
              platform_completion_before_eta: bool
              platform_completion_before_scheduled_meetup: bool
              platform_completion_observed: bool
              post_commit_message_count: int64
              price_observed: bool
              reference_price_observed: bool
              resolution_status: string
              resolution_tick: int64
              schedule_tick: int64
              scheduled_meetup_tick: int64
              seller_agent_id: int64
              seller_treated: bool
              settled_price_cents: int64
              thread_id: int64
              treated_party_ids: list<item: int64>
                child 0, item: int64
              manifest_path: string
              independent_record_count: int64
              canonical_dataset: string
              physical_record_count: int64
              schema_version: int64
              manifest_sha256: string
              cells: list<item: struct<cell_id: string, db_path: string, source: string, base_model_key: string, treatmen (... 278 chars omitted)
                child 0, item: struct<cell_id: string, db_path: string, source: string, base_model_key: string, treatment_model_key (... 266 chars omitted)
                    child 0, cell_id: string
                    child 1, db_path: string
                    child 2, source: string
                    child 3, base_model_key: string
                    child 4, treatment_model_key: string
                    child 5, regime: string
                    child 6, start_tick_exclusive: int64
                    child 7, end_tick_inclusive: int64
                    child 8, treated_agent_ids: list<item: int64>
                        child 0, item: int64
                    child 9, paired_base_db: string
                    child 10, pressure_side: string
                    child 11, include_in_main_matrix: bool
                    child 12, is_starting_market: bool
                    child 13, duplicate_of: string
                    child 14, horizon_ticks: int64
              to
              {'schema_version': Value('int64'), 'manifest_path': Value('string'), 'canonical_dataset': Value('string'), 'manifest_sha256': Value('string'), 'physical_record_count': Value('int64'), 'independent_record_count': Value('int64'), 'cells': List({'cell_id': Value('string'), 'db_path': Value('string'), 'source': Value('string'), 'base_model_key': Value('string'), 'treatment_model_key': Value('string'), 'regime': Value('string'), 'start_tick_exclusive': Value('int64'), 'end_tick_inclusive': Value('int64'), 'treated_agent_ids': List(Value('int64')), 'paired_base_db': Value('string'), 'pressure_side': Value('string'), 'include_in_main_matrix': Value('bool'), 'is_starting_market': Value('bool'), 'duplicate_of': Value('string'), 'horizon_ticks': Value('int64')})}
              because column names don't match