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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
Metadata_Identifiers: struct<transaction_id: string, timestamp_utc: string, complexity_level: string>
  child 0, transaction_id: string
  child 1, timestamp_utc: string
  child 2, complexity_level: string
Security_Auth: struct<device_ip: string, jwt_validation: string, kyc_aml_status: string>
  child 0, device_ip: string
  child 1, jwt_validation: string
  child 2, kyc_aml_status: string
Transaction_Intent: struct<origin_entity: string, destination_entity: string, base_amount: double, currency: string, sou (... 354 chars omitted)
  child 0, origin_entity: string
  child 1, destination_entity: string
  child 2, base_amount: double
  child 3, currency: string
  child 4, source_account_id: string
  child 5, destination_account_id: string
  child 6, amount: int64
  child 7, payment_type: string
  child 8, memo: string
  child 9, source_account: string
  child 10, destination_account: string
  child 11, payment_rail: string
  child 12, requested_amount: int64
  child 13, requested_currency: string
  child 14, settlement_type: string
  child 15, execution_priority: string
  child 16, debtor_iban: string
  child 17, creditor_iban: string
  child 18, transfer_type: string
Ledger_State_Pre_Execution: struct<sender_account_balance: double, database_lock_applied: bool>
  child 0, sender_account_balance: double
  child 1, database_lock_applied: bool
Agentic_Reasoning_Trace: list<item: string>
  child 0, item: string
Network_API_Logs: struct<primary_gateway_used: string, http_status_code:
...
 error_encountered:  (... 7 chars omitted)
  child 0, primary_gateway_used: string
  child 1, http_status_code: int64
  child 2, latency_ms: int64
  child 3, error_encountered: string
Financial_Resolution: struct<gross_amount: double, taxes_applied: struct<type: string, amount: double>, routing_fees: doub (... 492 chars omitted)
  child 0, gross_amount: double
  child 1, taxes_applied: struct<type: string, amount: double>
      child 0, type: string
      child 1, amount: double
  child 2, routing_fees: double
  child 3, net_convertible: double
  child 4, fx_rate_applied: double
  child 5, final_disbursement: double
  child 6, status: string
  child 7, clearing_reference: string
  child 8, settlement_timestamp: string
  child 9, fee_assessed: int64
  child 10, applied_fee: double
  child 11, settlement_timestamp_utc: string
  child 12, execution_status: string
  child 13, settlement_fee: double
  child 14, settled_at: string
  child 15, applied_fx_rate: double
  child 16, debited_amount_usd: int64
  child 17, credited_amount_eur: double
  child 18, transaction_fee_usd: int64
  child 19, settlement_reference: string
  child 20, settlement_status: string
  child 21, interchange_fee: double
Ledger_State_Post_Execution: struct<sender_account_balance_updated: double, settlement_status: string>
  child 0, sender_account_balance_updated: double
  child 1, settlement_status: string
Metadata: null
Final Output: string
Instruction: string
Context: string
Reasoned Action Summary: string
to
{'Instruction': Value('string'), 'Context': Value('string'), 'Reasoned Action Summary': Value('string'), 'Final Output': Value('string'), 'Metadata': Json(decode=True)}
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
              Metadata_Identifiers: struct<transaction_id: string, timestamp_utc: string, complexity_level: string>
                child 0, transaction_id: string
                child 1, timestamp_utc: string
                child 2, complexity_level: string
              Security_Auth: struct<device_ip: string, jwt_validation: string, kyc_aml_status: string>
                child 0, device_ip: string
                child 1, jwt_validation: string
                child 2, kyc_aml_status: string
              Transaction_Intent: struct<origin_entity: string, destination_entity: string, base_amount: double, currency: string, sou (... 354 chars omitted)
                child 0, origin_entity: string
                child 1, destination_entity: string
                child 2, base_amount: double
                child 3, currency: string
                child 4, source_account_id: string
                child 5, destination_account_id: string
                child 6, amount: int64
                child 7, payment_type: string
                child 8, memo: string
                child 9, source_account: string
                child 10, destination_account: string
                child 11, payment_rail: string
                child 12, requested_amount: int64
                child 13, requested_currency: string
                child 14, settlement_type: string
                child 15, execution_priority: string
                child 16, debtor_iban: string
                child 17, creditor_iban: string
                child 18, transfer_type: string
              Ledger_State_Pre_Execution: struct<sender_account_balance: double, database_lock_applied: bool>
                child 0, sender_account_balance: double
                child 1, database_lock_applied: bool
              Agentic_Reasoning_Trace: list<item: string>
                child 0, item: string
              Network_API_Logs: struct<primary_gateway_used: string, http_status_code:
              ...
               error_encountered:  (... 7 chars omitted)
                child 0, primary_gateway_used: string
                child 1, http_status_code: int64
                child 2, latency_ms: int64
                child 3, error_encountered: string
              Financial_Resolution: struct<gross_amount: double, taxes_applied: struct<type: string, amount: double>, routing_fees: doub (... 492 chars omitted)
                child 0, gross_amount: double
                child 1, taxes_applied: struct<type: string, amount: double>
                    child 0, type: string
                    child 1, amount: double
                child 2, routing_fees: double
                child 3, net_convertible: double
                child 4, fx_rate_applied: double
                child 5, final_disbursement: double
                child 6, status: string
                child 7, clearing_reference: string
                child 8, settlement_timestamp: string
                child 9, fee_assessed: int64
                child 10, applied_fee: double
                child 11, settlement_timestamp_utc: string
                child 12, execution_status: string
                child 13, settlement_fee: double
                child 14, settled_at: string
                child 15, applied_fx_rate: double
                child 16, debited_amount_usd: int64
                child 17, credited_amount_eur: double
                child 18, transaction_fee_usd: int64
                child 19, settlement_reference: string
                child 20, settlement_status: string
                child 21, interchange_fee: double
              Ledger_State_Post_Execution: struct<sender_account_balance_updated: double, settlement_status: string>
                child 0, sender_account_balance_updated: double
                child 1, settlement_status: string
              Metadata: null
              Final Output: string
              Instruction: string
              Context: string
              Reasoned Action Summary: string
              to
              {'Instruction': Value('string'), 'Context': Value('string'), 'Reasoned Action Summary': Value('string'), 'Final Output': Value('string'), 'Metadata': Json(decode=True)}
              because column names don't match

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YAML Metadata Warning:empty or missing yaml metadata in repo card

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πŸš€ Financial Agentic AI Data - Enterprise Evaluation Suites

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