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
cik: int64
adsh: string
url: string
assetTypeNumber: string
assetNumber: int64
reportingPeriodBeginningDate: timestamp[ns]
reportingPeriodEndingDate: timestamp[ns]
originatorName: string
originationDate: timestamp[ns]
originalLoanAmount: double
originalLoanTerm: int64
loanMaturityDate: timestamp[ns]
originalInterestRatePercentage: double
interestCalculationTypeCode: int64
originalInterestRateTypeCode: int64
originalInterestOnlyTermNumber: int64
originalFirstPaymentDate: timestamp[ns]
underwritingIndicator: bool
gracePeriodNumber: int64
paymentTypeCode: int64
subvented: int64
vehicleManufacturerName: string
vehicleModelName: string
vehicleNewUsedCode: int64
vehicleModelYear: int64
vehicleTypeCode: int64
vehicleValueAmount: double
vehicleValueSourceCode: int64
obligorCreditScoreType: string
obligorCreditScore: int64
obligorIncomeVerificationLevelCode: int64
obligorEmploymentVerificationCode: int64
coObligorIndicator: bool
paymentToIncomePercentage: double
obligorGeographicLocation: string
assetAddedIndicator: bool
remainingTermToMaturityNumber: int64
reportingPeriodModificationIndicator: bool
servicingAdvanceMethodCode: int64
reportingPeriodBeginningLoanBalanceAmount: double
nextReportingPeriodPaymentAmountDue: double
reportingPeriodInterestRatePercentage: double
nextInterestRatePercentage: double
servicingFeePercentage: double
servicingFlatFeeAmount: double
otherServicerFeeRetainedByServicer: double
otherAssessedUncollectedServicerFeeAmount: double
scheduledInterestAmount: double
scheduledPrincipalAmount: double
otherPrincipalAdjustmentAmount: double
reportingPeriodActualEndBalanceAmount: double
reportingPeriodScheduledPaymentAmount: double
totalActualAmountPaid: double
actualInterestCollectedAmount: double
actualPrincipalCollectedAmount: double
actualOtherCollectedAmount: double
servicerAdvancedAmount: double
interestPaidThroughDate: timestamp[ns]
currentDelinquencyStatus: int64
primaryLoanServicerName: string
assetSubjectDemandIndicator: bool
repossessedIndicator: bool
modificationTypeCode: double
paymentExtendedNumber: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 9608
to
{'originationDate': Value('large_string'), 'originalLoanAmount': Value('large_string'), 'loanMaturityDate': Value('large_string'), 'originalInterestRatePercentage': Value('large_string'), 'originalInterestOnlyTermNumber': Value('large_string'), 'gracePeriodNumber': Value('large_string'), 'vehicleManufacturerName': Value('large_string'), 'vehicleTypeCode': Value('large_string'), 'vehicleValueSourceCode': Value('large_string'), 'obligorCreditScore': Value('large_string'), 'obligorIncomeVerificationLevelCode': Value('large_string'), 'obligorEmploymentVerificationCode': Value('large_string'), 'paymentToIncomePercentage': Value('large_string'), 'obligorGeographicLocation': Value('large_string'), 'remainingTermToMaturityNumber': Value('large_string'), 'nextReportingPeriodPaymentAmountDue': Value('large_string'), 'servicingFlatFeeAmount': Value('large_string'), 'otherServicerFeeRetainedByServicer': Value('large_string'), 'otherAssessedUncollectedServicerFeeAmount': Value('large_string'), 'scheduledInterestAmount': Value('large_string'), 'scheduledPrincipalAmount': Value('large_string'), 'reportingPeriodScheduledPaymentAmount': Value('large_string'), 'totalActualAmountPaid': Value('large_string'), 'actualInterestCollectedAmount': Value('large_string'), 'actualPrincipalCollectedAmount': Value('large_string'), 'actualOtherCollectedAmount': Value('large_string'), 'interestPaidThroughDate': Value('large_string'), 'currentDelinquencyStatus': Value('large_string'), 'mostRecentServicingTransferReceivedDate': Value('large_string'), 'assetSubjectDemandIndicator': Value('large_string'), 'assetSubjectDemandStatusCode': Value('large_string'), 'repurchaseAmount': Value('large_string'), 'demandResolutionDate': Value('large_string'), 'repurchaserName': Value('large_string'), 'repurchaseReplacementReasonCode': Value('large_string'), 'chargedoffPrincipalAmount': Value('large_string'), 'recoveredAmount': Value('large_string'), 'repossessedIndicator': Value('large_string'), 'repossessedProceedsAmount': Value('large_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/parquet/parquet.py", line 209, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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
cik: int64
adsh: string
url: string
assetTypeNumber: string
assetNumber: int64
reportingPeriodBeginningDate: timestamp[ns]
reportingPeriodEndingDate: timestamp[ns]
originatorName: string
originationDate: timestamp[ns]
originalLoanAmount: double
originalLoanTerm: int64
loanMaturityDate: timestamp[ns]
originalInterestRatePercentage: double
interestCalculationTypeCode: int64
originalInterestRateTypeCode: int64
originalInterestOnlyTermNumber: int64
originalFirstPaymentDate: timestamp[ns]
underwritingIndicator: bool
gracePeriodNumber: int64
paymentTypeCode: int64
subvented: int64
vehicleManufacturerName: string
vehicleModelName: string
vehicleNewUsedCode: int64
vehicleModelYear: int64
vehicleTypeCode: int64
vehicleValueAmount: double
vehicleValueSourceCode: int64
obligorCreditScoreType: string
obligorCreditScore: int64
obligorIncomeVerificationLevelCode: int64
obligorEmploymentVerificationCode: int64
coObligorIndicator: bool
paymentToIncomePercentage: double
obligorGeographicLocation: string
assetAddedIndicator: bool
remainingTermToMaturityNumber: int64
reportingPeriodModificationIndicator: bool
servicingAdvanceMethodCode: int64
reportingPeriodBeginningLoanBalanceAmount: double
nextReportingPeriodPaymentAmountDue: double
reportingPeriodInterestRatePercentage: double
nextInterestRatePercentage: double
servicingFeePercentage: double
servicingFlatFeeAmount: double
otherServicerFeeRetainedByServicer: double
otherAssessedUncollectedServicerFeeAmount: double
scheduledInterestAmount: double
scheduledPrincipalAmount: double
otherPrincipalAdjustmentAmount: double
reportingPeriodActualEndBalanceAmount: double
reportingPeriodScheduledPaymentAmount: double
totalActualAmountPaid: double
actualInterestCollectedAmount: double
actualPrincipalCollectedAmount: double
actualOtherCollectedAmount: double
servicerAdvancedAmount: double
interestPaidThroughDate: timestamp[ns]
currentDelinquencyStatus: int64
primaryLoanServicerName: string
assetSubjectDemandIndicator: bool
repossessedIndicator: bool
modificationTypeCode: double
paymentExtendedNumber: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 9608
to
{'originationDate': Value('large_string'), 'originalLoanAmount': Value('large_string'), 'loanMaturityDate': Value('large_string'), 'originalInterestRatePercentage': Value('large_string'), 'originalInterestOnlyTermNumber': Value('large_string'), 'gracePeriodNumber': Value('large_string'), 'vehicleManufacturerName': Value('large_string'), 'vehicleTypeCode': Value('large_string'), 'vehicleValueSourceCode': Value('large_string'), 'obligorCreditScore': Value('large_string'), 'obligorIncomeVerificationLevelCode': Value('large_string'), 'obligorEmploymentVerificationCode': Value('large_string'), 'paymentToIncomePercentage': Value('large_string'), 'obligorGeographicLocation': Value('large_string'), 'remainingTermToMaturityNumber': Value('large_string'), 'nextReportingPeriodPaymentAmountDue': Value('large_string'), 'servicingFlatFeeAmount': Value('large_string'), 'otherServicerFeeRetainedByServicer': Value('large_string'), 'otherAssessedUncollectedServicerFeeAmount': Value('large_string'), 'scheduledInterestAmount': Value('large_string'), 'scheduledPrincipalAmount': Value('large_string'), 'reportingPeriodScheduledPaymentAmount': Value('large_string'), 'totalActualAmountPaid': Value('large_string'), 'actualInterestCollectedAmount': Value('large_string'), 'actualPrincipalCollectedAmount': Value('large_string'), 'actualOtherCollectedAmount': Value('large_string'), 'interestPaidThroughDate': Value('large_string'), 'currentDelinquencyStatus': Value('large_string'), 'mostRecentServicingTransferReceivedDate': Value('large_string'), 'assetSubjectDemandIndicator': Value('large_string'), 'assetSubjectDemandStatusCode': Value('large_string'), 'repurchaseAmount': Value('large_string'), 'demandResolutionDate': Value('large_string'), 'repurchaserName': Value('large_string'), 'repurchaseReplacementReasonCode': Value('large_string'), 'chargedoffPrincipalAmount': Value('large_string'), 'recoveredAmount': Value('large_string'), 'repossessedIndicator': Value('large_string'), 'repossessedProceedsAmount': Value('large_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.
California Republic Auto Receivables Trust 2018-1
SEC ABS-EE asset-level filings for CIK 1741276 (California Republic Auto Receivables Trust 2018-1).
- Filings: 54
- Parquet files: 211
- Total size: 182.4 MB
- Reporting period start: 2018-05-31
- Reporting period end: 2022-09-30
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).
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