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Datasets:
DenyTranDFW
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JP_MORGAN_CHASE_COMMERCIAL_MORTGAGE_SECURITIES_CORP_1013611

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Auto-converted to Parquet Duplicate
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: string
adsh: string
commentNumber: string
commentColumn: string
commentDescription: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 862
to
{'cik': Value('string'), 'adsh': Value('string'), 'assetTypeNumber': Value('string'), 'assetNumber': Value('float64'), 'GroupID': Value('int64'), 'reportingPeriodBeginningDate': Value('timestamp[ns]'), 'reportingPeriodEndDate': Value('timestamp[ns]'), 'originatorName': Value('string'), 'originationDate': Value('timestamp[ns]'), 'originalLoanAmount': Value('float64'), 'originalTermLoanNumber': Value('float64'), 'maturityDate': Value('timestamp[ns]'), 'originalAmortizationTermNumber': Value('float64'), 'originalInterestRatePercentage': Value('float64'), 'interestRateSecuritizationPercentage': Value('float64'), 'interestAccrualMethodCode': Value('float64'), 'originalInterestRateTypeCode': Value('float64'), 'originalInterestOnlyTermNumber': Value('float64'), 'firstLoanPaymentDueDate': Value('timestamp[ns]'), 'underwritingIndicator': Value('bool'), 'lienPositionSecuritizationCode': Value('float64'), 'loanStructureCode': Value('string'), 'paymentTypeCode': Value('float64'), 'periodicPrincipalAndInterestPaymentSecuritizationAmount': Value('float64'), 'scheduledPrincipalBalanceSecuritizationAmount': Value('float64'), 'paymentFrequencyCode': Value('float64'), 'NumberPropertiesSecuritization': Value('float64'), 'NumberProperties': Value('float64'), 'graceDaysAllowedNumber': Value('float64'), 'interestOnlyIndicator': Value('bool'), 'balloonIndicator': Value('bool'), 'prepaymentPremiumIndicator': Value('bool'), 'negativeAmortizationIndicator': Value('bool'), 'modifiedIndicator': Value('b
...
, 'otherInterestAdjustmentAmount': Value('float64'), 'scheduledPrincipalAmount': Value('float64'), 'unscheduledPrincipalCollectedAmount': Value('float64'), 'otherPrincipalAdjustmentAmount': Value('float64'), 'reportPeriodEndActualBalanceAmount': Value('float64'), 'reportPeriodEndScheduledLoanBalanceAmount': Value('float64'), 'paidThroughDate': Value('timestamp[ns]'), 'servicingAdvanceMethodCode': Value('float64'), 'nonRecoverabilityIndicator': Value('bool'), 'totalPrincipalInterestAdvancedOutstandingAmount': Value('float64'), 'totalTaxesInsuranceAdvancesOutstandingAmount': Value('float64'), 'otherExpensesAdvancedOutstandingAmount': Value('float64'), 'paymentStatusLoanCode': Value('string'), 'primaryServicerName': Value('string'), 'assetSubjectDemandIndicator': Value('bool'), 'realizedLossToTrustAmount': Value('float64'), 'workoutStrategyCode': Value('float64'), 'netRentableSquareFeetNumber': Value('float64'), 'netRentableSquareFeetSecuritizationNumber': Value('float64'), 'largestTenant': Value('string'), 'squareFeetLargestTenantNumber': Value('float64'), 'leaseExpirationLargestTenantDate': Value('timestamp[ns]'), 'secondLargestTenant': Value('string'), 'squareFeetSecondLargestTenantNumber': Value('float64'), 'leaseExpirationSecondLargestTenantDate': Value('timestamp[ns]'), 'thirdLargestTenant': Value('string'), 'squareFeetThirdLargestTenantNumber': Value('float64'), 'leaseExpirationThirdLargestTenantDate': Value('timestamp[ns]'), 'hyperAmortizingDate': Value('timestamp[ns]')}
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: string
              adsh: string
              commentNumber: string
              commentColumn: string
              commentDescription: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 862
              to
              {'cik': Value('string'), 'adsh': Value('string'), 'assetTypeNumber': Value('string'), 'assetNumber': Value('float64'), 'GroupID': Value('int64'), 'reportingPeriodBeginningDate': Value('timestamp[ns]'), 'reportingPeriodEndDate': Value('timestamp[ns]'), 'originatorName': Value('string'), 'originationDate': Value('timestamp[ns]'), 'originalLoanAmount': Value('float64'), 'originalTermLoanNumber': Value('float64'), 'maturityDate': Value('timestamp[ns]'), 'originalAmortizationTermNumber': Value('float64'), 'originalInterestRatePercentage': Value('float64'), 'interestRateSecuritizationPercentage': Value('float64'), 'interestAccrualMethodCode': Value('float64'), 'originalInterestRateTypeCode': Value('float64'), 'originalInterestOnlyTermNumber': Value('float64'), 'firstLoanPaymentDueDate': Value('timestamp[ns]'), 'underwritingIndicator': Value('bool'), 'lienPositionSecuritizationCode': Value('float64'), 'loanStructureCode': Value('string'), 'paymentTypeCode': Value('float64'), 'periodicPrincipalAndInterestPaymentSecuritizationAmount': Value('float64'), 'scheduledPrincipalBalanceSecuritizationAmount': Value('float64'), 'paymentFrequencyCode': Value('float64'), 'NumberPropertiesSecuritization': Value('float64'), 'NumberProperties': Value('float64'), 'graceDaysAllowedNumber': Value('float64'), 'interestOnlyIndicator': Value('bool'), 'balloonIndicator': Value('bool'), 'prepaymentPremiumIndicator': Value('bool'), 'negativeAmortizationIndicator': Value('bool'), 'modifiedIndicator': Value('b
              ...
              , 'otherInterestAdjustmentAmount': Value('float64'), 'scheduledPrincipalAmount': Value('float64'), 'unscheduledPrincipalCollectedAmount': Value('float64'), 'otherPrincipalAdjustmentAmount': Value('float64'), 'reportPeriodEndActualBalanceAmount': Value('float64'), 'reportPeriodEndScheduledLoanBalanceAmount': Value('float64'), 'paidThroughDate': Value('timestamp[ns]'), 'servicingAdvanceMethodCode': Value('float64'), 'nonRecoverabilityIndicator': Value('bool'), 'totalPrincipalInterestAdvancedOutstandingAmount': Value('float64'), 'totalTaxesInsuranceAdvancesOutstandingAmount': Value('float64'), 'otherExpensesAdvancedOutstandingAmount': Value('float64'), 'paymentStatusLoanCode': Value('string'), 'primaryServicerName': Value('string'), 'assetSubjectDemandIndicator': Value('bool'), 'realizedLossToTrustAmount': Value('float64'), 'workoutStrategyCode': Value('float64'), 'netRentableSquareFeetNumber': Value('float64'), 'netRentableSquareFeetSecuritizationNumber': Value('float64'), 'largestTenant': Value('string'), 'squareFeetLargestTenantNumber': Value('float64'), 'leaseExpirationLargestTenantDate': Value('timestamp[ns]'), 'secondLargestTenant': Value('string'), 'squareFeetSecondLargestTenantNumber': Value('float64'), 'leaseExpirationSecondLargestTenantDate': Value('timestamp[ns]'), 'thirdLargestTenant': Value('string'), 'squareFeetThirdLargestTenantNumber': Value('float64'), 'leaseExpirationThirdLargestTenantDate': Value('timestamp[ns]'), 'hyperAmortizingDate': Value('timestamp[ns]')}
              because column names don't match

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cik form accessionNumber fileNumber filmNumber reportDate url
1013611 ABS-EE 0001539497-16-004112 333-206361 162022002 2016-11-29 https://sec.gov/Archives/edgar/data/1013611/000153949716004112
1013611 ABS-EE/A 0001539497-16-004367 333-206361 162063652 2016-12-12 https://sec.gov/Archives/edgar/data/1013611/000153949716004367
1013611 ABS-EE 0001539497-17-000288 333-206361 17652852 2017-03-01 https://sec.gov/Archives/edgar/data/1013611/000153949717000288
1013611 ABS-EE 0001539497-17-000397 333-206361 17684829 2017-03-13 https://sec.gov/Archives/edgar/data/1013611/000153949717000397
1013611 ABS-EE 0001539497-17-000781 333-206361 17856960 2017-06-16 https://sec.gov/Archives/edgar/data/1013611/000153949717000781
1013611 ABS-EE 0001539497-17-001143 333-206361 17965110 2017-07-15 https://sec.gov/Archives/edgar/data/1013611/000153949717001143
1013611 ABS-EE 0001539497-17-001769 333-206361 171130126 2017-10-15 https://sec.gov/Archives/edgar/data/1013611/000153949717001769
1013611 ABS-EE/A 0001539497-17-001894 333-206361 171164989 2017-10-15 https://sec.gov/Archives/edgar/data/1013611/000153949717001894
1013611 ABS-EE 0001539497-18-000154 333-206361 18575853 2018-02-11 https://sec.gov/Archives/edgar/data/1013611/000153949718000154
1013611 ABS-EE/A 0001539497-18-000284 333-206361 18639426 2018-02-11 https://sec.gov/Archives/edgar/data/1013611/000153949718000284
1013611 ABS-EE 0001539497-18-000765 333-206361 18845530 2018-06-11 https://sec.gov/Archives/edgar/data/1013611/000153949718000765
1013611 ABS-EE 0001539497-18-001198 333-206361 18966612 2018-08-13 https://sec.gov/Archives/edgar/data/1013611/000153949718001198
1013611 ABS-EE 0001539497-18-001920 333-226123 181216361 2018-12-11 https://sec.gov/Archives/edgar/data/1013611/000153949718001920
1013611 ABS-EE 0001539497-19-000162 333-226123 19584702 2019-02-06 https://sec.gov/Archives/edgar/data/1013611/000153949719000162
1013611 ABS-EE 0001539497-19-000898 333-226123 19879660 2019-06-10 https://sec.gov/Archives/edgar/data/1013611/000153949719000898
1013611 ABS-EE 0001539497-19-000795 333-226123 19833079 2019-06-12 https://sec.gov/Archives/edgar/data/1013611/000153949719000795
1013611 ABS-EE 0001539497-19-001941 333-226123 191200924 2019-11-09 https://sec.gov/Archives/edgar/data/1013611/000153949719001941
1013611 ABS-EE 0001539497-19-001843 333-226123 191180536 2019-11-11 https://sec.gov/Archives/edgar/data/1013611/000153949719001843
1013611 ABS-EE/A 0001539497-19-002030 333-226123 191218687 2019-11-11 https://sec.gov/Archives/edgar/data/1013611/000153949719002030
1013611 ABS-EE/A 0001539497-19-002112 333-226123 191237719 2019-11-11 https://sec.gov/Archives/edgar/data/1013611/000153949719002112
1013611 ABS-EE 0001539497-20-000199 333-226123 20568611 2020-02-11 https://sec.gov/Archives/edgar/data/1013611/000153949720000199
1013611 ABS-EE 0001539497-20-000472 333-226123 20661518 2020-03-11 https://sec.gov/Archives/edgar/data/1013611/000153949720000472
1013611 ABS-EE 0001539497-20-000848 333-226123 20970114 2020-06-09 https://sec.gov/Archives/edgar/data/1013611/000153949720000848
1013611 ABS-EE/A 0001539497-20-000867 333-226123 20980577 2020-06-09 https://sec.gov/Archives/edgar/data/1013611/000153949720000867
1013611 ABS-EE 0001539497-20-001269 333-226123 201235903 2020-10-13 https://sec.gov/Archives/edgar/data/1013611/000153949720001269
1013611 ABS-EE/A 0001539497-20-001339 333-226123 201275964 2020-10-13 https://sec.gov/Archives/edgar/data/1013611/000153949720001339
1013611 ABS-EE 0001539497-21-000278 333-226123 21697457 2021-03-11 https://sec.gov/Archives/edgar/data/1013611/000153949721000278
1013611 ABS-EE/A 0001539497-21-000380 333-226123 21767700 2021-03-11 https://sec.gov/Archives/edgar/data/1013611/000153949721000380
1013611 ABS-EE 0001539497-21-001127 333-226123 211122749 2021-08-11 https://sec.gov/Archives/edgar/data/1013611/000153949721001127
1013611 ABS-EE 0001539497-22-000122 333-258342 22548572 2022-02-11 https://sec.gov/Archives/edgar/data/1013611/000153949722000122
1013611 ABS-EE 0001539497-22-001309 333-258342 221124435 2022-08-11 https://sec.gov/Archives/edgar/data/1013611/000153949722001309
1013611 ABS-EE 0001539497-23-002109 333-258342 231469267 2023-12-11 https://sec.gov/Archives/edgar/data/1013611/000153949723002109
1013611 ABS-EE 0001539497-24-000830 333-258342 24844383 2024-05-13 https://sec.gov/Archives/edgar/data/1013611/000153949724000830
1013611 ABS-EE 0001539497-24-001678 333-258342 241206197 2024-08-12 https://sec.gov/Archives/edgar/data/1013611/000153949724001678
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Number of rows:
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Total file size:
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