Datasets:

---

Duplicated from  dklestov-cloud/gnn-fraud-transactions

krish12209

/

gnn-fraud-transactions

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 393 new columns ({'dist2', 'V189', 'D7', 'V289', 'V110', 'V86', 'V36', 'V334', 'TransactionAmt', 'V14', 'V32', 'V194', 'V296', 'P_emaildomain', 'V18', 'V174', 'V199', 'V72', 'V245', 'V8', 'V66', 'V188', 'V314', 'V114', 'V280', 'V92', 'V268', 'V176', 'V53', 'V162', 'V197', 'V102', 'V225', 'V22', 'D15', 'C7', 'V27', 'V205', 'V219', 'V220', 'M2', 'V4', 'V184', 'V235', 'V67', 'V119', 'V155', 'V185', 'V221', 'V153', 'V256', 'V269', 'C4', 'V79', 'V122', 'V157', 'V107', 'V313', 'V339', 'V218', 'V213', 'V11', 'V243', 'V303', 'V229', 'V46', 'V329', 'V236', 'V101', 'V117', 'V33', 'V150', 'V68', 'V94', 'V322', 'D8', 'V204', 'M7', 'V89', 'D13', 'V20', 'V301', 'V182', 'V250', 'V309', 'V95', 'V242', 'dist1', 'V278', 'V255', 'V121', 'V137', 'V203', 'V173', 'C5', 'V210', 'V179', 'C14', 'V181', 'V156', 'V214', 'V75', 'V13', 'V208', 'V85', 'V290', 'V40', 'V327', 'V209', 'R_emaildomain', 'V112', 'V26', 'V291', 'V292', 'V154', 'V71', 'V120', 'V16', 'V237', 'V98', 'V35', 'V49', 'V37', 'V257', 'V323', 'V333', 'V138', 'V244', 'V337', 'V64', 'V293', 'V332', 'M5', 'D10', 'V103', 'card5', 'V216', 'V39', 'V312', 'V91', 'V328', 'V258', 'V116', 'V267', 'M4', 'V60', 'V133', 'V222', 'addr1', 'V44', 'V305', 'V15', 'V9', 'V282', 'V41', 'V158', 'V152', 'V161', 'V73', 'V118', 'V294', 'D3', 'addr2', 'V70', 'V223', 'V42', 'C9', 'card1', 'V175', 'V147', 'V299', 'V129', 'V99', 'V239', 'V24', 'V159', 'V310', 'V249', 'V230', 'V88', 'V87', 'V187', 'D4', 'V108', 'C3', 'V2', 'V163', 'V93', 'V248', 'V38', 'V261', 'V143', 'V124', 'V148',
...
ProductCD', 'C8', 'V262', 'V331', 'V21', 'V321', 'V45', 'V151', 'V123', 'V177', 'V78', 'V272', 'V281', 'V82', 'V12', 'V34', 'V254', 'V320', 'isFraud', 'V6', 'V106', 'V306', 'V170', 'V330', 'V17', 'V69', 'V63', 'V97', 'V206', 'V285', 'V31', 'V25', 'V7', 'V135', 'V183', 'V105', 'V297', 'M3', 'V149', 'V295', 'V43', 'V134', 'V144', 'C10', 'card2', 'V265', 'V132', 'V247', 'V160', 'V195', 'V240', 'V241', 'V111', 'V270', 'V58', 'V307', 'V164', 'V308', 'V264', 'M6', 'V315', 'V276', 'C12', 'V165', 'V217', 'V139', 'V141', 'V298', 'V196', 'D1', 'V54', 'V251', 'V29', 'V324', 'V81', 'C6', 'V191', 'V336', 'V215', 'card3', 'V77', 'V326', 'V126', 'V84', 'V283', 'V318', 'V59', 'V172', 'V338', 'V109', 'V260', 'V1', 'C2', 'V74', 'V319', 'V224', 'V286', 'V76', 'V233', 'V113', 'V57', 'V142', 'D2', 'V28', 'V136', 'V48', 'V80', 'V130', 'V193', 'M9', 'V263', 'V311', 'V325', 'V171', 'V252', 'V10', 'V5', 'V277', 'V61', 'V316', 'V125', 'V52', 'V62', 'V302', 'D14', 'D12', 'V127', 'V266', 'V55', 'V226', 'V47', 'V271', 'V180', 'V104', 'C1', 'D9', 'V201', 'V19', 'D11', 'V207', 'V279', 'D5', 'V274', 'C11', 'V166', 'V335', 'C13', 'V83', 'V259', 'V192', 'V227', 'V128', 'V246', 'V51', 'V228', 'V253', 'V96', 'V202', 'V211', 'V115', 'V100', 'V300', 'V30', 'V284', 'M8', 'V50', 'V90', 'card6', 'V131', 'V304', 'V3', 'V190', 'V273', 'V288', 'V168', 'V200', 'V234', 'V317', 'V65', 'V167', 'V186', 'card4', 'V287', 'V232', 'V169', 'V231', 'M1', 'V146', 'V56', 'V238', 'D6', 'V23', 'V212', 'V140', 'TransactionDT', 'V275'}) and 40 missing columns ({'id_03', 'id_33', 'id_04', 'id_10', 'id_26', 'id_29', 'id_07', 'id_01', 'id_20', 'id_23', 'DeviceInfo', 'id_31', 'id_12', 'id_35', 'id_36', 'id_02', 'id_09', 'id_32', 'id_16', 'id_27', 'id_19', 'id_24', 'id_30', 'id_28', 'id_25', 'id_18', 'id_17', 'id_34', 'id_21', 'id_15', 'id_13', 'DeviceType', 'id_06', 'id_22', 'id_11', 'id_37', 'id_38', 'id_14', 'id_08', 'id_05'}).

This happened while the csv dataset builder was generating data using

hf://datasets/krish12209/gnn-fraud-transactions/test_transaction.csv (at revision 72a1bc8e9e581c1b736c99a8511938c04de84e96), ['hf://datasets/krish12209/gnn-fraud-transactions@72a1bc8e9e581c1b736c99a8511938c04de84e96/test_identity.csv', 'hf://datasets/krish12209/gnn-fraud-transactions@72a1bc8e9e581c1b736c99a8511938c04de84e96/test_transaction.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              TransactionID: int64
              isFraud: int64
              TransactionDT: int64
              TransactionAmt: double
              ProductCD: string
              card1: int64
              card2: double
              card3: double
              card4: string
              card5: double
              card6: string
              addr1: double
              addr2: double
              dist1: double
              dist2: double
              P_emaildomain: string
              R_emaildomain: string
              C1: double
              C2: double
              C3: double
              C4: double
              C5: double
              C6: double
              C7: double
              C8: double
              C9: double
              C10: double
              C11: double
              C12: double
              C13: double
              C14: double
              D1: double
              D2: double
              D3: double
              D4: double
              D5: double
              D6: double
              D7: double
              D8: double
              D9: double
              D10: double
              D11: double
              D12: double
              D13: double
              D14: double
              D15: double
              M1: string
              M2: string
              M3: string
              M4: string
              M5: string
              M6: string
              M7: string
              M8: string
              M9: string
              V1: double
              V2: double
              V3: double
              V4: double
              V5: double
              V6: double
              V7: double
              V8: double
              V9: double
              V10: double
              V11: double
              V12: double
              V13: double
              V14: double
              V15: double
              V16: double
              V17: double
              V18: double
              V19: double
              V20: double
              V21: double
              V22: double
              V23: double
              V24: double
              V25: double
              V26: double
              V27: double
              V28: double
              V29: double
              V30: double
              V31: double
              V32: double
              V33: double
              V34: double
              V35: double
              V36: double
              V37: double
              V38: double
              V39: double
              V40: double
              V41: double
              V42: double
              V43: double
              V44: double
              V45: double
              V46: double
              V47: double
              V48: double
              V49: double
              V50: double
              V51: double
              V52: double
              V53: double
              V54: double
              V55: double
              V56: double
              V57: double
              V58: double
              V59: double
              V60: double
              V61: double
              V62: double
              V63: double
              V64: double
              V65: double
              V66: double
              V67: do
              ...
              uble
              V233: double
              V234: double
              V235: double
              V236: double
              V237: double
              V238: double
              V239: double
              V240: double
              V241: double
              V242: double
              V243: double
              V244: double
              V245: double
              V246: double
              V247: double
              V248: double
              V249: double
              V250: double
              V251: double
              V252: double
              V253: double
              V254: double
              V255: double
              V256: double
              V257: double
              V258: double
              V259: double
              V260: double
              V261: double
              V262: double
              V263: double
              V264: double
              V265: double
              V266: double
              V267: double
              V268: double
              V269: double
              V270: double
              V271: double
              V272: double
              V273: double
              V274: double
              V275: double
              V276: double
              V277: double
              V278: double
              V279: double
              V280: double
              V281: double
              V282: double
              V283: double
              V284: double
              V285: double
              V286: double
              V287: double
              V288: double
              V289: double
              V290: double
              V291: double
              V292: double
              V293: double
              V294: double
              V295: double
              V296: double
              V297: double
              V298: double
              V299: double
              V300: double
              V301: double
              V302: double
              V303: double
              V304: double
              V305: double
              V306: double
              V307: double
              V308: double
              V309: double
              V310: double
              V311: double
              V312: double
              V313: double
              V314: double
              V315: double
              V316: double
              V317: double
              V318: double
              V319: double
              V320: double
              V321: double
              V322: double
              V323: double
              V324: double
              V325: double
              V326: double
              V327: double
              V328: double
              V329: double
              V330: double
              V331: double
              V332: double
              V333: double
              V334: double
              V335: double
              V336: double
              V337: double
              V338: double
              V339: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 42979
              to
              {'TransactionID': Value('int64'), 'id_01': Value('float64'), 'id_02': Value('float64'), 'id_03': Value('float64'), 'id_04': Value('float64'), 'id_05': Value('float64'), 'id_06': Value('float64'), 'id_07': Value('float64'), 'id_08': Value('float64'), 'id_09': Value('float64'), 'id_10': Value('float64'), 'id_11': Value('float64'), 'id_12': Value('string'), 'id_13': Value('float64'), 'id_14': Value('float64'), 'id_15': Value('string'), 'id_16': Value('string'), 'id_17': Value('float64'), 'id_18': Value('float64'), 'id_19': Value('float64'), 'id_20': Value('float64'), 'id_21': Value('float64'), 'id_22': Value('float64'), 'id_23': Value('string'), 'id_24': Value('float64'), 'id_25': Value('float64'), 'id_26': Value('float64'), 'id_27': Value('string'), 'id_28': Value('string'), 'id_29': Value('string'), 'id_30': Value('string'), 'id_31': Value('string'), 'id_32': Value('float64'), 'id_33': Value('string'), 'id_34': Value('string'), 'id_35': Value('string'), 'id_36': Value('string'), 'id_37': Value('string'), 'id_38': Value('string'), 'DeviceType': Value('string'), 'DeviceInfo': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 393 new columns ({'dist2', 'V189', 'D7', 'V289', 'V110', 'V86', 'V36', 'V334', 'TransactionAmt', 'V14', 'V32', 'V194', 'V296', 'P_emaildomain', 'V18', 'V174', 'V199', 'V72', 'V245', 'V8', 'V66', 'V188', 'V314', 'V114', 'V280', 'V92', 'V268', 'V176', 'V53', 'V162', 'V197', 'V102', 'V225', 'V22', 'D15', 'C7', 'V27', 'V205', 'V219', 'V220', 'M2', 'V4', 'V184', 'V235', 'V67', 'V119', 'V155', 'V185', 'V221', 'V153', 'V256', 'V269', 'C4', 'V79', 'V122', 'V157', 'V107', 'V313', 'V339', 'V218', 'V213', 'V11', 'V243', 'V303', 'V229', 'V46', 'V329', 'V236', 'V101', 'V117', 'V33', 'V150', 'V68', 'V94', 'V322', 'D8', 'V204', 'M7', 'V89', 'D13', 'V20', 'V301', 'V182', 'V250', 'V309', 'V95', 'V242', 'dist1', 'V278', 'V255', 'V121', 'V137', 'V203', 'V173', 'C5', 'V210', 'V179', 'C14', 'V181', 'V156', 'V214', 'V75', 'V13', 'V208', 'V85', 'V290', 'V40', 'V327', 'V209', 'R_emaildomain', 'V112', 'V26', 'V291', 'V292', 'V154', 'V71', 'V120', 'V16', 'V237', 'V98', 'V35', 'V49', 'V37', 'V257', 'V323', 'V333', 'V138', 'V244', 'V337', 'V64', 'V293', 'V332', 'M5', 'D10', 'V103', 'card5', 'V216', 'V39', 'V312', 'V91', 'V328', 'V258', 'V116', 'V267', 'M4', 'V60', 'V133', 'V222', 'addr1', 'V44', 'V305', 'V15', 'V9', 'V282', 'V41', 'V158', 'V152', 'V161', 'V73', 'V118', 'V294', 'D3', 'addr2', 'V70', 'V223', 'V42', 'C9', 'card1', 'V175', 'V147', 'V299', 'V129', 'V99', 'V239', 'V24', 'V159', 'V310', 'V249', 'V230', 'V88', 'V87', 'V187', 'D4', 'V108', 'C3', 'V2', 'V163', 'V93', 'V248', 'V38', 'V261', 'V143', 'V124', 'V148',
              ...
              ProductCD', 'C8', 'V262', 'V331', 'V21', 'V321', 'V45', 'V151', 'V123', 'V177', 'V78', 'V272', 'V281', 'V82', 'V12', 'V34', 'V254', 'V320', 'isFraud', 'V6', 'V106', 'V306', 'V170', 'V330', 'V17', 'V69', 'V63', 'V97', 'V206', 'V285', 'V31', 'V25', 'V7', 'V135', 'V183', 'V105', 'V297', 'M3', 'V149', 'V295', 'V43', 'V134', 'V144', 'C10', 'card2', 'V265', 'V132', 'V247', 'V160', 'V195', 'V240', 'V241', 'V111', 'V270', 'V58', 'V307', 'V164', 'V308', 'V264', 'M6', 'V315', 'V276', 'C12', 'V165', 'V217', 'V139', 'V141', 'V298', 'V196', 'D1', 'V54', 'V251', 'V29', 'V324', 'V81', 'C6', 'V191', 'V336', 'V215', 'card3', 'V77', 'V326', 'V126', 'V84', 'V283', 'V318', 'V59', 'V172', 'V338', 'V109', 'V260', 'V1', 'C2', 'V74', 'V319', 'V224', 'V286', 'V76', 'V233', 'V113', 'V57', 'V142', 'D2', 'V28', 'V136', 'V48', 'V80', 'V130', 'V193', 'M9', 'V263', 'V311', 'V325', 'V171', 'V252', 'V10', 'V5', 'V277', 'V61', 'V316', 'V125', 'V52', 'V62', 'V302', 'D14', 'D12', 'V127', 'V266', 'V55', 'V226', 'V47', 'V271', 'V180', 'V104', 'C1', 'D9', 'V201', 'V19', 'D11', 'V207', 'V279', 'D5', 'V274', 'C11', 'V166', 'V335', 'C13', 'V83', 'V259', 'V192', 'V227', 'V128', 'V246', 'V51', 'V228', 'V253', 'V96', 'V202', 'V211', 'V115', 'V100', 'V300', 'V30', 'V284', 'M8', 'V50', 'V90', 'card6', 'V131', 'V304', 'V3', 'V190', 'V273', 'V288', 'V168', 'V200', 'V234', 'V317', 'V65', 'V167', 'V186', 'card4', 'V287', 'V232', 'V169', 'V231', 'M1', 'V146', 'V56', 'V238', 'D6', 'V23', 'V212', 'V140', 'TransactionDT', 'V275'}) and 40 missing columns ({'id_03', 'id_33', 'id_04', 'id_10', 'id_26', 'id_29', 'id_07', 'id_01', 'id_20', 'id_23', 'DeviceInfo', 'id_31', 'id_12', 'id_35', 'id_36', 'id_02', 'id_09', 'id_32', 'id_16', 'id_27', 'id_19', 'id_24', 'id_30', 'id_28', 'id_25', 'id_18', 'id_17', 'id_34', 'id_21', 'id_15', 'id_13', 'DeviceType', 'id_06', 'id_22', 'id_11', 'id_37', 'id_38', 'id_14', 'id_08', 'id_05'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/krish12209/gnn-fraud-transactions/test_transaction.csv (at revision 72a1bc8e9e581c1b736c99a8511938c04de84e96), ['hf://datasets/krish12209/gnn-fraud-transactions@72a1bc8e9e581c1b736c99a8511938c04de84e96/test_identity.csv', 'hf://datasets/krish12209/gnn-fraud-transactions@72a1bc8e9e581c1b736c99a8511938c04de84e96/test_transaction.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)