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The dataset generation failed because of a cast error
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 3 new columns ({'CustomerId', 'Surname', 'Exited'})
This happened while the csv dataset builder was generating data using
hf://datasets/ShrutiHulyal/Bank-Customer-Churn/bank_customer_churn.csv (at revision f2e60278de693894ceedbacc5c9ed9e36606e10b), [/tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtest.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtrain.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/bank_customer_churn.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/bank_customer_churn.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/ytest.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/ytrain.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/ytrain.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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
CustomerId: int64
Surname: string
CreditScore: int64
Geography: string
Age: double
Tenure: int64
Balance: double
NumOfProducts: int64
HasCrCard: double
IsActiveMember: double
EstimatedSalary: double
Exited: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1673
to
{'CreditScore': Value('int64'), 'Age': Value('float64'), 'Tenure': Value('int64'), 'Balance': Value('float64'), 'NumOfProducts': Value('int64'), 'HasCrCard': Value('float64'), 'IsActiveMember': Value('float64'), 'EstimatedSalary': Value('float64'), 'Geography': 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 1333, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 966, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 3 new columns ({'CustomerId', 'Surname', 'Exited'})
This happened while the csv dataset builder was generating data using
hf://datasets/ShrutiHulyal/Bank-Customer-Churn/bank_customer_churn.csv (at revision f2e60278de693894ceedbacc5c9ed9e36606e10b), [/tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtest.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtrain.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/bank_customer_churn.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/bank_customer_churn.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/ytest.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/87573073476581-config-parquet-and-info-ShrutiHulyal-Bank-Custome-27e0cacc/hub/datasets--ShrutiHulyal--Bank-Customer-Churn/snapshots/f2e60278de693894ceedbacc5c9ed9e36606e10b/ytrain.csv (origin=hf://datasets/ShrutiHulyal/Bank-Customer-Churn@f2e60278de693894ceedbacc5c9ed9e36606e10b/ytrain.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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
CreditScore int64 | Age float64 | Tenure int64 | Balance float64 | NumOfProducts int64 | HasCrCard float64 | IsActiveMember float64 | EstimatedSalary float64 | Geography string |
|---|---|---|---|---|---|---|---|---|
807 | 42 | 5 | 0 | 2 | 1 | 1 | 74,900.9 | Spain |
623 | 43 | 1 | 0 | 2 | 1 | 1 | 146,379.3 | France |
601 | 44 | 4 | 0 | 2 | 1 | 0 | 58,561.31 | Spain |
506 | 59 | 8 | 119,152.1 | 2 | 1 | 1 | 170,679.74 | Germany |
560 | 27 | 7 | 124,995.98 | 1 | 1 | 1 | 114,669.79 | Spain |
807 | 40 | 1 | 134,590.21 | 1 | 1 | 1 | 46,253.65 | Germany |
439 | 32 | 3 | 138,901.61 | 1 | 1 | 0 | 75,685.97 | Spain |
656 | 30 | 3 | 0 | 2 | 0 | 1 | 17,104 | France |
686 | 22 | 8 | 0 | 2 | 0 | 0 | 142,331.85 | Spain |
464 | 42 | 3 | 85,679.25 | 1 | 1 | 1 | 164,104.74 | Germany |
481 | 57 | 9 | 0 | 3 | 1 | 1 | 169,719.35 | France |
717 | 36 | 2 | 99,472.76 | 2 | 1 | 0 | 94,274.72 | France |
529 | 32 | 9 | 147,493.89 | 1 | 1 | 0 | 33,656.35 | France |
677 | 43 | 3 | 133,214.88 | 2 | 1 | 1 | 95,936.84 | Spain |
696 | 19 | 1 | 110,928.51 | 1 | 1 | 1 | 2,766.63 | France |
599 | 40 | 10 | 137,456.28 | 2 | 1 | 1 | 14,113.11 | Germany |
586 | 57 | 3 | 0 | 2 | 0 | 1 | 6,057.81 | Spain |
563 | 24 | 7 | 0 | 2 | 0 | 0 | 16,319.56 | Spain |
605 | 34 | 2 | 0 | 1 | 0 | 0 | 35,982.42 | France |
605 | 41 | 5 | 91,612.91 | 1 | 1 | 1 | 28,427.84 | France |
679 | 41 | 8 | 147,726.98 | 3 | 1 | 0 | 172,749.4 | France |
762 | 35 | 9 | 0 | 2 | 1 | 1 | 43,075.7 | France |
687 | 44 | 9 | 0 | 2 | 0 | 0 | 103,042.2 | France |
708 | 54 | 8 | 145,151.4 | 1 | 0 | 1 | 125,311.17 | Germany |
696 | 44 | 8 | 161,889.79 | 1 | 0 | 0 | 75,562.47 | France |
619 | 35 | 4 | 90,413.12 | 1 | 1 | 1 | 20,555.21 | France |
578 | 34 | 8 | 147,487.23 | 2 | 1 | 0 | 66,680.77 | Germany |
528 | 32 | 0 | 68,138.37 | 1 | 1 | 1 | 170,309.19 | Spain |
713 | 32 | 1 | 117,094.02 | 1 | 0 | 0 | 149,558.83 | France |
664 | 38 | 4 | 74,306.19 | 2 | 1 | 0 | 154,395.56 | France |
680 | 30 | 8 | 141,441.75 | 1 | 1 | 1 | 16,278.97 | France |
819 | 38 | 10 | 0 | 2 | 1 | 0 | 30,498.7 | France |
510 | 45 | 10 | 103,821.47 | 2 | 0 | 1 | 77,878.62 | France |
628 | 45 | 6 | 53,667.44 | 1 | 1 | 0 | 115,022.94 | Germany |
748 | 34 | 5 | 84,009.47 | 1 | 1 | 1 | 137,001.1 | France |
579 | 56 | 4 | 99,340.83 | 1 | 0 | 0 | 4,523.74 | Spain |
531 | 31 | 2 | 118,899.45 | 2 | 0 | 0 | 41,409.36 | Spain |
587 | 34 | 1 | 0 | 2 | 1 | 1 | 97,932.68 | Spain |
711 | 38 | 3 | 128,718.78 | 1 | 0 | 0 | 114,793.45 | Spain |
613 | 44 | 3 | 0 | 2 | 0 | 1 | 136,491.72 | France |
560 | 31 | 3 | 115,141.18 | 1 | 1 | 0 | 39,806.75 | France |
475 | 45 | 0 | 134,264.04 | 1 | 1 | 0 | 27,822.99 | France |
662 | 42 | 6 | 105,021.28 | 1 | 1 | 0 | 48,242.38 | Spain |
440 | 42 | 2 | 0 | 2 | 1 | 0 | 49,826.68 | France |
668 | 32 | 1 | 134,446.04 | 1 | 0 | 1 | 111,241.37 | Spain |
582 | 41 | 6 | 70,349.48 | 2 | 0 | 1 | 178,074.04 | Germany |
674 | 37 | 3 | 0 | 1 | 1 | 0 | 158,049.9 | France |
692 | 43 | 2 | 69,014.49 | 2 | 0 | 0 | 164,621.43 | Germany |
521 | 38 | 5 | 110,641.18 | 1 | 0 | 1 | 136,507.69 | France |
759 | 35 | 7 | 147,936.42 | 1 | 1 | 1 | 106,785.7 | Spain |
715 | 42 | 2 | 88,120.97 | 2 | 1 | 1 | 21,333.22 | Germany |
655 | 30 | 1 | 83,173.98 | 2 | 1 | 1 | 184,259.6 | Germany |
763 | 67 | 1 | 149,436.73 | 2 | 0 | 1 | 106,282.74 | France |
695 | 39 | 4 | 65,521.2 | 1 | 1 | 1 | 1,243.97 | Spain |
495 | 45 | 3 | 89,158.94 | 3 | 1 | 0 | 135,169.76 | Spain |
581 | 25 | 5 | 77,886.53 | 2 | 1 | 0 | 150,319.49 | France |
829 | 26 | 8 | 101,440.36 | 2 | 1 | 1 | 19,324.5 | Spain |
796 | 23 | 3 | 146,584.19 | 2 | 0 | 0 | 125,445.8 | Spain |
686 | 43 | 0 | 0 | 1 | 1 | 1 | 170,072.9 | France |
505 | 40 | 6 | 47,869.69 | 2 | 1 | 1 | 155,061.97 | Germany |
528 | 30 | 2 | 128,262.72 | 2 | 1 | 0 | 50,771.16 | France |
722 | 50 | 4 | 132,088.59 | 1 | 1 | 1 | 128,262.14 | Spain |
684 | 18 | 9 | 90,544 | 1 | 0 | 1 | 4,777.23 | Germany |
785 | 36 | 2 | 99,806.85 | 1 | 0 | 1 | 36,976.52 | Germany |
607 | 27 | 5 | 100,912.19 | 1 | 0 | 0 | 7,631.27 | Spain |
667 | 27 | 2 | 138,032.15 | 1 | 1 | 0 | 166,317.71 | Germany |
480 | 28 | 6 | 0 | 2 | 0 | 0 | 48,131.92 | France |
806 | 36 | 8 | 167,983.17 | 2 | 1 | 1 | 106,714.28 | Germany |
551 | 35 | 7 | 129,717.3 | 2 | 0 | 0 | 86,937.2 | France |
604 | 35 | 7 | 147,285.52 | 1 | 1 | 1 | 57,807.05 | Spain |
466 | 30 | 3 | 0 | 1 | 1 | 0 | 193,984.6 | France |
601 | 42 | 9 | 133,636.16 | 1 | 0 | 1 | 103,315.74 | Germany |
674 | 46 | 2 | 174,701.05 | 1 | 1 | 0 | 90,189.72 | France |
531 | 31 | 3 | 0 | 1 | 1 | 1 | 42,589.33 | France |
632 | 32 | 6 | 111,589.33 | 1 | 1 | 1 | 170,382.99 | France |
636 | 30 | 8 | 141,787.31 | 2 | 1 | 1 | 109,685.61 | Germany |
723 | 25 | 3 | 0 | 2 | 1 | 1 | 134,509.47 | France |
683 | 29 | 0 | 157,829.12 | 1 | 0 | 0 | 129,891.66 | France |
661 | 20 | 8 | 0 | 1 | 1 | 0 | 110,252.53 | Spain |
627 | 30 | 6 | 57,809.32 | 1 | 1 | 0 | 188,258.49 | Germany |
765 | 46 | 8 | 119,492.88 | 2 | 0 | 1 | 166,896.01 | Germany |
571 | 66 | 9 | 111,577.01 | 1 | 0 | 1 | 189,271.9 | Germany |
633 | 35 | 10 | 0 | 2 | 1 | 0 | 65,675.47 | France |
636 | 45 | 7 | 139,859.23 | 1 | 1 | 1 | 108,402.54 | France |
682 | 40 | 4 | 0 | 2 | 1 | 1 | 140,745.91 | France |
482 | 48 | 2 | 69,329.47 | 1 | 0 | 0 | 102,640.52 | Germany |
786 | 62 | 8 | 0 | 1 | 1 | 1 | 165,702.64 | France |
747 | 45 | 1 | 114,959.12 | 1 | 1 | 0 | 189,362.39 | France |
528 | 32 | 4 | 85,615.66 | 2 | 1 | 0 | 156,192.43 | France |
592 | 36 | 1 | 126,477.42 | 1 | 0 | 0 | 179,718.17 | France |
432 | 27 | 6 | 62,339.81 | 2 | 0 | 0 | 53,874.67 | France |
620 | 25 | 8 | 141,825.88 | 1 | 1 | 1 | 73,857.94 | Germany |
589 | 46 | 10 | 0 | 2 | 0 | 1 | 168,369.37 | Spain |
675 | 33 | 3 | 0 | 2 | 1 | 0 | 45,348.08 | Spain |
652 | 51 | 7 | 0 | 2 | 0 | 1 | 43,496.36 | France |
638 | 27 | 4 | 135,096.05 | 1 | 1 | 1 | 186,523.72 | Germany |
828 | 37 | 4 | 0 | 2 | 1 | 0 | 94,845.45 | France |
710 | 37 | 6 | 135,795.63 | 1 | 0 | 1 | 46,523.6 | Germany |
553 | 37 | 1 | 0 | 1 | 1 | 0 | 30,461.55 | France |
726 | 36 | 2 | 0 | 1 | 1 | 0 | 195,192.4 | Spain |
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