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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 5 new columns ({'CustomerId', 'RowNumber', 'Exited', 'Surname', 'Gender'})

This happened while the csv dataset builder was generating data using

hf://datasets/gjayant/bank-customer-churn/bank_customer_churn.csv (at revision 3becab895610e89cda02010214537aab1d4abb1a), ['hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/Xtest.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/Xtrain.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/bank_customer_churn.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/ytest.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/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/python3.14/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
              RowNumber: int64
              CustomerId: int64
              Surname: string
              CreditScore: int64
              Geography: string
              Gender: string
              Age: int64
              Tenure: int64
              Balance: double
              NumOfProducts: int64
              HasCrCard: int64
              IsActiveMember: int64
              EstimatedSalary: double
              Exited: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1906
              to
              {'CreditScore': Value('int64'), 'Age': Value('int64'), 'Tenure': Value('int64'), 'Balance': Value('float64'), 'NumOfProducts': Value('int64'), 'HasCrCard': Value('int64'), 'IsActiveMember': Value('int64'), '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 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 5 new columns ({'CustomerId', 'RowNumber', 'Exited', 'Surname', 'Gender'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/gjayant/bank-customer-churn/bank_customer_churn.csv (at revision 3becab895610e89cda02010214537aab1d4abb1a), ['hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/Xtest.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/Xtrain.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/bank_customer_churn.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/ytest.csv', 'hf://datasets/gjayant/bank-customer-churn@3becab895610e89cda02010214537aab1d4abb1a/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)

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CreditScore
int64
Age
int64
Tenure
int64
Balance
float64
NumOfProducts
int64
HasCrCard
int64
IsActiveMember
int64
EstimatedSalary
float64
Geography
string
596
32
3
96,709.07
2
0
0
41,788.37
Germany
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
790
37
8
0
2
1
1
149,418.41
Spain
439
32
3
138,901.61
1
1
0
75,685.97
Spain
597
22
6
101,528.61
1
1
0
70,529
Germany
678
40
4
113,794.22
1
1
0
16,618.76
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
651
56
4
0
1
0
0
84,383.22
France
850
47
6
0
1
1
0
187,391.02
France
687
41
2
154,007.21
1
1
0
158,408.23
Germany
696
19
1
110,928.51
1
1
1
2,766.63
France
612
36
5
119,799.27
2
1
0
159,416.58
Spain
586
57
3
0
2
0
1
6,057.81
Spain
425
40
9
166,776.6
2
0
1
172,646.88
Germany
643
43
1
0
2
1
1
145,764.4
Spain
641
37
2
0
2
1
0
3,939.87
France
795
40
2
101,891.1
1
1
1
183,044.86
France
762
35
9
0
2
1
1
43,075.7
France
687
44
9
0
2
0
0
103,042.2
France
850
37
4
88,141.1
1
1
0
109,659.12
Spain
753
62
6
0
2
1
1
136,398.9
France
678
49
3
204,510.94
1
0
1
738.88
France
578
34
8
147,487.23
2
1
0
66,680.77
Germany
825
29
3
148,874.01
2
0
1
71,192.82
France
696
30
0
0
2
1
1
9,002.8
Spain
457
40
10
134,320.23
2
1
0
150,757.35
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
567
36
1
0
2
0
0
8,555.73
France
638
34
5
146,679.77
1
1
0
102,179.86
Spain
579
56
4
99,340.83
1
0
0
4,523.74
Spain
715
37
9
105,489.31
1
0
0
143,096.49
Germany
587
34
1
0
2
1
1
97,932.68
Spain
711
38
3
128,718.78
1
0
0
114,793.45
Spain
741
36
3
0
2
1
1
89,804.83
France
688
38
7
148,045.68
1
1
0
175,479.92
France
475
45
0
134,264.04
1
1
0
27,822.99
France
567
36
7
0
2
0
1
3,896.08
France
440
42
2
0
2
1
0
49,826.68
France
741
42
6
106,036.52
1
1
0
194,686.78
France
582
41
6
70,349.48
2
0
1
178,074.04
Germany
613
26
4
100,446.57
1
0
1
149,653.81
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
711
39
3
152,462.79
1
1
0
90,305.97
France
554
44
6
92,436.86
1
1
0
126,033.9
France
651
35
8
110,067.71
1
1
0
127,678.95
Germany
495
45
3
89,158.94
3
1
0
135,169.76
Spain
805
39
2
0
1
0
0
166,650.32
France
829
26
8
101,440.36
2
1
1
19,324.5
Spain
583
40
4
55,776.39
2
1
0
26,920.43
France
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
677
34
4
0
2
1
1
6,175.53
Spain
660
37
2
133,200.09
1
0
0
71,433.88
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
603
39
5
162,390.52
2
1
0
54,702.66
Spain
480
28
6
0
2
0
0
48,131.92
France
656
68
7
153,545.11
1
1
1
186,574.68
Germany
631
48
1
106,396.48
1
1
1
150,661.42
Germany
604
35
7
147,285.52
1
1
1
57,807.05
Spain
622
32
5
179,305.09
1
1
1
149,043.78
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
707
46
7
127,476.73
2
1
1
146,011.55
France
723
25
3
0
2
1
1
134,509.47
France
795
38
7
125,903.22
2
1
1
127,068.92
Germany
585
45
0
0
2
0
0
189,683.7
Spain
627
30
6
57,809.32
1
1
0
188,258.49
Germany
546
30
5
0
2
0
1
198,543.09
France
571
66
9
111,577.01
1
0
1
189,271.9
Germany
684
42
1
117,691
1
1
1
23,135.65
Germany
636
45
7
139,859.23
1
1
1
108,402.54
France
562
48
3
92,347.96
1
1
1
163,116.75
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
688
32
6
124,179.3
1
1
1
138,759.15
Spain
699
29
3
125,689.29
1
1
1
151,623.71
France
528
32
4
85,615.66
2
1
0
156,192.43
France
542
42
1
0
1
1
1
178,256.58
France
773
50
4
0
2
1
0
129,372.94
France
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
607
32
9
144,272.07
2
1
0
176,580.63
Germany
594
23
4
104,753.84
2
1
0
56,756.52
Germany
755
42
2
119,919.12
1
1
0
156,868.21
France
555
40
10
139,930.18
1
1
1
105,720.09
France
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