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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 ({'Exited', 'Surname', 'CustomerId'})

This happened while the csv dataset builder was generating data using

hf://datasets/Shanmuganathan75/Bank-Customer-Churn/bank_customer_churn  .csv (at revision 36666ad7b89c76a2d6d734d13580835e2675ac7b)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, 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 ({'Exited', 'Surname', 'CustomerId'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Shanmuganathan75/Bank-Customer-Churn/bank_customer_churn  .csv (at revision 36666ad7b89c76a2d6d734d13580835e2675ac7b)
              
              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
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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