Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1 new columns ({'Exited'}) and 9 missing columns ({'Balance', 'Geography', 'NumOfProducts', 'CreditScore', 'IsActiveMember', 'EstimatedSalary', 'Tenure', 'Age', 'HasCrCard'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Parthipan00410/Bank-Customer-Churn-Data/Y_train.csv (at revision fe5d62fc1292fedc45663b2815358fc7b3c90152)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              Exited: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 371
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 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 1 new columns ({'Exited'}) and 9 missing columns ({'Balance', 'Geography', 'NumOfProducts', 'CreditScore', 'IsActiveMember', 'EstimatedSalary', 'Tenure', 'Age', 'HasCrCard'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Parthipan00410/Bank-Customer-Churn-Data/Y_train.csv (at revision fe5d62fc1292fedc45663b2815358fc7b3c90152)
              
              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
632
42
4
119,624.6
2
1
1
195,978.86
Germany
559
24
3
114,739.92
1
1
0
85,891.02
Spain
661
30
7
0
2
1
0
72,196.57
France
483
30
9
0
2
0
0
136,356.97
France
675
69
1
0
2
1
0
157,097.09
France
599
41
2
91,328.71
1
1
0
115,724.78
France
473
35
6
69,617.36
1
1
0
143,345.69
France
426
34
3
0
2
1
1
61,230.83
France
601
74
2
0
2
0
1
51,554.58
France
741
36
3
0
2
1
1
89,804.83
France
667
39
2
0
2
1
0
40,721.24
Spain
741
32
5
0
1
1
1
64,839.23
France
588
37
7
70,258.88
2
1
0
139,607.61
Germany
741
60
5
0
1
1
1
38,914.51
France
702
38
9
0
2
1
1
158,527.45
Spain
487
24
7
133,628.09
2
1
1
98,570.01
France
654
29
2
91,955.61
1
1
0
37,065.66
France
850
49
8
98,649.55
1
1
0
119,174.88
Germany
697
63
7
148,368.02
1
0
0
118,862.08
France
757
30
3
145,396.49
1
0
1
198,341.15
Spain
610
57
7
72,092.95
4
0
1
113,228.82
France
663
42
1
82,228.67
2
1
0
71,359.78
France
694
38
1
0
2
0
1
156,858.2
France
437
26
1
120,923.52
1
0
1
78,854.57
France
629
59
9
113,657.83
1
1
1
116,848.79
France
689
33
2
161,814.64
2
1
0
169,381.9
Germany
629
40
9
0
1
1
0
106.67
France
618
56
7
0
1
1
1
142,400.27
France
474
45
10
0
2
0
0
172,175.9
France
761
34
2
0
2
1
0
61,251.25
Spain
665
41
8
96,147.55
1
1
0
137,037.97
France
683
30
10
57,657.49
1
0
0
79,240.9
France
590
31
8
112,211.61
1
1
0
26,261.42
France
812
24
10
0
2
1
1
156,906.15
France
832
34
6
138,190.13
2
0
1
146,511.2
Spain
809
43
2
0
2
1
1
132,908.07
France
685
40
7
0
1
1
0
72,852.74
France
803
36
1
0
2
1
1
149,370.93
France
617
50
7
0
1
1
0
184,839.7
Spain
775
38
6
179,886.41
2
0
0
153,122.58
Germany
698
39
9
161,993.89
1
0
0
90,212.38
Spain
657
39
4
80,293.81
1
1
0
97,192.76
France
562
62
3
0
2
1
0
105,986.01
France
642
56
6
103,244.86
2
1
0
143,049.72
Germany
584
40
4
82,441.75
1
0
0
80,852.11
France
773
36
4
105,858.71
1
0
1
4,395.45
Germany
708
43
0
118,994.84
1
1
0
181,499.77
Germany
705
35
4
136,496.12
2
1
0
116,672.02
Germany
643
43
1
0
2
1
1
145,764.4
Spain
682
58
4
0
1
1
0
176,036.01
Spain
614
34
5
0
2
1
0
185,561.89
France
492
38
8
57,068.43
2
1
0
188,974.81
Germany
562
75
5
87,140.85
1
1
1
39,351.64
France
509
29
0
107,712.57
2
1
1
92,898.17
Germany
787
39
10
108,935.39
1
1
1
101,168.3
Spain
445
33
7
0
2
1
0
122,625.68
France
778
47
6
127,299.34
2
1
0
124,694.99
Spain
633
58
6
98,308.51
1
1
1
132,034.13
Spain
793
25
3
100,913.57
1
0
0
10,579.72
Spain
618
35
10
0
2
1
0
180,439.75
France
607
36
10
106,702.94
2
0
0
198,313.69
Germany
687
30
6
0
2
0
0
179,206.92
France
427
42
1
75,681.52
1
1
1
57,098
Germany
578
40
7
0
2
0
0
102,233.73
France
763
37
8
0
2
1
1
933.38
Spain
794
33
8
0
2
0
0
91,340.02
Spain
776
37
2
0
1
0
1
8,065
France
697
74
3
108,071.36
2
1
1
16,445.79
Germany
639
43
6
99,610.92
2
1
0
187,296.78
France
651
41
4
133,432.59
1
0
1
151,303.48
Germany
683
25
4
0
2
1
0
152,698.24
France
516
27
9
0
1
1
0
142,680.64
France
850
61
1
0
1
1
0
53,067.83
France
595
44
4
96,553.52
2
1
0
143,952.24
Germany
561
34
1
78,829.53
1
1
1
12,148.2
France
604
40
5
155,455.43
1
0
1
113,581.85
Spain
611
28
2
0
2
0
0
25,395.83
France
698
31
1
156,111.24
1
0
0
134,790.74
France
829
27
9
112,045.67
1
1
1
119,708.21
Germany
591
39
3
0
3
1
0
140,469.38
Spain
629
37
1
35,549.81
2
0
0
49,676.33
Germany
692
34
7
0
2
1
0
195,074.62
France
691
52
3
0
1
1
0
175,843.68
France
749
42
1
129,776.72
2
0
1
143,538.51
France
585
33
8
0
2
1
0
114,182.07
Spain
503
31
4
0
2
1
1
21,645.06
Spain
772
23
2
0
2
1
0
18,364.19
France
689
31
3
139,799.63
1
0
1
120,663.57
Spain
546
45
2
0
1
0
0
197,789.83
Spain
627
27
1
62,092.9
1
1
1
105,887.04
France
568
40
1
99,282.63
1
0
0
134,600.94
Germany
717
38
7
0
2
1
1
158,580.05
France
690
29
5
0
2
1
0
108,577.97
France
560
66
9
0
1
1
1
15,928.49
France
734
22
5
130,056.23
1
0
0
121,894.31
France
767
47
2
0
1
1
0
48,161.18
Spain
785
28
8
0
2
1
0
77,231.27
France
702
34
4
100,054.77
1
1
0
109,496.45
France
504
40
5
0
2
0
0
146,703.36
Spain
645
43
9
140,121.17
1
1
0
11,302.7
Germany
End of preview.

No dataset card yet

Downloads last month
-