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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '26bDGGPyD3XWVtyzK3dfK401oIq_74Wi1m84A7rv9bP5YnihG' as a scalar of type double
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 2223, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: '26bDGGPyD3XWVtyzK3dfK401oIq_74Wi1m84A7rv9bP5YnihG' as a scalar of type double
              
              The above exception was the direct cause of the following exception:
              
              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 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Unnamed: 0
int64
Age
int64
TypeofContact
string
CityTier
int64
DurationOfPitch
int64
Occupation
string
Gender
string
NumberOfPersonVisiting
int64
NumberOfFollowups
int64
ProductPitched
string
PreferredPropertyStar
int64
MaritalStatus
string
NumberOfTrips
int64
Passport
int64
PitchSatisfactionScore
int64
OwnCar
int64
NumberOfChildrenVisiting
int64
Designation
string
MonthlyIncome
int64
Unnamed: 21
null
Unnamed: 22
null
1,214
44
Self Enquiry
0
8
Salaried
Female
3
1
Standard
0
Married
2
1
4
1
0
Senior Manager
22,879
null
null
3,829
35
Self Enquiry
2
20
Small Business
Male
3
4
Standard
0
Married
3
0
1
1
2
Senior Manager
27,306
null
null
2,622
47
Self Enquiry
2
7
Small Business
Female
4
4
Standard
2
Married
3
0
2
1
2
Senior Manager
29,131
null
null
1,543
32
Self Enquiry
0
6
Salaried
Male
3
3
Deluxe
1
Married
2
0
3
1
0
Manager
21,220
null
null
3,144
59
Self Enquiry
0
9
Large Business
Male
3
4
Basic
0
Single
6
0
2
1
2
Executive
21,157
null
null
907
44
Self Enquiry
2
11
Small Business
Male
2
3
King
1
Divorced
1
0
5
1
1
VP
33,213
null
null
1,426
32
Self Enquiry
0
35
Salaried
Female
2
4
Basic
1
Single
2
0
3
1
0
Executive
17,837
null
null
4,269
27
Self Enquiry
2
7
Salaried
Male
3
4
Deluxe
0
Married
3
0
5
0
2
Manager
23,974
null
null
261
38
Company Invited
2
8
Salaried
Male
2
4
Deluxe
0
Divorced
4
0
5
1
1
Manager
20,249
null
null
4,223
32
Self Enquiry
0
12
Large Business
Male
3
4
Basic
0
Married
2
1
4
1
1
Executive
23,499
null
null
243
40
Self Enquiry
0
30
Large Business
Male
3
3
Deluxe
0
Married
2
0
3
1
1
Manager
18,319
null
null
3,533
38
Self Enquiry
0
20
Small Business
Male
3
4
Deluxe
0
Married
3
0
1
0
1
Manager
22,963
null
null
228
35
Company Invited
2
6
Small Business
Fe Male
3
3
Standard
0
Unmarried
2
0
5
1
0
Senior Manager
23,789
null
null
1,110
35
Self Enquiry
0
8
Salaried
Female
3
3
Basic
2
Married
2
1
1
1
1
Executive
17,074
null
null
4,350
34
Self Enquiry
0
17
Small Business
Male
3
6
Basic
0
Married
2
0
5
0
1
Executive
22,086
null
null
3,870
33
Self Enquiry
0
36
Salaried
Female
3
5
Basic
1
Unmarried
3
0
3
1
1
Executive
21,515
null
null
87
51
Self Enquiry
0
15
Salaried
Male
3
3
Basic
0
Divorced
4
0
3
1
0
Executive
17,075
null
null
1,365
29
Company Invited
2
30
Large Business
Male
2
1
Basic
2
Single
2
0
3
1
1
Executive
16,091
null
null
378
34
Company Invited
2
25
Small Business
Male
3
2
Deluxe
0
Single
1
1
2
1
2
Manager
20,304
null
null
2,522
38
Self Enquiry
0
14
Small Business
Male
2
4
Standard
0
Single
6
0
2
0
1
Senior Manager
32,342
null
null
209
46
Self Enquiry
0
6
Small Business
Male
3
3
Standard
2
Married
1
0
2
0
0
Senior Manager
24,396
null
null
510
54
Self Enquiry
1
25
Small Business
Male
2
3
Standard
1
Divorced
3
0
3
1
0
Senior Manager
25,725
null
null
2,022
56
Self Enquiry
0
15
Small Business
Male
2
3
Super Deluxe
0
Married
1
0
4
0
0
AVP
26,103
null
null
385
30
Company Invited
0
10
Large Business
Male
2
3
Basic
0
Single
19
1
4
1
1
Executive
17,285
null
null
1,386
26
Self Enquiry
0
6
Small Business
Male
3
3
Basic
2
Single
1
0
5
1
2
Executive
17,867
null
null
2,060
33
Self Enquiry
0
13
Small Business
Male
2
3
Standard
0
Married
1
0
4
1
0
Senior Manager
26,691
null
null
1,946
24
Self Enquiry
0
23
Salaried
Male
3
4
Basic
1
Married
2
0
3
1
1
Executive
17,127
null
null
3,768
30
Self Enquiry
0
36
Salaried
Male
4
6
Deluxe
0
Married
2
0
5
1
3
Manager
25,062
null
null
1,253
33
Company Invited
2
8
Small Business
Female
3
3
Deluxe
1
Single
1
0
1
0
0
Manager
20,147
null
null
2,230
53
Company Invited
2
8
Small Business
Female
2
4
Standard
1
Married
3
0
1
1
0
Senior Manager
22,525
null
null
3,514
29
Company Invited
2
14
Salaried
Male
3
4
Deluxe
2
Unmarried
2
0
3
1
2
Manager
23,576
null
null
1,372
39
Self Enquiry
0
15
Small Business
Male
2
3
Deluxe
2
Married
2
0
4
1
0
Manager
20,151
null
null
4,366
46
Self Enquiry
2
9
Salaried
Male
4
4
Deluxe
1
Married
2
0
5
1
3
Manager
23,483
null
null
2,466
35
Self Enquiry
0
14
Salaried
Female
3
4
Standard
1
Single
2
0
3
1
1
Senior Manager
30,672
null
null
4,073
35
Company Invited
2
9
Small Business
Female
4
4
Basic
0
Married
8
0
5
0
1
Executive
20,909
null
null
4,596
33
Company Invited
0
7
Salaried
Female
4
5
Basic
1
Married
8
0
3
0
3
Executive
21,010
null
null
2,373
29
Company Invited
0
16
Salaried
Female
2
4
Basic
0
Unmarried
2
0
4
1
0
Executive
21,623
null
null
1,916
41
Company Invited
2
16
Salaried
Male
2
3
Deluxe
0
Single
1
0
1
0
1
Manager
21,230
null
null
3,268
43
Self Enquiry
0
36
Small Business
Male
3
6
Deluxe
0
Unmarried
6
0
3
1
1
Manager
22,950
null
null
4,329
35
Company Invited
2
13
Small Business
Female
3
6
Basic
0
Married
2
0
4
0
2
Executive
21,029
null
null
1,685
41
Self Enquiry
2
12
Salaried
Female
3
3
Standard
0
Single
4
1
1
0
0
Senior Manager
28,591
null
null
694
33
Self Enquiry
0
6
Salaried
Female
2
4
Deluxe
0
Unmarried
1
0
4
0
0
Manager
21,949
null
null
837
40
Company Invited
0
15
Small Business
Fe Male
2
3
Standard
0
Unmarried
1
0
4
0
0
Senior Manager
28,499
null
null
1,852
26
Company Invited
0
9
Large Business
Male
3
3
Basic
2
Single
1
0
3
0
1
Executive
18,102
null
null
1,712
41
Self Enquiry
0
25
Salaried
Male
2
3
Deluxe
2
Married
3
0
1
0
0
Manager
18,072
null
null
222
37
Company Invited
0
17
Salaried
Male
2
3
Standard
0
Married
2
1
3
0
1
Senior Manager
27,185
null
null
2,145
31
Self Enquiry
2
13
Salaried
Male
2
4
Basic
0
Married
4
0
4
1
1
Executive
17,329
null
null
4,867
45
Self Enquiry
2
8
Salaried
Male
3
6
Deluxe
1
Single
8
0
3
0
2
Manager
21,040
null
null
514
33
Company Invited
0
9
Salaried
Male
3
3
Basic
2
Single
2
1
5
1
2
Executive
18,348
null
null
2,795
33
Self Enquiry
0
9
Small Business
Female
4
4
Basic
1
Divorced
3
0
4
0
1
Executive
21,048
null
null
1,074
33
Self Enquiry
0
14
Salaried
Male
3
3
Deluxe
0
Unmarried
3
1
3
0
2
Manager
21,388
null
null
402
30
Self Enquiry
2
18
Large Business
Female
2
3
Deluxe
0
Unmarried
1
0
2
1
0
Manager
21,577
null
null
547
42
Company Invited
0
25
Small Business
Male
2
2
Basic
0
Married
7
1
3
1
1
Executive
17,759
null
null
1,899
46
Self Enquiry
0
8
Salaried
Male
2
3
Super Deluxe
0
Married
7
0
5
1
0
AVP
32,861
null
null
4,656
51
Self Enquiry
0
16
Salaried
Male
4
4
Basic
0
Married
6
0
5
1
3
Executive
21,058
null
null
1,880
30
Self Enquiry
0
8
Salaried
Female
2
5
Deluxe
0
Single
3
0
1
1
0
Manager
21,091
null
null
2,742
37
Company Invited
0
25
Salaried
Male
3
3
Basic
0
Divorced
6
0
5
0
1
Executive
22,366
null
null
1,323
28
Company Invited
1
6
Salaried
Male
2
3
Basic
0
Married
2
0
4
0
1
Executive
17,706
null
null
1,357
42
Self Enquiry
0
12
Small Business
Male
2
3
Standard
2
Married
1
0
3
1
0
Senior Manager
28,348
null
null
617
44
Self Enquiry
0
10
Small Business
Male
2
3
Deluxe
1
Single
1
0
2
1
0
Manager
20,933
null
null
3,637
39
Company Invited
0
9
Small Business
Female
3
5
Basic
1
Single
3
0
1
1
1
Executive
21,118
null
null
253
42
Self Enquiry
0
23
Salaried
Female
2
2
Deluxe
2
Unmarried
4
1
2
0
0
Manager
21,545
null
null
2,223
39
Company Invited
0
28
Small Business
Fe Male
2
3
Standard
2
Unmarried
2
1
5
1
1
Senior Manager
25,880
null
null
944
28
Company Invited
0
6
Salaried
Female
2
5
Deluxe
0
Divorced
1
0
3
1
0
Manager
21,674
null
null
2,079
43
Self Enquiry
0
20
Salaried
Male
3
3
Super Deluxe
2
Married
7
0
5
1
1
AVP
32,159
null
null
3,372
45
Self Enquiry
0
22
Small Business
Female
4
4
Standard
0
Divorced
3
0
3
0
2
Senior Manager
26,656
null
null
4,382
53
Self Enquiry
0
13
Large Business
Male
4
4
Deluxe
2
Married
5
1
4
1
2
Manager
24,255
null
null
4,062
42
Self Enquiry
0
16
Salaried
Male
4
4
Basic
2
Married
4
0
1
0
1
Executive
20,916
null
null
9
36
Self Enquiry
0
33
Small Business
Male
3
3
Deluxe
0
Divorced
7
0
3
1
0
Manager
20,237
null
null
3,259
22
Self Enquiry
0
7
Large Business
Female
4
5
Basic
1
Single
3
1
5
0
3
Executive
20,748
null
null
2,664
37
Self Enquiry
0
12
Salaried
Male
4
4
Deluxe
1
Unmarried
2
0
2
0
3
Manager
24,592
null
null
3,501
30
Company Invited
2
20
Large Business
Fe Male
3
4
Deluxe
1
Unmarried
7
0
3
0
2
Manager
24,443
null
null
3,967
36
Company Invited
0
18
Small Business
Male
4
5
Standard
2
Married
4
1
5
1
3
Senior Manager
28,562
null
null
186
40
Self Enquiry
0
10
Small Business
Female
2
3
King
0
Divorced
2
0
5
0
1
VP
34,033
null
null
136
51
Company Invited
0
14
Salaried
Male
2
5
Standard
0
Unmarried
3
0
2
0
1
Senior Manager
25,650
null
null
3,835
39
Self Enquiry
2
7
Salaried
Male
3
5
Basic
2
Unmarried
6
0
3
0
2
Executive
21,536
null
null
390
43
Self Enquiry
0
18
Salaried
Male
2
4
Super Deluxe
1
Married
2
0
3
0
1
AVP
29,336
null
null
40
35
Self Enquiry
0
10
Salaried
Male
3
3
Basic
0
Married
2
0
4
0
0
Executive
16,951
null
null
2,695
40
Company Invited
0
9
Large Business
Female
4
4
Standard
0
Single
2
0
2
1
2
Senior Manager
29,616
null
null
3,753
27
Self Enquiry
2
17
Small Business
Male
3
4
Deluxe
0
Unmarried
3
0
1
0
1
Manager
23,362
null
null
762
26
Company Invited
0
8
Salaried
Male
2
3
Basic
2
Divorced
7
1
5
1
0
Executive
17,042
null
null
119
43
Company Invited
2
32
Salaried
Male
3
3
Super Deluxe
0
Divorced
2
1
2
0
0
AVP
31,959
null
null
3,339
32
Self Enquiry
0
18
Small Business
Male
4
4
Deluxe
2
Divorced
3
1
2
0
3
Manager
25,511
null
null
2,560
35
Self Enquiry
0
12
Small Business
Female
3
5
Standard
2
Single
4
0
2
0
1
Senior Manager
30,309
null
null
4,135
34
Self Enquiry
0
11
Small Business
Female
3
5
Basic
1
Married
8
0
4
0
2
Executive
21,300
null
null
1,016
31
Self Enquiry
0
14
Salaried
Female
2
4
Basic
1
Single
2
0
4
0
1
Executive
16,261
null
null
4,748
35
Self Enquiry
2
16
Salaried
Female
4
4
Deluxe
0
Married
3
0
1
0
1
Manager
24,392
null
null
4,865
42
Company Invited
2
16
Salaried
Male
3
6
Super Deluxe
0
Married
2
0
5
1
2
AVP
24,829
null
null
2,030
34
Self Enquiry
0
14
Salaried
Female
2
3
Deluxe
2
Married
4
0
5
1
1
Manager
20,121
null
null
2,680
34
Self Enquiry
0
9
Salaried
Female
3
4
Basic
2
Divorced
2
0
3
1
1
Executive
21,385
null
null
22
34
Self Enquiry
0
13
Salaried
Fe Male
2
3
Standard
1
Unmarried
1
0
3
1
0
Senior Manager
26,994
null
null
2,643
39
Self Enquiry
0
36
Large Business
Male
3
4
Deluxe
0
Divorced
5
0
2
0
2
Manager
24,939
null
null
3,965
29
Self Enquiry
0
12
Large Business
Male
3
4
Basic
0
Unmarried
3
1
1
0
1
Executive
22,119
null
null
1,288
35
Company Invited
0
8
Small Business
Male
2
3
Deluxe
0
Married
3
0
3
0
1
Manager
20,762
null
null
293
26
Self Enquiry
2
10
Small Business
Male
2
4
Deluxe
0
Single
2
1
2
1
1
Manager
20,828
null
null
2,562
37
Self Enquiry
0
10
Salaried
Female
3
4
Basic
0
Married
7
0
2
1
1
Executive
21,513
null
null
3,734
35
Company Invited
0
16
Salaried
Male
4
4
Deluxe
2
Married
6
0
3
0
2
Manager
24,024
null
null
4,727
40
Company Invited
0
9
Salaried
Male
3
4
Super Deluxe
0
Married
2
0
3
1
1
AVP
30,847
null
null
363
33
Self Enquiry
2
11
Small Business
Female
2
3
Basic
0
Single
2
1
2
1
0
Executive
17,851
null
null
642
38
Self Enquiry
2
15
Small Business
Male
3
4
Basic
1
Divorced
1
0
4
0
0
Executive
17,899
null
null
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