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carlosgonzalezmartinez
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insurace-charge-logs

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 25.700000 was truncated converting to int64
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 675, 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 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value 25.700000 was truncated converting to int64
              
              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 1347, 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 980, 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 1919, 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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age
int64
bmi
int64
children
int64
sex
string
smoker
string
region
string
prediction
float64
40
37
2
female
no
southwest
7,359.319926
40
37
2
female
yes
southwest
43,032.575997
40
37
2
male
yes
southwest
42,426.646516
34
3
1
male
no
northwest
7,824.32104
34
3
1
male
no
northwest
7,824.32104
34
3
1
male
no
northwest
7,824.32104
34
3
1
male
no
northwest
7,824.32104
34
3
1
male
yes
northwest
16,773.531475
34
3
1
male
yes
northwest
16,773.531475
34
3
1
male
yes
northwest
16,773.531475
32
12
2
female
yes
northeast
16,565.936506
46
10
3
male
no
northwest
9,519.047247
46
10
0
male
no
northwest
8,589.269509
46
78
0
male
no
northwest
10,866.626696
50
20
2
female
yes
southeast
23,850.976824
33
20
1
male
no
northeast
7,111.988728
28
18
1
male
no
northeast
7,590.526023
28
18
1
male
yes
northeast
15,522.282188
33
117
1
male
no
northeast
8,168.662122
33
51
1
male
no
northeast
8,168.662122
33
161
1
male
no
northeast
8,168.662122
33
161
3
male
no
northeast
9,770.511679
33
161
3
male
no
southeast
7,026.814738
33
161
3
male
no
southwest
7,104.121182
33
161
3
male
no
northeast
9,770.511679
33
161
3
male
no
northwest
7,471.283578
33
161
3
male
yes
northwest
47,479.38227
33
161
3
male
no
northwest
7,471.283578
33
161
3
male
yes
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47,479.38227
33
161
3
male
no
northwest
7,471.283578
34
16
1
male
no
northeast
8,750.83712
34
16
1
male
yes
northeast
16,640.984146
32
34
2
male
no
northeast
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23
27
2
female
no
southeast
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yes
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19,306.546678
41
86
2
male
no
southeast
8,845.522532
41
86
2
male
no
southeast
8,845.522532
41
86
2
male
yes
southeast
43,995.607406
61
15
2
male
no
northeast
16,212.280952
61
15
2
male
yes
northeast
25,869.645046
75
59
2
male
no
northeast
19,092.241658
75
59
2
male
yes
northeast
48,292.276555
96
59
2
male
yes
northeast
48,292.276555
96
59
2
male
no
northeast
19,092.241658
34
22
1
male
no
southwest
7,404.944096
45
33
1
male
no
southeast
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33
1
male
yes
southeast
42,322.717899
19
79
1
male
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southeast
39,256.806569
35
83
1
male
yes
southeast
44,146.601789
35
83
1
male
no
southeast
7,415.229663
30
70
5
male
no
southwest
7,180.808139
30
70
5
male
yes
southwest
43,751.113128
36
0
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male
no
southeast
7,426.367354
23
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0
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yes
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39,343.784165
23
70
0
female
no
southeast
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34
22
2
female
no
southwest
8,264.749571
34
22
2
female
yes
southwest
17,656.431575
42
57
2
female
yes
southeast
44,718.186471
42
57
2
male
yes
southeast
44,153.095878
42
57
2
male
no
southeast
8,886.687401
64
57
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male
no
southeast
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88
57
2
male
no
southeast
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57
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male
no
southeast
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86
38
3
male
no
southeast
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38
3
male
no
southeast
19,613.590103
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38
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male
yes
southeast
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33
38
3
male
no
southeast
6,623.582118
90
38
3
male
no
southeast
19,613.590103
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38
3
male
no
southeast
19,613.590103
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39
2
male
no
southeast
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yes
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no
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24
3
male
no
southeast
16,865.44068
63
24
3
male
no
southeast
16,865.44068
63
24
3
male
yes
southeast
25,800.210511
17
150
0
male
no
northwest
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45
25.7
3
female
no
southwest
9,975.453542
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30.59
0
male
no
northwest
3,093.041322
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32.8
0
female
no
southwest
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18
30.14
0
male
no
southeast
4,472.059219
45
38.285
0
female
no
northeast
11,888.941538
40
24.97
2
male
no
southeast
8,445.92038
47
19.57
1
male
no
northwest
9,804.189541
21
36.85
0
male
no
southeast
2,893.756152
31
25.935
1
male
no
northwest
5,055.123119
43
38.06
2
male
yes
southeast
44,383.556197
59
37.1
1
male
no
southwest
20,813.086292
40
41.42
1
female
no
northwest
7,111.140683
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27.17
0
female
no
northwest
13,073.332296
46
48.07
2
female
no
northeast
11,040.859798
29
29.64
1
male
no
northeast
5,085.090895
42
37.18
2
male
no
southeast
8,691.872044
27
32.585
3
male
no
northeast
7,964.43015
61
21.09
0
female
no
northwest
15,719.921192
60
18.335
0
female
no
northeast
15,143.63757
26
31.065
0
male
no
northwest
3,597.931183
22
52.58
1
male
yes
southeast
39,256.806569
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