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vikramssheth
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writersample

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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 12 new columns ({'screen_time_before_sleep', 'anxiety_level', 'addiction_level', 'academic_performance', 'social_interaction_level', 'daily_social_media_hours', 'stress_level', 'platform_usage', 'sleep_hours', 'gender', 'physical_activity', 'depression_label'}) and 8 missing columns ({'job_satisfaction', 'relationship_satisfaction', 'attrition', 'employee_id', 'monthly_income', 'department', 'work_life_balance', 'years_at_company'}).

This happened while the csv dataset builder was generating data using

hf://datasets/vikramssheth/writersample/Teen_Mental_Health_Dataset.csv (at revision e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da), [/tmp/hf-datasets-cache/medium/datasets/75776901116470-config-parquet-and-info-vikramssheth-writersample-b96f0a63/hub/datasets--vikramssheth--writersample/snapshots/e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Employee_Attrition_Dataset.csv (origin=hf://datasets/vikramssheth/writersample@e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Employee_Attrition_Dataset.csv), /tmp/hf-datasets-cache/medium/datasets/75776901116470-config-parquet-and-info-vikramssheth-writersample-b96f0a63/hub/datasets--vikramssheth--writersample/snapshots/e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Teen_Mental_Health_Dataset.csv (origin=hf://datasets/vikramssheth/writersample@e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Teen_Mental_Health_Dataset.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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              age: int64
              gender: string
              daily_social_media_hours: double
              platform_usage: string
              sleep_hours: double
              screen_time_before_sleep: double
              academic_performance: double
              physical_activity: double
              social_interaction_level: string
              stress_level: int64
              anxiety_level: int64
              addiction_level: int64
              depression_label: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1950
              to
              {'employee_id': Value('int64'), 'age': Value('int64'), 'department': Value('string'), 'monthly_income': Value('int64'), 'job_satisfaction': Value('int64'), 'work_life_balance': Value('int64'), 'relationship_satisfaction': Value('int64'), 'years_at_company': Value('int64'), 'attrition': 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 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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 12 new columns ({'screen_time_before_sleep', 'anxiety_level', 'addiction_level', 'academic_performance', 'social_interaction_level', 'daily_social_media_hours', 'stress_level', 'platform_usage', 'sleep_hours', 'gender', 'physical_activity', 'depression_label'}) and 8 missing columns ({'job_satisfaction', 'relationship_satisfaction', 'attrition', 'employee_id', 'monthly_income', 'department', 'work_life_balance', 'years_at_company'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/vikramssheth/writersample/Teen_Mental_Health_Dataset.csv (at revision e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da), [/tmp/hf-datasets-cache/medium/datasets/75776901116470-config-parquet-and-info-vikramssheth-writersample-b96f0a63/hub/datasets--vikramssheth--writersample/snapshots/e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Employee_Attrition_Dataset.csv (origin=hf://datasets/vikramssheth/writersample@e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Employee_Attrition_Dataset.csv), /tmp/hf-datasets-cache/medium/datasets/75776901116470-config-parquet-and-info-vikramssheth-writersample-b96f0a63/hub/datasets--vikramssheth--writersample/snapshots/e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Teen_Mental_Health_Dataset.csv (origin=hf://datasets/vikramssheth/writersample@e4005ec3e233ff03cdc0d8dbd74d6b54ce44d7da/Teen_Mental_Health_Dataset.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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employee_id
int64
age
int64
department
string
monthly_income
int64
job_satisfaction
int64
work_life_balance
int64
relationship_satisfaction
int64
years_at_company
int64
attrition
string
1
58
IT
15,488
3
1
4
15
No
2
48
Sales
13,079
1
2
1
6
No
3
34
Marketing
13,744
2
3
4
24
No
4
27
Marketing
6,809
5
3
3
10
No
5
40
Marketing
10,206
5
2
1
29
No
6
58
Finance
16,746
2
4
2
15
No
7
38
HR
18,995
5
4
1
29
No
8
42
Marketing
19,035
2
3
2
4
No
9
30
IT
14,671
1
4
4
18
No
10
30
Marketing
16,210
1
3
3
18
No
11
43
Finance
8,197
1
3
1
25
Yes
12
55
IT
18,553
2
2
2
17
No
13
59
Finance
10,452
2
4
4
12
No
14
43
IT
11,718
4
2
3
7
No
15
22
Sales
17,859
5
3
3
16
No
16
41
HR
5,172
5
3
3
11
No
17
21
HR
16,158
4
3
4
14
No
18
43
Finance
19,663
4
1
4
3
No
19
49
HR
14,085
1
1
4
19
No
20
57
Finance
6,981
4
1
3
18
No
21
21
Finance
8,247
2
2
1
10
No
22
40
Finance
13,553
3
3
2
6
No
23
52
HR
9,135
2
4
4
13
No
24
31
Finance
8,573
4
2
1
10
Yes
25
41
HR
16,731
5
2
2
18
No
26
44
Finance
10,189
2
2
3
26
No
27
46
Marketing
17,541
5
4
1
20
Yes
28
47
Finance
13,878
2
3
3
26
Yes
29
35
IT
14,087
5
1
2
16
No
30
34
Finance
16,667
2
3
4
25
No
31
22
Sales
5,776
5
3
3
25
No
32
56
Finance
12,311
3
2
1
6
Yes
33
26
IT
10,697
1
2
4
13
No
34
40
IT
17,629
2
2
1
4
No
35
28
HR
11,386
3
1
2
23
No
36
58
Marketing
11,044
1
1
2
14
No
37
37
Finance
12,615
2
1
4
1
Yes
38
23
HR
18,034
3
3
1
28
No
39
44
Marketing
8,060
3
2
1
20
Yes
40
33
Finance
13,900
3
4
1
5
No
41
28
Sales
8,581
4
3
1
8
No
42
45
Finance
5,014
5
1
2
12
No
43
21
IT
15,997
1
4
1
2
No
44
39
IT
13,635
5
4
2
12
No
45
47
Sales
16,648
5
2
1
5
No
46
26
HR
10,148
5
4
1
22
No
47
27
Marketing
17,022
3
1
3
5
No
48
54
Finance
8,919
5
2
3
13
No
49
33
IT
18,886
4
4
1
9
Yes
50
36
HR
9,638
2
2
2
10
Yes
51
55
Sales
7,651
3
4
1
1
No
52
59
IT
3,609
1
3
3
3
Yes
53
23
Sales
10,940
2
3
1
18
No
54
21
Finance
13,348
2
1
3
12
Yes
55
25
Marketing
6,866
2
3
1
29
No
56
23
IT
19,755
5
3
4
3
No
57
48
IT
19,999
5
3
1
26
Yes
58
37
Finance
5,253
3
4
2
25
No
59
45
HR
7,942
5
4
3
29
No
60
53
Marketing
15,330
5
2
4
9
No
61
29
IT
3,864
5
4
3
26
No
62
55
Marketing
4,268
3
3
3
2
No
63
33
IT
10,454
3
4
2
3
Yes
64
50
Marketing
16,666
4
1
1
14
Yes
65
34
Sales
15,370
4
2
2
4
Yes
66
27
IT
8,229
4
2
1
25
No
67
33
Marketing
19,309
4
4
4
19
No
68
42
HR
7,054
2
3
2
13
Yes
69
59
Sales
3,935
2
2
2
7
No
70
40
Sales
15,172
4
1
3
12
No
71
35
HR
13,530
4
1
2
3
No
72
37
Marketing
18,560
1
2
1
23
No
73
43
Finance
19,156
2
3
2
23
No
74
45
HR
19,709
1
3
2
9
No
75
44
Marketing
12,726
1
4
4
2
No
76
48
HR
10,774
5
4
1
29
No
77
34
HR
4,985
3
2
3
22
No
78
20
IT
17,252
2
4
1
9
No
79
44
Marketing
7,603
4
4
4
12
No
80
26
Finance
18,960
4
4
1
12
No
81
28
IT
12,462
3
1
1
15
No
82
43
HR
17,166
2
4
2
2
No
83
20
HR
10,754
4
2
2
18
No
84
27
HR
17,246
4
3
1
13
No
85
43
Marketing
7,078
5
4
1
14
No
86
30
Marketing
15,853
1
3
3
5
No
87
36
IT
7,042
4
4
4
26
No
88
27
Finance
19,284
2
2
2
10
No
89
54
IT
17,389
3
1
2
12
No
90
54
Sales
5,575
5
2
2
10
No
91
52
HR
9,754
2
1
2
24
No
92
24
HR
4,986
5
4
1
11
No
93
58
HR
18,470
1
4
1
25
Yes
94
47
IT
8,968
4
1
3
2
No
95
26
IT
10,493
2
2
2
5
Yes
96
28
HR
7,103
3
2
2
7
No
97
27
IT
5,076
1
1
1
6
No
98
31
Marketing
5,994
1
4
3
22
No
99
53
Marketing
6,744
5
1
1
23
Yes
100
52
IT
17,466
1
4
2
3
No
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