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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 ({'چاهک 1', '       رطوبت      غلاف قبلی', '       رطوبت      غلاف فعلی', 'نیتروژن استاندارد قبلی', 'نیتروژن استاندارد فعلی', 'چاهک 2', 'رطوبت استاندارد فعلی', 'نیتروژن قبلی', 'رطوبت استاندارد قبلی', 'تاریخ قرائت', 'نیتروژن فعلی', 'تاریخ قرائت.1'})

This happened while the csv dataset builder was generating data using

hf://datasets/Esmaeilkiani/DatasetZaliAi/کراپ لاگ -کامل.csv (at revision 75b1e33a3a9e3c72bb0cda2d146bafebb765035c)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              سال: int64
              هفته: int64
              مزرعه: string
              اداره: int64
              کانال: int64
               مساحت: double
              واریته: string
              سن: string
              ارتفاع مزرعه: double
               رشد مزرعه : double
              چاهک 1: string
              تاریخ قرائت: string
              چاهک 2: string
              تاریخ قرائت.1: string
              نیتروژن فعلی: double
              نیتروژن استاندارد فعلی: double
              نیتروژن قبلی: double
              نیتروژن استاندارد قبلی: double
                     رطوبت      غلاف فعلی: double
              رطوبت استاندارد فعلی: double
                     رطوبت      غلاف قبلی: double
              رطوبت استاندارد قبلی: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5036
              to
              {'سال': Value(dtype='int64', id=None), 'هفته': Value(dtype='int64', id=None), 'مزرعه': Value(dtype='string', id=None), 'اداره': Value(dtype='int64', id=None), 'کانال': Value(dtype='int64', id=None), ' مساحت': Value(dtype='float64', id=None), 'واریته': Value(dtype='string', id=None), 'سن': Value(dtype='string', id=None), 'ارتفاع مزرعه': Value(dtype='float64', id=None), ' رشد مزرعه ': Value(dtype='float64', id=None)}
              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 1577, 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 1191, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'چاهک 1', '       رطوبت      غلاف قبلی', '       رطوبت      غلاف فعلی', 'نیتروژن استاندارد قبلی', 'نیتروژن استاندارد فعلی', 'چاهک 2', 'رطوبت استاندارد فعلی', 'نیتروژن قبلی', 'رطوبت استاندارد قبلی', 'تاریخ قرائت', 'نیتروژن فعلی', 'تاریخ قرائت.1'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Esmaeilkiani/DatasetZaliAi/کراپ لاگ -کامل.csv (at revision 75b1e33a3a9e3c72bb0cda2d146bafebb765035c)
              
              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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سال
int64
هفته
int64
مزرعه
string
اداره
int64
کانال
int64
مساحت
float64
واریته
string
سن
string
ارتفاع مزرعه
float64
رشد مزرعه
float64
92
1
01-26
1
1
24.42
CP69
P
68
7
92
1
01-30
1
1
23.11
CP69
P
77.2
10.6
92
1
02-07
2
2
21.59
CP48
P
70.6
8.2
92
1
02-11
2
2
25.26
CP48
P
48.2
7
92
1
02-29
2
2
25.01
CP69
P
32.8
0
92
1
03-10
1
3
23.2
CP69
P
53.6
3.2
92
1
03-24
1
3
23.28
CP69
P
33.2
0
92
1
04-03
2
4
23.41
CP48
P
60.2
9.6
92
1
04-07
2
4
23.46
CP57
P
83
7.4
92
1
04-35
2
4
15.28
CP69
P
31.2
0
92
1
05-03
1
5
24.51
CP57
R1
0
0
92
1
05-04
1
5
23.24
CP73
P
64.6
6.6
92
1
05-06
1
5
23.4
CP69
R1
0
0
92
1
05-07
1
5
23.3
CP57
P
64.4
4.2
92
1
05-18
1
5
22.88
CP57
P
55
6
92
1
05-23
1
5
23.04
CP69
P
32
0
92
1
05-24
1
5
23.42
CP57
P
48.6
5.8
92
1
06-03
2
6
23.4
CP48
R1
0
0
92
1
06-08
2
6
22.94
CP48
R1
54.8
2.2
92
1
06-09
2
6
23.08
CP48
R1
0
0
92
1
06-15
2
6
22.2
CP69
R1
0
0
92
1
07-04
1
7
23.54
CP70
R1
0
0
92
1
07-12
1
7
22.22
CP70
R1
31.4
0
92
1
07-20
1
7
23.13
CP73
P
37.2
5
92
1
08-05
2
8
23.31
CP57
R1
0
0
92
1
08-11
2
8
23.27
CP57
R1
0
0
92
1
08-17
2
8
22.48
CP57
R1
0
0
92
1
08-27
2
8
23.56
CP69
R1
0
0
92
1
09-06
1
9
23.25
CP48
R1
0
0
92
1
09-12
1
9
23.25
CP48
P
66.6
4.6
92
1
09-20
1
9
23.58
CP48
P
69.8
6.2
92
1
09-28
1
9
22.39
CP48
P
45.4
5.2
92
1
10-03
2
10
23.07
CP70
R2
0
0
92
1
10-09
2
10
23.2
CP48
R2
0
0
92
1
10-15
2
10
22.37
CP70
R1
0
0
92
1
10-21
2
10
23.37
CP69
R1
0
0
92
1
10-25
2
10
23.51
CP69
R1
0
0
92
1
11-04
1
11
23.13
CP48
R1
0
0
92
1
11-10
1
11
22.44
CP69
R1
0
0
92
1
11-14
1
11
22.94
CP48
R1
0
0
92
1
11-20
1
11
22.69
CP57
R1
0
0
92
1
11-24
1
11
22.91
CP48
R1
0
0
92
1
11-30
1
11
9.52
CP48
P
47.4
5.8
92
1
12-04
2
12
23.4
CP57
R2
0
0
92
1
12-10
2
12
23.4
CP57
R2
0
0
92
1
12-17
2
12
22.6
CP69
R2
0
0
92
1
12-20
2
12
23.4
CP57
R2
0
0
92
1
12-23
2
12
23.66
CP69
R1
0
0
92
1
12-26
2
12
23.3
CP69
R2
0
0
92
1
12-27
2
12
24.61
CP69
P
31.2
0
92
1
13-04
1
13
23.06
CP69
R1
0
0
92
1
13-12
1
13
22.83
CP69
R1
0
0
92
1
13-20
1
13
22.19
CP69
R2
0
0
92
1
13-26
1
13
22.91
CP69
R1
0
0
92
1
14-04
2
14
22.98
CP69
R1
0
0
92
1
14-05
2
14
23.3
CP57
R2
0
0
92
1
14-06
2
14
23.3
CP69
R2
0
0
92
1
14-13
2
14
23.6
CP73
R2
0
0
92
1
14-19
2
14
23.39
CP73
R1
30.2
0
92
1
14-20
2
14
23.4
CP69
R2
0
0
92
1
14-23
2
14
23.4
CP69
R2
0
0
92
1
14-24
2
14
23.3
CP69
R2
0
0
92
1
15-04
3
15
23.54
CP57
R1
0
0
92
1
15-07
3
15
23.6
CP69
R1
0
0
92
1
15-08
3
15
23.34
CP73
P
34.8
4.2
92
1
15-11
3
15
23.44
CP69
R1
0
0
92
1
15-12
3
15
23.51
CP57
R1
34.6
5
92
1
15-21
3
15
23.6
CP69
R1
0
0
92
1
15-24
3
15
23.64
CP57
R1
0
0
92
1
16-02
4
16
23.8
CP73
R2
0
0
92
1
16-03
4
16
23.4
CP48
R2
0
0
92
1
16-06
4
16
23.59
CP73
R1
0
0
92
1
16-07
4
16
23.6
CP48
R2
0
0
92
1
16-12
4
16
23.7
CP73
R2
0
0
92
1
16-18
4
16
22
CP69
R2
0
0
92
1
16-21
4
16
23.3
CP57
R2
0
0
92
1
16-23
4
16
23.5
CP69
R2
0
0
92
1
17-04
3
17
23.59
CP48
R1
0
0
92
1
17-09
3
17
23.13
CP48
R1
0
0
92
1
17-10
3
17
22.82
CP48
P
46.4
6.2
92
1
17-14
3
17
23.47
CP48
R1
0
0
92
1
17-19
3
17
23.1
CP48
R1
0
0
92
1
17-20
3
17
23.15
CP69
R1
0
0
92
1
17-23
3
17
23.44
CP48
R1
0
0
92
1
17-24
3
17
22.91
CP48
R1
0
0
92
1
18-03
4
18
23.76
CP57
R1
0
0
92
1
18-04
4
18
23.19
CP57
P
36.6
1
92
1
18-10
4
18
23.26
CP57
R1
0
0
92
1
18-11
4
18
23.21
CP57
R1
0
0
92
1
18-14
4
18
23.7
CP57
R1
0
0
92
1
18-20
4
18
23.17
CP69
R1
0
0
92
1
18-25
4
18
23.4
CP69
R1
0
0
92
1
19-04
3
19
23.33
CP73
P
51
8.4
92
1
19-05
3
19
23.3
CP73
R1
0
0
92
1
19-06
3
19
23.08
CP69
R1
0
0
92
1
19-14
3
19
24.05
CP69
R1
0
0
92
1
19-17
3
19
22.74
CP73
R1
0
0
92
1
19-21
3
19
23.25
CP73
R1
0
0
92
1
19-22
3
19
12.41
CP73
P
58
8.4
92
1
20-03
4
20
23.25
CP48
P
45.8
0
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