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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 41 new columns ({'[Indonesian rupiah ]', '[Turkish lira ]', '[Canadian dollar ]', '[Croatian kuna ]', '[Polish zloty ]', '[Iceland krona ]', '[Swiss franc ]', '[Thai baht ]', '[Korean won ]', '[Brazilian real ]', '[Hong Kong dollar ]', '[Hungarian forint ]', '[New Zealand dollar ]', '[Australian dollar ]', '[Cypriot pound ]', '[Maltese lira ]', '[Latvian lats ]', '[Malaysian ringgit ]', '[Chinese yuan renminbi ]', '[Bulgarian lev ]', '[Indian rupee ]', '[Norwegian krone ]', '[Russian rouble ]', '[Czech koruna ]', '[Slovenian tolar ]', '[Israeli shekel ]', '[Mexican peso ]', '[Philippine peso ]', '[Estonian kroon ]', '[UK pound sterling ]', '[US dollar ]', '[South African rand ]', '[Romanian leu ]', '[Lithuanian litas ]', '[Greek drachma ]', '[Danish krone ]', '[Japanese yen ]', '[Singapore dollar ]', '[Slovak koruna ]', 'Period\\Unit:', '[Swedish krona ]'}) and 6 missing columns ({'cash_type', 'coffee_name', 'money', 'date', 'datetime', 'card'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Bmurug3/forcasting/04.10.2024/euro_exchange/train_df.csv (at revision 044273f569eae60e0fc32e88c6be171d9b52295f)

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 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ID: int64
              Period\Unit:: string
              [Australian dollar ]: string
              [Bulgarian lev ]: string
              [Brazilian real ]: string
              [Canadian dollar ]: string
              [Swiss franc ]: string
              [Chinese yuan renminbi ]: string
              [Cypriot pound ]: string
              [Czech koruna ]: string
              [Danish krone ]: string
              [Estonian kroon ]: string
              [UK pound sterling ]: string
              [Greek drachma ]: string
              [Hong Kong dollar ]: string
              [Croatian kuna ]: string
              [Hungarian forint ]: string
              [Indonesian rupiah ]: string
              [Israeli shekel ]: string
              [Indian rupee ]: string
              [Iceland krona ]: double
              [Japanese yen ]: string
              [Korean won ]: string
              [Lithuanian litas ]: string
              [Latvian lats ]: string
              [Maltese lira ]: string
              [Mexican peso ]: string
              [Malaysian ringgit ]: string
              [Norwegian krone ]: string
              [New Zealand dollar ]: string
              [Philippine peso ]: string
              [Polish zloty ]: string
              [Romanian leu ]: double
              [Russian rouble ]: string
              [Swedish krona ]: string
              [Singapore dollar ]: string
              [Slovenian tolar ]: string
              [Slovak koruna ]: string
              [Thai baht ]: string
              [Turkish lira ]: double
              [US dollar ]: string
              [South African rand ]: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5842
              to
              {'ID': Value(dtype='int64', id=None), 'date': Value(dtype='string', id=None), 'datetime': Value(dtype='string', id=None), 'cash_type': Value(dtype='string', id=None), 'card': Value(dtype='string', id=None), 'money': Value(dtype='float64', id=None), 'coffee_name': Value(dtype='string', 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 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1871, 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 41 new columns ({'[Indonesian rupiah ]', '[Turkish lira ]', '[Canadian dollar ]', '[Croatian kuna ]', '[Polish zloty ]', '[Iceland krona ]', '[Swiss franc ]', '[Thai baht ]', '[Korean won ]', '[Brazilian real ]', '[Hong Kong dollar ]', '[Hungarian forint ]', '[New Zealand dollar ]', '[Australian dollar ]', '[Cypriot pound ]', '[Maltese lira ]', '[Latvian lats ]', '[Malaysian ringgit ]', '[Chinese yuan renminbi ]', '[Bulgarian lev ]', '[Indian rupee ]', '[Norwegian krone ]', '[Russian rouble ]', '[Czech koruna ]', '[Slovenian tolar ]', '[Israeli shekel ]', '[Mexican peso ]', '[Philippine peso ]', '[Estonian kroon ]', '[UK pound sterling ]', '[US dollar ]', '[South African rand ]', '[Romanian leu ]', '[Lithuanian litas ]', '[Greek drachma ]', '[Danish krone ]', '[Japanese yen ]', '[Singapore dollar ]', '[Slovak koruna ]', 'Period\\Unit:', '[Swedish krona ]'}) and 6 missing columns ({'cash_type', 'coffee_name', 'money', 'date', 'datetime', 'card'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Bmurug3/forcasting/04.10.2024/euro_exchange/train_df.csv (at revision 044273f569eae60e0fc32e88c6be171d9b52295f)
              
              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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ID
int64
date
string
datetime
string
cash_type
string
card
string
money
float64
coffee_name
string
1
2024-03-01
2024-03-01 10:15:50.520
card
ANON-0000-0000-0001
38.7
Latte
10
2024-03-01
2024-03-01 19:23:15.887
card
ANON-0000-0000-0008
33.8
Americano with Milk
9
2024-03-01
2024-03-01 19:22:01.762
card
ANON-0000-0000-0008
38.7
Cocoa
8
2024-03-01
2024-03-01 18:39:03.580
card
ANON-0000-0000-0007
33.8
Americano with Milk
7
2024-03-01
2024-03-01 16:19:02.756
card
ANON-0000-0000-0006
38.7
Hot Chocolate
11
2024-03-01
2024-03-01 19:29:17.391
card
ANON-0000-0000-0009
33.8
Americano with Milk
5
2024-03-01
2024-03-01 13:48:14.626
card
ANON-0000-0000-0004
38.7
Latte
4
2024-03-01
2024-03-01 13:46:33.006
card
ANON-0000-0000-0003
28.9
Americano
3
2024-03-01
2024-03-01 12:20:18.089
card
ANON-0000-0000-0002
38.7
Hot Chocolate
2
2024-03-01
2024-03-01 12:19:22.539
card
ANON-0000-0000-0002
38.7
Hot Chocolate
6
2024-03-01
2024-03-01 15:39:47.726
card
ANON-0000-0000-0005
33.8
Americano with Milk
12
2024-03-02
2024-03-02 10:22:06.957
card
ANON-0000-0000-0010
28.9
Americano
13
2024-03-02
2024-03-02 10:30:35.668
cash
null
40
Latte
14
2024-03-02
2024-03-02 10:41:41.249
card
ANON-0000-0000-0011
33.8
Americano with Milk
15
2024-03-02
2024-03-02 11:59:45.484
card
ANON-0000-0000-0012
33.8
Americano with Milk
16
2024-03-02
2024-03-02 14:38:35.535
card
ANON-0000-0000-0013
28.9
Americano
17
2024-03-02
2024-03-02 16:37:24.475
card
ANON-0000-0000-0014
33.8
Americano with Milk
18
2024-03-02
2024-03-02 17:34:54.969
card
ANON-0000-0000-0004
28.9
Americano
25
2024-03-03
2024-03-03 17:08:45.895
card
ANON-0000-0000-0019
28.9
Cortado
27
2024-03-03
2024-03-03 18:04:27.946
card
ANON-0000-0000-0020
33.8
Americano with Milk
26
2024-03-03
2024-03-03 18:03:23.369
card
ANON-0000-0000-0020
33.8
Americano with Milk
24
2024-03-03
2024-03-03 17:06:40.271
card
ANON-0000-0000-0018
38.7
Cocoa
28
2024-03-03
2024-03-03 18:08:04.959
card
ANON-0000-0000-0020
38.7
Hot Chocolate
22
2024-03-03
2024-03-03 12:26:56.098
card
ANON-0000-0000-0012
28.9
Americano
21
2024-03-03
2024-03-03 11:33:56.118
card
ANON-0000-0000-0016
28.9
Cortado
20
2024-03-03
2024-03-03 10:27:18.561
card
ANON-0000-0000-0015
38.7
Latte
19
2024-03-03
2024-03-03 10:10:43.981
cash
null
40
Latte
23
2024-03-03
2024-03-03 13:09:36.321
card
ANON-0000-0000-0017
38.7
Hot Chocolate
29
2024-03-04
2024-03-04 10:03:51.994
card
ANON-0000-0000-0001
38.7
Latte
30
2024-03-04
2024-03-04 10:54:50.958
card
ANON-0000-0000-0021
38.7
Latte
31
2024-03-04
2024-03-04 11:05:16.184
card
ANON-0000-0000-0012
33.8
Americano with Milk
32
2024-03-04
2024-03-04 14:04:37.734
card
ANON-0000-0000-0022
24
Espresso
41
2024-03-05
2024-03-05 18:01:31.242
card
ANON-0000-0000-0028
38.7
Hot Chocolate
39
2024-03-05
2024-03-05 17:38:09.354
card
ANON-0000-0000-0009
38.7
Hot Chocolate
38
2024-03-05
2024-03-05 17:37:13.659
card
ANON-0000-0000-0027
38.7
Hot Chocolate
37
2024-03-05
2024-03-05 17:36:28.571
card
ANON-0000-0000-0026
38.7
Cocoa
40
2024-03-05
2024-03-05 17:56:15.776
card
ANON-0000-0000-0028
28.9
Cortado
35
2024-03-05
2024-03-05 17:34:06.043
card
ANON-0000-0000-0024
38.7
Latte
34
2024-03-05
2024-03-05 14:34:55.963
card
ANON-0000-0000-0023
38.7
Latte
33
2024-03-05
2024-03-05 09:59:52.651
card
ANON-0000-0000-0001
38.7
Latte
36
2024-03-05
2024-03-05 17:35:25.021
card
ANON-0000-0000-0025
38.7
Hot Chocolate
42
2024-03-06
2024-03-06 12:30:27.089
cash
null
35
Americano with Milk
43
2024-03-06
2024-03-06 13:24:07.667
card
ANON-0000-0000-0012
28.9
Americano
44
2024-03-06
2024-03-06 13:25:14.351
card
ANON-0000-0000-0012
28.9
Cortado
45
2024-03-06
2024-03-06 14:52:01.761
card
ANON-0000-0000-0029
38.7
Cappuccino
46
2024-03-06
2024-03-06 14:53:18.344
card
ANON-0000-0000-0029
38.7
Cappuccino
52
2024-03-07
2024-03-07 15:41:28.784
card
ANON-0000-0000-0033
33.8
Americano with Milk
51
2024-03-07
2024-03-07 15:40:22.606
card
ANON-0000-0000-0032
28.9
Americano
50
2024-03-07
2024-03-07 11:25:43.977
cash
null
40
Latte
47
2024-03-07
2024-03-07 10:08:58.945
cash
null
40
Latte
48
2024-03-07
2024-03-07 10:18:40.543
card
ANON-0000-0000-0030
38.7
Hot Chocolate
49
2024-03-07
2024-03-07 11:03:58.976
card
ANON-0000-0000-0031
38.7
Latte
58
2024-03-08
2024-03-08 14:46:11.155
card
ANON-0000-0000-0012
33.8
Americano with Milk
60
2024-03-08
2024-03-08 18:59:24.941
card
ANON-0000-0000-0037
38.7
Latte
59
2024-03-08
2024-03-08 18:57:51.451
card
ANON-0000-0000-0036
38.7
Latte
57
2024-03-08
2024-03-08 14:45:11.048
card
ANON-0000-0000-0033
28.9
Americano
56
2024-03-08
2024-03-08 14:44:12.686
card
ANON-0000-0000-0012
28.9
Americano
55
2024-03-08
2024-03-08 13:53:02.042
card
ANON-0000-0000-0035
28.9
Americano
54
2024-03-08
2024-03-08 12:22:28.653
card
ANON-0000-0000-0034
38.7
Cappuccino
53
2024-03-08
2024-03-08 10:34:41.283
card
ANON-0000-0000-0012
28.9
Cortado
74
2024-03-09
2024-03-09 19:19:10.084
card
ANON-0000-0000-0009
38.7
Hot Chocolate
73
2024-03-09
2024-03-09 19:17:57.572
card
ANON-0000-0000-0009
38.7
Cappuccino
72
2024-03-09
2024-03-09 14:26:52.873
card
ANON-0000-0000-0044
38.7
Hot Chocolate
70
2024-03-09
2024-03-09 13:54:36.828
card
ANON-0000-0000-0043
38.7
Cappuccino
69
2024-03-09
2024-03-09 13:53:10.408
card
ANON-0000-0000-0043
28.9
Cortado
68
2024-03-09
2024-03-09 13:41:06.167
card
ANON-0000-0000-0042
33.8
Americano with Milk
71
2024-03-09
2024-03-09 14:08:01.829
card
ANON-0000-0000-0009
33.8
Americano with Milk
66
2024-03-09
2024-03-09 12:14:26.458
card
ANON-0000-0000-0040
28.9
Americano
65
2024-03-09
2024-03-09 12:13:03.521
card
ANON-0000-0000-0040
28.9
Americano
64
2024-03-09
2024-03-09 12:09:47.714
card
ANON-0000-0000-0012
38.7
Cappuccino
63
2024-03-09
2024-03-09 12:07:38.275
card
ANON-0000-0000-0039
28.9
Americano
62
2024-03-09
2024-03-09 12:05:15.559
card
ANON-0000-0000-0038
24
Espresso
61
2024-03-09
2024-03-09 11:49:37.292
cash
null
40
Hot Chocolate
67
2024-03-09
2024-03-09 13:09:22.229
card
ANON-0000-0000-0041
38.7
Latte
81
2024-03-10
2024-03-10 19:35:54.712
card
ANON-0000-0000-0046
28.9
Cortado
80
2024-03-10
2024-03-10 19:34:00.478
card
ANON-0000-0000-0046
38.7
Latte
79
2024-03-10
2024-03-10 17:51:03.048
cash
null
35
Americano with Milk
76
2024-03-10
2024-03-10 07:45:29.441
cash
null
35
Americano with Milk
77
2024-03-10
2024-03-10 10:06:02.960
cash
null
40
Latte
75
2024-03-10
2024-03-10 07:44:18.538
cash
null
30
Americano
78
2024-03-10
2024-03-10 11:19:20.764
card
ANON-0000-0000-0045
24
Espresso
87
2024-03-11
2024-03-11 16:24:26.401
card
ANON-0000-0000-0047
28.9
Americano
89
2024-03-11
2024-03-11 16:50:49.608
card
ANON-0000-0000-0048
28.9
Cortado
88
2024-03-11
2024-03-11 16:25:45.664
card
ANON-0000-0000-0047
38.7
Latte
86
2024-03-11
2024-03-11 11:32:58.781
card
ANON-0000-0000-0035
38.7
Cappuccino
84
2024-03-11
2024-03-11 11:24:51.565
cash
null
30
Cortado
83
2024-03-11
2024-03-11 11:24:15.022
cash
null
40
Cappuccino
82
2024-03-11
2024-03-11 10:18:46.724
cash
null
40
Latte
85
2024-03-11
2024-03-11 11:26:44.221
cash
null
30
Americano
90
2024-03-12
2024-03-12 10:15:00.297
cash
null
40
Latte
91
2024-03-12
2024-03-12 10:15:34.543
card
ANON-0000-0000-0033
28.9
Americano
92
2024-03-12
2024-03-12 10:16:24.886
card
ANON-0000-0000-0033
28.9
Cortado
93
2024-03-12
2024-03-12 11:20:45.632
card
ANON-0000-0000-0049
38.7
Hot Chocolate
94
2024-03-12
2024-03-12 12:46:23.275
card
ANON-0000-0000-0004
33.8
Americano with Milk
95
2024-03-12
2024-03-12 12:47:26.027
card
ANON-0000-0000-0004
28.9
Americano
96
2024-03-12
2024-03-12 16:15:43.325
card
ANON-0000-0000-0050
28.9
Americano
99
2024-03-13
2024-03-13 12:18:06.336
card
ANON-0000-0000-0051
28.9
Americano
105
2024-03-13
2024-03-13 16:47:09.373
card
ANON-0000-0000-0054
24
Espresso
104
2024-03-13
2024-03-13 15:41:20.424
card
ANON-0000-0000-0053
24
Espresso
103
2024-03-13
2024-03-13 15:40:22.261
card
ANON-0000-0000-0053
24
Espresso
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