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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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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