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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 |
End of preview.
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