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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 4 new columns ({'cds', 'users_id', 'date', 'amt'}) and 6 missing columns ({'age', 'gender', 'zone', 'age_category', 'state', 'id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ZennyKenny/CDNOW/purchases.csv (at revision 3400bd38e52a012e691bcddd168504187edbfa55)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              users_id: int64
              date: string
              cds: int64
              amt: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 694
              to
              {'id': Value(dtype='int64', id=None), 'zone': Value(dtype='string', id=None), 'state': Value(dtype='string', id=None), 'gender': Value(dtype='string', id=None), 'age_category': Value(dtype='string', id=None), 'age': Value(dtype='int64', 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 4 new columns ({'cds', 'users_id', 'date', 'amt'}) and 6 missing columns ({'age', 'gender', 'zone', 'age_category', 'state', 'id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ZennyKenny/CDNOW/purchases.csv (at revision 3400bd38e52a012e691bcddd168504187edbfa55)
              
              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
zone
string
state
string
gender
string
age_category
string
age
int64
1
Pacific
Oregon
M
young
26
2
Eastern
New Jersey
M
medium
36
3
Central
Minnesota
M
young
17
4
Eastern
Michigan
M
medium
56
5
Eastern
New Jersey
M
medium
46
6
Mountain
New Mexico
M
medium
35
7
Central
Nebraska
F
null
30
8
Eastern
Indiana
M
young
20
9
Mountain
Colorado
M
medium
45
10
Eastern
Ohio
F
medium
40
11
Eastern
New York
F
medium
40
12
Eastern
North Carolina
F
medium
51
13
Eastern
North Carolina
M
young
28
14
Pacific
California
F
medium
55
15
Central
Louisiana
M
young
22
16
Mountain
New Mexico
F
null
30
17
Eastern
Kentucky
F
medium
37
18
Central
Louisiana
F
young
24
19
Central
Texas
M
medium
53
20
Eastern
Maryland
M
young
17
21
Central
Illinois
F
medium
43
22
Central
Louisiana
F
medium
38
23
Central
North Dakota
F
young
25
24
Central
Illinois
M
medium
37
25
Central
Alabama
F
young
20
26
Eastern
Maryland
F
medium
41
27
Eastern
Florida
M
medium
36
28
Eastern
Massachusetts
F
young
28
29
Central
Texas
F
medium
44
30
Mountain
New Mexico
F
young
21
31
Mountain
Arizona
F
young
21
32
Eastern
Massachusetts
M
young
28
33
Central
Iowa
F
young
29
34
Eastern
New York
F
medium
48
35
Central
Missouri
M
medium
56
36
Central
Oklahoma
M
medium
40
37
Central
Oklahoma
F
medium
46
38
Eastern
Ohio
M
medium
46
39
Central
Alabama
F
young
21
40
Eastern
Pennsylvania
F
medium
57
41
Eastern
North Carolina
M
medium
42
42
Central
Illinois
F
young
19
43
Eastern
Michigan
F
medium
49
44
Eastern
Indiana
M
null
30
45
Mountain
Arizona
F
medium
34
46
Mountain
Arizona
F
medium
35
47
Eastern
New York
M
young
28
48
Mountain
Colorado
M
medium
34
49
Mountain
Colorado
F
null
30
50
Central
Illinois
M
old
62
51
Central
Illinois
M
null
30
52
Eastern
North Carolina
M
medium
39
53
Central
Arkansas
M
null
30
54
Pacific
Oregon
F
young
25
55
Central
Iowa
M
medium
31
56
Mountain
Arizona
F
medium
40
57
Mountain
Arizona
F
medium
35
58
Mountain
New Mexico
M
medium
56
59
Central
Tennessee
F
young
24
60
Eastern
New Jersey
F
medium
50
61
Eastern
New York
M
medium
53
62
Central
Minnesota
M
old
63
63
Eastern
New York
F
young
24
64
Central
Louisiana
F
old
76
65
Eastern
New Jersey
F
old
67
66
Pacific
Oregon
M
medium
31
67
Eastern
Delaware
M
medium
35
68
Eastern
Florida
F
young
26
69
Central
Tennessee
M
medium
52
70
Central
Wisconsin
F
medium
42
71
Central
Texas
M
young
23
72
Pacific
California
F
young
29
73
Eastern
New Jersey
M
medium
57
74
Eastern
New Jersey
F
medium
41
75
Pacific
California
M
medium
45
76
Eastern
Pennsylvania
M
young
18
77
Eastern
Indiana
F
medium
56
78
Central
Minnesota
F
medium
48
79
Eastern
Michigan
F
medium
34
80
Mountain
Idaho
M
medium
37
81
Central
Texas
F
old
61
82
Central
Missouri
F
young
19
83
Central
Texas
F
medium
44
84
Eastern
New York
F
young
20
85
Eastern
Pennsylvania
F
medium
50
86
Pacific
Nevada
F
young
25
87
Central
Oklahoma
M
young
18
88
Central
Minnesota
M
medium
59
89
Mountain
Colorado
M
medium
38
90
Central
Illinois
M
medium
41
91
Mountain
Colorado
M
medium
36
92
Eastern
Massachusetts
M
medium
46
93
Mountain
Idaho
F
medium
40
94
Mountain
Colorado
F
medium
46
95
Eastern
New York
M
medium
33
96
Mountain
Colorado
M
medium
47
97
Eastern
Pennsylvania
F
medium
50
98
Eastern
Kentucky
M
medium
31
99
Eastern
North Carolina
M
medium
37
100
Mountain
Arizona
F
young
25
End of preview.