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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)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 | 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.