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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 1 new columns ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/lucacorbucci/silo-attribute/silo-attribute/AL_0.csv (at revision ab28d6ed56ca84c7e0598e3bf235fd50a5b09fd9)
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 643, 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
AGEP: double
COW: double
SCHL: double
MAR: double
OCCP: double
POBP: double
RELP: double
WKHP: double
SEX: double
RAC1P: double
PINCP: bool
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1585
to
{'AGEP': Value(dtype='float64', id=None), 'COW': Value(dtype='float64', id=None), 'SCHL': Value(dtype='float64', id=None), 'MAR': Value(dtype='float64', id=None), 'OCCP': Value(dtype='float64', id=None), 'POBP': Value(dtype='float64', id=None), 'RELP': Value(dtype='float64', id=None), 'WKHP': Value(dtype='float64', id=None), 'SEX': Value(dtype='float64', id=None), 'RAC1P': Value(dtype='float64', id=None), 'PINCP': Value(dtype='bool', 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 1433, 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 1 new columns ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/lucacorbucci/silo-attribute/silo-attribute/AL_0.csv (at revision ab28d6ed56ca84c7e0598e3bf235fd50a5b09fd9)
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.
AGEP
float64 | COW
float64 | SCHL
float64 | MAR
float64 | OCCP
float64 | POBP
float64 | RELP
float64 | WKHP
float64 | SEX
float64 | RAC1P
float64 | PINCP
bool |
|---|---|---|---|---|---|---|---|---|---|---|
65
| 1
| 19
| 1
| 3,602
| 6
| 1
| 56
| 2
| 1
| false
|
34
| 1
| 20
| 2
| 5,160
| 2
| 13
| 40
| 2
| 2
| false
|
49
| 3
| 22
| 1
| 2,310
| 120
| 1
| 40
| 2
| 1
| false
|
39
| 6
| 19
| 2
| 9,620
| 6
| 15
| 50
| 1
| 2
| false
|
57
| 1
| 16
| 1
| 4,700
| 41
| 0
| 40
| 2
| 1
| false
|
52
| 3
| 21
| 2
| 3,740
| 53
| 0
| 40
| 1
| 1
| false
|
20
| 3
| 18
| 2
| 3,401
| 2
| 17
| 45
| 1
| 2
| true
|
37
| 1
| 18
| 2
| 4,510
| 2
| 2
| 20
| 2
| 2
| false
|
58
| 1
| 16
| 1
| 440
| 2
| 1
| 40
| 1
| 2
| true
|
59
| 6
| 16
| 2
| 6,115
| 2
| 15
| 80
| 1
| 2
| false
|
53
| 2
| 18
| 1
| 3,655
| 2
| 1
| 30
| 2
| 2
| false
|
17
| 1
| 12
| 2
| 6,115
| 2
| 2
| 99
| 1
| 2
| false
|
66
| 6
| 19
| 1
| 6,230
| 19
| 1
| 40
| 1
| 1
| true
|
53
| 4
| 18
| 1
| 5,500
| 6
| 0
| 34
| 1
| 1
| false
|
57
| 5
| 11
| 1
| 5,940
| 53
| 0
| 40
| 1
| 1
| true
|
37
| 3
| 21
| 2
| 2,014
| 5
| 0
| 38
| 1
| 2
| true
|
44
| 1
| 19
| 2
| 4,040
| 6
| 0
| 36
| 2
| 1
| false
|
33
| 5
| 19
| 2
| 7,140
| 22
| 0
| 40
| 1
| 1
| false
|
28
| 3
| 16
| 2
| 5,860
| 2
| 13
| 40
| 2
| 2
| false
|
28
| 1
| 16
| 2
| 9,141
| 2
| 0
| 70
| 1
| 1
| true
|
64
| 8
| 20
| 1
| 8,640
| 26
| 0
| 40
| 1
| 1
| true
|
46
| 4
| 19
| 2
| 5,860
| 2
| 0
| 36
| 2
| 1
| false
|
28
| 3
| 16
| 2
| 440
| 2
| 3
| 20
| 2
| 2
| false
|
57
| 6
| 19
| 2
| 6,200
| 2
| 2
| 50
| 1
| 1
| true
|
48
| 6
| 23
| 1
| 2,100
| 42
| 0
| 40
| 1
| 1
| true
|
80
| 6
| 16
| 1
| 6,115
| 36
| 0
| 42
| 1
| 1
| false
|
50
| 1
| 17
| 1
| 4,840
| 26
| 1
| 40
| 1
| 1
| true
|
34
| 1
| 23
| 1
| 3,010
| 41
| 0
| 24
| 2
| 1
| true
|
60
| 3
| 20
| 1
| 530
| 53
| 0
| 30
| 2
| 2
| false
|
44
| 2
| 20
| 1
| 440
| 48
| 1
| 40
| 2
| 1
| true
|
27
| 1
| 11
| 2
| 9,645
| 2
| 3
| 84
| 1
| 2
| false
|
39
| 5
| 21
| 1
| 6,442
| 17
| 1
| 40
| 1
| 1
| true
|
65
| 6
| 21
| 2
| 2,600
| 23
| 0
| 72
| 2
| 1
| false
|
24
| 5
| 18
| 1
| 136
| 48
| 1
| 40
| 1
| 1
| false
|
35
| 1
| 21
| 1
| 2,014
| 16
| 1
| 40
| 2
| 1
| false
|
58
| 3
| 22
| 2
| 2,310
| 301
| 0
| 40
| 2
| 1
| true
|
63
| 1
| 16
| 1
| 9,620
| 6
| 0
| 40
| 2
| 1
| false
|
71
| 1
| 21
| 2
| 3,050
| 26
| 5
| 40
| 1
| 1
| false
|
52
| 6
| 21
| 2
| 2,360
| 19
| 0
| 50
| 1
| 1
| false
|
33
| 3
| 16
| 1
| 7,700
| 20
| 1
| 40
| 2
| 1
| true
|
59
| 7
| 16
| 1
| 6,410
| 2
| 0
| 40
| 1
| 1
| true
|
26
| 3
| 16
| 2
| 9,130
| 2
| 2
| 40
| 2
| 2
| false
|
68
| 1
| 19
| 1
| 4,230
| 233
| 17
| 70
| 1
| 2
| false
|
19
| 1
| 16
| 2
| 4,030
| 53
| 12
| 40
| 2
| 1
| false
|
42
| 3
| 23
| 1
| 1,530
| 2
| 1
| 40
| 1
| 1
| true
|
39
| 1
| 20
| 1
| 2,830
| 2
| 0
| 40
| 1
| 1
| true
|
25
| 5
| 21
| 2
| 9,310
| 12
| 12
| 40
| 1
| 1
| false
|
62
| 3
| 22
| 1
| 1,420
| 26
| 0
| 40
| 1
| 1
| true
|
31
| 1
| 12
| 1
| 7,855
| 233
| 5
| 60
| 1
| 2
| false
|
44
| 4
| 16
| 1
| 7,340
| 242
| 1
| 40
| 1
| 2
| false
|
23
| 3
| 19
| 2
| 2,310
| 2
| 0
| 40
| 1
| 2
| true
|
52
| 3
| 16
| 1
| 4,760
| 2
| 0
| 45
| 2
| 1
| false
|
41
| 1
| 17
| 2
| 9,130
| 2
| 0
| 50
| 2
| 2
| true
|
55
| 1
| 20
| 1
| 705
| 12
| 1
| 40
| 1
| 1
| true
|
46
| 3
| 16
| 2
| 7,410
| 2
| 13
| 99
| 1
| 2
| false
|
40
| 1
| 16
| 1
| 9,640
| 233
| 2
| 40
| 2
| 2
| false
|
37
| 1
| 16
| 1
| 8,030
| 233
| 0
| 80
| 1
| 2
| true
|
58
| 4
| 18
| 1
| 440
| 22
| 0
| 40
| 1
| 1
| true
|
76
| 3
| 11
| 1
| 6,210
| 2
| 0
| 40
| 1
| 2
| false
|
35
| 5
| 19
| 2
| 5,000
| 24
| 0
| 40
| 2
| 1
| true
|
65
| 7
| 19
| 1
| 205
| 41
| 0
| 99
| 1
| 1
| true
|
29
| 1
| 20
| 2
| 1,970
| 2
| 2
| 20
| 2
| 2
| false
|
32
| 5
| 22
| 1
| 9,830
| 39
| 0
| 60
| 1
| 1
| true
|
20
| 1
| 16
| 2
| 5,160
| 49
| 0
| 40
| 2
| 1
| false
|
34
| 1
| 13
| 2
| 4,230
| 2
| 13
| 35
| 2
| 2
| false
|
44
| 1
| 18
| 1
| 4,760
| 2
| 0
| 35
| 2
| 2
| false
|
49
| 6
| 16
| 2
| 310
| 2
| 0
| 40
| 2
| 2
| false
|
51
| 3
| 20
| 1
| 8,600
| 2
| 1
| 60
| 1
| 2
| false
|
35
| 1
| 19
| 2
| 5,240
| 6
| 0
| 40
| 2
| 1
| false
|
62
| 1
| 16
| 1
| 3,930
| 26
| 0
| 15
| 2
| 1
| false
|
20
| 3
| 16
| 2
| 9,130
| 2
| 2
| 40
| 1
| 2
| false
|
39
| 1
| 16
| 1
| 5,600
| 18
| 1
| 40
| 2
| 1
| true
|
44
| 1
| 21
| 2
| 6,950
| 49
| 17
| 84
| 1
| 1
| true
|
24
| 5
| 18
| 1
| 9,810
| 12
| 0
| 60
| 1
| 1
| false
|
46
| 1
| 19
| 1
| 6,950
| 30
| 17
| 93
| 1
| 1
| true
|
39
| 1
| 16
| 2
| 4,760
| 46
| 0
| 40
| 2
| 2
| false
|
42
| 2
| 19
| 1
| 2,040
| 6
| 0
| 60
| 1
| 1
| false
|
23
| 3
| 16
| 2
| 6,305
| 2
| 2
| 50
| 1
| 2
| true
|
35
| 1
| 22
| 2
| 3,255
| 2
| 0
| 50
| 2
| 1
| true
|
56
| 3
| 16
| 2
| 5,940
| 2
| 0
| 30
| 2
| 2
| false
|
42
| 1
| 16
| 1
| 7,130
| 15
| 0
| 50
| 2
| 2
| true
|
40
| 6
| 20
| 1
| 440
| 41
| 1
| 40
| 1
| 1
| true
|
40
| 1
| 17
| 2
| 5,300
| 2
| 2
| 40
| 2
| 2
| true
|
27
| 1
| 16
| 1
| 5,400
| 2
| 1
| 40
| 2
| 2
| false
|
44
| 1
| 19
| 1
| 440
| 39
| 1
| 50
| 2
| 1
| true
|
28
| 1
| 16
| 1
| 7,330
| 233
| 0
| 60
| 1
| 2
| true
|
64
| 3
| 22
| 1
| 2,310
| 27
| 0
| 40
| 2
| 1
| true
|
57
| 3
| 21
| 2
| 3,160
| 31
| 0
| 40
| 2
| 1
| true
|
19
| 1
| 18
| 2
| 6,260
| 2
| 17
| 40
| 1
| 1
| false
|
49
| 1
| 20
| 2
| 9,430
| 2
| 13
| 30
| 1
| 2
| false
|
48
| 1
| 15
| 1
| 9,620
| 8
| 1
| 30
| 1
| 1
| true
|
50
| 1
| 16
| 2
| 4,110
| 223
| 0
| 20
| 2
| 2
| false
|
58
| 1
| 18
| 1
| 440
| 19
| 1
| 40
| 2
| 1
| true
|
21
| 1
| 19
| 2
| 9,005
| 2
| 13
| 50
| 1
| 1
| false
|
45
| 1
| 20
| 1
| 5,260
| 2
| 1
| 30
| 2
| 1
| false
|
37
| 1
| 16
| 1
| 6,442
| 53
| 0
| 40
| 1
| 1
| true
|
25
| 1
| 19
| 2
| 9,121
| 27
| 15
| 30
| 1
| 1
| false
|
57
| 1
| 21
| 1
| 6,200
| 301
| 1
| 70
| 1
| 1
| true
|
23
| 5
| 19
| 2
| 3,870
| 45
| 0
| 40
| 2
| 1
| false
|
58
| 1
| 17
| 1
| 5,240
| 2
| 0
| 24
| 2
| 1
| false
|
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