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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 ({'metadata', 'event_id', 'timestamp', 'event_type'}) and 9 missing columns ({'location', 'education', 'device', 'account_age_days', 'age', 'loyalty_status', 'premium', 'gender', 'income'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SuriyaSureshkumar/ecommerce_features/event_logs_sample.csv (at revision 9290cc7935d18516a5bbdecbb27ff791ee667346)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
event_id: string
user_id: string
timestamp: string
event_type: string
metadata: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 847
to
{'user_id': Value('string'), 'age': Value('int64'), 'gender': Value('string'), 'location': Value('string'), 'income': Value('int64'), 'education': Value('string'), 'loyalty_status': Value('string'), 'account_age_days': Value('int64'), 'premium': Value('bool'), 'device': Value('string')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 ({'metadata', 'event_id', 'timestamp', 'event_type'}) and 9 missing columns ({'location', 'education', 'device', 'account_age_days', 'age', 'loyalty_status', 'premium', 'gender', 'income'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SuriyaSureshkumar/ecommerce_features/event_logs_sample.csv (at revision 9290cc7935d18516a5bbdecbb27ff791ee667346)
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.
user_id
string | age
int64 | gender
string | location
string | income
int64 | education
string | loyalty_status
string | account_age_days
int64 | premium
bool | device
string |
|---|---|---|---|---|---|---|---|---|---|
c4ca4238a0b9
| 27
|
Male
|
East
| 40,682
|
Bachelor
|
Gold
| 31
| true
|
Web
|
c81e728d9d4c
| 29
|
Male
|
West
| 15,317
|
Masters
|
Regular
| 861
| false
|
iOS
|
eccbc87e4b5c
| 37
|
Male
|
West
| 38,849
|
Bachelor
|
Silver
| 16
| true
|
iOS
|
a87ff679a2f3
| 30
|
Male
|
South
| 11,568
|
HighSchool
|
Regular
| 1
| false
|
iOS
|
e4da3b7fbbce
| 31
|
Female
|
North
| 46,952
|
College
|
Regular
| 11
| false
|
Web
|
1679091c5a88
| 38
|
Male
|
South
| 7,347
|
Bachelor
|
Silver
| 283
| true
|
Web
|
8f14e45fceea
| 32
|
Female
|
South
| 8,265
|
Bachelor
|
Silver
| 114
| true
|
Android
|
c9f0f895fb98
| 24
|
Female
|
North
| 47,773
|
HighSchool
|
Regular
| 1,407
| false
|
Android
|
45c48cce2e2d
| 27
|
Male
|
East
| 19,154
|
College
|
Regular
| 229
| false
|
Web
|
d3d9446802a4
| 28
|
Female
|
North
| 24,666
|
HighSchool
|
Regular
| 109
| false
|
iOS
|
6512bd43d9ca
| 35
|
Male
|
South
| 43,896
|
HighSchool
|
Regular
| 12
| false
|
iOS
|
c20ad4d76fe9
| 32
|
Female
|
North
| 40,044
|
Bachelor
|
Silver
| 16
| true
|
iOS
|
c51ce410c124
| 32
|
Male
|
East
| 6,735
|
College
|
Silver
| 51
| true
|
iOS
|
aab3238922bc
| 30
|
Female
|
East
| 19,034
|
Bachelor
|
Regular
| 18
| false
|
Android
|
9bf31c7ff062
| 28
|
Male
|
North
| 35,748
|
Bachelor
|
Silver
| 353
| true
|
Android
|
c74d97b01eae
| 38
|
Female
|
West
| 26,282
|
College
|
Silver
| 757
| true
|
Android
|
70efdf2ec9b0
| 32
|
Male
|
South
| 49,088
|
Bachelor
|
Regular
| 15
| false
|
Android
|
6f4922f45568
| 21
|
Female
|
West
| 20,163
|
College
|
Regular
| 77
| false
|
Web
|
1f0e3dad9990
| 33
|
Female
|
West
| 10,660
|
Bachelor
|
Regular
| 317
| false
|
iOS
|
98f137082101
| 28
|
Male
|
East
| 40,725
|
HighSchool
|
Regular
| 61
| false
|
iOS
|
3c59dc048e88
| 25
|
Female
|
North
| 46,173
|
College
|
Regular
| 11
| false
|
Web
|
b6d767d2f8ed
| 29
|
Male
|
West
| 37,894
|
College
|
Silver
| 661
| true
|
iOS
|
37693cfc7480
| 25
|
Female
|
West
| 8,936
|
College
|
Regular
| 90
| false
|
Android
|
1ff1de774005
| 27
|
Female
|
North
| 36,226
|
College
|
Regular
| 80
| false
|
Web
|
8e296a067a37
| 27
|
Male
|
West
| 40,646
|
Bachelor
|
Gold
| 48
| true
|
iOS
|
4e732ced3463
| 22
|
Female
|
West
| 7,915
|
College
|
Silver
| 500
| true
|
iOS
|
02e74f10e032
| 34
|
Male
|
North
| 39,287
|
Masters
|
Regular
| 6
| false
|
iOS
|
33e75ff09dd6
| 31
|
Female
|
West
| 42,196
|
College
|
Regular
| 223
| false
|
Android
|
6ea9ab1baa0e
| 25
|
Female
|
West
| 38,932
|
Bachelor
|
Silver
| 5
| true
|
iOS
|
34173cb38f07
| 36
|
Male
|
East
| 42,955
|
Bachelor
|
Regular
| 938
| false
|
iOS
|
c16a5320fa47
| 32
|
Female
|
West
| 6,952
|
Bachelor
|
Regular
| 66
| false
|
Android
|
6364d3f0f495
| 29
|
Male
|
South
| 26,915
|
Bachelor
|
Regular
| 19
| false
|
iOS
|
182be0c5cdcd
| 34
|
Male
|
East
| 9,545
|
College
|
Silver
| 987
| true
|
Android
|
e369853df766
| 34
|
Female
|
East
| 13,128
|
College
|
Gold
| 787
| true
|
iOS
|
1c383cd30b7c
| 34
|
Male
|
East
| 13,820
|
College
|
Regular
| 119
| false
|
Android
|
19ca14e7ea63
| 33
|
Male
|
North
| 43,701
|
College
|
Regular
| 240
| false
|
Android
|
a5bfc9e07964
| 32
|
Male
|
East
| 41,024
|
Bachelor
|
Silver
| 19
| true
|
iOS
|
a5771bce93e2
| 30
|
Male
|
East
| 42,930
|
Masters
|
Regular
| 42
| false
|
Android
|
d67d8ab4f4c1
| 29
|
Female
|
North
| 25,750
|
Bachelor
|
Regular
| 664
| false
|
Android
|
d645920e395f
| 28
|
Female
|
East
| 46,720
|
HighSchool
|
Silver
| 316
| true
|
Android
|
3416a75f4cea
| 27
|
Male
|
West
| 41,298
|
Bachelor
|
Gold
| 31
| true
|
Android
|
a1d0c6e83f02
| 29
|
Female
|
East
| 5,513
|
Bachelor
|
Regular
| 332
| false
|
Android
|
17e62166fc85
| 24
|
Male
|
West
| 13,482
|
Bachelor
|
Regular
| 333
| false
|
Web
|
f7177163c833
| 40
|
Male
|
East
| 14,522
|
HighSchool
|
Regular
| 17
| false
|
iOS
|
6c8349cc7260
| 35
|
Female
|
East
| 24,758
|
Bachelor
|
Regular
| 47
| false
|
iOS
|
d9d4f495e875
| 25
|
Male
|
West
| 45,527
|
Bachelor
|
Gold
| 129
| true
|
iOS
|
67c6a1e7ce56
| 28
|
Male
|
South
| 6,755
|
College
|
Regular
| 642
| false
|
Android
|
642e92efb794
| 28
|
Male
|
North
| 45,358
|
College
|
Regular
| 69
| false
|
iOS
|
f457c545a9de
| 33
|
Female
|
East
| 12,972
|
College
|
Silver
| 66
| true
|
Web
|
c0c7c76d30bd
| 30
|
Male
|
West
| 31,837
|
Bachelor
|
Silver
| 598
| true
|
iOS
|
2838023a778d
| 31
|
Female
|
South
| 29,373
|
College
|
Regular
| 2
| false
|
iOS
|
9a1158154dfa
| 30
|
Male
|
North
| 28,752
|
College
|
Silver
| 324
| true
|
Android
|
d82c8d1619ad
| 30
|
Male
|
West
| 8,328
|
HighSchool
|
Silver
| 27
| true
|
Android
|
a684eceee76f
| 36
|
Female
|
East
| 22,078
|
College
|
Regular
| 305
| false
|
Web
|
b53b3a3d6ab9
| 29
|
Female
|
West
| 15,865
|
College
|
Regular
| 312
| false
|
iOS
|
9f61408e3afb
| 37
|
Female
|
East
| 6,818
|
College
|
Regular
| 19
| false
|
Android
|
72b32a1f754b
| 23
|
Male
|
East
| 44,939
|
Masters
|
Gold
| 38
| true
|
Android
|
66f041e16a60
| 33
|
Male
|
West
| 47,716
|
College
|
Regular
| 506
| false
|
Android
|
093f65e080a2
| 31
|
Female
|
West
| 10,315
|
College
|
Silver
| 85
| true
|
Android
|
072b030ba126
| 31
|
Female
|
West
| 13,873
|
HighSchool
|
Regular
| 87
| false
|
iOS
|
7f39f8317fbd
| 32
|
Male
|
East
| 8,679
|
HighSchool
|
Silver
| 18
| true
|
iOS
|
44f683a84163
| 28
|
Female
|
North
| 23,397
|
HighSchool
|
Regular
| 28
| false
|
iOS
|
03afdbd66e79
| 29
|
Female
|
North
| 34,677
|
Masters
|
Gold
| 330
| true
|
iOS
|
ea5d2f1c4608
| 25
|
Female
|
West
| 19,249
|
HighSchool
|
Silver
| 230
| true
|
Android
|
fc490ca45c00
| 25
|
Female
|
West
| 7,346
|
College
|
Silver
| 71
| true
|
Android
|
3295c76acbf4
| 31
|
Female
|
North
| 9,888
|
Bachelor
|
Gold
| 56
| true
|
Android
|
735b90b45681
| 32
|
Female
|
East
| 33,549
|
College
|
Regular
| 876
| false
|
iOS
|
a3f390d88e4c
| 30
|
Male
|
South
| 22,871
|
Bachelor
|
Regular
| 557
| false
|
Android
|
14bfa6bb1487
| 34
|
Male
|
East
| 43,035
|
Bachelor
|
Regular
| 30
| false
|
Android
|
7cbbc409ec99
| 39
|
Female
|
West
| 17,226
|
College
|
Silver
| 28
| true
|
iOS
|
e2c420d928d4
| 28
|
Male
|
West
| 40,025
|
College
|
Silver
| 81
| true
|
iOS
|
32bb90e8976a
| 20
|
Female
|
East
| 49,144
|
Bachelor
|
Silver
| 42
| true
|
Android
|
d2ddea18f006
| 34
|
Female
|
East
| 17,948
|
College
|
Silver
| 732
| true
|
Android
|
ad61ab143223
| 27
|
Male
|
West
| 30,376
|
Masters
|
Regular
| 65
| false
|
Web
|
d09bf41544a3
| 27
|
Male
|
North
| 31,926
|
HighSchool
|
Silver
| 77
| true
|
Android
|
fbd7939d6749
| 35
|
Female
|
East
| 8,133
|
Masters
|
Regular
| 254
| false
|
Web
|
28dd2c7955ce
| 29
|
Male
|
South
| 12,930
|
HighSchool
|
Silver
| 926
| true
|
Android
|
35f4a8d465e6
| 25
|
Female
|
West
| 13,114
|
Bachelor
|
Silver
| 614
| true
|
Android
|
d1fe173d08e9
| 31
|
Female
|
West
| 29,452
|
College
|
Regular
| 41
| false
|
iOS
|
f033ab37c302
| 29
|
Female
|
North
| 32,324
|
Bachelor
|
Regular
| 473
| false
|
iOS
|
43ec517d68b6
| 30
|
Female
|
East
| 24,706
|
HighSchool
|
Regular
| 79
| false
|
Android
|
9778d5d219c5
| 32
|
Male
|
East
| 5,778
|
Bachelor
|
Regular
| 32
| false
|
Android
|
fe9fc289c3ff
| 28
|
Female
|
South
| 12,977
|
HighSchool
|
Regular
| 452
| false
|
Android
|
68d30a959472
| 33
|
Female
|
South
| 43,758
|
HighSchool
|
Silver
| 172
| true
|
Web
|
3ef815416f77
| 29
|
Female
|
West
| 49,741
|
Masters
|
Regular
| 27
| false
|
iOS
|
93db85ed909c
| 31
|
Male
|
East
| 6,994
|
Bachelor
|
Gold
| 57
| true
|
Android
|
c7e1249ffc03
| 35
|
Female
|
North
| 14,104
|
HighSchool
|
Silver
| 628
| true
|
Android
|
2a38a4a9316c
| 32
|
Male
|
West
| 32,621
|
College
|
Silver
| 898
| true
|
Android
|
7647966b7343
| 29
|
Female
|
West
| 40,520
|
College
|
Silver
| 67
| true
|
Web
|
8613985ec49e
| 35
|
Male
|
South
| 40,735
|
HighSchool
|
Regular
| 33
| false
|
iOS
|
54229abfcfa5
| 34
|
Female
|
North
| 19,281
|
College
|
Regular
| 19
| false
|
Android
|
92cc227532d1
| 32
|
Male
|
East
| 40,219
|
College
|
Regular
| 743
| false
|
iOS
|
98dce83da57b
| 31
|
Female
|
South
| 18,963
|
College
|
Silver
| 128
| true
|
Android
|
f4b9ec30ad9f
| 27
|
Female
|
East
| 25,836
|
College
|
Gold
| 298
| true
|
Android
|
812b4ba287f5
| 36
|
Female
|
West
| 6,161
|
Bachelor
|
Regular
| 110
| false
|
iOS
|
26657d5ff902
| 27
|
Female
|
West
| 9,697
|
Masters
|
Silver
| 25
| true
|
Android
|
e2ef524fbf3d
| 40
|
Male
|
South
| 35,606
|
Bachelor
|
Gold
| 43
| true
|
Android
|
ed3d2c21991e
| 37
|
Male
|
South
| 6,856
|
Bachelor
|
Silver
| 976
| true
|
Android
|
ac627ab1ccbd
| 29
|
Male
|
East
| 5,135
|
Bachelor
|
Regular
| 32
| false
|
Android
|
f899139df5e1
| 25
|
Male
|
South
| 6,158
|
College
|
Regular
| 1,790
| false
|
Android
|
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