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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 |
End of preview.
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