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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 ({'0'}) and 15 missing columns ({'session_id', 'product_category_2', 'gender', 'user_depth', 'product', 'user_group_id', 'campaign_id', 'age_level', 'product_category_1', 'city_development_index', 'is_click', 'webpage_id', 'var_1', 'user_id', 'DateTime'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chagu13/is_click_data/y_test_1st.csv (at revision 812d4772cb0269cc9851dbbc7be0263f59d2e60e)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 362
to
{'session_id': Value(dtype='float64', id=None), 'DateTime': Value(dtype='string', id=None), 'user_id': Value(dtype='float64', id=None), 'product': Value(dtype='string', id=None), 'campaign_id': Value(dtype='float64', id=None), 'webpage_id': Value(dtype='float64', id=None), 'product_category_1': Value(dtype='float64', id=None), 'product_category_2': Value(dtype='float64', id=None), 'user_group_id': Value(dtype='float64', id=None), 'gender': Value(dtype='string', id=None), 'age_level': Value(dtype='float64', id=None), 'user_depth': Value(dtype='float64', id=None), 'city_development_index': Value(dtype='float64', id=None), 'var_1': Value(dtype='float64', id=None), 'is_click': Value(dtype='float64', 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 1420, 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 1052, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 ({'0'}) and 15 missing columns ({'session_id', 'product_category_2', 'gender', 'user_depth', 'product', 'user_group_id', 'campaign_id', 'age_level', 'product_category_1', 'city_development_index', 'is_click', 'webpage_id', 'var_1', 'user_id', 'DateTime'}).
This happened while the csv dataset builder was generating data using
hf://datasets/chagu13/is_click_data/y_test_1st.csv (at revision 812d4772cb0269cc9851dbbc7be0263f59d2e60e)
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.
session_id
float64 | DateTime
string | user_id
float64 | product
string | campaign_id
float64 | webpage_id
float64 | product_category_1
float64 | product_category_2
float64 | user_group_id
float64 | gender
string | age_level
float64 | user_depth
float64 | city_development_index
float64 | var_1
float64 | is_click
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
98,528
|
2017-07-04 16:42
| 7,716
|
C
| 405,490
| 60,305
| 3
| null | 3
|
Male
| 3
| 3
| null | 1
| 1
|
589,714
|
2017-07-07 07:40
| 1,035,283
|
I
| 118,601
| 28,529
| 4
| 82,527
| 10
|
Female
| 4
| 3
| 3
| 1
| 0
|
478,652
|
2017-07-07 20:42
| 65,994
|
H
| 359,520
| 13,787
| 4
| null | 4
|
Male
| 4
| 3
| 2
| 0
| 0
|
34,536
|
2017-07-05 15:05
| 75,976
|
H
| 405,490
| 60,305
| 3
| null | 3
|
Male
| 3
| 3
| 3
| 0
| 0
|
71,863
|
2017-07-06 20:11
| 987,498
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| 2
| 0
| 0
|
255,052
|
2017-07-04 21:40
| 519,554
|
I
| 396,664
| 51,181
| 1
| null | null | null | null | null | null | 1
| 1
|
226,591
|
2017-07-07 09:43
| 1,123,277
|
D
| 105,960
| 11,085
| 5
| null | 5
|
Male
| 5
| 3
| 2
| 0
| 0
|
184,142
|
2017-07-06 16:26
| 768,870
|
C
| 359,520
| 13,787
| 4
| null | 4
|
Male
| 4
| 3
| 2
| 0
| 0
|
378,014
|
2017-07-03 05:21
| 53,849
|
D
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
480,758
|
2017-07-07 12:30
| 586,553
|
H
| 359,520
| 13,787
| 5
| null | 4
|
Male
| 4
| 3
| null | 1
| 0
|
187,261
|
2017-07-05 21:37
| 279,979
|
C
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
462,713
|
2017-07-07 13:41
| 611,151
|
D
| 98,970
| 6,970
| 4
| null | 4
|
Male
| 4
| 3
| 2
| 0
| 0
|
227,752
|
2017-07-07 06:12
| 629,012
|
G
| 118,601
| 28,529
| 4
| 82,527
| 2
|
Male
| 2
| 3
| 3
| 0
| 1
|
178,301
|
2017-07-02 10:01
| 75,115
|
C
| 359,520
| 13,787
| 4
| null | 9
|
Female
| 3
| 3
| 4
| 0
| 0
|
50,728
|
2017-07-04 09:42
| 466,113
|
C
| 405,490
| 60,305
| 3
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
530,762
|
2017-07-07 13:33
| 12,587
|
E
| 98,970
| 6,970
| 2
| null | 4
|
Male
| 4
| 3
| 3
| 1
| 0
|
217,239
|
2017-07-06 14:23
| 539,227
|
H
| 118,601
| 28,529
| 5
| 82,527
| 3
|
Male
| 3
| 3
| 3
| 1
| 0
|
150,737
|
2017-07-07 12:59
| 584,381
|
I
| 359,520
| 13,787
| 2
| null | 1
|
Male
| 1
| 3
| 1
| 1
| 0
|
534,468
|
2017-07-06 10:13
| 186,019
|
E
| 98,970
| 6,970
| 2
| null | 4
|
Male
| 4
| 3
| 2
| 1
| 0
|
148,901
|
2017-07-07 15:04
| 25,356
|
I
| 359,520
| 13,787
| 2
| null | 2
|
Male
| 2
| 2
| null | 1
| 0
|
150,847
|
2017-07-02 18:10
| 697,407
|
I
| 359,520
| 13,787
| 2
| null | 8
|
Female
| 2
| 3
| 2
| 0
| 0
|
486,379
|
2017-07-07 21:44
| 107,053
|
H
| 359,520
| 13,787
| 3
| null | 3
|
Male
| 3
| 3
| 4
| 1
| 0
|
120,655
|
2017-07-06 17:50
| 159,348
|
D
| 82,320
| 1,734
| 1
| 146,115
| 4
|
Male
| 4
| 3
| 2
| 0
| 0
|
50,804
|
2017-07-03 08:05
| 941,479
|
C
| 405,490
| 60,305
| 3
| null | 1
|
Male
| 1
| 2
| null | 0
| 0
|
1,776
|
2017-07-04 13:54
| 463,414
|
I
| 404,347
| 53,587
| 1
| 146,115
| 9
|
Female
| 3
| 3
| null | 0
| 0
|
69,920
|
2017-07-07 19:26
| 569,321
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| null | 1
| 0
|
117,585
|
2017-07-06 06:34
| 953,825
|
F
| 414,149
| 45,962
| 2
| null | null | null | null | null | null | 0
| 0
|
306,457
|
2017-07-05 08:43
| 645,125
|
C
| 360,936
| 13,787
| 5
| null | 3
|
Male
| 3
| 3
| 2
| 0
| 0
|
7,814
|
2017-07-02 19:44
| 980,586
|
C
| 105,960
| 11,085
| 5
| 270,915
| 3
|
Male
| 3
| 3
| 1
| 0
| 0
|
278,404
|
2017-07-04 20:59
| 46,082
|
D
| 98,970
| 6,970
| 4
| null | 2
|
Male
| 2
| 3
| 2
| 1
| 0
|
72,099
|
2017-07-06 08:18
| 9,128
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 1
|
315,440
|
2017-07-05 07:42
| 456,373
|
H
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 2
| null | 0
| 0
|
490,711
|
2017-07-06 20:00
| 113,333
|
H
| 359,520
| 13,787
| 3
| null | 4
|
Male
| 4
| 3
| 4
| 1
| 0
|
141,508
|
2017-07-07 15:09
| 418,992
|
C
| 359,520
| 13,787
| 4
| null | 8
|
Female
| 2
| 3
| 4
| 1
| 0
|
389,780
|
2017-07-05 16:27
| 961,219
|
C
| 414,149
| 45,962
| 5
| 254,132
| 3
|
Male
| 3
| 3
| 3
| 0
| 1
|
205,768
|
2017-07-07 08:40
| 666,257
|
H
| 404,347
| 53,587
| 1
| null | 3
|
Male
| 3
| 3
| null | 0
| 0
|
456,192
|
2017-07-02 01:03
| 1,023,991
|
C
| 360,936
| 13,787
| 3
| null | 2
|
Male
| 2
| 3
| 2
| 1
| 0
|
146,265
|
2017-07-06 16:50
| 810,626
|
C
| 359,520
| 13,787
| 4
| null | 2
|
Male
| 2
| 3
| 2
| 1
| 0
|
121,083
|
2017-07-03 18:25
| 879,875
|
H
| 82,320
| 1,734
| 1
| 146,115
| 1
|
Male
| 1
| 3
| 4
| 0
| 0
|
413,813
|
2017-07-02 13:55
| 484,859
|
J
| 404,347
| 53,587
| 1
| null | 2
|
Male
| 2
| 3
| null | 0
| 1
|
29,953
|
2017-07-03 14:14
| 920,649
|
B
| 360,936
| 13,787
| 2
| null | 2
|
Male
| 2
| 2
| null | 0
| 0
|
520,668
|
2017-07-04 17:15
| 811,061
|
A
| 405,490
| 60,305
| 2
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
187,950
|
2017-07-02 08:00
| 39,593
|
C
| 359,520
| 13,787
| 4
| null | 4
|
Male
| 4
| 3
| 3
| 1
| 0
|
473,570
|
2017-07-03 05:26
| 56,534
|
H
| 359,520
| 13,787
| 4
| null | 6
|
Male
| 6
| 2
| 4
| 0
| 0
|
222,326
|
2017-07-06 05:34
| 222,462
|
F
| 118,601
| 28,529
| 5
| 82,527
| 3
|
Male
| 3
| 3
| 1
| 1
| 0
|
140,993
|
2017-07-03 07:46
| 633,204
|
C
| 359,520
| 13,787
| 4
| null | 2
|
Male
| 2
| 3
| 2
| 0
| 0
|
285,975
|
2017-07-02 20:59
| 1,102,429
|
C
| 405,490
| 60,305
| 2
| null | 3
|
Male
| 3
| 3
| 1
| 1
| 0
|
432,463
|
2017-07-05 13:32
| 434,420
|
H
| 404,347
| 53,587
| 1
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 0
|
59,681
|
2017-07-02 06:03
| 182,903
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| 2
| 0
| 0
|
290,126
|
2017-07-05 15:19
| 1,030,169
|
C
| 360,936
| 13,787
| 5
| null | 3
|
Male
| 3
| 3
| 3
| 1
| 0
|
193,043
|
2017-07-05 16:52
| 618,767
|
C
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
557,518
|
2017-07-05 09:56
| 523,609
|
H
| 414,149
| 45,962
| 3
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 0
|
425,537
|
2017-07-07 15:37
| 25,021
|
E
| 404,347
| 53,587
| 1
| 146,115
| 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
152,448
|
2017-07-03 09:50
| 320,249
|
B
| 359,520
| 13,787
| 2
| null | 3
|
Male
| 3
| 3
| 4
| 1
| 0
|
379,718
|
2017-07-07 05:08
| 80,150
|
C
| 105,960
| 11,085
| 5
| 270,915
| 9
|
Female
| 3
| 3
| 4
| 1
| 0
|
15,111
|
2017-07-03 04:09
| 67,347
|
B
| 404,347
| 53,587
| 1
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
255,364
|
2017-07-05 10:34
| 295,581
|
I
| 396,664
| 51,181
| 1
| null | 1
|
Male
| 1
| 3
| null | 0
| 0
|
7,961
|
2017-07-03 14:47
| 537,740
|
C
| 105,960
| 11,085
| 5
| 270,915
| 5
|
Male
| 5
| 3
| 2
| 1
| 0
|
507,755
|
2017-07-03 11:40
| 969,006
|
H
| 405,490
| 60,305
| 3
| null | 11
|
Female
| 5
| 3
| 2
| 0
| 0
|
416,361
|
2017-07-05 12:40
| 1,045,409
|
J
| 404,347
| 53,587
| 1
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 0
|
229,606
|
2017-07-07 10:32
| 1,068,695
|
G
| 118,601
| 28,529
| 4
| 82,527
| 10
|
Female
| 4
| 3
| 3
| 1
| 0
|
255,573
|
2017-07-02 23:04
| 941,162
|
I
| 396,664
| 51,181
| 1
| null | null | null | null | null | null | 1
| 0
|
348,350
|
2017-07-04 20:37
| 209,408
|
H
| 414,149
| 45,962
| 5
| null | 10
|
Female
| 4
| 3
| null | 0
| 0
|
155,767
|
2017-07-07 07:34
| 458,045
|
H
| 105,960
| 11,085
| 5
| 270,915
| 3
|
Male
| 3
| 3
| 3
| 0
| 0
|
235,148
|
2017-07-07 09:54
| 41,727
|
I
| 118,601
| 28,529
| 4
| 82,527
| 2
|
Male
| 2
| 3
| 2
| 0
| 0
|
378,855
|
2017-07-05 14:38
| 1,055,755
|
B
| 414,149
| 45,962
| 3
| 254,132
| 3
|
Male
| 3
| 3
| 3
| 1
| 0
|
263,108
|
2017-07-07 11:43
| 1,121,390
|
D
| 98,970
| 6,970
| 4
| null | 9
|
Female
| 3
| 3
| 3
| 0
| 0
|
196,818
|
2017-07-04 08:37
| 527,490
|
E
| 396,664
| 51,181
| 1
| null | 4
|
Male
| 4
| 3
| 4
| 1
| 1
|
194,042
|
2017-07-06 09:48
| 108,694
|
C
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 3
| 2
| 0
| 0
|
262,135
|
2017-07-02 16:35
| 413,326
|
I
| 396,664
| 51,181
| 1
| null | null | null | null | null | null | 0
| 0
|
486,737
|
2017-07-03 14:50
| 546,177
|
H
| 359,520
| 13,787
| 3
| null | 2
|
Male
| 2
| 3
| 1
| 0
| 1
|
366,774
|
2017-07-06 09:54
| 1,015,748
|
C
| 359,520
| 13,787
| 4
| null | 2
|
Male
| 2
| 2
| null | 1
| 0
|
523,358
|
2017-07-03 18:00
| 357,831
|
A
| 405,490
| 60,305
| 2
| null | 2
|
Male
| 2
| 3
| 3
| 1
| 0
|
188,888
|
2017-07-05 08:54
| 1,112,767
|
C
| 359,520
| 13,787
| 4
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 0
|
392,944
|
2017-07-02 07:42
| 397,082
|
D
| 82,320
| 1,734
| 1
| null | 2
|
Male
| 2
| 3
| 4
| 0
| 0
|
414,667
|
2017-07-07 10:17
| 388,633
|
J
| 404,347
| 53,587
| 1
| null | 7
|
Female
| 1
| 3
| null | 0
| 0
|
367,722
|
2017-07-05 11:49
| 876,823
|
C
| 359,520
| 13,787
| 4
| null | null | null | null | null | null | 0
| 0
|
35,195
|
2017-07-04 18:19
| 1,283
|
H
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| null | 0
| 0
|
232,338
|
2017-07-07 06:35
| 880,709
|
G
| 118,601
| 28,529
| 5
| 82,527
| 2
|
Male
| 2
| 3
| 3
| 1
| 0
|
234,006
|
2017-07-07 08:24
| 723,388
|
I
| 118,601
| 28,529
| 4
| 82,527
| null | null | null | null | null | 1
| 0
|
221,140
|
2017-07-06 15:17
| 589,939
|
A
| 118,601
| 28,529
| 4
| 82,527
| 4
|
Male
| 4
| 3
| 2
| 0
| 0
|
185,990
|
2017-07-04 15:05
| 299,938
|
C
| 359,520
| 13,787
| 4
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
539,339
|
2017-07-05 19:59
| 663,293
|
E
| 98,970
| 6,970
| 2
| null | 2
|
Male
| 2
| 3
| 1
| 1
| 0
|
511,904
|
2017-07-03 15:36
| 40,779
|
H
| 405,490
| 60,305
| 3
| null | null | null | null | null | null | 0
| 0
|
257,849
|
2017-07-03 16:23
| 974,431
|
I
| 396,664
| 51,181
| 1
| null | 2
|
Male
| 2
| 3
| 3
| 0
| 0
|
400,842
|
2017-07-05 16:36
| 613,173
|
H
| 414,149
| 45,962
| 4
| 254,132
| null | null | null | null | null | 0
| 0
|
254,004
|
2017-07-05 20:18
| 1,036,032
|
I
| 396,664
| 51,181
| 1
| null | 8
|
Female
| 2
| 3
| 4
| 1
| 0
|
411,407
|
2017-07-03 08:53
| 664,802
|
J
| 404,347
| 53,587
| 1
| null | 5
|
Male
| 5
| 3
| null | 1
| 0
|
391,034
|
2017-07-05 20:56
| 915,790
|
E
| 82,320
| 1,734
| 1
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
341,880
|
2017-07-03 06:38
| 699,552
|
H
| 359,520
| 13,787
| 2
| null | 3
|
Male
| 3
| 3
| 4
| 1
| 0
|
57,655
|
2017-07-05 15:12
| 289,026
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| 2
| 1
| 0
|
450,958
|
2017-07-04 21:05
| 1,006,270
|
C
| 360,936
| 13,787
| 3
| null | 3
|
Male
| 3
| 3
| 2
| 1
| 0
|
486,988
|
2017-07-05 08:25
| 66,557
|
H
| 359,520
| 13,787
| 3
| null | 2
|
Male
| 2
| 1
| null | 0
| 0
|
369,527
|
2017-07-07 11:50
| 923,136
|
D
| 359,520
| 13,787
| 4
| null | 4
|
Male
| 4
| 2
| null | 0
| 0
|
305,590
|
2017-07-06 11:08
| 280,875
|
C
| 360,936
| 13,787
| 5
| null | 3
|
Male
| 3
| 3
| 4
| 0
| 0
|
176,799
|
2017-07-02 16:26
| 684,943
|
C
| 359,520
| 13,787
| 4
| null | null | null | null | null | null | 1
| 0
|
494,681
|
2017-07-04 08:40
| 931,725
|
H
| 359,520
| 13,787
| 3
| null | null | null | null | null | null | 1
| 0
|
88,456
|
2017-07-04 20:01
| 1,029,528
|
C
| 405,490
| 60,305
| 3
| null | 2
|
Male
| 2
| 3
| 2
| 1
| 1
|
51,055
|
2017-07-07 18:07
| 1,097,383
|
C
| 405,490
| 60,305
| 3
| null | 4
|
Male
| 4
| 3
| 2
| 1
| 0
|
112,918
|
2017-07-03 06:37
| 1,029,484
|
C
| 359,520
| 13,787
| 5
| null | 3
|
Male
| 3
| 3
| null | 0
| 0
|
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