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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 5 new columns ({'clk', 'time_stamp', 'nonclk', 'user', 'pid'}) and 5 missing columns ({'cate_id', 'brand', 'customer', 'campaign_id', 'price'}).

This happened while the csv dataset builder was generating data using

hf://datasets/vessl/ad-display_click-data_taobao.com/raw_sample.csv (at revision 5cc2d69eddfae69637fb7d953be2b61d14a40efa)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              user: int64
              time_stamp: int64
              adgroup_id: int64
              pid: string
              nonclk: int64
              clk: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 920
              to
              {'adgroup_id': Value(dtype='int64', id=None), 'cate_id': Value(dtype='int64', id=None), 'campaign_id': Value(dtype='int64', id=None), 'customer': Value(dtype='int64', id=None), 'brand': Value(dtype='float64', id=None), 'price': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 5 new columns ({'clk', 'time_stamp', 'nonclk', 'user', 'pid'}) and 5 missing columns ({'cate_id', 'brand', 'customer', 'campaign_id', 'price'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/vessl/ad-display_click-data_taobao.com/raw_sample.csv (at revision 5cc2d69eddfae69637fb7d953be2b61d14a40efa)
              
              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.

adgroup_id
int64
cate_id
int64
campaign_id
int64
customer
int64
brand
float64
price
float64
63,133
6,406
83,237
1
95,471
170
313,401
6,406
83,237
1
87,331
199
248,909
392
83,237
1
32,233
38
208,458
392
83,237
1
174,374
139
110,847
7,211
135,256
2
145,952
32.99
607,788
6,261
387,991
6
207,800
199
375,706
4,520
387,991
6
null
99
11,115
7,213
139,747
9
186,847
33
24,484
7,207
139,744
9
186,847
19
28,589
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395,195
13
null
428
23,236
5,953
395,195
13
null
368
300,556
5,953
395,195
13
null
639
92,560
5,953
395,195
13
null
368
590,965
4,284
28,145
14
454,237
249
529,913
4,284
70,206
14
null
249
546,930
4,284
28,145
14
null
249
639,794
6,261
70,206
14
37,004
89.9
335,413
4,284
28,145
14
null
249
794,890
4,284
70,206
14
454,237
249
684,020
6,261
70,206
14
37,004
99
500,333
5,515
70,206
14
null
69.9
479,319
4,284
70,206
14
null
249
372,438
4,284
70,206
14
null
249
382,843
4,284
70,206
14
null
249
379,665
4,284
70,206
14
null
239
715,831
4,280
70,206
14
null
59
296,360
5,515
70,206
14
null
39.9
419,844
5,515
28,145
14
247,861
75
279,841
917
8,184
15
57,034
1.88
74,914
8,863
177,913
19
83,039
10
73,381
6,159
177,913
19
376,948
12.5
203,644
6,026
177,913
19
null
9
150,738
7,395
177,913
19
432,071
21
35,032
6,261
83,264
20
457,502
668
592,998
8,993
83,266
21
72,959
48
631,409
6,181
83,266
21
72,959
368
62,924
10,956
83,271
24
417,253
11.5
8,451
1,652
83,271
24
278,112
15
141,441
8,197
83,271
24
null
8.8
688,282
8,179
422,189
32
null
45
401,736
5,285
289,503
34
164,272
76
401,735
10,479
289,503
34
164,272
698
401,759
10,479
289,503
34
null
220
384,495
5,285
289,503
34
164,272
94
370,209
10,479
289,503
34
164,272
450
384,521
10,479
289,503
34
null
430
380,685
10,479
289,503
34
383,766
360
57,396
6,564
137,334
39
125,151
39
469,820
4,613
83,298
42
375,268
10
232,298
4,613
83,298
42
400,172
20
7,459
4,613
83,298
42
400,172
360
196,498
4,613
83,298
42
400,172
266
217,341
4,613
83,298
42
400,172
198
297,127
6,955
318,659
46
108,957
1,185
401,889
4,284
318,659
46
255,785
369
405,701
8,111
318,659
46
108,957
50
422,973
4,284
318,659
46
255,785
399
422,974
4,284
318,659
46
255,785
429
405,615
6,261
318,659
46
108,957
499
401,811
6,261
318,659
46
108,957
599
405,616
6,261
318,659
46
301,254
699
389,425
4,281
318,659
46
255,785
50
576,558
4,284
83,308
47
74,078
110
51,535
4,284
83,308
47
74,078
98
376,383
4,284
83,308
47
74,078
98
464,521
4,282
83,308
47
null
130
3,681
5,199
408,101
51
97,566
65
712,009
7,962
315,907
53
null
5,999
58,881
7,209
155,966
54
349,743
1,600
308,744
7,209
155,966
54
null
878
141,629
7,209
155,966
54
310,550
600
686,089
6,937
404,062
59
115,491
799
414,843
6,937
309,598
59
63,272
499
785,062
6,937
83,339
59
115,491
799
597,103
6,937
319,166
59
125,038
699
832,820
4,292
162,111
60
295,193
276
783,981
4,292
162,111
60
295,193
276
832,945
4,292
162,111
60
295,193
158
754,747
4,292
162,111
60
295,193
296
514,810
4,502
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62
null
20,000
218,523
4,502
257,310
62
null
40,000
216,123
6,640
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62
null
51,800
165,521
4,502
83,347
62
null
40,000
155,501
6,640
257,310
62
null
51,800
231,961
12
83,349
63
114,512
349
208,158
12
83,349
63
114,512
359
273,414
12
83,349
63
58,175
190
599,798
8,113
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68
null
45
263,507
8,929
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69
406,808
58
2,892
6,800
205,399
69
434,904
17.4
40,010
7,822
77,444
69
406,808
68
157,414
5,363
17,759
71
370,950
70
8,290
10,885
13,914
72
null
138
8,297
5,874
13,914
72
193,697
90
110,394
4,833
13,914
72
409,312
90
8,105
6,814
13,914
72
null
532
8,331
10,885
13,914
72
205,431
138
63,603
6,814
83,371
72
null
532
338,430
6,142
140,936
74
null
130
393,006
4,505
328,771
74
null
130
End of preview.