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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 |
End of preview.
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