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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 ({'ProdTaken'}) and 18 missing columns ({'NumberOfPersonVisiting', 'Gender', 'PreferredPropertyStar', 'MonthlyIncome', 'TypeofContact', 'Occupation', 'MaritalStatus', 'Passport', 'NumberOfChildrenVisiting', 'OwnCar', 'NumberOfTrips', 'PitchSatisfactionScore', 'Designation', 'CityTier', 'ProductPitched', 'DurationOfPitch', 'Age', 'NumberOfFollowups'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spac1ngcat/tour-well-pack-ds/processed/ytest.csv (at revision 720e7ad8433284ea7a2130c16f7d0d3f848fbf44)
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
ProdTaken: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
to
{'Age': Value('float64'), 'TypeofContact': Value('int64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('int64'), 'Gender': Value('int64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('int64'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('int64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('int64'), 'MonthlyIncome': Value('float64')}
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 1 new columns ({'ProdTaken'}) and 18 missing columns ({'NumberOfPersonVisiting', 'Gender', 'PreferredPropertyStar', 'MonthlyIncome', 'TypeofContact', 'Occupation', 'MaritalStatus', 'Passport', 'NumberOfChildrenVisiting', 'OwnCar', 'NumberOfTrips', 'PitchSatisfactionScore', 'Designation', 'CityTier', 'ProductPitched', 'DurationOfPitch', 'Age', 'NumberOfFollowups'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spac1ngcat/tour-well-pack-ds/processed/ytest.csv (at revision 720e7ad8433284ea7a2130c16f7d0d3f848fbf44)
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.
Age float64 | TypeofContact int64 | CityTier int64 | DurationOfPitch float64 | Occupation int64 | Gender int64 | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched int64 | PreferredPropertyStar float64 | MaritalStatus int64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | Designation int64 | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
53 | 0 | 1 | 32 | 3 | 0 | 3 | 5 | 4 | 3 | 1 | 5 | 0 | 5 | 0 | 2 | 0 | 32,504 |
58 | 1 | 1 | 7 | 3 | 1 | 3 | 4 | 1 | 3 | 0 | 4 | 0 | 3 | 1 | 2 | 2 | 25,433 |
33 | 1 | 1 | 8 | 2 | 1 | 2 | 3 | 0 | 3 | 2 | 1 | 0 | 3 | 0 | 1 | 1 | 17,500 |
32 | 1 | 3 | 12 | 1 | 1 | 3 | 4 | 1 | 3 | 1 | 3 | 0 | 5 | 0 | 2 | 2 | 27,024 |
34 | 1 | 1 | 28 | 3 | 1 | 4 | 2 | 0 | 4 | 1 | 3 | 0 | 1 | 1 | 2 | 1 | 20,706 |
40 | 1 | 1 | 8 | 3 | 0 | 2 | 4 | 0 | 3 | 2 | 1 | 1 | 3 | 1 | 1 | 1 | 17,342 |
43 | 0 | 3 | 8 | 2 | 1 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 2 | 20,675 |
45 | 1 | 3 | 8 | 1 | 1 | 2 | 5 | 1 | 3 | 3 | 1 | 0 | 5 | 0 | 0 | 2 | 21,632 |
35 | 0 | 1 | 10 | 2 | 1 | 3 | 4 | 1 | 3 | 3 | 2 | 0 | 2 | 1 | 1 | 2 | 26,434 |
38 | 0 | 3 | 26 | 3 | 1 | 3 | 4 | 3 | 4 | 3 | 3 | 1 | 5 | 0 | 1 | 3 | 26,320 |
37 | 1 | 1 | 23 | 2 | 0 | 3 | 2 | 0 | 5 | 3 | 3 | 0 | 2 | 1 | 1 | 1 | 21,421 |
30 | 1 | 3 | 7 | 3 | 0 | 3 | 5 | 0 | 3 | 1 | 8 | 1 | 1 | 1 | 2 | 1 | 21,478 |
39 | 1 | 1 | 16 | 3 | 1 | 3 | 3 | 1 | 5 | 1 | 3 | 0 | 5 | 1 | 2 | 2 | 20,377 |
45 | 1 | 1 | 6 | 3 | 0 | 3 | 3 | 0 | 3 | 1 | 4 | 0 | 5 | 1 | 0 | 1 | 17,270 |
40 | 1 | 3 | 15 | 3 | 1 | 2 | 3 | 1 | 5 | 1 | 1 | 0 | 3 | 1 | 1 | 2 | 20,473 |
32 | 1 | 3 | 13 | 3 | 1 | 3 | 3 | 1 | 3 | 0 | 5 | 0 | 5 | 1 | 1 | 2 | 24,204 |
34 | 1 | 3 | 15 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 2 | 0 | 1 | 0 | 1 | 2 | 25,782 |
34 | 1 | 1 | 16 | 3 | 1 | 3 | 4 | 0 | 3 | 0 | 2 | 0 | 2 | 1 | 1 | 1 | 21,459 |
40 | 1 | 1 | 12 | 2 | 0 | 3 | 3 | 4 | 3 | 3 | 1 | 0 | 5 | 1 | 0 | 0 | 28,237 |
38 | 0 | 1 | 18 | 2 | 1 | 1 | 4 | 1 | 5 | 1 | 3 | 0 | 5 | 1 | 0 | 2 | 21,288 |
59 | 1 | 1 | 9 | 1 | 1 | 3 | 4 | 0 | 3 | 2 | 6 | 0 | 2 | 1 | 2 | 1 | 21,157 |
55 | 0 | 1 | 7 | 2 | 0 | 3 | 4 | 3 | 3 | 1 | 2 | 0 | 5 | 1 | 2 | 3 | 29,180 |
38 | 1 | 1 | 28 | 2 | 1 | 4 | 3 | 0 | 5 | 0 | 3 | 1 | 3 | 0 | 3 | 1 | 22,242 |
37 | 1 | 1 | 10 | 2 | 1 | 2 | 3 | 0 | 3 | 0 | 1 | 1 | 5 | 1 | 1 | 1 | 17,996 |
56 | 1 | 1 | 13 | 2 | 1 | 2 | 5 | 3 | 3 | 3 | 5 | 0 | 1 | 0 | 0 | 3 | 22,260 |
21 | 1 | 1 | 6 | 1 | 0 | 3 | 4 | 0 | 4 | 2 | 2 | 1 | 5 | 0 | 2 | 1 | 17,070 |
48 | 1 | 1 | 26 | 3 | 1 | 2 | 3 | 0 | 3 | 1 | 5 | 0 | 1 | 1 | 0 | 1 | 17,259 |
38 | 0 | 1 | 18 | 2 | 1 | 2 | 4 | 1 | 5 | 1 | 3 | 0 | 5 | 1 | 0 | 2 | 21,288 |
34 | 1 | 1 | 15 | 3 | 0 | 2 | 4 | 3 | 4 | 3 | 2 | 0 | 2 | 1 | 1 | 3 | 23,621 |
41 | 1 | 3 | 8 | 2 | 1 | 2 | 3 | 4 | 4 | 2 | 2 | 0 | 3 | 1 | 0 | 0 | 31,015 |
40 | 0 | 3 | 11 | 2 | 1 | 2 | 4 | 3 | 5 | 1 | 6 | 1 | 5 | 0 | 0 | 3 | 25,475 |
46 | 1 | 3 | 9 | 2 | 1 | 4 | 4 | 1 | 4 | 0 | 2 | 0 | 5 | 1 | 1 | 2 | 23,483 |
44 | 1 | 1 | 8 | 2 | 0 | 3 | 1 | 0 | 3 | 1 | 2 | 0 | 4 | 1 | 2 | 1 | 17,011 |
32 | 1 | 1 | 19 | 3 | 0 | 4 | 4 | 0 | 3 | 1 | 2 | 1 | 4 | 1 | 2 | 1 | 22,607 |
22 | 1 | 1 | 25 | 2 | 0 | 4 | 4 | 0 | 3 | 3 | 3 | 0 | 3 | 1 | 3 | 1 | 21,371 |
38 | 1 | 1 | 29 | 2 | 1 | 2 | 3 | 1 | 3 | 1 | 1 | 0 | 3 | 0 | 1 | 2 | 20,745 |
29 | 1 | 3 | 12 | 3 | 1 | 3 | 4 | 1 | 5 | 3 | 2 | 0 | 1 | 1 | 1 | 2 | 27,141 |
30 | 0 | 1 | 29 | 2 | 1 | 3 | 5 | 0 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 1 | 17,613 |
24 | 1 | 1 | 33 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 3 | 0 | 2 | 1 | 2 | 1 | 21,582 |
36 | 1 | 1 | 9 | 2 | 1 | 3 | 1 | 1 | 5 | 1 | 7 | 0 | 1 | 1 | 2 | 2 | 21,842 |
29 | 0 | 3 | 7 | 2 | 1 | 3 | 5 | 1 | 3 | 1 | 3 | 1 | 1 | 0 | 1 | 2 | 25,512 |
31 | 1 | 3 | 36 | 2 | 1 | 4 | 4 | 1 | 5 | 1 | 2 | 0 | 1 | 1 | 1 | 2 | 22,793 |
32 | 1 | 3 | 14 | 2 | 1 | 3 | 5 | 0 | 3 | 1 | 5 | 0 | 4 | 1 | 2 | 1 | 21,007 |
35 | 1 | 1 | 22 | 2 | 1 | 3 | 3 | 3 | 3 | 1 | 5 | 1 | 1 | 0 | 0 | 3 | 22,632 |
29 | 0 | 1 | 9 | 2 | 1 | 3 | 5 | 0 | 3 | 0 | 3 | 1 | 4 | 1 | 1 | 1 | 22,545 |
43 | 1 | 1 | 16 | 2 | 1 | 4 | 5 | 2 | 3 | 2 | 2 | 0 | 1 | 1 | 2 | 4 | 38,291 |
28 | 1 | 1 | 11 | 2 | 0 | 4 | 4 | 0 | 3 | 2 | 3 | 0 | 2 | 1 | 2 | 1 | 20,996 |
38 | 0 | 1 | 16 | 3 | 1 | 3 | 3 | 0 | 3 | 0 | 1 | 0 | 5 | 0 | 2 | 1 | 17,684 |
39 | 0 | 1 | 15 | 2 | 1 | 2 | 3 | 2 | 3 | 2 | 3 | 0 | 4 | 0 | 1 | 4 | 34,431 |
44 | 1 | 1 | 13 | 3 | 0 | 2 | 4 | 3 | 3 | 1 | 4 | 0 | 4 | 0 | 0 | 3 | 25,248 |
50 | 0 | 1 | 8 | 2 | 1 | 3 | 3 | 4 | 5 | 1 | 2 | 0 | 5 | 1 | 1 | 0 | 32,924 |
31 | 0 | 3 | 19 | 2 | 1 | 4 | 5 | 0 | 5 | 0 | 3 | 0 | 5 | 1 | 1 | 1 | 20,711 |
39 | 1 | 3 | 7 | 2 | 1 | 3 | 4 | 1 | 4 | 1 | 2 | 0 | 4 | 1 | 2 | 2 | 23,118 |
28 | 1 | 1 | 27 | 3 | 1 | 2 | 3 | 0 | 3 | 0 | 2 | 0 | 2 | 0 | 0 | 1 | 17,713 |
33 | 0 | 1 | 6 | 2 | 0 | 3 | 3 | 3 | 3 | 3 | 2 | 1 | 1 | 1 | 0 | 3 | 28,458 |
46 | 1 | 3 | 16 | 3 | 0 | 3 | 4 | 3 | 3 | 1 | 3 | 1 | 1 | 0 | 0 | 3 | 24,071 |
36 | 1 | 1 | 13 | 2 | 1 | 3 | 6 | 1 | 3 | 3 | 3 | 0 | 5 | 1 | 1 | 2 | 25,324 |
26 | 1 | 1 | 11 | 1 | 1 | 3 | 4 | 0 | 3 | 0 | 3 | 1 | 3 | 1 | 1 | 1 | 22,369 |
30 | 1 | 1 | 15 | 2 | 1 | 4 | 6 | 0 | 5 | 0 | 3 | 1 | 3 | 1 | 2 | 1 | 20,797 |
32 | 1 | 2 | 9 | 2 | 1 | 4 | 5 | 1 | 5 | 0 | 5 | 0 | 3 | 0 | 2 | 2 | 25,088 |
22 | 1 | 1 | 17 | 2 | 0 | 3 | 5 | 0 | 5 | 2 | 3 | 0 | 3 | 1 | 1 | 1 | 20,094 |
36 | 0 | 1 | 11 | 2 | 1 | 3 | 5 | 0 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 1 | 21,054 |
51 | 1 | 1 | 17 | 1 | 0 | 2 | 4 | 4 | 4 | 3 | 4 | 0 | 1 | 0 | 1 | 0 | 28,142 |
41 | 0 | 1 | 16 | 2 | 1 | 3 | 4 | 4 | 5 | 1 | 5 | 0 | 2 | 1 | 0 | 0 | 32,181 |
31 | 1 | 1 | 10 | 1 | 0 | 3 | 4 | 0 | 5 | 3 | 7 | 1 | 4 | 1 | 2 | 1 | 21,335 |
34 | 1 | 3 | 6 | 3 | 1 | 2 | 3 | 3 | 3 | 3 | 2 | 0 | 5 | 1 | 0 | 3 | 24,888 |
51 | 1 | 1 | 17 | 1 | 1 | 4 | 5 | 3 | 3 | 2 | 8 | 0 | 5 | 1 | 2 | 3 | 29,174 |
60 | 1 | 1 | 10 | 2 | 1 | 4 | 5 | 0 | 3 | 0 | 5 | 0 | 3 | 0 | 2 | 1 | 20,855 |
41 | 1 | 3 | 14 | 3 | 1 | 3 | 4 | 0 | 4 | 3 | 3 | 0 | 5 | 0 | 1 | 1 | 23,339 |
36 | 1 | 1 | 14 | 1 | 0 | 2 | 3 | 3 | 3 | 1 | 2 | 0 | 4 | 1 | 1 | 3 | 25,096 |
55 | 1 | 1 | 6 | 3 | 1 | 2 | 1 | 4 | 3 | 1 | 3 | 0 | 5 | 1 | 0 | 0 | 29,732 |
41 | 1 | 3 | 7 | 3 | 1 | 3 | 6 | 1 | 3 | 1 | 4 | 1 | 3 | 1 | 1 | 2 | 26,135 |
30 | 1 | 3 | 11 | 2 | 0 | 2 | 3 | 3 | 3 | 0 | 3 | 0 | 4 | 1 | 1 | 3 | 24,419 |
40 | 0 | 1 | 14 | 3 | 1 | 2 | 4 | 3 | 4 | 1 | 3 | 0 | 1 | 1 | 1 | 3 | 28,757 |
30 | 1 | 1 | 7 | 1 | 1 | 3 | 4 | 0 | 3 | 2 | 2 | 0 | 2 | 0 | 1 | 1 | 20,736 |
44 | 1 | 1 | 14 | 2 | 1 | 3 | 1 | 0 | 3 | 1 | 3 | 1 | 3 | 1 | 0 | 1 | 17,818 |
34 | 0 | 1 | 32 | 1 | 0 | 3 | 4 | 0 | 3 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 17,029 |
42 | 1 | 2 | 16 | 2 | 0 | 2 | 3 | 4 | 5 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 31,799 |
42 | 0 | 3 | 17 | 3 | 1 | 3 | 6 | 1 | 4 | 3 | 3 | 0 | 1 | 1 | 1 | 2 | 24,829 |
42 | 1 | 1 | 19 | 3 | 1 | 3 | 1 | 1 | 5 | 1 | 6 | 0 | 4 | 1 | 0 | 2 | 20,538 |
54 | 1 | 2 | 25 | 3 | 1 | 2 | 3 | 3 | 4 | 1 | 3 | 0 | 3 | 1 | 1 | 3 | 25,725 |
40 | 1 | 1 | 8 | 3 | 0 | 2 | 4 | 0 | 3 | 2 | 1 | 1 | 3 | 0 | 0 | 1 | 17,342 |
56 | 1 | 3 | 33 | 3 | 1 | 3 | 5 | 2 | 3 | 1 | 3 | 0 | 3 | 1 | 2 | 4 | 38,264 |
28 | 1 | 1 | 16 | 3 | 0 | 5 | 4 | 0 | 4 | 2 | 3 | 0 | 3 | 0 | 2 | 1 | 20,957 |
45 | 1 | 1 | 10 | 2 | 1 | 3 | 4 | 0 | 5 | 0 | 6 | 0 | 5 | 1 | 2 | 1 | 21,040 |
36 | 1 | 1 | 18 | 3 | 0 | 2 | 4 | 3 | 3 | 3 | 1 | 0 | 1 | 1 | 0 | 3 | 23,858 |
37 | 1 | 3 | 9 | 2 | 1 | 2 | 3 | 3 | 3 | 3 | 3 | 0 | 3 | 0 | 0 | 3 | 22,428 |
33 | 1 | 3 | 22 | 2 | 0 | 3 | 3 | 3 | 5 | 3 | 3 | 1 | 5 | 0 | 0 | 3 | 23,564 |
39 | 0 | 3 | 17 | 1 | 0 | 3 | 4 | 1 | 3 | 3 | 3 | 1 | 3 | 0 | 2 | 2 | 24,344 |
34 | 1 | 2 | 10 | 2 | 1 | 3 | 4 | 0 | 4 | 1 | 5 | 1 | 5 | 0 | 2 | 1 | 20,955 |
45 | 0 | 1 | 6 | 2 | 1 | 3 | 4 | 3 | 3 | 1 | 4 | 0 | 1 | 1 | 2 | 3 | 25,748 |
29 | 1 | 3 | 33 | 2 | 1 | 3 | 5 | 1 | 5 | 0 | 3 | 0 | 4 | 1 | 1 | 2 | 23,402 |
55 | 1 | 3 | 8 | 3 | 1 | 2 | 3 | 1 | 3 | 2 | 5 | 0 | 1 | 1 | 0 | 2 | 20,160 |
28 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 0 | 5 | 1 | 2 | 0 | 5 | 0 | 2 | 1 | 21,719 |
40 | 1 | 3 | 28 | 2 | 1 | 3 | 5 | 1 | 3 | 0 | 5 | 1 | 1 | 0 | 2 | 2 | 24,798 |
25 | 1 | 1 | 24 | 2 | 0 | 4 | 4 | 0 | 4 | 1 | 3 | 0 | 1 | 1 | 3 | 1 | 20,888 |
30 | 1 | 3 | 13 | 3 | 1 | 2 | 3 | 0 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 17,983 |
41 | 0 | 1 | 23 | 3 | 1 | 3 | 5 | 1 | 3 | 3 | 8 | 0 | 5 | 0 | 1 | 2 | 23,772 |
28 | 1 | 1 | 15 | 3 | 1 | 3 | 3 | 0 | 3 | 0 | 2 | 0 | 2 | 1 | 1 | 1 | 17,070 |
29 | 0 | 3 | 6 | 3 | 0 | 2 | 3 | 3 | 3 | 0 | 2 | 0 | 3 | 1 | 0 | 3 | 22,918 |
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