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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 2 new columns ({'Unnamed: 0', 'ProdTaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/Kingston-Personal/tourism-project/tourism.csv (at revision c54800f69c52f406a3941b7354f16eac67768437)
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
Unnamed: 0: int64
CustomerID: int64
ProdTaken: int64
Age: double
TypeofContact: string
CityTier: int64
DurationOfPitch: double
Occupation: string
Gender: string
NumberOfPersonVisiting: int64
NumberOfFollowups: double
ProductPitched: string
PreferredPropertyStar: double
MaritalStatus: string
NumberOfTrips: double
Passport: int64
PitchSatisfactionScore: int64
OwnCar: int64
NumberOfChildrenVisiting: double
Designation: string
MonthlyIncome: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2881
to
{'CustomerID': Value('int64'), '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 2 new columns ({'Unnamed: 0', 'ProdTaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/Kingston-Personal/tourism-project/tourism.csv (at revision c54800f69c52f406a3941b7354f16eac67768437)
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.
CustomerID int64 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
202,273 | 34 | 0 | 1 | 9 | 2 | 1 | 2 | 4 | 0 | 3 | 1 | 4 | 0 | 1 | 0 | 0 | 1 | 17,979 |
200,073 | 32 | 1 | 1 | 6 | 2 | 1 | 3 | 3 | 1 | 4 | 0 | 2 | 0 | 3 | 0 | 0 | 2 | 21,220 |
200,167 | 30 | 1 | 3 | 11 | 2 | 0 | 2 | 3 | 3 | 3 | 0 | 3 | 0 | 4 | 1 | 1 | 3 | 24,419 |
204,725 | 39 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 3 | 4 | 2 | 2 | 0 | 4 | 1 | 2 | 3 | 26,029 |
204,219 | 37 | 0 | 1 | 31 | 2 | 0 | 3 | 4 | 1 | 4 | 1 | 2 | 0 | 3 | 1 | 2 | 2 | 24,352 |
202,620 | 34 | 1 | 1 | 9 | 2 | 1 | 3 | 4 | 0 | 3 | 2 | 2 | 0 | 3 | 0 | 2 | 1 | 21,178 |
203,015 | 27 | 0 | 1 | 7 | 2 | 0 | 4 | 6 | 0 | 3 | 1 | 5 | 0 | 4 | 1 | 3 | 1 | 23,042 |
201,106 | 30 | 1 | 3 | 6 | 2 | 1 | 3 | 4 | 1 | 5 | 1 | 2 | 0 | 4 | 1 | 1 | 2 | 24,714 |
204,541 | 53 | 0 | 1 | 32 | 3 | 0 | 3 | 5 | 4 | 3 | 1 | 5 | 0 | 5 | 0 | 2 | 0 | 32,504 |
203,334 | 55 | 0 | 1 | 7 | 2 | 0 | 3 | 4 | 3 | 3 | 1 | 2 | 0 | 5 | 1 | 2 | 3 | 29,180 |
200,093 | 46 | 0 | 1 | 6 | 3 | 1 | 2 | 4 | 3 | 5 | 0 | 3 | 1 | 2 | 1 | 1 | 3 | 25,673 |
204,519 | 39 | 0 | 1 | 19 | 2 | 1 | 2 | 5 | 1 | 5 | 1 | 4 | 0 | 5 | 1 | 1 | 2 | 24,966 |
200,112 | 54 | 0 | 2 | 32 | 2 | 0 | 1 | 2 | 4 | 3 | 2 | 3 | 1 | 3 | 1 | 0 | 0 | 32,328 |
201,287 | 42 | 1 | 1 | 19 | 3 | 1 | 3 | 1 | 1 | 5 | 1 | 6 | 0 | 4 | 1 | 0 | 2 | 20,538 |
203,583 | 33 | 1 | 1 | 12 | 2 | 0 | 3 | 2 | 0 | 3 | 1 | 5 | 0 | 5 | 1 | 2 | 1 | 21,990 |
201,551 | 35 | 1 | 1 | 6 | 3 | 1 | 1 | 4 | 0 | 3 | 2 | 2 | 0 | 4 | 1 | 0 | 1 | 17,859 |
201,284 | 39 | 1 | 1 | 16 | 3 | 1 | 3 | 3 | 3 | 3 | 2 | 1 | 0 | 3 | 1 | 0 | 3 | 28,464 |
203,232 | 29 | 1 | 1 | 17 | 2 | 0 | 3 | 4 | 1 | 3 | 2 | 5 | 0 | 4 | 1 | 2 | 2 | 22,338 |
202,887 | 23 | 0 | 1 | 11 | 0 | 1 | 3 | 5 | 0 | 3 | 2 | 7 | 0 | 5 | 1 | 1 | 1 | 22,572 |
200,294 | 37 | 0 | 1 | 15 | 3 | 1 | 2 | 3 | 0 | 3 | 0 | 2 | 1 | 2 | 0 | 0 | 1 | 17,326 |
204,606 | 33 | 1 | 1 | 10 | 3 | 0 | 4 | 4 | 1 | 5 | 1 | 3 | 0 | 1 | 1 | 1 | 2 | 25,403 |
204,015 | 33 | 1 | 1 | 7 | 2 | 1 | 4 | 4 | 0 | 5 | 2 | 3 | 0 | 1 | 0 | 2 | 1 | 21,634 |
204,115 | 50 | 0 | 1 | 25 | 2 | 1 | 4 | 4 | 1 | 3 | 1 | 3 | 1 | 1 | 0 | 1 | 2 | 25,482 |
202,067 | 42 | 1 | 1 | 6 | 2 | 0 | 2 | 4 | 1 | 3 | 1 | 1 | 1 | 3 | 0 | 0 | 2 | 21,062 |
204,801 | 43 | 0 | 1 | 33 | 3 | 0 | 3 | 4 | 3 | 5 | 1 | 5 | 1 | 3 | 0 | 1 | 3 | 31,869 |
201,383 | 36 | 0 | 1 | 15 | 2 | 1 | 3 | 1 | 0 | 4 | 1 | 2 | 0 | 5 | 1 | 0 | 1 | 17,810 |
201,350 | 27 | 1 | 3 | 8 | 3 | 0 | 2 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | 1 | 2 | 21,500 |
204,288 | 29 | 1 | 3 | 16 | 2 | 1 | 4 | 4 | 1 | 3 | 2 | 3 | 0 | 3 | 1 | 2 | 2 | 23,931 |
202,690 | 34 | 1 | 1 | 12 | 2 | 0 | 4 | 5 | 0 | 3 | 0 | 3 | 0 | 2 | 0 | 3 | 1 | 21,589 |
203,576 | 41 | 1 | 3 | 21 | 2 | 0 | 3 | 4 | 1 | 5 | 1 | 3 | 0 | 3 | 0 | 2 | 2 | 23,317 |
204,866 | 32 | 1 | 3 | 20 | 3 | 1 | 4 | 5 | 1 | 5 | 1 | 7 | 1 | 1 | 1 | 1 | 2 | 20,980 |
201,947 | 50 | 0 | 2 | 9 | 3 | 1 | 3 | 3 | 2 | 4 | 1 | 2 | 0 | 1 | 1 | 2 | 4 | 33,200 |
201,940 | 24 | 0 | 3 | 30 | 3 | 1 | 2 | 3 | 0 | 3 | 1 | 1 | 0 | 4 | 1 | 1 | 1 | 17,400 |
204,511 | 43 | 1 | 1 | 7 | 2 | 0 | 3 | 5 | 1 | 3 | 1 | 2 | 1 | 3 | 0 | 1 | 2 | 24,740 |
201,148 | 39 | 1 | 1 | 16 | 3 | 1 | 3 | 3 | 1 | 5 | 1 | 3 | 0 | 5 | 1 | 2 | 2 | 20,377 |
201,740 | 55 | 1 | 1 | 6 | 3 | 1 | 2 | 3 | 2 | 5 | 2 | 1 | 1 | 1 | 1 | 1 | 4 | 34,045 |
204,849 | 33 | 0 | 1 | 10 | 2 | 0 | 3 | 4 | 0 | 3 | 2 | 3 | 0 | 4 | 1 | 1 | 1 | 24,887 |
203,699 | 34 | 1 | 3 | 23 | 2 | 0 | 4 | 4 | 3 | 5 | 2 | 4 | 1 | 5 | 0 | 1 | 3 | 27,242 |
204,027 | 25 | 1 | 1 | 25 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 2 | 0 | 4 | 0 | 1 | 1 | 21,452 |
201,613 | 30 | 1 | 1 | 24 | 2 | 0 | 3 | 3 | 0 | 3 | 2 | 2 | 0 | 1 | 1 | 2 | 1 | 17,632 |
204,206 | 32 | 0 | 3 | 12 | 3 | 0 | 3 | 4 | 0 | 4 | 1 | 3 | 0 | 3 | 0 | 1 | 1 | 21,467 |
202,757 | 34 | 0 | 1 | 12 | 2 | 0 | 4 | 4 | 3 | 4 | 0 | 8 | 0 | 3 | 1 | 3 | 3 | 30,556 |
202,191 | 50 | 1 | 1 | 30 | 2 | 1 | 3 | 3 | 4 | 3 | 1 | 4 | 1 | 4 | 1 | 2 | 0 | 28,973 |
200,673 | 33 | 1 | 1 | 6 | 2 | 1 | 3 | 4 | 0 | 5 | 2 | 4 | 1 | 4 | 0 | 0 | 1 | 17,799 |
203,264 | 36 | 0 | 3 | 18 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 3 | 0 | 5 | 0 | 1 | 2 | 23,646 |
202,645 | 50 | 0 | 1 | 25 | 2 | 1 | 4 | 4 | 1 | 3 | 1 | 3 | 1 | 2 | 0 | 2 | 2 | 25,482 |
203,648 | 49 | 0 | 3 | 14 | 3 | 0 | 4 | 4 | 0 | 3 | 1 | 4 | 1 | 4 | 1 | 2 | 1 | 21,333 |
203,412 | 37 | 0 | 3 | 14 | 3 | 0 | 3 | 2 | 1 | 5 | 0 | 4 | 0 | 1 | 1 | 1 | 2 | 23,317 |
200,143 | 30 | 1 | 1 | 24 | 2 | 0 | 3 | 3 | 0 | 3 | 2 | 2 | 0 | 2 | 1 | 0 | 1 | 17,632 |
203,867 | 23 | 1 | 1 | 7 | 2 | 1 | 4 | 4 | 0 | 3 | 2 | 2 | 0 | 3 | 0 | 3 | 1 | 22,053 |
201,651 | 34 | 1 | 1 | 33 | 3 | 0 | 3 | 3 | 0 | 4 | 2 | 3 | 0 | 3 | 0 | 0 | 1 | 17,311 |
204,005 | 52 | 1 | 3 | 28 | 3 | 1 | 4 | 4 | 1 | 3 | 2 | 2 | 1 | 5 | 0 | 3 | 2 | 24,119 |
203,192 | 27 | 0 | 3 | 36 | 3 | 1 | 4 | 6 | 1 | 5 | 2 | 2 | 0 | 3 | 0 | 1 | 2 | 23,647 |
200,706 | 40 | 0 | 3 | 30 | 2 | 0 | 3 | 1 | 4 | 4 | 2 | 5 | 1 | 3 | 1 | 2 | 0 | 28,194 |
200,891 | 44 | 1 | 1 | 8 | 2 | 0 | 3 | 1 | 0 | 3 | 0 | 2 | 0 | 4 | 1 | 0 | 1 | 17,011 |
204,676 | 27 | 0 | 1 | 9 | 2 | 1 | 3 | 4 | 0 | 5 | 1 | 8 | 1 | 5 | 0 | 1 | 1 | 20,720 |
203,308 | 42 | 0 | 1 | 12 | 2 | 1 | 4 | 5 | 0 | 5 | 1 | 8 | 0 | 3 | 1 | 1 | 1 | 20,785 |
202,939 | 28 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 0 | 5 | 1 | 2 | 0 | 5 | 0 | 2 | 1 | 21,719 |
204,588 | 59 | 1 | 1 | 12 | 0 | 0 | 3 | 5 | 3 | 4 | 1 | 4 | 1 | 5 | 1 | 2 | 3 | 29,230 |
203,430 | 40 | 1 | 3 | 28 | 2 | 1 | 3 | 5 | 1 | 3 | 0 | 5 | 1 | 1 | 0 | 2 | 2 | 24,798 |
203,767 | 29 | 0 | 2 | 7 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 3 | 0 | 4 | 0 | 2 | 1 | 21,384 |
203,004 | 35 | 1 | 1 | 15 | 2 | 0 | 3 | 4 | 1 | 5 | 1 | 5 | 0 | 5 | 1 | 1 | 2 | 23,799 |
201,039 | 34 | 1 | 2 | 15 | 0 | 0 | 2 | 3 | 0 | 3 | 0 | 2 | 0 | 1 | 1 | 0 | 1 | 17,742 |
201,018 | 36 | 1 | 1 | 10 | 2 | 1 | 2 | 4 | 1 | 3 | 2 | 2 | 0 | 5 | 1 | 1 | 2 | 20,810 |
200,147 | 41 | 0 | 1 | 16 | 2 | 1 | 3 | 4 | 4 | 5 | 1 | 5 | 0 | 2 | 1 | 0 | 0 | 32,181 |
201,563 | 46 | 0 | 1 | 6 | 3 | 1 | 2 | 4 | 3 | 5 | 1 | 3 | 1 | 1 | 1 | 1 | 3 | 25,673 |
202,904 | 27 | 1 | 3 | 36 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 7 | 0 | 5 | 1 | 1 | 2 | 22,984 |
204,732 | 32 | 0 | 3 | 27 | 2 | 1 | 4 | 2 | 0 | 3 | 1 | 2 | 0 | 5 | 1 | 1 | 1 | 21,469 |
203,961 | 38 | 1 | 1 | 26 | 2 | 1 | 4 | 4 | 0 | 4 | 1 | 6 | 0 | 4 | 0 | 2 | 1 | 21,700 |
204,035 | 34 | 0 | 3 | 29 | 3 | 1 | 4 | 4 | 1 | 4 | 1 | 2 | 0 | 1 | 0 | 1 | 2 | 24,824 |
200,962 | 51 | 1 | 2 | 11 | 2 | 1 | 2 | 3 | 4 | 4 | 1 | 2 | 1 | 3 | 1 | 1 | 0 | 29,026 |
200,553 | 40 | 1 | 1 | 8 | 3 | 0 | 2 | 4 | 0 | 3 | 2 | 1 | 1 | 3 | 1 | 1 | 1 | 17,342 |
201,845 | 49 | 1 | 1 | 13 | 2 | 1 | 2 | 4 | 3 | 3 | 2 | 1 | 0 | 1 | 1 | 0 | 3 | 25,965 |
203,765 | 48 | 1 | 1 | 16 | 2 | 0 | 4 | 4 | 0 | 3 | 2 | 6 | 0 | 3 | 1 | 1 | 1 | 20,783 |
201,724 | 29 | 1 | 3 | 26 | 3 | 1 | 2 | 3 | 1 | 3 | 1 | 3 | 0 | 1 | 1 | 0 | 2 | 21,931 |
204,384 | 25 | 0 | 3 | 31 | 3 | 1 | 3 | 4 | 0 | 3 | 1 | 2 | 0 | 4 | 1 | 2 | 1 | 21,078 |
202,340 | 35 | 1 | 3 | 23 | 2 | 1 | 3 | 3 | 1 | 5 | 1 | 4 | 1 | 3 | 0 | 2 | 2 | 23,966 |
204,257 | 30 | 1 | 3 | 17 | 3 | 0 | 3 | 5 | 1 | 4 | 1 | 3 | 1 | 5 | 1 | 1 | 2 | 26,946 |
201,662 | 35 | 1 | 1 | 29 | 2 | 1 | 2 | 4 | 1 | 3 | 1 | 4 | 1 | 4 | 1 | 0 | 2 | 20,916 |
201,847 | 36 | 1 | 1 | 8 | 2 | 0 | 3 | 3 | 0 | 3 | 1 | 5 | 0 | 5 | 1 | 0 | 1 | 17,543 |
201,126 | 50 | 1 | 3 | 5 | 3 | 1 | 2 | 3 | 2 | 3 | 1 | 5 | 1 | 5 | 0 | 1 | 4 | 34,331 |
204,689 | 44 | 1 | 3 | 32 | 3 | 1 | 4 | 5 | 3 | 3 | 1 | 7 | 0 | 4 | 1 | 2 | 3 | 29,476 |
200,811 | 38 | 1 | 3 | 8 | 3 | 1 | 2 | 3 | 3 | 4 | 2 | 1 | 0 | 4 | 1 | 0 | 3 | 22,351 |
203,624 | 37 | 1 | 1 | 14 | 2 | 1 | 4 | 4 | 0 | 4 | 2 | 4 | 0 | 1 | 0 | 3 | 1 | 20,691 |
202,754 | 32 | 1 | 2 | 9 | 2 | 1 | 4 | 5 | 1 | 5 | 0 | 5 | 0 | 3 | 0 | 2 | 2 | 25,088 |
202,890 | 42 | 0 | 3 | 17 | 2 | 1 | 3 | 4 | 1 | 3 | 2 | 2 | 0 | 2 | 0 | 2 | 2 | 24,908 |
200,523 | 50 | 1 | 1 | 34 | 3 | 1 | 3 | 2 | 0 | 3 | 0 | 2 | 1 | 2 | 1 | 2 | 1 | 18,221 |
204,393 | 25 | 0 | 1 | 14 | 2 | 0 | 3 | 4 | 0 | 3 | 1 | 3 | 1 | 4 | 0 | 1 | 1 | 21,564 |
200,853 | 19 | 1 | 1 | 15 | 2 | 1 | 2 | 3 | 0 | 5 | 2 | 2 | 0 | 3 | 0 | 0 | 1 | 17,552 |
204,598 | 41 | 1 | 3 | 17 | 3 | 1 | 4 | 5 | 3 | 4 | 1 | 4 | 0 | 4 | 0 | 1 | 3 | 28,383 |
202,909 | 47 | 0 | 1 | 25 | 3 | 0 | 3 | 4 | 3 | 3 | 0 | 7 | 0 | 3 | 1 | 1 | 3 | 29,205 |
203,123 | 32 | 0 | 3 | 27 | 3 | 0 | 3 | 4 | 1 | 3 | 0 | 3 | 0 | 2 | 1 | 1 | 2 | 25,610 |
200,750 | 44 | 1 | 3 | 34 | 3 | 0 | 2 | 1 | 4 | 3 | 0 | 4 | 1 | 2 | 1 | 1 | 0 | 28,320 |
202,983 | 51 | 1 | 3 | 15 | 3 | 1 | 3 | 4 | 0 | 4 | 0 | 2 | 0 | 2 | 1 | 1 | 1 | 22,553 |
202,325 | 37 | 1 | 1 | 7 | 2 | 0 | 2 | 4 | 1 | 3 | 1 | 2 | 0 | 1 | 0 | 0 | 2 | 21,474 |
203,552 | 36 | 1 | 1 | 7 | 3 | 1 | 4 | 5 | 0 | 5 | 2 | 3 | 0 | 1 | 0 | 3 | 1 | 21,128 |
202,780 | 30 | 1 | 1 | 15 | 2 | 1 | 4 | 6 | 0 | 5 | 0 | 3 | 1 | 3 | 1 | 2 | 1 | 20,797 |
204,586 | 43 | 1 | 3 | 21 | 3 | 0 | 4 | 5 | 1 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 2 | 24,922 |
204,234 | 28 | 1 | 3 | 9 | 2 | 1 | 4 | 4 | 1 | 3 | 2 | 3 | 1 | 4 | 0 | 2 | 2 | 23,156 |
204,176 | 33 | 1 | 1 | 9 | 0 | 1 | 3 | 5 | 1 | 5 | 2 | 6 | 0 | 4 | 0 | 2 | 2 | 20,854 |
End of preview.