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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'})
This happened while the csv dataset builder was generating data using
hf://datasets/sathishaiuse/Tourism-Package/processed/cleaned_tourism.csv (at revision 145ca342f9f8009c6a5eee59279bc4805d9f39db)
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
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, "' + 2647
to
{'Age': Value('float64'), 'TypeofContact': Value('string'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('string'), 'Gender': Value('string'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('string'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('string'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('string'), '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'})
This happened while the csv dataset builder was generating data using
hf://datasets/sathishaiuse/Tourism-Package/processed/cleaned_tourism.csv (at revision 145ca342f9f8009c6a5eee59279bc4805d9f39db)
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 string | CityTier int64 | DurationOfPitch float64 | Occupation string | Gender string | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched string | PreferredPropertyStar float64 | MaritalStatus string | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | Designation string | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50 | Company Invited | 3 | 14 | Large Business | Male | 2 | 3 | Deluxe | 3 | Divorced | 4 | 1 | 5 | 1 | 0 | Manager | 21,796 |
35 | Self Enquiry | 1 | 15 | Small Business | Male | 3 | 2 | Deluxe | 3 | Married | 4 | 0 | 3 | 0 | 2 | Manager | 23,082 |
41 | Company Invited | 1 | 11 | Salaried | Male | 3 | 4 | Basic | 5 | Married | 7 | 0 | 3 | 0 | 1 | Executive | 17,107 |
27 | Self Enquiry | 3 | 14 | Small Business | Female | 2 | 3 | Deluxe | 4 | Divorced | 2 | 0 | 2 | 0 | 0 | Manager | 21,214 |
33 | Company Invited | 1 | 9 | Salaried | Female | 2 | 3 | Basic | 3 | Divorced | 2 | 1 | 5 | 1 | 1 | Executive | 17,909 |
35 | Self Enquiry | 1 | 9 | Small Business | Female | 3 | 5 | Basic | 5 | Unmarried | 3 | 0 | 1 | 1 | 1 | Executive | 23,059 |
35 | Self Enquiry | 1 | 15 | Salaried | Female | 3 | 4 | Deluxe | 5 | Married | 5 | 0 | 5 | 1 | 1 | Manager | 23,799 |
46 | Self Enquiry | 1 | 9 | Salaried | Female | 4 | 5 | Basic | 3 | Single | 3 | 0 | 3 | 1 | 1 | Executive | 20,952 |
56 | Self Enquiry | 3 | 9 | Small Business | Male | 3 | 4 | Deluxe | 3 | Unmarried | 6 | 0 | 1 | 1 | 1 | Manager | 23,838 |
31 | Self Enquiry | 2 | 8 | Salaried | Male | 3 | 4 | Deluxe | 5 | Married | 4 | 0 | 3 | 0 | 2 | Manager | 21,410 |
46 | Self Enquiry | 1 | 9 | Salaried | Female | 3 | 5 | Deluxe | 3 | Married | 3 | 0 | 4 | 1 | 2 | Manager | 24,448 |
40 | Self Enquiry | 3 | 12 | Large Business | Male | 3 | 4 | Deluxe | 3 | Divorced | 5 | 0 | 2 | 0 | 2 | Manager | 20,764 |
20 | Self Enquiry | 3 | 8 | Small Business | Female | 2 | 4 | Basic | 3 | Single | 2 | 0 | 4 | 1 | 0 | Executive | 17,044 |
43 | Self Enquiry | 1 | 8 | Small Business | Female | 3 | 1 | Basic | 3 | Married | 2 | 0 | 1 | 1 | 2 | Executive | 17,645 |
33 | Company Invited | 1 | 36 | Small Business | Female | 4 | 4 | Basic | 3 | Unmarried | 2 | 0 | 3 | 1 | 1 | Executive | 22,703 |
31 | Self Enquiry | 3 | 9 | Large Business | Male | 4 | 4 | Basic | 4 | Married | 3 | 0 | 3 | 1 | 1 | Executive | 21,154 |
37 | Self Enquiry | 1 | 25 | Salaried | Male | 2 | 3 | Deluxe | 3 | Married | 4 | 0 | 1 | 0 | 0 | Manager | 20,768 |
59 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 4 | Super Deluxe | 3 | Single | 4 | 1 | 5 | 1 | 0 | AVP | 28,726 |
41 | Self Enquiry | 2 | 6 | Salaried | Male | 2 | 4 | King | 3 | Married | 2 | 0 | 1 | 1 | 1 | VP | 34,189 |
42 | Self Enquiry | 3 | 15 | Small Business | Female | 3 | 4 | Deluxe | 4 | Married | 7 | 0 | 3 | 1 | 2 | Manager | 23,071 |
26 | Self Enquiry | 1 | 10 | Small Business | Male | 4 | 4 | Basic | 5 | Divorced | 7 | 0 | 5 | 1 | 2 | Executive | 22,709 |
46 | Self Enquiry | 1 | 6 | Small Business | Male | 2 | 3 | King | 3 | Married | 1 | 0 | 5 | 1 | 0 | VP | 34,627 |
37 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 3 | Basic | 3 | Single | 2 | 0 | 2 | 1 | 1 | Executive | 17,115 |
37 | Self Enquiry | 3 | 18 | Small Business | Female | 4 | 5 | Deluxe | 3 | Married | 6 | 0 | 1 | 1 | 2 | Manager | 25,330 |
36 | Self Enquiry | 1 | 17 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 3 | 0 | 5 | 1 | 1 | Executive | 22,595 |
35 | Self Enquiry | 1 | 31 | Small Business | Female | 2 | 3 | Standard | 3 | Married | 2 | 1 | 3 | 0 | 1 | Senior Manager | 25,388 |
30 | Self Enquiry | 1 | 22 | Salaried | Female | 4 | 6 | Basic | 3 | Divorced | 2 | 1 | 5 | 1 | 1 | Executive | 20,846 |
45 | Company Invited | 1 | 7 | Small Business | Male | 3 | 4 | Basic | 4 | Married | 3 | 1 | 3 | 1 | 2 | Executive | 21,020 |
37 | Self Enquiry | 1 | 13 | Small Business | Male | 3 | 4 | Deluxe | 4 | Married | 8 | 0 | 4 | 0 | 2 | Manager | 23,619 |
35 | Self Enquiry | 3 | 17 | Salaried | Female | 3 | 4 | Basic | 3 | Married | 3 | 1 | 1 | 0 | 2 | Executive | 20,898 |
39 | Self Enquiry | 2 | 9 | Salaried | Female | 2 | 1 | Deluxe | 4 | Married | 1 | 0 | 1 | 0 | 0 | Manager | 21,389 |
38 | Self Enquiry | 1 | 6 | Large Business | Female | 3 | 3 | Standard | 5 | Married | 2 | 0 | 4 | 1 | 1 | Senior Manager | 28,582 |
40 | Self Enquiry | 1 | 16 | Salaried | Female | 2 | 2 | Basic | 3 | Divorced | 4 | 1 | 3 | 0 | 1 | Executive | 17,213 |
40 | Self Enquiry | 1 | 16 | Small Business | Male | 3 | 4 | Deluxe | 5 | Married | 3 | 0 | 4 | 1 | 1 | Manager | 23,829 |
44 | Self Enquiry | 3 | 7 | Salaried | Male | 2 | 5 | Deluxe | 4 | Single | 7 | 0 | 3 | 0 | 1 | Manager | 17,362 |
30 | Self Enquiry | 1 | 7 | Salaried | Female | 3 | 5 | Basic | 5 | Divorced | 3 | 1 | 2 | 0 | 1 | Executive | 20,997 |
33 | Self Enquiry | 1 | 9 | Large Business | Male | 3 | 5 | Deluxe | 5 | Single | 6 | 0 | 4 | 0 | 2 | Manager | 20,854 |
28 | Self Enquiry | 1 | 24 | Large Business | Male | 3 | 4 | Basic | 4 | Divorced | 2 | 1 | 4 | 1 | 1 | Executive | 21,736 |
30 | Self Enquiry | 3 | 11 | Salaried | Female | 2 | 3 | Standard | 3 | Divorced | 3 | 0 | 4 | 1 | 1 | Senior Manager | 24,419 |
27 | Company Invited | 3 | 7 | Small Business | Male | 3 | 5 | Deluxe | 5 | Unmarried | 3 | 0 | 3 | 1 | 2 | Manager | 22,972 |
34 | Company Invited | 3 | 15 | Salaried | Female | 3 | 5 | Basic | 3 | Single | 2 | 0 | 1 | 0 | 2 | Executive | 21,020 |
19 | Company Invited | 3 | 12 | Small Business | Male | 4 | 4 | Basic | 4 | Single | 3 | 1 | 4 | 1 | 3 | Executive | 20,556 |
29 | Self Enquiry | 1 | 24 | Small Business | Male | 4 | 4 | Deluxe | 5 | Married | 3 | 0 | 1 | 0 | 2 | Manager | 23,236 |
36 | Self Enquiry | 3 | 10 | Salaried | Male | 4 | 4 | Standard | 3 | Married | 8 | 0 | 5 | 0 | 3 | Senior Manager | 26,501 |
52 | Self Enquiry | 1 | 18 | Large Business | Female | 3 | 5 | Super Deluxe | 4 | Single | 5 | 0 | 1 | 0 | 2 | AVP | 31,820 |
42 | Self Enquiry | 3 | 6 | Salaried | Male | 1 | 3 | Deluxe | 3 | Married | 2 | 0 | 3 | 1 | 0 | Manager | 19,907 |
54 | Company Invited | 3 | 9 | Small Business | Female | 3 | 5 | Standard | 4 | Married | 4 | 0 | 1 | 1 | 1 | Senior Manager | 26,203 |
26 | Self Enquiry | 1 | 12 | Salaried | Female | 3 | 3 | Basic | 3 | Married | 2 | 1 | 1 | 0 | 1 | Executive | 17,659 |
37 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 4 | Deluxe | 3 | Divorced | 2 | 0 | 2 | 1 | 1 | Manager | 21,474 |
38 | Self Enquiry | 1 | 17 | Salaried | Male | 4 | 2 | Basic | 3 | Unmarried | 5 | 0 | 4 | 1 | 3 | Executive | 23,358 |
36 | Self Enquiry | 1 | 32 | Large Business | Male | 4 | 5 | Standard | 4 | Divorced | 5 | 0 | 3 | 1 | 2 | Senior Manager | 29,581 |
40 | Self Enquiry | 1 | 7 | Small Business | Male | 3 | 3 | Standard | 3 | Married | 2 | 0 | 3 | 1 | 1 | Senior Manager | 28,291 |
31 | Self Enquiry | 3 | 16 | Small Business | Female | 2 | 3 | Deluxe | 3 | Married | 3 | 1 | 1 | 0 | 0 | Manager | 21,583 |
29 | Self Enquiry | 1 | 34 | Small Business | Female | 3 | 6 | Deluxe | 5 | Married | 2 | 0 | 4 | 1 | 1 | Manager | 23,886 |
31 | Self Enquiry | 3 | 11 | Salaried | Female | 3 | 3 | Deluxe | 3 | Married | 2 | 0 | 1 | 0 | 2 | Manager | 20,476 |
46 | Self Enquiry | 1 | 7 | Large Business | Male | 4 | 4 | Standard | 4 | Married | 3 | 0 | 3 | 1 | 2 | Senior Manager | 26,119 |
39 | Self Enquiry | 3 | 9 | Small Business | Male | 3 | 4 | Standard | 4 | Unmarried | 2 | 0 | 4 | 1 | 2 | Senior Manager | 26,029 |
44 | Self Enquiry | 1 | 21 | Small Business | Female | 3 | 3 | Standard | 3 | Divorced | 2 | 0 | 3 | 0 | 1 | Senior Manager | 22,978 |
23 | Self Enquiry | 1 | 12 | Salaried | Male | 3 | 3 | Basic | 4 | Married | 3 | 1 | 4 | 0 | 1 | Executive | 21,006 |
51 | Self Enquiry | 3 | 10 | Small Business | Male | 3 | 5 | Basic | 3 | Divorced | 3 | 1 | 4 | 0 | 1 | Executive | 21,361 |
49 | Self Enquiry | 1 | 10 | Small Business | Male | 2 | 4 | King | 3 | Married | 3 | 0 | 3 | 0 | 1 | VP | 33,711 |
37 | Self Enquiry | 1 | 10 | Salaried | Male | 2 | 3 | Basic | 3 | Divorced | 1 | 1 | 5 | 1 | 1 | Executive | 17,996 |
59 | Self Enquiry | 1 | 14 | Small Business | Female | 3 | 5 | Standard | 5 | Divorced | 2 | 1 | 4 | 1 | 1 | Senior Manager | 28,686 |
33 | Self Enquiry | 1 | 8 | Small Business | Male | 3 | 3 | Basic | 3 | Single | 5 | 0 | 3 | 0 | 2 | Executive | 17,496 |
37 | Self Enquiry | 3 | 20 | Small Business | Male | 4 | 5 | Deluxe | 5 | Married | 7 | 1 | 1 | 1 | 1 | Manager | 24,812 |
34 | Company Invited | 3 | 14 | Salaried | Female | 2 | 4 | Deluxe | 4 | Married | 2 | 0 | 4 | 0 | 1 | Manager | 22,980 |
22 | Company Invited | 3 | 16 | Small Business | Male | 3 | 4 | Basic | 3 | Unmarried | 3 | 0 | 4 | 0 | 1 | Executive | 21,288 |
40 | Company Invited | 1 | 14 | Small Business | Male | 2 | 4 | Standard | 4 | Married | 3 | 0 | 1 | 1 | 1 | Senior Manager | 28,757 |
42 | Company Invited | 1 | 11 | Salaried | Male | 3 | 3 | Basic | 3 | Divorced | 5 | 0 | 3 | 1 | 0 | Executive | 17,093 |
39 | Self Enquiry | 1 | 18 | Small Business | Male | 3 | 3 | Deluxe | 4 | Married | 5 | 0 | 3 | 1 | 1 | Manager | 20,295 |
33 | Self Enquiry | 1 | 34 | Salaried | Male | 3 | 3 | Deluxe | 3 | Married | 2 | 1 | 1 | 1 | 0 | Manager | 20,207 |
58 | Self Enquiry | 3 | 36 | Small Business | Male | 3 | 5 | Super Deluxe | 3 | Married | 5 | 0 | 3 | 0 | 1 | AVP | 32,796 |
33 | Self Enquiry | 3 | 22 | Salaried | Fe Male | 3 | 3 | Standard | 5 | Unmarried | 3 | 1 | 5 | 0 | 0 | Senior Manager | 23,564 |
44 | Company Invited | 3 | 7 | Large Business | Male | 3 | 3 | Basic | 3 | Married | 4 | 0 | 3 | 1 | 1 | Executive | 22,978 |
40 | Self Enquiry | 3 | 16 | Large Business | Female | 2 | 4 | Deluxe | 4 | Married | 1 | 0 | 5 | 1 | 1 | Manager | 21,852 |
35 | Self Enquiry | 1 | 7 | Salaried | Male | 3 | 4 | Basic | 3 | Divorced | 3 | 0 | 3 | 1 | 1 | Executive | 21,369 |
42 | Self Enquiry | 1 | 14 | Small Business | Fe Male | 3 | 4 | Deluxe | 3 | Unmarried | 8 | 0 | 3 | 1 | 1 | Manager | 23,681 |
24 | Self Enquiry | 1 | 19 | Salaried | Male | 4 | 4 | Basic | 3 | Unmarried | 3 | 0 | 5 | 1 | 1 | Executive | 21,325 |
34 | Self Enquiry | 3 | 6 | Large Business | Male | 3 | 4 | Standard | 3 | Divorced | 2 | 1 | 1 | 1 | 1 | Senior Manager | 22,083 |
53 | Self Enquiry | 3 | 14 | Small Business | Male | 3 | 3 | Super Deluxe | 3 | Married | 6 | 0 | 3 | 1 | 0 | AVP | 26,836 |
35 | Self Enquiry | 3 | 33 | Salaried | Male | 2 | 3 | Deluxe | 3 | Single | 2 | 1 | 5 | 0 | 0 | Manager | 20,813 |
52 | Self Enquiry | 1 | 11 | Salaried | Male | 3 | 4 | Basic | 3 | Divorced | 2 | 1 | 2 | 1 | 2 | Executive | 21,139 |
36 | Self Enquiry | 1 | 7 | Small Business | Male | 2 | 5 | Basic | 3 | Unmarried | 3 | 0 | 4 | 1 | 1 | Executive | 21,537 |
37 | Company Invited | 1 | 15 | Small Business | Male | 2 | 3 | Basic | 3 | Divorced | 2 | 1 | 2 | 0 | 0 | Executive | 17,326 |
31 | Self Enquiry | 3 | 15 | Salaried | Male | 4 | 4 | Standard | 3 | Married | 7 | 0 | 3 | 1 | 1 | Senior Manager | 25,942 |
50 | Self Enquiry | 3 | 5 | Small Business | Male | 2 | 3 | King | 3 | Married | 5 | 1 | 5 | 0 | 1 | VP | 34,331 |
56 | Self Enquiry | 3 | 9 | Small Business | Male | 3 | 4 | Deluxe | 3 | Unmarried | 6 | 0 | 2 | 0 | 2 | Manager | 23,838 |
33 | Self Enquiry | 1 | 7 | Salaried | Male | 4 | 4 | Basic | 5 | Unmarried | 3 | 0 | 1 | 0 | 2 | Executive | 21,634 |
27 | Company Invited | 1 | 18 | Small Business | Male | 3 | 4 | Deluxe | 5 | Married | 3 | 1 | 3 | 1 | 1 | Manager | 23,419 |
31 | Company Invited | 1 | 26 | Salaried | Male | 3 | 3 | Standard | 3 | Married | 4 | 0 | 3 | 1 | 0 | Senior Manager | 24,824 |
33 | Company Invited | 1 | 22 | Small Business | Female | 3 | 4 | Deluxe | 3 | Married | 7 | 0 | 3 | 0 | 2 | Manager | 25,345 |
41 | Self Enquiry | 3 | 6 | Small Business | Male | 2 | 1 | Standard | 5 | Married | 2 | 0 | 3 | 1 | 1 | Senior Manager | 23,392 |
35 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 3 | Basic | 5 | Married | 2 | 1 | 1 | 1 | 1 | Executive | 17,074 |
22 | Self Enquiry | 1 | 25 | Salaried | Female | 4 | 4 | Basic | 3 | Unmarried | 3 | 0 | 3 | 1 | 3 | Executive | 21,371 |
57 | Company Invited | 1 | 16 | Small Business | Female | 4 | 4 | Basic | 3 | Divorced | 4 | 0 | 2 | 0 | 1 | Executive | 21,620 |
37 | Company Invited | 3 | 27 | Small Business | Female | 2 | 3 | Basic | 3 | Married | 6 | 0 | 1 | 1 | 0 | Executive | 17,973 |
28 | Company Invited | 1 | 6 | Small Business | Male | 2 | 3 | Basic | 3 | Single | 1 | 1 | 4 | 0 | 0 | Executive | 17,154 |
35 | Self Enquiry | 1 | 26 | Small Business | Male | 4 | 4 | Basic | 3 | Married | 2 | 0 | 3 | 0 | 3 | Executive | 21,339 |
46 | Self Enquiry | 1 | 14 | Salaried | Male | 3 | 4 | Standard | 5 | Married | 4 | 0 | 3 | 0 | 1 | Senior Manager | 28,402 |
30 | Self Enquiry | 1 | 16 | Salaried | Male | 2 | 5 | Basic | 3 | Unmarried | 2 | 0 | 2 | 1 | 1 | Executive | 22,661 |
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