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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/Sandhya777/tourism-package-prediction1/tourism.csv (at revision f9d13926b71023e8dbf7a97fc40ef5c062d0b536)
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: int64
typeofcontact: string
citytier: int64
durationofpitch: int64
occupation: string
gender: string
numberofpersonvisiting: int64
numberoffollowups: int64
productpitched: string
preferredpropertystar: int64
maritalstatus: string
numberoftrips: int64
passport: int64
pitchsatisfactionscore: int64
owncar: int64
numberofchildrenvisiting: int64
designation: string
monthlyincome: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2619
to
{'age': Value('int64'), 'citytier': Value('int64'), 'durationofpitch': Value('int64'), 'numberofpersonvisiting': Value('int64'), 'numberoffollowups': Value('int64'), 'preferredpropertystar': Value('int64'), 'numberoftrips': Value('int64'), 'passport': Value('int64'), 'pitchsatisfactionscore': Value('int64'), 'owncar': Value('int64'), 'numberofchildrenvisiting': Value('int64'), 'monthlyincome': Value('int64'), 'typeofcontact': Value('string'), 'occupation': Value('string'), 'gender': Value('string'), 'maritalstatus': Value('string'), 'designation': Value('string'), 'productpitched': Value('string')}
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 1455, 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 1054, 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/Sandhya777/tourism-package-prediction1/tourism.csv (at revision f9d13926b71023e8dbf7a97fc40ef5c062d0b536)
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 int64 | citytier int64 | durationofpitch int64 | numberofpersonvisiting int64 | numberoffollowups int64 | preferredpropertystar int64 | numberoftrips int64 | passport int64 | pitchsatisfactionscore int64 | owncar int64 | numberofchildrenvisiting int64 | monthlyincome int64 | typeofcontact string | occupation string | gender string | maritalstatus string | designation string | productpitched string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44 | 1 | 8 | 3 | 1 | 3 | 2 | 1 | 4 | 1 | 0 | 22,879 | Self Enquiry | Salaried | Female | Married | Senior Manager | Standard |
35 | 3 | 20 | 3 | 4 | 3 | 3 | 0 | 1 | 1 | 2 | 27,306 | Self Enquiry | Small Business | Male | Married | Senior Manager | Standard |
47 | 3 | 7 | 4 | 4 | 5 | 3 | 0 | 2 | 1 | 2 | 29,131 | Self Enquiry | Small Business | Female | Married | Senior Manager | Standard |
32 | 1 | 6 | 3 | 3 | 4 | 2 | 0 | 3 | 1 | 0 | 21,220 | Self Enquiry | Salaried | Male | Married | Manager | Deluxe |
59 | 1 | 9 | 3 | 4 | 3 | 6 | 0 | 2 | 1 | 2 | 21,157 | Self Enquiry | Large Business | Male | Single | Executive | Basic |
44 | 3 | 11 | 2 | 3 | 4 | 1 | 0 | 5 | 1 | 1 | 33,213 | Self Enquiry | Small Business | Male | Divorced | VP | King |
32 | 1 | 35 | 2 | 4 | 4 | 2 | 0 | 3 | 1 | 0 | 17,837 | Self Enquiry | Salaried | Female | Single | Executive | Basic |
27 | 3 | 7 | 3 | 4 | 3 | 3 | 0 | 5 | 0 | 2 | 23,974 | Self Enquiry | Salaried | Male | Married | Manager | Deluxe |
38 | 3 | 8 | 2 | 4 | 3 | 4 | 0 | 5 | 1 | 1 | 20,249 | Company Invited | Salaried | Male | Divorced | Manager | Deluxe |
32 | 1 | 12 | 3 | 4 | 3 | 2 | 1 | 4 | 1 | 1 | 23,499 | Self Enquiry | Large Business | Male | Married | Executive | Basic |
40 | 1 | 30 | 3 | 3 | 3 | 2 | 0 | 3 | 1 | 1 | 18,319 | Self Enquiry | Large Business | Male | Married | Manager | Deluxe |
38 | 1 | 20 | 3 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 22,963 | Self Enquiry | Small Business | Male | Married | Manager | Deluxe |
35 | 3 | 6 | 3 | 3 | 3 | 2 | 0 | 5 | 1 | 0 | 23,789 | Company Invited | Small Business | Female | Unmarried | Senior Manager | Standard |
35 | 1 | 8 | 3 | 3 | 5 | 2 | 1 | 1 | 1 | 1 | 17,074 | Self Enquiry | Salaried | Female | Married | Executive | Basic |
34 | 1 | 17 | 3 | 6 | 3 | 2 | 0 | 5 | 0 | 1 | 22,086 | Self Enquiry | Small Business | Male | Married | Executive | Basic |
33 | 1 | 36 | 3 | 5 | 4 | 3 | 0 | 3 | 1 | 1 | 21,515 | Self Enquiry | Salaried | Female | Unmarried | Executive | Basic |
51 | 1 | 15 | 3 | 3 | 3 | 4 | 0 | 3 | 1 | 0 | 17,075 | Self Enquiry | Salaried | Male | Divorced | Executive | Basic |
29 | 3 | 30 | 2 | 1 | 5 | 2 | 0 | 3 | 1 | 1 | 16,091 | Company Invited | Large Business | Male | Single | Executive | Basic |
34 | 3 | 25 | 3 | 2 | 3 | 1 | 1 | 2 | 1 | 2 | 20,304 | Company Invited | Small Business | Male | Single | Manager | Deluxe |
38 | 1 | 14 | 2 | 4 | 3 | 6 | 0 | 2 | 0 | 1 | 32,342 | Self Enquiry | Small Business | Male | Single | Senior Manager | Standard |
46 | 1 | 6 | 3 | 3 | 5 | 1 | 0 | 2 | 0 | 0 | 24,396 | Self Enquiry | Small Business | Male | Married | Senior Manager | Standard |
54 | 2 | 25 | 2 | 3 | 4 | 3 | 0 | 3 | 1 | 0 | 25,725 | Self Enquiry | Small Business | Male | Divorced | Senior Manager | Standard |
56 | 1 | 15 | 2 | 3 | 3 | 1 | 0 | 4 | 0 | 0 | 26,103 | Self Enquiry | Small Business | Male | Married | AVP | Super Deluxe |
30 | 1 | 10 | 2 | 3 | 3 | 19 | 1 | 4 | 1 | 1 | 17,285 | Company Invited | Large Business | Male | Single | Executive | Basic |
26 | 1 | 6 | 3 | 3 | 5 | 1 | 0 | 5 | 1 | 2 | 17,867 | Self Enquiry | Small Business | Male | Single | Executive | Basic |
33 | 1 | 13 | 2 | 3 | 3 | 1 | 0 | 4 | 1 | 0 | 26,691 | Self Enquiry | Small Business | Male | Married | Senior Manager | Standard |
24 | 1 | 23 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 1 | 17,127 | Self Enquiry | Salaried | Male | Married | Executive | Basic |
30 | 1 | 36 | 4 | 6 | 3 | 2 | 0 | 5 | 1 | 3 | 25,062 | Self Enquiry | Salaried | Male | Married | Manager | Deluxe |
33 | 3 | 8 | 3 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 20,147 | Company Invited | Small Business | Female | Single | Manager | Deluxe |
53 | 3 | 8 | 2 | 4 | 4 | 3 | 0 | 1 | 1 | 0 | 22,525 | Company Invited | Small Business | Female | Married | Senior Manager | Standard |
29 | 3 | 14 | 3 | 4 | 5 | 2 | 0 | 3 | 1 | 2 | 23,576 | Company Invited | Salaried | Male | Unmarried | Manager | Deluxe |
39 | 1 | 15 | 2 | 3 | 5 | 2 | 0 | 4 | 1 | 0 | 20,151 | Self Enquiry | Small Business | Male | Married | Manager | Deluxe |
46 | 3 | 9 | 4 | 4 | 4 | 2 | 0 | 5 | 1 | 3 | 23,483 | Self Enquiry | Salaried | Male | Married | Manager | Deluxe |
35 | 1 | 14 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 1 | 30,672 | Self Enquiry | Salaried | Female | Single | Senior Manager | Standard |
35 | 3 | 9 | 4 | 4 | 3 | 8 | 0 | 5 | 0 | 1 | 20,909 | Company Invited | Small Business | Female | Married | Executive | Basic |
33 | 1 | 7 | 4 | 5 | 4 | 8 | 0 | 3 | 0 | 3 | 21,010 | Company Invited | Salaried | Female | Married | Executive | Basic |
29 | 1 | 16 | 2 | 4 | 3 | 2 | 0 | 4 | 1 | 0 | 21,623 | Company Invited | Salaried | Female | Unmarried | Executive | Basic |
41 | 3 | 16 | 2 | 3 | 3 | 1 | 0 | 1 | 0 | 1 | 21,230 | Company Invited | Salaried | Male | Single | Manager | Deluxe |
43 | 1 | 36 | 3 | 6 | 3 | 6 | 0 | 3 | 1 | 1 | 22,950 | Self Enquiry | Small Business | Male | Unmarried | Manager | Deluxe |
35 | 3 | 13 | 3 | 6 | 3 | 2 | 0 | 4 | 0 | 2 | 21,029 | Company Invited | Small Business | Female | Married | Executive | Basic |
41 | 3 | 12 | 3 | 3 | 3 | 4 | 1 | 1 | 0 | 0 | 28,591 | Self Enquiry | Salaried | Female | Single | Senior Manager | Standard |
33 | 1 | 6 | 2 | 4 | 3 | 1 | 0 | 4 | 0 | 0 | 21,949 | Self Enquiry | Salaried | Female | Unmarried | Manager | Deluxe |
40 | 1 | 15 | 2 | 3 | 3 | 1 | 0 | 4 | 0 | 0 | 28,499 | Company Invited | Small Business | Female | Unmarried | Senior Manager | Standard |
26 | 1 | 9 | 3 | 3 | 5 | 1 | 0 | 3 | 0 | 1 | 18,102 | Company Invited | Large Business | Male | Single | Executive | Basic |
41 | 1 | 25 | 2 | 3 | 5 | 3 | 0 | 1 | 0 | 0 | 18,072 | Self Enquiry | Salaried | Male | Married | Manager | Deluxe |
37 | 1 | 17 | 2 | 3 | 3 | 2 | 1 | 3 | 0 | 1 | 27,185 | Company Invited | Salaried | Male | Married | Senior Manager | Standard |
31 | 3 | 13 | 2 | 4 | 3 | 4 | 0 | 4 | 1 | 1 | 17,329 | Self Enquiry | Salaried | Male | Married | Executive | Basic |
45 | 3 | 8 | 3 | 6 | 4 | 8 | 0 | 3 | 0 | 2 | 21,040 | Self Enquiry | Salaried | Male | Single | Manager | Deluxe |
33 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 5 | 1 | 2 | 18,348 | Company Invited | Salaried | Male | Single | Executive | Basic |
33 | 1 | 9 | 4 | 4 | 4 | 3 | 0 | 4 | 0 | 1 | 21,048 | Self Enquiry | Small Business | Female | Divorced | Executive | Basic |
33 | 1 | 14 | 3 | 3 | 3 | 3 | 1 | 3 | 0 | 2 | 21,388 | Self Enquiry | Salaried | Male | Unmarried | Manager | Deluxe |
30 | 3 | 18 | 2 | 3 | 3 | 1 | 0 | 2 | 1 | 0 | 21,577 | Self Enquiry | Large Business | Female | Unmarried | Manager | Deluxe |
42 | 1 | 25 | 2 | 2 | 3 | 7 | 1 | 3 | 1 | 1 | 17,759 | Company Invited | Small Business | Male | Married | Executive | Basic |
46 | 1 | 8 | 2 | 3 | 3 | 7 | 0 | 5 | 1 | 0 | 32,861 | Self Enquiry | Salaried | Male | Married | AVP | Super Deluxe |
51 | 1 | 16 | 4 | 4 | 3 | 6 | 0 | 5 | 1 | 3 | 21,058 | Self Enquiry | Salaried | Male | Married | Executive | Basic |
30 | 1 | 8 | 2 | 5 | 3 | 3 | 0 | 1 | 1 | 0 | 21,091 | Self Enquiry | Salaried | Female | Single | Manager | Deluxe |
37 | 1 | 25 | 3 | 3 | 3 | 6 | 0 | 5 | 0 | 1 | 22,366 | Company Invited | Salaried | Male | Divorced | Executive | Basic |
28 | 2 | 6 | 2 | 3 | 3 | 2 | 0 | 4 | 0 | 1 | 17,706 | Company Invited | Salaried | Male | Married | Executive | Basic |
42 | 1 | 12 | 2 | 3 | 5 | 1 | 0 | 3 | 1 | 0 | 28,348 | Self Enquiry | Small Business | Male | Married | Senior Manager | Standard |
44 | 1 | 10 | 2 | 3 | 4 | 1 | 0 | 2 | 1 | 0 | 20,933 | Self Enquiry | Small Business | Male | Single | Manager | Deluxe |
39 | 1 | 9 | 3 | 5 | 4 | 3 | 0 | 1 | 1 | 1 | 21,118 | Company Invited | Small Business | Female | Single | Executive | Basic |
42 | 1 | 23 | 2 | 2 | 5 | 4 | 1 | 2 | 0 | 0 | 21,545 | Self Enquiry | Salaried | Female | Unmarried | Manager | Deluxe |
39 | 1 | 28 | 2 | 3 | 5 | 2 | 1 | 5 | 1 | 1 | 25,880 | Company Invited | Small Business | Female | Unmarried | Senior Manager | Standard |
28 | 1 | 6 | 2 | 5 | 3 | 1 | 0 | 3 | 1 | 0 | 21,674 | Company Invited | Salaried | Female | Divorced | Manager | Deluxe |
43 | 1 | 20 | 3 | 3 | 5 | 7 | 0 | 5 | 1 | 1 | 32,159 | Self Enquiry | Salaried | Male | Married | AVP | Super Deluxe |
45 | 1 | 22 | 4 | 4 | 3 | 3 | 0 | 3 | 0 | 2 | 26,656 | Self Enquiry | Small Business | Female | Divorced | Senior Manager | Standard |
53 | 1 | 13 | 4 | 4 | 5 | 5 | 1 | 4 | 1 | 2 | 24,255 | Self Enquiry | Large Business | Male | Married | Manager | Deluxe |
42 | 1 | 16 | 4 | 4 | 5 | 4 | 0 | 1 | 0 | 1 | 20,916 | Self Enquiry | Salaried | Male | Married | Executive | Basic |
36 | 1 | 33 | 3 | 3 | 3 | 7 | 0 | 3 | 1 | 0 | 20,237 | Self Enquiry | Small Business | Male | Divorced | Manager | Deluxe |
22 | 1 | 7 | 4 | 5 | 4 | 3 | 1 | 5 | 0 | 3 | 20,748 | Self Enquiry | Large Business | Female | Single | Executive | Basic |
37 | 1 | 12 | 4 | 4 | 4 | 2 | 0 | 2 | 0 | 3 | 24,592 | Self Enquiry | Salaried | Male | Unmarried | Manager | Deluxe |
30 | 3 | 20 | 3 | 4 | 4 | 7 | 0 | 3 | 0 | 2 | 24,443 | Company Invited | Large Business | Female | Unmarried | Manager | Deluxe |
36 | 1 | 18 | 4 | 5 | 5 | 4 | 1 | 5 | 1 | 3 | 28,562 | Company Invited | Small Business | Male | Married | Senior Manager | Standard |
40 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 5 | 0 | 1 | 34,033 | Self Enquiry | Small Business | Female | Divorced | VP | King |
51 | 1 | 14 | 2 | 5 | 3 | 3 | 0 | 2 | 0 | 1 | 25,650 | Company Invited | Salaried | Male | Unmarried | Senior Manager | Standard |
39 | 3 | 7 | 3 | 5 | 5 | 6 | 0 | 3 | 0 | 2 | 21,536 | Self Enquiry | Salaried | Male | Unmarried | Executive | Basic |
43 | 1 | 18 | 2 | 4 | 4 | 2 | 0 | 3 | 0 | 1 | 29,336 | Self Enquiry | Salaried | Male | Married | AVP | Super Deluxe |
35 | 1 | 10 | 3 | 3 | 3 | 2 | 0 | 4 | 0 | 0 | 16,951 | Self Enquiry | Salaried | Male | Married | Executive | Basic |
40 | 1 | 9 | 4 | 4 | 3 | 2 | 0 | 2 | 1 | 2 | 29,616 | Company Invited | Large Business | Female | Single | Senior Manager | Standard |
27 | 3 | 17 | 3 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 23,362 | Self Enquiry | Small Business | Male | Unmarried | Manager | Deluxe |
26 | 1 | 8 | 2 | 3 | 5 | 7 | 1 | 5 | 1 | 0 | 17,042 | Company Invited | Salaried | Male | Divorced | Executive | Basic |
43 | 3 | 32 | 3 | 3 | 3 | 2 | 1 | 2 | 0 | 0 | 31,959 | Company Invited | Salaried | Male | Divorced | AVP | Super Deluxe |
32 | 1 | 18 | 4 | 4 | 5 | 3 | 1 | 2 | 0 | 3 | 25,511 | Self Enquiry | Small Business | Male | Divorced | Manager | Deluxe |
35 | 1 | 12 | 3 | 5 | 5 | 4 | 0 | 2 | 0 | 1 | 30,309 | Self Enquiry | Small Business | Female | Single | Senior Manager | Standard |
34 | 1 | 11 | 3 | 5 | 4 | 8 | 0 | 4 | 0 | 2 | 21,300 | Self Enquiry | Small Business | Female | Married | Executive | Basic |
31 | 1 | 14 | 2 | 4 | 4 | 2 | 0 | 4 | 0 | 1 | 16,261 | Self Enquiry | Salaried | Female | Single | Executive | Basic |
35 | 3 | 16 | 4 | 4 | 3 | 3 | 0 | 1 | 0 | 1 | 24,392 | Self Enquiry | Salaried | Female | Married | Manager | Deluxe |
42 | 3 | 16 | 3 | 6 | 3 | 2 | 0 | 5 | 1 | 2 | 24,829 | Company Invited | Salaried | Male | Married | AVP | Super Deluxe |
34 | 1 | 14 | 2 | 3 | 5 | 4 | 0 | 5 | 1 | 1 | 20,121 | Self Enquiry | Salaried | Female | Married | Manager | Deluxe |
34 | 1 | 9 | 3 | 4 | 5 | 2 | 0 | 3 | 1 | 1 | 21,385 | Self Enquiry | Salaried | Female | Divorced | Executive | Basic |
34 | 1 | 13 | 2 | 3 | 4 | 1 | 0 | 3 | 1 | 0 | 26,994 | Self Enquiry | Salaried | Female | Unmarried | Senior Manager | Standard |
39 | 1 | 36 | 3 | 4 | 3 | 5 | 0 | 2 | 0 | 2 | 24,939 | Self Enquiry | Large Business | Male | Divorced | Manager | Deluxe |
29 | 1 | 12 | 3 | 4 | 3 | 3 | 1 | 1 | 0 | 1 | 22,119 | Self Enquiry | Large Business | Male | Unmarried | Executive | Basic |
35 | 1 | 8 | 2 | 3 | 3 | 3 | 0 | 3 | 0 | 1 | 20,762 | Company Invited | Small Business | Male | Married | Manager | Deluxe |
26 | 3 | 10 | 2 | 4 | 3 | 2 | 1 | 2 | 1 | 1 | 20,828 | Self Enquiry | Small Business | Male | Single | Manager | Deluxe |
37 | 1 | 10 | 3 | 4 | 3 | 7 | 0 | 2 | 1 | 1 | 21,513 | Self Enquiry | Salaried | Female | Married | Executive | Basic |
35 | 1 | 16 | 4 | 4 | 5 | 6 | 0 | 3 | 0 | 2 | 24,024 | Company Invited | Salaried | Male | Married | Manager | Deluxe |
40 | 1 | 9 | 3 | 4 | 3 | 2 | 0 | 3 | 1 | 1 | 30,847 | Company Invited | Salaried | Male | Married | AVP | Super Deluxe |
33 | 3 | 11 | 2 | 3 | 3 | 2 | 1 | 2 | 1 | 0 | 17,851 | Self Enquiry | Small Business | Female | Single | Executive | Basic |
38 | 3 | 15 | 3 | 4 | 4 | 1 | 0 | 4 | 0 | 0 | 17,899 | Self Enquiry | Small Business | Male | Divorced | Executive | Basic |
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