The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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/Suunil-Dabral/tourism_project/tourism.csv (at revision 31c8e555409900ad1ce7d81ca501e0bd53cb0778)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/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'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'MonthlyIncome': Value('float64'), 'TypeofContact': Value('string'), 'Occupation': Value('string'), 'Gender': Value('string'), 'ProductPitched': Value('string'), 'MaritalStatus': Value('string'), 'Designation': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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/Suunil-Dabral/tourism_project/tourism.csv (at revision 31c8e555409900ad1ce7d81ca501e0bd53cb0778)
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 | CityTier int64 | DurationOfPitch float64 | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | PreferredPropertyStar float64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | MonthlyIncome float64 | TypeofContact string | Occupation string | Gender string | ProductPitched string | MaritalStatus string | Designation string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 3 | 18 | 2 | 3 | 3 | 1 | 0 | 2 | 1 | 0 | 21,577 | Self Enquiry | Large Business | Female | Deluxe | Single | Manager |
28 | 1 | 13 | 3 | 5 | 3 | 3 | 0 | 2 | 1 | 2 | 21,217 | Self Enquiry | Salaried | Male | Basic | Divorced | Executive |
22 | 1 | 12 | 4 | 4 | 3 | 3 | 0 | 1 | 1 | 2 | 21,795 | Self Enquiry | Small Business | Male | Basic | Single | Executive |
30 | 3 | 27 | 3 | 4 | 3 | 3 | 0 | 3 | 0 | 2 | 20,835 | Company Invited | Large Business | Female | Basic | Divorced | Executive |
27 | 3 | 30 | 3 | 5 | 3 | 2 | 1 | 1 | 0 | 1 | 22,835 | Self Enquiry | Small Business | Female | Deluxe | Married | Manager |
37 | 1 | 17 | 2 | 3 | 3 | 2 | 1 | 3 | 0 | 1 | 27,185 | Company Invited | Salaried | Male | Standard | Married | Senior Manager |
28 | 1 | 12 | 2 | 4 | 3 | 2 | 1 | 4 | 1 | 1 | 17,703 | Company Invited | Salaried | Male | Basic | Married | Executive |
38 | 3 | 7 | 3 | 5 | 3 | 7 | 0 | 2 | 1 | 2 | 29,287 | Self Enquiry | Salaried | Male | Standard | Divorced | Senior Manager |
27 | 1 | 11 | 2 | 4 | 3 | 2 | 1 | 3 | 0 | 0 | 27,808 | Self Enquiry | Large Business | Male | Standard | Married | Senior Manager |
36 | 1 | 30 | 3 | 5 | 3 | 5 | 1 | 4 | 1 | 1 | 24,594 | Self Enquiry | Salaried | Male | Deluxe | Married | Manager |
55 | 1 | 26 | 4 | 4 | 5 | 2 | 1 | 3 | 0 | 1 | 24,163 | Self Enquiry | Small Business | Female | Deluxe | Married | Manager |
21 | 1 | 18 | 4 | 5 | 5 | 3 | 1 | 3 | 1 | 3 | 21,278 | Self Enquiry | Small Business | Female | Basic | Single | Executive |
29 | 3 | 7 | 3 | 5 | 3 | 3 | 1 | 1 | 0 | 1 | 25,512 | Company Invited | Salaried | Male | Deluxe | Married | Manager |
33 | 3 | 8 | 3 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 20,147 | Company Invited | Small Business | Female | Deluxe | Single | Manager |
29 | 1 | 14 | 3 | 4 | 3 | 2 | 1 | 3 | 1 | 1 | 20,056 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
47 | 1 | 14 | 2 | 4 | 3 | 4 | 0 | 5 | 1 | 1 | 23,936 | Company Invited | Small Business | Female | Deluxe | Married | Manager |
25 | 1 | 14 | 3 | 4 | 3 | 3 | 1 | 4 | 0 | 1 | 21,564 | Company Invited | Salaried | Female | Basic | Divorced | Executive |
18 | 3 | 11 | 3 | 3 | 4 | 2 | 1 | 4 | 1 | 2 | 16,878 | Company Invited | Small Business | Male | Basic | Single | Executive |
31 | 3 | 26 | 2 | 3 | 3 | 2 | 0 | 2 | 1 | 0 | 21,932 | Company Invited | Small Business | Female | Deluxe | Divorced | Manager |
35 | 1 | 6 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 1 | 17,506 | Self Enquiry | Salaried | Female | Basic | Single | Executive |
31 | 3 | 11 | 3 | 3 | 3 | 2 | 0 | 1 | 0 | 2 | 20,476 | Self Enquiry | Salaried | Female | Deluxe | Married | Manager |
33 | 1 | 23 | 4 | 6 | 5 | 3 | 1 | 4 | 1 | 3 | 22,597 | Company Invited | Salaried | Female | Basic | Single | Executive |
44 | 1 | 8 | 2 | 3 | 3 | 6 | 1 | 1 | 0 | 1 | 25,209 | Company Invited | Small Business | Male | Standard | Single | Senior Manager |
48 | 1 | 23 | 4 | 2 | 3 | 3 | 1 | 2 | 0 | 1 | 23,745 | Company Invited | Small Business | Male | Deluxe | Married | Manager |
43 | 1 | 15 | 3 | 3 | 3 | 4 | 1 | 3 | 1 | 0 | 20,679 | Company Invited | Small Business | Male | Deluxe | Married | Manager |
36 | 1 | 7 | 3 | 2 | 3 | 5 | 0 | 3 | 0 | 1 | 21,184 | Self Enquiry | Salaried | Female | Basic | Single | Executive |
44 | 1 | 34 | 3 | 2 | 4 | 7 | 0 | 5 | 1 | 2 | 23,554 | Self Enquiry | Large Business | Male | Basic | Married | Executive |
39 | 1 | 9 | 3 | 5 | 4 | 3 | 0 | 1 | 1 | 1 | 21,118 | Company Invited | Small Business | Female | Basic | Single | Executive |
34 | 1 | 22 | 3 | 4 | 3 | 2 | 0 | 5 | 1 | 1 | 17,553 | Company Invited | Salaried | Female | Basic | Single | Executive |
33 | 3 | 14 | 4 | 5 | 3 | 3 | 0 | 3 | 1 | 3 | 24,162 | Self Enquiry | Salaried | Male | Deluxe | Divorced | Manager |
41 | 3 | 17 | 4 | 5 | 4 | 4 | 0 | 4 | 0 | 1 | 28,383 | Self Enquiry | Small Business | Male | Standard | Married | Senior Manager |
34 | 3 | 14 | 3 | 3 | 5 | 6 | 0 | 2 | 1 | 0 | 21,500 | Self Enquiry | Salaried | Female | Deluxe | Divorced | Manager |
27 | 1 | 23 | 3 | 4 | 4 | 4 | 1 | 2 | 1 | 2 | 21,051 | Self Enquiry | Small Business | Male | Basic | Married | Executive |
51 | 1 | 15 | 3 | 3 | 3 | 4 | 0 | 3 | 1 | 0 | 17,075 | Self Enquiry | Salaried | Male | Basic | Divorced | Executive |
46 | 1 | 16 | 3 | 4 | 4 | 2 | 0 | 4 | 1 | 1 | 21,026 | Self Enquiry | Salaried | Male | Deluxe | Married | Manager |
29 | 1 | 15 | 3 | 5 | 4 | 3 | 0 | 4 | 0 | 2 | 20,832 | Self Enquiry | Salaried | Female | Basic | Single | Executive |
38 | 3 | 9 | 4 | 4 | 3 | 6 | 1 | 3 | 0 | 3 | 28,280 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
46 | 3 | 33 | 4 | 4 | 5 | 4 | 0 | 1 | 0 | 3 | 22,964 | Company Invited | Salaried | Female | Deluxe | Married | Manager |
59 | 1 | 9 | 3 | 5 | 3 | 2 | 1 | 2 | 0 | 1 | 21,058 | Company Invited | Salaried | Male | Basic | Married | Executive |
44 | 1 | 13 | 4 | 5 | 3 | 3 | 1 | 4 | 1 | 2 | 22,759 | Self Enquiry | Small Business | Female | Deluxe | Single | Manager |
37 | 2 | 20 | 3 | 5 | 5 | 6 | 1 | 5 | 1 | 2 | 23,317 | Self Enquiry | Salaried | Male | Basic | Married | Executive |
45 | 1 | 31 | 3 | 4 | 3 | 5 | 1 | 5 | 0 | 2 | 21,839 | Company Invited | Salaried | Male | Basic | Married | Executive |
40 | 1 | 30 | 3 | 3 | 3 | 2 | 0 | 3 | 1 | 1 | 18,319 | Self Enquiry | Large Business | Male | Deluxe | Married | Manager |
28 | 3 | 11 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 23,463 | Self Enquiry | Small Business | Male | Deluxe | Single | Manager |
36 | 1 | 29 | 3 | 6 | 3 | 2 | 0 | 4 | 1 | 2 | 22,908 | Self Enquiry | Salaried | Male | Basic | Single | Executive |
55 | 1 | 14 | 2 | 3 | 3 | 3 | 1 | 3 | 1 | 1 | 29,756 | Self Enquiry | Small Business | Female | Super Deluxe | Married | AVP |
43 | 1 | 27 | 3 | 3 | 3 | 1 | 0 | 4 | 0 | 2 | 17,258 | Company Invited | Small Business | Male | Basic | Divorced | Executive |
43 | 3 | 15 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 1 | 25,503 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
38 | 3 | 8 | 2 | 4 | 3 | 4 | 0 | 5 | 1 | 1 | 20,249 | Company Invited | Salaried | Male | Deluxe | Divorced | Manager |
37 | 1 | 15 | 3 | 4 | 3 | 3 | 0 | 4 | 1 | 2 | 28,774 | Self Enquiry | Large Business | Female | Standard | Married | Senior Manager |
35 | 1 | 7 | 3 | 5 | 3 | 3 | 1 | 2 | 0 | 1 | 22,300 | Self Enquiry | Salaried | Male | Basic | Divorced | Executive |
39 | 2 | 9 | 4 | 4 | 4 | 7 | 0 | 3 | 1 | 3 | 21,270 | Company Invited | Salaried | Male | Basic | Married | Executive |
21 | 3 | 6 | 3 | 4 | 4 | 2 | 1 | 5 | 1 | 2 | 17,174 | Company Invited | Large Business | Female | Basic | Single | Executive |
30 | 3 | 15 | 2 | 3 | 3 | 2 | 0 | 5 | 0 | 0 | 16,081 | Self Enquiry | Small Business | Male | Basic | Single | Executive |
23 | 1 | 26 | 4 | 4 | 3 | 3 | 0 | 1 | 1 | 1 | 21,001 | Self Enquiry | Small Business | Male | Basic | Married | Executive |
25 | 1 | 25 | 3 | 4 | 3 | 2 | 0 | 4 | 1 | 1 | 21,452 | Self Enquiry | Salaried | Male | Basic | Divorced | Executive |
39 | 1 | 16 | 3 | 3 | 5 | 3 | 0 | 5 | 1 | 2 | 20,377 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
40 | 1 | 10 | 2 | 3 | 3 | 2 | 0 | 5 | 0 | 1 | 34,033 | Self Enquiry | Small Business | Female | King | Divorced | VP |
41 | 3 | 6 | 2 | 1 | 5 | 2 | 0 | 3 | 1 | 1 | 23,392 | Self Enquiry | Small Business | Male | Standard | Married | Senior Manager |
24 | 1 | 11 | 3 | 4 | 4 | 3 | 0 | 3 | 1 | 2 | 21,973 | Self Enquiry | Small Business | Female | Basic | Single | Executive |
53 | 1 | 15 | 3 | 5 | 4 | 4 | 0 | 1 | 1 | 1 | 23,619 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
37 | 3 | 10 | 3 | 5 | 3 | 3 | 1 | 1 | 1 | 1 | 29,003 | Self Enquiry | Salaried | Male | Standard | Married | Senior Manager |
31 | 1 | 11 | 3 | 4 | 3 | 20 | 1 | 4 | 1 | 2 | 20,963 | Company Invited | Large Business | Male | Basic | Single | Executive |
50 | 1 | 8 | 3 | 3 | 3 | 3 | 1 | 1 | 1 | 2 | 34,237 | Self Enquiry | Small Business | Male | King | Married | VP |
26 | 1 | 31 | 2 | 5 | 3 | 2 | 0 | 1 | 0 | 0 | 17,293 | Self Enquiry | Salaried | Male | Basic | Single | Executive |
51 | 1 | 27 | 3 | 4 | 3 | 4 | 1 | 4 | 1 | 2 | 29,923 | Company Invited | Small Business | Male | Super Deluxe | Married | AVP |
34 | 3 | 8 | 2 | 3 | 3 | 2 | 0 | 5 | 0 | 0 | 21,274 | Self Enquiry | Salaried | Male | Deluxe | Single | Manager |
41 | 3 | 7 | 3 | 6 | 3 | 4 | 1 | 3 | 1 | 1 | 26,135 | Self Enquiry | Small Business | Male | Deluxe | Divorced | Manager |
32 | 1 | 18 | 4 | 4 | 5 | 3 | 1 | 1 | 1 | 2 | 25,511 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
43 | 1 | 13 | 2 | 3 | 5 | 1 | 0 | 5 | 1 | 0 | 24,985 | Self Enquiry | Salaried | Female | Standard | Divorced | Senior Manager |
54 | 3 | 7 | 3 | 4 | 5 | 2 | 0 | 1 | 1 | 2 | 27,059 | Self Enquiry | Small Business | Female | Deluxe | Single | Manager |
32 | 1 | 11 | 3 | 2 | 4 | 1 | 1 | 2 | 1 | 0 | 18,298 | Self Enquiry | Salaried | Male | Basic | Married | Executive |
25 | 3 | 7 | 4 | 4 | 4 | 3 | 1 | 4 | 0 | 1 | 21,880 | Self Enquiry | Large Business | Female | Basic | Single | Executive |
37 | 1 | 13 | 3 | 4 | 3 | 2 | 0 | 5 | 1 | 2 | 21,888 | Self Enquiry | Salaried | Male | Basic | Divorced | Executive |
61 | 3 | 23 | 3 | 4 | 5 | 2 | 0 | 4 | 1 | 1 | 24,083 | Self Enquiry | Small Business | Male | Deluxe | Single | Manager |
36 | 1 | 33 | 3 | 3 | 3 | 7 | 0 | 3 | 1 | 0 | 20,237 | Self Enquiry | Small Business | Male | Deluxe | Divorced | Manager |
26 | 1 | 13 | 2 | 4 | 5 | 1 | 1 | 4 | 1 | 1 | 17,875 | Self Enquiry | Small Business | Female | Standard | Married | Senior Manager |
55 | 1 | 8 | 3 | 3 | 4 | 4 | 0 | 1 | 0 | 1 | 25,976 | Company Invited | Salaried | Male | Standard | Married | Senior Manager |
42 | 3 | 32 | 3 | 3 | 4 | 6 | 0 | 3 | 1 | 1 | 28,525 | Company Invited | Small Business | Female | Super Deluxe | Married | AVP |
27 | 3 | 8 | 2 | 1 | 3 | 1 | 0 | 1 | 0 | 1 | 21,500 | Self Enquiry | Small Business | Female | Deluxe | Single | Manager |
46 | 1 | 6 | 3 | 3 | 5 | 1 | 0 | 2 | 0 | 0 | 24,396 | Self Enquiry | Small Business | Male | Standard | Married | Senior Manager |
39 | 1 | 17 | 4 | 4 | 3 | 5 | 0 | 3 | 0 | 2 | 28,502 | Self Enquiry | Small Business | Female | Deluxe | Married | Manager |
39 | 1 | 17 | 3 | 6 | 3 | 5 | 0 | 1 | 1 | 2 | 31,884 | Self Enquiry | Small Business | Female | Standard | Married | Senior Manager |
38 | 2 | 13 | 4 | 4 | 5 | 6 | 1 | 2 | 1 | 1 | 20,751 | Self Enquiry | Salaried | Male | Basic | Married | Executive |
35 | 1 | 7 | 3 | 4 | 3 | 2 | 0 | 4 | 1 | 1 | 24,162 | Self Enquiry | Salaried | Male | Deluxe | Married | Manager |
39 | 1 | 7 | 3 | 2 | 3 | 2 | 0 | 1 | 0 | 1 | 26,303 | Self Enquiry | Salaried | Female | Deluxe | Single | Manager |
27 | 3 | 30 | 3 | 5 | 3 | 2 | 1 | 2 | 1 | 1 | 22,835 | Self Enquiry | Small Business | Female | Deluxe | Divorced | Manager |
39 | 1 | 28 | 2 | 3 | 5 | 2 | 1 | 5 | 1 | 0 | 25,880 | Company Invited | Small Business | Female | Standard | Single | Senior Manager |
23 | 1 | 12 | 3 | 1 | 5 | 2 | 1 | 3 | 0 | 0 | 16,601 | Self Enquiry | Salaried | Male | Basic | Married | Executive |
31 | 3 | 29 | 4 | 4 | 5 | 2 | 0 | 1 | 1 | 2 | 27,090 | Company Invited | Salaried | Female | Standard | Married | Senior Manager |
31 | 1 | 29 | 3 | 4 | 3 | 6 | 1 | 2 | 0 | 2 | 20,810 | Self Enquiry | Salaried | Female | Basic | Divorced | Executive |
35 | 3 | 16 | 2 | 4 | 5 | 1 | 0 | 5 | 1 | 1 | 25,306 | Self Enquiry | Small Business | Male | Standard | Married | Senior Manager |
31 | 1 | 6 | 3 | 1 | 4 | 2 | 0 | 3 | 1 | 2 | 22,446 | Company Invited | Salaried | Female | Standard | Single | Senior Manager |
38 | 1 | 16 | 2 | 5 | 3 | 4 | 0 | 1 | 1 | 1 | 28,206 | Self Enquiry | Small Business | Female | Standard | Married | Senior Manager |
30 | 1 | 10 | 2 | 3 | 3 | 19 | 1 | 4 | 1 | 1 | 17,285 | Company Invited | Large Business | Male | Basic | Single | Executive |
34 | 3 | 32 | 3 | 5 | 4 | 4 | 1 | 5 | 1 | 1 | 27,058 | Self Enquiry | Small Business | Male | Standard | Single | Senior Manager |
54 | 3 | 13 | 3 | 4 | 3 | 4 | 1 | 5 | 0 | 2 | 20,984 | Self Enquiry | Small Business | Male | Deluxe | Married | Manager |
23 | 3 | 13 | 2 | 3 | 3 | 2 | 1 | 1 | 1 | 0 | 17,275 | Self Enquiry | Salaried | Male | Basic | Married | Executive |
24 | 1 | 17 | 3 | 2 | 3 | 4 | 0 | 1 | 1 | 1 | 20,751 | Self Enquiry | Large Business | Male | Basic | Married | Executive |
46 | 3 | 27 | 3 | 4 | 3 | 2 | 0 | 1 | 1 | 1 | 23,528 | Self Enquiry | Salaried | Female | Deluxe | Single | Manager |
End of preview.