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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 ({'MaritalStatus', 'DurationOfPitch', 'CityTier', 'Passport', 'Age', 'PreferredPropertyStar', 'Occupation', 'TypeofContact', 'NumberOfChildrenVisiting', 'MonthlyIncome', 'ProductPitched', 'NumberOfFollowups', 'OwnCar', 'Gender', 'NumberOfTrips', 'NumberOfPersonVisiting', 'Designation', 'PitchSatisfactionScore'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LalithaShiva/tourism-train-test-split/y_train.csv (at revision 323974ebd1744c1d66d7ad5bcaf11b058e1681dd)
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
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
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 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'}) and 18 missing columns ({'MaritalStatus', 'DurationOfPitch', 'CityTier', 'Passport', 'Age', 'PreferredPropertyStar', 'Occupation', 'TypeofContact', 'NumberOfChildrenVisiting', 'MonthlyIncome', 'ProductPitched', 'NumberOfFollowups', 'OwnCar', 'Gender', 'NumberOfTrips', 'NumberOfPersonVisiting', 'Designation', 'PitchSatisfactionScore'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LalithaShiva/tourism-train-test-split/y_train.csv (at revision 323974ebd1744c1d66d7ad5bcaf11b058e1681dd)
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26 | Company Invited | 2 | 23 | Salaried | Female | 2 | 3 | Basic | 3 | Married | 1 | 1 | 5 | 0 | 1 | Executive | 17,741 |
42 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 4 | Deluxe | 3 | Divorced | 1 | 1 | 3 | 0 | 1 | Manager | 21,062 |
56 | Company Invited | 1 | 9 | Salaried | Male | 4 | 4 | Standard | 4 | Married | 5 | 0 | 1 | 0 | 2 | Senior Manager | 29,654 |
27 | Company Invited | 3 | 36 | Small Business | Male | 4 | 6 | Deluxe | 5 | Unmarried | 2 | 0 | 3 | 1 | 2 | Manager | 23,647 |
37 | Self Enquiry | 1 | 9 | Salaried | Female | 4 | 4 | Basic | 3 | Divorced | 6 | 0 | 5 | 1 | 1 | Executive | 21,221 |
31 | Self Enquiry | 2 | 28 | Salaried | Male | 2 | 5 | Basic | 3 | Married | 2 | 0 | 1 | 0 | 1 | Executive | 24,852 |
49 | Company Invited | 3 | 8 | Small Business | Male | 3 | 4 | Deluxe | 4 | Married | 3 | 0 | 3 | 1 | 2 | Manager | 20,390 |
43 | Company Invited | 1 | 16 | Salaried | Female | 2 | 3 | Basic | 3 | Single | 1 | 0 | 5 | 0 | 0 | Executive | 17,455 |
40 | Self Enquiry | 3 | 9 | Salaried | Male | 3 | 2 | Standard | 3 | Unmarried | 2 | 0 | 1 | 0 | 1 | Senior Manager | 26,558 |
58 | Self Enquiry | 1 | 31 | Salaried | Male | 3 | 3 | Standard | 3 | Married | 5 | 1 | 4 | 1 | 2 | Senior Manager | 28,117 |
56 | Self Enquiry | 1 | 27 | Large Business | Male | 3 | 4 | Deluxe | 3 | Divorced | 5 | 1 | 2 | 1 | 2 | Manager | 24,093 |
56 | Company Invited | 3 | 12 | Salaried | Female | 2 | 2 | Super Deluxe | 5 | Divorced | 1 | 0 | 3 | 1 | 0 | AVP | 28,212 |
52 | Self Enquiry | 3 | 34 | Salaried | Male | 3 | 4 | Deluxe | 3 | Single | 3 | 1 | 5 | 1 | 2 | Manager | 32,704 |
36 | Self Enquiry | 1 | 7 | Large Business | Female | 3 | 5 | Standard | 5 | Married | 3 | 1 | 1 | 1 | 0 | Senior Manager | 25,252 |
24 | Company Invited | 1 | 15 | Salaried | Male | 2 | 4 | Basic | 4 | Married | 2 | 0 | 5 | 1 | 0 | Executive | 17,694 |
30 | Self Enquiry | 3 | 14 | Salaried | Male | 3 | 3 | Standard | 3 | Married | 6 | 0 | 3 | 1 | 0 | Senior Manager | 22,264 |
25 | Self Enquiry | 1 | 15 | Salaried | Male | 2 | 3 | Basic | 5 | Single | 4 | 0 | 1 | 1 | 0 | Executive | 17,096 |
37 | Self Enquiry | 1 | 11 | Salaried | Male | 3 | 5 | Deluxe | 3 | Unmarried | 3 | 0 | 5 | 1 | 2 | Manager | 24,488 |
20 | Self Enquiry | 1 | 16 | Small Business | Male | 2 | 3 | Basic | 3 | Single | 2 | 1 | 5 | 1 | 1 | Executive | 16,009 |
44 | Self Enquiry | 3 | 11 | Small Business | Female | 3 | 5 | Standard | 3 | Single | 5 | 0 | 3 | 1 | 1 | Senior Manager | 28,909 |
29 | Self Enquiry | 3 | 12 | Small Business | Male | 4 | 4 | Deluxe | 3 | Unmarried | 3 | 0 | 3 | 0 | 2 | Manager | 23,586 |
36 | Self Enquiry | 1 | 14 | Salaried | Male | 3 | 4 | Standard | 3 | Single | 5 | 0 | 3 | 0 | 2 | Senior Manager | 28,899 |
49 | Self Enquiry | 1 | 11 | Salaried | Male | 4 | 5 | Standard | 3 | Single | 2 | 0 | 5 | 1 | 2 | Senior Manager | 29,677 |
36 | Self Enquiry | 1 | 12 | Salaried | Female | 2 | 2 | Deluxe | 3 | Divorced | 4 | 0 | 2 | 0 | 0 | Manager | 18,038 |
41 | Self Enquiry | 3 | 9 | Small Business | Female | 3 | 4 | Deluxe | 4 | Married | 2 | 0 | 1 | 0 | 1 | Manager | 24,393 |
34 | Self Enquiry | 2 | 10 | Salaried | Male | 3 | 4 | Basic | 4 | Married | 5 | 1 | 5 | 0 | 2 | Executive | 20,955 |
30 | Company Invited | 3 | 9 | Salaried | Male | 3 | 4 | Deluxe | 3 | Unmarried | 3 | 0 | 2 | 0 | 1 | Manager | 23,232 |
45 | Company Invited | 1 | 13 | Salaried | Male | 3 | 3 | Standard | 5 | Married | 2 | 0 | 2 | 1 | 2 | Senior Manager | 20,210 |
56 | Self Enquiry | 1 | 27 | Large Business | Male | 3 | 4 | Deluxe | 3 | Married | 5 | 1 | 1 | 0 | 1 | Manager | 24,093 |
18 | Company Invited | 1 | 11 | Salaried | Male | 3 | 3 | Basic | 3 | Single | 2 | 0 | 1 | 0 | 1 | Executive | 16,051 |
40 | Self Enquiry | 1 | 7 | Small Business | Male | 3 | 2 | Standard | 3 | Married | 2 | 0 | 3 | 1 | 1 | Senior Manager | 28,291 |
33 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 3 | Basic | 3 | Single | 2 | 1 | 3 | 1 | 0 | Executive | 17,686 |
31 | Self Enquiry | 3 | 12 | Small Business | Female | 2 | 5 | Deluxe | 3 | Married | 3 | 0 | 1 | 1 | 1 | Manager | 24,796 |
29 | Company Invited | 1 | 13 | Salaried | Male | 3 | 5 | Basic | 3 | Married | 3 | 1 | 4 | 1 | 1 | Executive | 21,381 |
44 | Company Invited | 1 | 23 | Salaried | Male | 3 | 5 | Basic | 3 | Single | 3 | 0 | 4 | 1 | 1 | Executive | 17,290 |
38 | Company Invited | 1 | 12 | Small Business | Female | 3 | 5 | Deluxe | 3 | Married | 1 | 1 | 2 | 0 | 2 | Manager | 20,329 |
36 | Self Enquiry | 1 | 22 | Salaried | Female | 2 | 1 | Basic | 5 | Single | 2 | 0 | 1 | 1 | 0 | Executive | 17,743 |
30 | Self Enquiry | 3 | 13 | Small Business | Male | 2 | 3 | Basic | 4 | Single | 1 | 0 | 1 | 0 | 0 | Executive | 17,983 |
37 | Self Enquiry | 3 | 12 | Small Business | Male | 3 | 3 | Deluxe | 3 | Divorced | 5 | 0 | 3 | 0 | 0 | Manager | 21,502 |
49 | Self Enquiry | 3 | 36 | Small Business | Female | 4 | 4 | Standard | 3 | Married | 5 | 0 | 4 | 0 | 2 | Senior Manager | 31,182 |
26 | Self Enquiry | 1 | 9 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 8 | 1 | 5 | 0 | 1 | Executive | 22,655 |
36 | Self Enquiry | 3 | 14 | Salaried | Male | 4 | 4 | Basic | 3 | Divorced | 3 | 0 | 3 | 1 | 1 | Executive | 21,082 |
39 | Company Invited | 1 | 36 | Salaried | Female | 3 | 4 | Deluxe | 3 | Single | 3 | 0 | 3 | 1 | 1 | Manager | 21,084 |
35 | Company Invited | 1 | 9 | Salaried | Male | 2 | 4 | Basic | 3 | Married | 2 | 0 | 1 | 1 | 1 | Executive | 16,281 |
51 | Company Invited | 1 | 6 | Small Business | Female | 1 | 4 | Standard | 5 | Unmarried | 4 | 0 | 2 | 1 | 0 | Senior Manager | 22,484 |
37 | Self Enquiry | 3 | 8 | Small Business | Male | 3 | 3 | Deluxe | 3 | Married | 5 | 1 | 3 | 0 | 2 | Manager | 24,602 |
28 | Company Invited | 1 | 10 | Small Business | Male | 3 | 4 | Basic | 3 | Married | 3 | 0 | 1 | 0 | 1 | Executive | 20,384 |
35 | Company Invited | 3 | 14 | Small Business | Female | 3 | 4 | Standard | 3 | Married | 5 | 1 | 5 | 1 | 2 | Senior Manager | 25,377 |
31 | Self Enquiry | 1 | 14 | Small Business | Male | 3 | 5 | Basic | 4 | Married | 3 | 0 | 5 | 0 | 1 | Executive | 20,819 |
31 | Self Enquiry | 2 | 24 | Salaried | Male | 2 | 1 | Basic | 5 | Married | 1 | 0 | 1 | 1 | 0 | Executive | 17,956 |
30 | Company Invited | 1 | 7 | Salaried | Male | 4 | 2 | Deluxe | 3 | Unmarried | 2 | 1 | 3 | 0 | 2 | Manager | 24,972 |
35 | Self Enquiry | 1 | 22 | Salaried | Male | 3 | 3 | Standard | 3 | Married | 5 | 1 | 1 | 0 | 0 | Senior Manager | 22,632 |
46 | Company Invited | 3 | 13 | Small Business | Fe Male | 3 | 5 | Standard | 3 | Unmarried | 8 | 0 | 4 | 1 | 1 | Senior Manager | 27,543 |
21 | Self Enquiry | 3 | 28 | Small Business | Male | 3 | 2 | Basic | 3 | Unmarried | 3 | 0 | 3 | 1 | 2 | Executive | 21,356 |
30 | Self Enquiry | 3 | 33 | Small Business | Male | 2 | 3 | Deluxe | 3 | Married | 1 | 0 | 3 | 1 | 0 | Manager | 20,304 |
37 | Company Invited | 3 | 10 | Small Business | Male | 3 | 5 | Standard | 3 | Married | 6 | 0 | 1 | 0 | 1 | Senior Manager | 28,377 |
48 | Company Invited | 3 | 10 | Small Business | Female | 3 | 4 | Super Deluxe | 3 | Married | 2 | 1 | 5 | 1 | 1 | AVP | 32,448 |
36 | Self Enquiry | 1 | 16 | Small Business | Male | 3 | 4 | Deluxe | 3 | Unmarried | 3 | 0 | 4 | 0 | 2 | Manager | 23,776 |
49 | Company Invited | 1 | 8 | Salaried | Male | 2 | 3 | King | 3 | Married | 4 | 0 | 3 | 1 | 0 | VP | 34,161 |
33 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 4 | Deluxe | 3 | Unmarried | 1 | 0 | 4 | 1 | 1 | Manager | 21,949 |
20 | Self Enquiry | 1 | 10 | Small Business | Female | 4 | 4 | Basic | 4 | Single | 3 | 0 | 3 | 1 | 3 | Executive | 20,161 |
30 | Self Enquiry | 3 | 7 | Small Business | Female | 3 | 5 | Basic | 3 | Married | 8 | 1 | 1 | 1 | 2 | Executive | 21,478 |
32 | Self Enquiry | 1 | 30 | Small Business | Male | 4 | 5 | Deluxe | 3 | Divorced | 2 | 0 | 3 | 1 | 2 | Manager | 24,260 |
58 | Self Enquiry | 1 | 8 | Salaried | Male | 2 | 3 | King | 4 | Single | 1 | 1 | 3 | 1 | 0 | VP | 34,246 |
29 | Company Invited | 1 | 9 | Salaried | Male | 3 | 5 | Basic | 3 | Divorced | 3 | 1 | 4 | 1 | 1 | Executive | 22,545 |
33 | Self Enquiry | 1 | 13 | Salaried | Male | 3 | 4 | Basic | 3 | Unmarried | 5 | 0 | 1 | 0 | 2 | Executive | 21,716 |
35 | Self Enquiry | 3 | 6 | Small Business | Male | 3 | 3 | Standard | 4 | Married | 2 | 0 | 4 | 0 | 0 | Senior Manager | 22,295 |
42 | Company Invited | 1 | 11 | Salaried | Male | 3 | 3 | Basic | 3 | Married | 5 | 0 | 3 | 0 | 1 | Executive | 17,093 |
42 | Self Enquiry | 1 | 29 | Salaried | Female | 2 | 3 | Super Deluxe | 3 | Single | 3 | 0 | 3 | 0 | 0 | AVP | 30,992 |
48 | Self Enquiry | 1 | 8 | Large Business | Male | 3 | 1 | Basic | 4 | Single | 6 | 0 | 2 | 0 | 2 | Executive | 17,559 |
27 | Self Enquiry | 3 | 14 | Small Business | Female | 2 | 3 | Deluxe | 4 | Divorced | 2 | 0 | 2 | 0 | 0 | Manager | 21,214 |
22 | Self Enquiry | 3 | 29 | Large Business | Male | 3 | 4 | Basic | 3 | Unmarried | 3 | 0 | 2 | 1 | 2 | Executive | 22,125 |
28 | Company Invited | 1 | 30 | Large Business | Male | 3 | 4 | Standard | 5 | Unmarried | 2 | 0 | 2 | 0 | 0 | Senior Manager | 23,722 |
38 | Self Enquiry | 1 | 21 | Salaried | Female | 4 | 4 | Basic | 5 | Married | 3 | 0 | 4 | 1 | 1 | Executive | 21,712 |
41 | Self Enquiry | 1 | 18 | Large Business | Female | 2 | 3 | King | 3 | Married | 2 | 0 | 4 | 1 | 1 | VP | 34,545 |
50 | Self Enquiry | 1 | 30 | Salaried | Male | 3 | 3 | Super Deluxe | 3 | Married | 4 | 1 | 4 | 1 | 2 | AVP | 28,973 |
35 | Self Enquiry | 3 | 7 | Small Business | Male | 4 | 2 | Deluxe | 3 | Married | 2 | 0 | 5 | 0 | 2 | Manager | 28,403 |
21 | Self Enquiry | 1 | 18 | Small Business | Female | 4 | 5 | Basic | 5 | Unmarried | 3 | 1 | 3 | 0 | 2 | Executive | 21,278 |
24 | Self Enquiry | 1 | 6 | Small Business | Male | 3 | 3 | Basic | 3 | Married | 3 | 1 | 3 | 0 | 2 | Executive | 17,293 |
49 | Self Enquiry | 1 | 13 | Salaried | Male | 2 | 4 | Standard | 3 | Unmarried | 1 | 0 | 1 | 1 | 0 | Senior Manager | 25,965 |
38 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 2 | Deluxe | 3 | Unmarried | 1 | 0 | 2 | 1 | 1 | Manager | 22,625 |
53 | Self Enquiry | 1 | 18 | Salaried | Female | 3 | 4 | Deluxe | 3 | Married | 2 | 0 | 1 | 1 | 1 | Manager | 21,827 |
35 | Self Enquiry | 1 | 9 | Small Business | Male | 4 | 2 | Basic | 3 | Married | 2 | 1 | 1 | 0 | 2 | Executive | 21,610 |
27 | Self Enquiry | 3 | 30 | Small Business | Female | 3 | 5 | Deluxe | 3 | Married | 2 | 1 | 1 | 0 | 1 | Manager | 22,835 |
35 | Self Enquiry | 1 | 15 | Salaried | Female | 3 | 4 | Standard | 3 | Divorced | 2 | 1 | 4 | 1 | 1 | Senior Manager | 25,685 |
28 | Company Invited | 1 | 15 | Salaried | Male | 3 | 6 | Basic | 3 | Divorced | 3 | 0 | 2 | 1 | 2 | Executive | 23,299 |
34 | Company Invited | 1 | 7 | Small Business | Male | 3 | 4 | Deluxe | 5 | Single | 1 | 0 | 1 | 0 | 0 | Manager | 20,343 |
54 | Self Enquiry | 3 | 7 | Small Business | Fe Male | 3 | 4 | Deluxe | 5 | Unmarried | 2 | 0 | 1 | 1 | 2 | Manager | 27,059 |
22 | Self Enquiry | 1 | 21 | Small Business | Female | 2 | 3 | Basic | 3 | Single | 2 | 0 | 1 | 1 | 1 | Executive | 17,871 |
39 | Company Invited | 1 | 10 | Salaried | Male | 3 | 4 | Basic | 3 | Divorced | 5 | 0 | 3 | 1 | 2 | Executive | 21,499 |
32 | Self Enquiry | 1 | 16 | Small Business | Male | 1 | 3 | Standard | 3 | Unmarried | 3 | 0 | 1 | 0 | 0 | Senior Manager | 26,244 |
32 | Self Enquiry | 1 | 14 | Small Business | Female | 3 | 1 | Deluxe | 3 | Divorced | 6 | 0 | 3 | 1 | 2 | Manager | 20,175 |
37 | Self Enquiry | 3 | 7 | Salaried | Fe Male | 4 | 4 | Deluxe | 3 | Unmarried | 8 | 0 | 1 | 1 | 2 | Manager | 25,493 |
37 | Self Enquiry | 3 | 9 | Salaried | Male | 4 | 4 | Basic | 3 | Unmarried | 5 | 1 | 3 | 0 | 1 | Executive | 21,322 |
36 | Self Enquiry | 1 | 8 | Small Business | Male | 3 | 3 | Basic | 3 | Single | 5 | 0 | 5 | 1 | 0 | Executive | 17,519 |
29 | Company Invited | 3 | 26 | Large Business | Female | 2 | 3 | Basic | 3 | Divorced | 2 | 0 | 3 | 0 | 1 | Executive | 17,157 |
37 | Self Enquiry | 3 | 12 | Small Business | Male | 3 | 3 | Deluxe | 3 | Married | 5 | 0 | 3 | 1 | 0 | Manager | 21,502 |
50 | Self Enquiry | 1 | 6 | Small Business | Male | 3 | 3 | Super Deluxe | 3 | Married | 1 | 0 | 5 | 0 | 2 | AVP | 32,399 |
59 | Self Enquiry | 3 | 6 | Large Business | Male | 3 | 3 | Standard | 3 | Divorced | 4 | 1 | 2 | 0 | 1 | Senior Manager | 26,904 |
39 | Self Enquiry | 2 | 9 | Salaried | Female | 2 | 2 | Deluxe | 4 | Divorced | 1 | 0 | 2 | 1 | 0 | Manager | 21,389 |
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