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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 3 new columns ({'ProdTaken', 'Unnamed: 0', 'CustomerID'})
This happened while the csv dataset builder was generating data using
hf://datasets/sahilsingla/toursim-purchase-prediction/tourism.csv (at revision 75a79a1e2289c3bc63a652825e2ff0bb09befefa)
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
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
{'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 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 3 new columns ({'ProdTaken', 'Unnamed: 0', 'CustomerID'})
This happened while the csv dataset builder was generating data using
hf://datasets/sahilsingla/toursim-purchase-prediction/tourism.csv (at revision 75a79a1e2289c3bc63a652825e2ff0bb09befefa)
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
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33 | 0 | 3 | 15 | 3 | 0 | 3 | 4 | 3 | 3 | 3 | 3 | 0 | 4 | 1 | 2 | 3 | 27,676 |
42 | 0 | 3 | 7 | 3 | 1 | 4 | 4 | 1 | 5 | 1 | 2 | 0 | 3 | 0 | 2 | 2 | 22,781 |
59 | 0 | 2 | 8 | 2 | 1 | 2 | 4 | 2 | 3 | 0 | 1 | 0 | 2 | 1 | 1 | 4 | 32,126 |
26 | 1 | 3 | 11 | 3 | 2 | 3 | 5 | 1 | 5 | 1 | 3 | 0 | 3 | 1 | 2 | 2 | 22,934 |
51 | 0 | 3 | 7 | 2 | 2 | 4 | 4 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 2 | 25,406 |
47 | 0 | 3 | 15 | 2 | 2 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 5 | 1 | 1 | 0 | 27,936 |
39 | 0 | 3 | 27 | 2 | 1 | 2 | 5 | 1 | 3 | 1 | 7 | 0 | 5 | 0 | 0 | 2 | 20,736 |
31 | 0 | 1 | 26 | 2 | 2 | 3 | 3 | 3 | 3 | 0 | 4 | 0 | 3 | 1 | 0 | 3 | 24,824 |
58 | 0 | 1 | 6 | 2 | 2 | 2 | 5 | 1 | 3 | 1 | 3 | 1 | 2 | 1 | 1 | 2 | 20,660 |
43 | 1 | 3 | 10 | 3 | 0 | 2 | 4 | 3 | 3 | 3 | 4 | 0 | 3 | 1 | 0 | 3 | 25,231 |
49 | 1 | 1 | 7 | 2 | 2 | 4 | 5 | 3 | 3 | 3 | 2 | 1 | 5 | 0 | 3 | 3 | 24,059 |
28 | 0 | 3 | 27 | 2 | 0 | 3 | 4 | 1 | 3 | 2 | 3 | 0 | 2 | 1 | 2 | 2 | 28,659 |
30 | 1 | 3 | 10 | 3 | 1 | 3 | 4 | 1 | 4 | 1 | 2 | 1 | 3 | 1 | 1 | 2 | 20,209 |
26 | 0 | 1 | 12 | 2 | 2 | 3 | 1 | 0 | 3 | 1 | 1 | 0 | 4 | 1 | 1 | 1 | 17,544 |
37 | 0 | 1 | 17 | 2 | 2 | 2 | 3 | 3 | 3 | 1 | 2 | 1 | 3 | 0 | 1 | 3 | 27,185 |
38 | 0 | 2 | 6 | 2 | 2 | 2 | 3 | 0 | 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 17,991 |
34 | 0 | 1 | 22 | 2 | 1 | 3 | 4 | 0 | 3 | 2 | 2 | 0 | 5 | 1 | 1 | 1 | 17,553 |
47 | 1 | 1 | 8 | 2 | 1 | 2 | 3 | 4 | 3 | 0 | 2 | 1 | 4 | 1 | 0 | 0 | 31,752 |
44 | 0 | 1 | 11 | 2 | 2 | 2 | 4 | 0 | 3 | 2 | 4 | 0 | 1 | 0 | 1 | 1 | 18,162 |
39 | 1 | 1 | 13 | 2 | 1 | 3 | 5 | 0 | 3 | 1 | 3 | 0 | 3 | 0 | 2 | 1 | 22,380 |
31 | 1 | 3 | 11 | 2 | 1 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 1 | 0 | 2 | 2 | 20,476 |
31 | 0 | 3 | 26 | 2 | 2 | 3 | 1 | 0 | 3 | 1 | 1 | 0 | 5 | 1 | 0 | 1 | 17,791 |
32 | 1 | 1 | 16 | 2 | 2 | 3 | 4 | 3 | 4 | 1 | 3 | 0 | 3 | 1 | 2 | 3 | 29,326 |
39 | 0 | 1 | 19 | 2 | 2 | 2 | 5 | 1 | 5 | 1 | 4 | 0 | 5 | 1 | 1 | 2 | 24,966 |
45 | 1 | 1 | 6 | 3 | 1 | 3 | 3 | 0 | 3 | 1 | 4 | 0 | 5 | 1 | 0 | 1 | 17,270 |
40 | 1 | 3 | 12 | 1 | 2 | 3 | 4 | 1 | 3 | 0 | 5 | 0 | 2 | 0 | 2 | 2 | 20,764 |
40 | 1 | 1 | 26 | 1 | 2 | 3 | 3 | 3 | 3 | 0 | 5 | 0 | 3 | 1 | 1 | 3 | 25,322 |
38 | 1 | 3 | 7 | 2 | 2 | 3 | 5 | 3 | 3 | 1 | 7 | 0 | 1 | 1 | 2 | 3 | 29,287 |
39 | 1 | 1 | 12 | 3 | 2 | 3 | 3 | 0 | 5 | 0 | 1 | 1 | 2 | 1 | 1 | 1 | 17,404 |
44 | 1 | 2 | 6 | 3 | 2 | 3 | 4 | 3 | 5 | 1 | 1 | 0 | 4 | 1 | 0 | 3 | 25,482 |
28 | 0 | 1 | 8 | 3 | 2 | 2 | 4 | 0 | 5 | 2 | 1 | 0 | 4 | 0 | 0 | 1 | 17,561 |
52 | 1 | 1 | 18 | 1 | 1 | 3 | 5 | 4 | 4 | 2 | 5 | 0 | 1 | 0 | 2 | 0 | 31,820 |
57 | 1 | 1 | 14 | 2 | 2 | 3 | 6 | 3 | 3 | 3 | 6 | 0 | 2 | 0 | 1 | 3 | 25,938 |
52 | 1 | 3 | 11 | 2 | 2 | 3 | 3 | 3 | 4 | 3 | 1 | 1 | 4 | 1 | 1 | 3 | 23,446 |
38 | 1 | 1 | 17 | 2 | 2 | 3 | 4 | 1 | 4 | 3 | 4 | 1 | 5 | 0 | 2 | 2 | 22,875 |
37 | 1 | 1 | 10 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 7 | 0 | 2 | 1 | 1 | 1 | 21,513 |
33 | 1 | 1 | 15 | 3 | 2 | 2 | 3 | 0 | 3 | 0 | 1 | 0 | 2 | 1 | 0 | 1 | 17,781 |
45 | 1 | 1 | 8 | 2 | 1 | 3 | 4 | 0 | 3 | 2 | 2 | 0 | 3 | 1 | 0 | 1 | 17,274 |
32 | 1 | 1 | 19 | 3 | 1 | 4 | 4 | 0 | 3 | 1 | 2 | 1 | 4 | 1 | 2 | 1 | 22,607 |
33 | 1 | 1 | 8 | 2 | 1 | 2 | 3 | 0 | 5 | 0 | 1 | 0 | 3 | 1 | 0 | 1 | 17,707 |
30 | 1 | 1 | 14 | 2 | 1 | 3 | 1 | 3 | 5 | 0 | 1 | 1 | 2 | 0 | 2 | 3 | 26,416 |
33 | 0 | 1 | 14 | 2 | 2 | 4 | 3 | 0 | 4 | 0 | 3 | 0 | 2 | 0 | 2 | 1 | 21,472 |
37 | 0 | 3 | 18 | 1 | 1 | 4 | 4 | 3 | 3 | 1 | 2 | 0 | 5 | 0 | 3 | 3 | 28,416 |
31 | 1 | 1 | 29 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 6 | 1 | 1 | 0 | 1 | 1 | 20,810 |
58 | 0 | 1 | 6 | 2 | 2 | 2 | 5 | 1 | 3 | 1 | 3 | 1 | 1 | 1 | 1 | 2 | 20,660 |
46 | 1 | 1 | 9 | 2 | 1 | 4 | 5 | 0 | 3 | 2 | 3 | 0 | 3 | 1 | 1 | 1 | 20,952 |
44 | 1 | 1 | 14 | 2 | 1 | 3 | 4 | 3 | 5 | 0 | 2 | 0 | 5 | 1 | 1 | 3 | 28,663 |
42 | 1 | 2 | 16 | 2 | 1 | 2 | 3 | 4 | 5 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 31,799 |
43 | 0 | 1 | 13 | 3 | 2 | 2 | 1 | 0 | 3 | 1 | 5 | 0 | 4 | 1 | 0 | 1 | 17,089 |
38 | 0 | 1 | 18 | 2 | 2 | 3 | 4 | 3 | 3 | 1 | 3 | 1 | 3 | 1 | 2 | 3 | 30,863 |
28 | 1 | 1 | 11 | 2 | 2 | 4 | 4 | 0 | 3 | 1 | 3 | 0 | 4 | 1 | 2 | 1 | 21,195 |
37 | 1 | 3 | 23 | 3 | 1 | 4 | 5 | 1 | 5 | 0 | 6 | 0 | 5 | 1 | 1 | 2 | 24,325 |
34 | 0 | 1 | 36 | 3 | 1 | 3 | 5 | 1 | 3 | 3 | 3 | 0 | 5 | 1 | 1 | 2 | 23,186 |
35 | 1 | 1 | 17 | 3 | 2 | 3 | 4 | 1 | 5 | 3 | 3 | 0 | 4 | 0 | 1 | 2 | 24,803 |
52 | 1 | 1 | 6 | 2 | 2 | 3 | 3 | 4 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 0 | 32,099 |
35 | 1 | 1 | 14 | 2 | 1 | 3 | 4 | 3 | 4 | 2 | 2 | 0 | 5 | 0 | 1 | 3 | 30,672 |
57 | 1 | 1 | 30 | 2 | 2 | 2 | 2 | 3 | 3 | 1 | 4 | 1 | 4 | 1 | 1 | 3 | 24,439 |
37 | 1 | 3 | 10 | 3 | 1 | 4 | 5 | 3 | 3 | 1 | 2 | 0 | 3 | 1 | 1 | 3 | 26,322 |
46 | 1 | 1 | 14 | 2 | 2 | 3 | 4 | 3 | 5 | 1 | 4 | 0 | 3 | 1 | 2 | 3 | 28,402 |
36 | 1 | 1 | 12 | 2 | 2 | 2 | 3 | 0 | 3 | 0 | 1 | 0 | 5 | 1 | 1 | 1 | 18,210 |
50 | 1 | 1 | 30 | 2 | 2 | 3 | 3 | 4 | 3 | 1 | 4 | 1 | 4 | 1 | 2 | 0 | 28,973 |
34 | 1 | 3 | 15 | 2 | 1 | 3 | 3 | 1 | 3 | 0 | 2 | 0 | 2 | 1 | 2 | 2 | 20,714 |
52 | 1 | 3 | 34 | 2 | 2 | 3 | 4 | 1 | 3 | 2 | 3 | 1 | 5 | 1 | 2 | 2 | 32,126 |
32 | 1 | 3 | 9 | 2 | 2 | 4 | 4 | 1 | 3 | 3 | 6 | 1 | 5 | 1 | 2 | 2 | 25,260 |
34 | 0 | 3 | 14 | 2 | 1 | 2 | 4 | 1 | 4 | 0 | 2 | 0 | 4 | 1 | 1 | 2 | 22,980 |
41 | 1 | 3 | 7 | 3 | 2 | 3 | 6 | 1 | 3 | 0 | 4 | 1 | 3 | 1 | 1 | 2 | 26,135 |
42 | 1 | 1 | 6 | 2 | 1 | 3 | 3 | 0 | 5 | 1 | 4 | 0 | 3 | 1 | 1 | 1 | 17,576 |
28 | 1 | 1 | 15 | 3 | 1 | 3 | 3 | 0 | 3 | 1 | 6 | 0 | 3 | 1 | 1 | 1 | 17,377 |
48 | 0 | 1 | 6 | 3 | 2 | 2 | 1 | 4 | 3 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 31,885 |
53 | 1 | 3 | 6 | 3 | 1 | 2 | 3 | 1 | 5 | 3 | 1 | 0 | 2 | 1 | 1 | 2 | 23,381 |
34 | 0 | 1 | 10 | 2 | 1 | 3 | 4 | 0 | 3 | 1 | 3 | 1 | 1 | 1 | 2 | 1 | 21,587 |
32 | 1 | 1 | 11 | 2 | 1 | 3 | 4 | 1 | 4 | 1 | 4 | 0 | 3 | 1 | 0 | 2 | 20,878 |
32 | 1 | 3 | 13 | 2 | 2 | 3 | 4 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 0 | 2 | 20,484 |
29 | 1 | 1 | 16 | 3 | 1 | 4 | 4 | 0 | 3 | 1 | 7 | 0 | 3 | 1 | 2 | 1 | 21,055 |
36 | 1 | 3 | 23 | 3 | 2 | 4 | 4 | 3 | 4 | 1 | 2 | 0 | 1 | 1 | 2 | 3 | 26,698 |
33 | 1 | 1 | 8 | 3 | 2 | 3 | 3 | 0 | 3 | 2 | 5 | 0 | 3 | 1 | 2 | 1 | 17,496 |
39 | 1 | 1 | 16 | 3 | 2 | 3 | 3 | 4 | 5 | 1 | 2 | 1 | 3 | 1 | 2 | 0 | 32,068 |
35 | 1 | 1 | 13 | 3 | 2 | 3 | 4 | 0 | 5 | 3 | 4 | 0 | 4 | 0 | 1 | 1 | 21,638 |
51 | 0 | 1 | 14 | 2 | 2 | 2 | 5 | 3 | 3 | 3 | 3 | 0 | 2 | 0 | 1 | 3 | 25,650 |
46 | 1 | 3 | 16 | 3 | 1 | 3 | 4 | 3 | 3 | 1 | 3 | 1 | 1 | 0 | 0 | 3 | 24,071 |
30 | 1 | 2 | 6 | 2 | 2 | 2 | 3 | 0 | 3 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 17,064 |
52 | 1 | 1 | 13 | 2 | 2 | 2 | 3 | 3 | 4 | 3 | 1 | 0 | 3 | 1 | 1 | 3 | 25,445 |
31 | 1 | 3 | 12 | 3 | 2 | 3 | 2 | 1 | 3 | 1 | 5 | 0 | 5 | 1 | 2 | 2 | 20,460 |
29 | 1 | 1 | 21 | 2 | 1 | 3 | 5 | 0 | 3 | 0 | 1 | 1 | 5 | 1 | 0 | 1 | 17,168 |
55 | 1 | 1 | 8 | 2 | 1 | 3 | 3 | 4 | 3 | 2 | 3 | 1 | 5 | 0 | 1 | 0 | 31,659 |
55 | 1 | 1 | 24 | 1 | 1 | 3 | 4 | 3 | 3 | 1 | 2 | 0 | 5 | 0 | 1 | 3 | 29,417 |
55 | 0 | 1 | 8 | 3 | 2 | 2 | 4 | 4 | 5 | 2 | 1 | 0 | 3 | 1 | 1 | 0 | 31,756 |
21 | 1 | 1 | 21 | 2 | 2 | 3 | 3 | 0 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 1 | 16,232 |
37 | 0 | 1 | 25 | 2 | 2 | 4 | 4 | 1 | 3 | 3 | 4 | 0 | 3 | 0 | 2 | 2 | 26,457 |
43 | 1 | 1 | 8 | 3 | 1 | 3 | 1 | 0 | 3 | 1 | 2 | 0 | 1 | 1 | 2 | 1 | 17,645 |
30 | 1 | 1 | 28 | 2 | 1 | 3 | 2 | 3 | 5 | 1 | 3 | 0 | 5 | 1 | 2 | 3 | 28,658 |
37 | 1 | 1 | 9 | 3 | 2 | 4 | 4 | 0 | 3 | 2 | 6 | 0 | 5 | 1 | 2 | 1 | 21,197 |
40 | 0 | 1 | 6 | 2 | 2 | 3 | 4 | 4 | 4 | 1 | 2 | 0 | 1 | 1 | 1 | 0 | 28,503 |
29 | 1 | 1 | 15 | 2 | 1 | 4 | 4 | 0 | 3 | 3 | 3 | 0 | 4 | 1 | 2 | 1 | 21,988 |
27 | 1 | 1 | 23 | 2 | 1 | 2 | 3 | 0 | 3 | 2 | 2 | 1 | 5 | 1 | 0 | 1 | 17,394 |
36 | 0 | 1 | 15 | 2 | 1 | 3 | 4 | 1 | 3 | 1 | 3 | 0 | 5 | 1 | 2 | 2 | 22,826 |
46 | 0 | 1 | 11 | 2 | 2 | 3 | 4 | 1 | 4 | 0 | 3 | 0 | 4 | 1 | 2 | 2 | 23,125 |
30 | 1 | 1 | 35 | 3 | 1 | 4 | 5 | 0 | 5 | 3 | 3 | 0 | 1 | 0 | 2 | 1 | 22,463 |
29 | 1 | 3 | 6 | 3 | 1 | 2 | 4 | 0 | 3 | 1 | 7 | 1 | 2 | 0 | 1 | 1 | 17,800 |
29 | 1 | 1 | 6 | 2 | 1 | 2 | 4 | 0 | 5 | 1 | 2 | 1 | 1 | 0 | 0 | 1 | 17,319 |
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