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shrikantpillay
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MLOPS

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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 9 new columns ({'MaritalStatus', 'Unnamed: 0', 'CustomerID', 'Occupation', 'ProductPitched', 'Gender', 'ProdTaken', 'Designation', 'TypeofContact'}) and 15 missing columns ({'Occupation_Small Business', 'TypeofContact_Self Enquiry', 'MaritalStatus_Single', 'Occupation_Large Business', 'Designation_Senior Manager', 'Gender_Male', 'Designation_VP', 'Gender_Female', 'Occupation_Salaried', 'ProductPitched_Deluxe', 'ProductPitched_Super Deluxe', 'ProductPitched_King', 'ProductPitched_Standard', 'Designation_Executive', 'Designation_Manager'}).

This happened while the csv dataset builder was generating data using

hf://datasets/shrikantpillay/MLOPS/tourism.csv (at revision dd93b6989af12e5281a5f1baf52f02033161357a), ['hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/Xtest.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/Xtrain.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/tourism.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/ytest.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/ytrain.csv']

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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              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, "' + 2899
              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_Self Enquiry': Value('int64'), 'Occupation_Large Business': Value('int64'), 'Occupation_Salaried': Value('int64'), 'Occupation_Small Business': Value('int64'), 'Gender_Female': Value('int64'), 'Gender_Male': Value('int64'), 'ProductPitched_Deluxe': Value('int64'), 'ProductPitched_King': Value('int64'), 'ProductPitched_Standard': Value('int64'), 'ProductPitched_Super Deluxe': Value('int64'), 'MaritalStatus_Single': Value('int64'), 'Designation_Executive': Value('int64'), 'Designation_Manager': Value('int64'), 'Designation_Senior Manager': Value('int64'), 'Designation_VP': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 9 new columns ({'MaritalStatus', 'Unnamed: 0', 'CustomerID', 'Occupation', 'ProductPitched', 'Gender', 'ProdTaken', 'Designation', 'TypeofContact'}) and 15 missing columns ({'Occupation_Small Business', 'TypeofContact_Self Enquiry', 'MaritalStatus_Single', 'Occupation_Large Business', 'Designation_Senior Manager', 'Gender_Male', 'Designation_VP', 'Gender_Female', 'Occupation_Salaried', 'ProductPitched_Deluxe', 'ProductPitched_Super Deluxe', 'ProductPitched_King', 'ProductPitched_Standard', 'Designation_Executive', 'Designation_Manager'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/shrikantpillay/MLOPS/tourism.csv (at revision dd93b6989af12e5281a5f1baf52f02033161357a), ['hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/Xtest.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/Xtrain.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/tourism.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/ytest.csv', 'hf://datasets/shrikantpillay/MLOPS@dd93b6989af12e5281a5f1baf52f02033161357a/ytrain.csv']
              
              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_Self Enquiry
int64
Occupation_Large Business
int64
Occupation_Salaried
int64
Occupation_Small Business
int64
Gender_Female
int64
Gender_Male
int64
ProductPitched_Deluxe
int64
ProductPitched_King
int64
ProductPitched_Standard
int64
ProductPitched_Super Deluxe
int64
MaritalStatus_Single
int64
Designation_Executive
int64
Designation_Manager
int64
Designation_Senior Manager
int64
Designation_VP
int64
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1
0
1
0
0
1
0
0
0
1
0
0
0
0
0
45
1
22
4
4
3
3
0
3
0
2
26,656
1
0
0
1
1
0
0
0
1
0
1
0
0
1
0
53
1
13
4
4
5
5
1
4
1
2
24,255
1
1
0
0
0
1
1
0
0
0
0
0
1
0
0
42
1
16
4
4
5
4
0
1
0
1
20,916
1
0
1
0
0
1
0
0
0
0
0
1
0
0
0
36
1
33
3
3
3
7
0
3
1
0
20,237
1
0
0
1
0
1
1
0
0
0
1
0
1
0
0
22
1
7
4
5
4
3
1
5
0
3
20,748
1
1
0
0
1
0
0
0
0
0
1
1
0
0
0
37
1
12
4
4
4
2
0
2
0
3
24,592
1
0
1
0
0
1
1
0
0
0
1
0
1
0
0
30
3
20
3
4
4
7
0
3
0
2
24,443
0
1
0
0
0
0
1
0
0
0
1
0
1
0
0
36
1
18
4
5
5
4
1
5
1
3
28,562
0
0
0
1
0
1
0
0
1
0
0
0
0
1
0
40
1
10
2
3
3
2
0
5
0
1
34,033
1
0
0
1
1
0
0
1
0
0
1
0
0
0
1
51
1
14
2
5
3
3
0
2
0
1
25,650
0
0
1
0
0
1
0
0
1
0
1
0
0
1
0
39
3
7
3
5
5
6
0
3
0
2
21,536
1
0
1
0
0
1
0
0
0
0
1
1
0
0
0
43
1
18
2
4
4
2
0
3
0
1
29,336
1
0
1
0
0
1
0
0
0
1
0
0
0
0
0
35
1
10
3
3
3
2
0
4
0
0
16,951
1
0
1
0
0
1
0
0
0
0
0
1
0
0
0
40
1
9
4
4
3
2
0
2
1
2
29,616
0
1
0
0
1
0
0
0
1
0
1
0
0
1
0
27
3
17
3
4
3
3
0
1
0
1
23,362
1
0
0
1
0
1
1
0
0
0
1
0
1
0
0
26
1
8
2
3
5
7
1
5
1
0
17,042
0
0
1
0
0
1
0
0
0
0
1
1
0
0
0
43
3
32
3
3
3
2
1
2
0
0
31,959
0
0
1
0
0
1
0
0
0
1
1
0
0
0
0
32
1
18
4
4
5
3
1
2
0
3
25,511
1
0
0
1
0
1
1
0
0
0
1
0
1
0
0
35
1
12
3
5
5
4
0
2
0
1
30,309
1
0
0
1
1
0
0
0
1
0
1
0
0
1
0
34
1
11
3
5
4
8
0
4
0
2
21,300
1
0
0
1
1
0
0
0
0
0
0
1
0
0
0
31
1
14
2
4
4
2
0
4
0
1
16,261
1
0
1
0
1
0
0
0
0
0
1
1
0
0
0
35
3
16
4
4
3
3
0
1
0
1
24,392
1
0
1
0
1
0
1
0
0
0
0
0
1
0
0
42
3
16
3
6
3
2
0
5
1
2
24,829
0
0
1
0
0
1
0
0
0
1
0
0
0
0
0
34
1
14
2
3
5
4
0
5
1
1
20,121
1
0
1
0
1
0
1
0
0
0
0
0
1
0
0
34
1
9
3
4
5
2
0
3
1
1
21,385
1
0
1
0
1
0
0
0
0
0
1
1
0
0
0
34
1
13
2
3
4
1
0
3
1
0
26,994
1
0
1
0
0
0
0
0
1
0
1
0
0
1
0
39
1
36
3
4
3
5
0
2
0
2
24,939
1
1
0
0
0
1
1
0
0
0
1
0
1
0
0
29
1
12
3
4
3
3
1
1
0
1
22,119
1
1
0
0
0
1
0
0
0
0
1
1
0
0
0
35
1
8
2
3
3
3
0
3
0
1
20,762
0
0
0
1
0
1
1
0
0
0
0
0
1
0
0
26
3
10
2
4
3
2
1
2
1
1
20,828
1
0
0
1
0
1
1
0
0
0
1
0
1
0
0
37
1
10
3
4
3
7
0
2
1
1
21,513
1
0
1
0
1
0
0
0
0
0
0
1
0
0
0
35
1
16
4
4
5
6
0
3
0
2
24,024
0
0
1
0
0
1
1
0
0
0
0
0
1
0
0
40
1
9
3
4
3
2
0
3
1
1
30,847
0
0
1
0
0
1
0
0
0
1
0
0
0
0
0
33
3
11
2
3
3
2
1
2
1
0
17,851
1
0
0
1
1
0
0
0
0
0
1
1
0
0
0
38
3
15
3
4
4
1
0
4
0
0
17,899
1
0
0
1
0
1
0
0
0
0
1
1
0
0
0
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