Hugging Face's logo

Datasets:
ShrutiHulyal
/
WellnessPackagePrediction

Dataset card Data Studio Files
xet
Community
Dataset Preview
Duplicate
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/ShrutiHulyal/WellnessPackagePrediction/tourism.csv (at revision 7290a8a39d1062fbf1da30d81b9f939a7d492163), [/tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtest.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtrain.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism_downloaded.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism_downloaded.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/ytest.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/ytrain.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
              CustomerID: int64
              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, "' + 2736
              to
              {'CustomerID': Value('int64'), 'Age': Value('int64'), 'TypeofContact': Value('int64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('int64'), 'Occupation': Value('int64'), 'Gender': Value('int64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('int64'), 'ProductPitched': Value('int64'), 'PreferredPropertyStar': Value('int64'), 'MaritalStatus': Value('int64'), 'NumberOfTrips': Value('int64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('int64'), 'Designation': Value('int64'), 'MonthlyIncome': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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/ShrutiHulyal/WellnessPackagePrediction/tourism.csv (at revision 7290a8a39d1062fbf1da30d81b9f939a7d492163), [/tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtest.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtrain.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism_downloaded.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/tourism_downloaded.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/ytest.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/15760162478996-config-parquet-and-info-ShrutiHulyal-WellnessPack-ee1bbe13/hub/datasets--ShrutiHulyal--WellnessPackagePrediction/snapshots/7290a8a39d1062fbf1da30d81b9f939a7d492163/ytrain.csv (origin=hf://datasets/ShrutiHulyal/WellnessPackagePrediction@7290a8a39d1062fbf1da30d81b9f939a7d492163/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.

CustomerID
int64
Age
int64
TypeofContact
int64
CityTier
int64
DurationOfPitch
int64
Occupation
int64
Gender
int64
NumberOfPersonVisiting
int64
NumberOfFollowups
int64
ProductPitched
int64
PreferredPropertyStar
int64
MaritalStatus
int64
NumberOfTrips
int64
Passport
int64
PitchSatisfactionScore
int64
OwnCar
int64
NumberOfChildrenVisiting
int64
Designation
int64
MonthlyIncome
int64
201,214
44
1
1
8
2
1
3
1
3
3
1
2
1
4
1
0
3
22,879
203,829
35
1
3
20
3
2
3
4
3
3
1
3
0
1
1
2
3
27,306
202,622
47
1
3
7
3
1
4
4
3
5
1
3
0
2
1
2
3
29,131
201,543
32
1
1
6
2
2
3
3
1
4
1
2
0
3
1
0
2
21,220
203,144
59
1
1
9
1
2
3
4
0
3
2
6
0
2
1
2
1
21,157
200,907
44
1
3
11
3
2
2
3
2
4
0
1
0
5
1
1
4
33,213
201,426
32
1
1
35
2
1
2
4
0
4
2
2
0
3
1
0
1
17,837
204,269
27
1
3
7
2
2
3
4
1
3
1
3
0
5
0
2
2
23,974
200,261
38
0
3
8
2
2
2
4
1
3
0
4
0
5
1
1
2
20,249
204,223
32
1
1
12
1
2
3
4
0
3
1
2
1
4
1
1
1
23,499
200,243
40
1
1
30
1
2
3
3
1
3
1
2
0
3
1
1
2
18,319
203,533
38
1
1
20
3
2
3
4
1
3
1
3
0
1
0
1
2
22,963
200,228
35
0
3
6
3
0
3
3
3
3
3
2
0
5
1
0
3
23,789
201,110
35
1
1
8
2
1
3
3
0
5
1
2
1
1
1
1
1
17,074
204,350
34
1
1
17
3
2
3
6
0
3
1
2
0
5
0
1
1
22,086
203,870
33
1
1
36
2
1
3
5
0
4
3
3
0
3
1
1
1
21,515
200,087
51
1
1
15
2
2
3
3
0
3
0
4
0
3
1
0
1
17,075
201,365
29
0
3
30
1
2
2
1
0
5
2
2
0
3
1
1
1
16,091
200,378
34
0
3
25
3
2
3
2
1
3
2
1
1
2
1
2
2
20,304
202,522
38
1
1
14
3
2
2
4
3
3
2
6
0
2
0
1
3
32,342
200,209
46
1
1
6
3
2
3
3
3
5
1
1
0
2
0
0
3
24,396
200,510
54
1
2
25
3
2
2
3
3
4
0
3
0
3
1
0
3
25,725
202,022
56
1
1
15
3
2
2
3
4
3
1
1
0
4
0
0
0
26,103
200,385
30
0
1
10
1
2
2
3
0
3
2
19
1
4
1
1
1
17,285
201,386
26
1
1
6
3
2
3
3
0
5
2
1
0
5
1
2
1
17,867
202,060
33
1
1
13
3
2
2
3
3
3
1
1
0
4
1
0
3
26,691
201,946
24
1
1
23
2
2
3
4
0
4
1
2
0
3
1
1
1
17,127
203,768
30
1
1
36
2
2
4
6
1
3
1
2
0
5
1
3
2
25,062
201,253
33
0
3
8
3
1
3
3
1
4
2
1
0
1
0
0
2
20,147
202,230
53
0
3
8
3
1
2
4
3
4
1
3
0
1
1
0
3
22,525
203,514
29
0
3
14
2
2
3
4
1
5
3
2
0
3
1
2
2
23,576
201,372
39
1
1
15
3
2
2
3
1
5
1
2
0
4
1
0
2
20,151
204,366
46
1
3
9
2
2
4
4
1
4
1
2
0
5
1
3
2
23,483
202,466
35
1
1
14
2
1
3
4
3
4
2
2
0
3
1
1
3
30,672
204,073
35
0
3
9
3
1
4
4
0
3
1
8
0
5
0
1
1
20,909
204,596
33
0
1
7
2
1
4
5
0
4
1
8
0
3
0
3
1
21,010
202,373
29
0
1
16
2
1
2
4
0
3
3
2
0
4
1
0
1
21,623
201,916
41
0
3
16
2
2
2
3
1
3
2
1
0
1
0
1
2
21,230
203,268
43
1
1
36
3
2
3
6
1
3
3
6
0
3
1
1
2
22,950
204,329
35
0
3
13
3
1
3
6
0
3
1
2
0
4
0
2
1
21,029
201,685
41
1
3
12
2
1
3
3
3
3
2
4
1
1
0
0
3
28,591
200,694
33
1
1
6
2
1
2
4
1
3
3
1
0
4
0
0
2
21,949
200,837
40
0
1
15
3
0
2
3
3
3
3
1
0
4
0
0
3
28,499
201,852
26
0
1
9
1
2
3
3
0
5
2
1
0
3
0
1
1
18,102
201,712
41
1
1
25
2
2
2
3
1
5
1
3
0
1
0
0
2
18,072
200,222
37
0
1
17
2
2
2
3
3
3
1
2
1
3
0
1
3
27,185
202,145
31
1
3
13
2
2
2
4
0
3
1
4
0
4
1
1
1
17,329
204,867
45
1
3
8
2
2
3
6
1
4
2
8
0
3
0
2
2
21,040
200,514
33
0
1
9
2
2
3
3
0
5
2
2
1
5
1
2
1
18,348
202,795
33
1
1
9
3
1
4
4
0
4
0
3
0
4
0
1
1
21,048
201,074
33
1
1
14
2
2
3
3
1
3
3
3
1
3
0
2
2
21,388
200,402
30
1
3
18
1
1
2
3
1
3
3
1
0
2
1
0
2
21,577
200,547
42
0
1
25
3
2
2
2
0
3
1
7
1
3
1
1
1
17,759
201,899
46
1
1
8
2
2
2
3
4
3
1
7
0
5
1
0
0
32,861
204,656
51
1
1
16
2
2
4
4
0
3
1
6
0
5
1
3
1
21,058
201,880
30
1
1
8
2
1
2
5
1
3
2
3
0
1
1
0
2
21,091
202,742
37
0
1
25
2
2
3
3
0
3
0
6
0
5
0
1
1
22,366
201,323
28
0
2
6
2
2
2
3
0
3
1
2
0
4
0
1
1
17,706
201,357
42
1
1
12
3
2
2
3
3
5
1
1
0
3
1
0
3
28,348
200,617
44
1
1
10
3
2
2
3
1
4
2
1
0
2
1
0
2
20,933
203,637
39
0
1
9
3
1
3
5
0
4
2
3
0
1
1
1
1
21,118
200,253
42
1
1
23
2
1
2
2
1
5
3
4
1
2
0
0
2
21,545
202,223
39
0
1
28
3
0
2
3
3
5
3
2
1
5
1
1
3
25,880
200,944
28
0
1
6
2
1
2
5
1
3
0
1
0
3
1
0
2
21,674
202,079
43
1
1
20
2
2
3
3
4
5
1
7
0
5
1
1
0
32,159
203,372
45
1
1
22
3
1
4
4
3
3
0
3
0
3
0
2
3
26,656
204,382
53
1
1
13
1
2
4
4
1
5
1
5
1
4
1
2
2
24,255
204,062
42
1
1
16
2
2
4
4
0
5
1
4
0
1
0
1
1
20,916
200,009
36
1
1
33
3
2
3
3
1
3
0
7
0
3
1
0
2
20,237
203,259
22
1
1
7
1
1
4
5
0
4
2
3
1
5
0
3
1
20,748
202,664
37
1
1
12
2
2
4
4
1
4
3
2
0
2
0
3
2
24,592
203,501
30
0
3
20
1
0
3
4
1
4
3
7
0
3
0
2
2
24,443
203,967
36
0
1
18
3
2
4
5
3
5
1
4
1
5
1
3
3
28,562
200,186
40
1
1
10
3
1
2
3
2
3
0
2
0
5
0
1
4
34,033
200,136
51
0
1
14
2
2
2
5
3
3
3
3
0
2
0
1
3
25,650
203,835
39
1
3
7
2
2
3
5
0
5
3
6
0
3
0
2
1
21,536
200,390
43
1
1
18
2
2
2
4
4
4
1
2
0
3
0
1
0
29,336
200,040
35
1
1
10
2
2
3
3
0
3
1
2
0
4
0
0
1
16,951
202,695
40
0
1
9
1
1
4
4
3
3
2
2
0
2
1
2
3
29,616
203,753
27
1
3
17
3
2
3
4
1
3
3
3
0
1
0
1
2
23,362
200,762
26
0
1
8
2
2
2
3
0
5
0
7
1
5
1
0
1
17,042
200,119
43
0
3
32
2
2
3
3
4
3
0
2
1
2
0
0
0
31,959
203,339
32
1
1
18
3
2
4
4
1
5
0
3
1
2
0
3
2
25,511
202,560
35
1
1
12
3
1
3
5
3
5
2
4
0
2
0
1
3
30,309
204,135
34
1
1
11
3
1
3
5
0
4
1
8
0
4
0
2
1
21,300
201,016
31
1
1
14
2
1
2
4
0
4
2
2
0
4
0
1
1
16,261
204,748
35
1
3
16
2
1
4
4
1
3
1
3
0
1
0
1
2
24,392
204,865
42
0
3
16
2
2
3
6
4
3
1
2
0
5
1
2
0
24,829
202,030
34
1
1
14
2
1
2
3
1
5
1
4
0
5
1
1
2
20,121
202,680
34
1
1
9
2
1
3
4
0
5
0
2
0
3
1
1
1
21,385
200,022
34
1
1
13
2
0
2
3
3
4
3
1
0
3
1
0
3
26,994
202,643
39
1
1
36
1
2
3
4
1
3
0
5
0
2
0
2
2
24,939
203,965
29
1
1
12
1
2
3
4
0
3
3
3
1
1
0
1
1
22,119
201,288
35
0
1
8
3
2
2
3
1
3
1
3
0
3
0
1
2
20,762
200,293
26
1
3
10
3
2
2
4
1
3
2
2
1
2
1
1
2
20,828
202,562
37
1
1
10
2
1
3
4
0
3
1
7
0
2
1
1
1
21,513
203,734
35
0
1
16
2
2
4
4
1
5
1
6
0
3
0
2
2
24,024
204,727
40
0
1
9
2
2
3
4
4
3
1
2
0
3
1
1
0
30,847
200,363
33
1
3
11
3
1
2
3
0
3
2
2
1
2
1
0
1
17,851
200,642
38
1
3
15
3
2
3
4
0
4
0
1
0
4
0
0
1
17,899
End of preview.

No dataset card yet

Downloads last month
17