Hugging Face's logo

Datasets:
SarojRauth
/
Tourism_Package_Prediction

Dataset card Data Studio Files
xet
Community
Dataset Preview
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 3 new columns ({'Unnamed: 0', 'ProdTaken', 'CustomerID'})

This happened while the csv dataset builder was generating data using

hf://datasets/SarojRauth/Tourism_Package_Prediction/tourism.csv (at revision 6b4f042c9b96722b2ff3911d7b00c11373c54cf1)

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 ({'Unnamed: 0', 'ProdTaken', 'CustomerID'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/SarojRauth/Tourism_Package_Prediction/tourism.csv (at revision 6b4f042c9b96722b2ff3911d7b00c11373c54cf1)
              
              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
44
1
1
8
2
1
3
1
3
3
1
2
1
4
1
0
3
22,879
35
1
3
20
3
2
3
4
3
3
1
3
0
1
1
2
3
27,306
47
1
3
7
3
1
4
4
3
5
1
3
0
2
1
2
3
29,131
32
1
1
6
2
2
3
3
1
4
1
2
0
3
1
0
2
21,220
59
1
1
9
1
2
3
4
0
3
2
6
0
2
1
2
1
21,157
44
1
3
11
3
2
2
3
2
4
0
1
0
5
1
1
4
33,213
32
1
1
35
2
1
2
4
0
4
2
2
0
3
1
0
1
17,837
27
1
3
7
2
2
3
4
1
3
1
3
0
5
0
2
2
23,974
38
0
3
8
2
2
2
4
1
3
0
4
0
5
1
1
2
20,249
32
1
1
12
1
2
3
4
0
3
1
2
1
4
1
1
1
23,499
40
1
1
30
1
2
3
3
1
3
1
2
0
3
1
1
2
18,319
38
1
1
20
3
2
3
4
1
3
1
3
0
1
0
1
2
22,963
35
0
3
6
3
0
3
3
3
3
3
2
0
5
1
0
3
23,789
35
1
1
8
2
1
3
3
0
5
1
2
1
1
1
1
1
17,074
34
1
1
17
3
2
3
6
0
3
1
2
0
5
0
1
1
22,086
33
1
1
36
2
1
3
5
0
4
3
3
0
3
1
1
1
21,515
51
1
1
15
2
2
3
3
0
3
0
4
0
3
1
0
1
17,075
29
0
3
30
1
2
2
1
0
5
2
2
0
3
1
1
1
16,091
34
0
3
25
3
2
3
2
1
3
2
1
1
2
1
2
2
20,304
38
1
1
14
3
2
2
4
3
3
2
6
0
2
0
1
3
32,342
46
1
1
6
3
2
3
3
3
5
1
1
0
2
0
0
3
24,396
54
1
2
25
3
2
2
3
3
4
0
3
0
3
1
0
3
25,725
56
1
1
15
3
2
2
3
4
3
1
1
0
4
0
0
0
26,103
30
0
1
10
1
2
2
3
0
3
2
19
1
4
1
1
1
17,285
26
1
1
6
3
2
3
3
0
5
2
1
0
5
1
2
1
17,867
33
1
1
13
3
2
2
3
3
3
1
1
0
4
1
0
3
26,691
24
1
1
23
2
2
3
4
0
4
1
2
0
3
1
1
1
17,127
30
1
1
36
2
2
4
6
1
3
1
2
0
5
1
3
2
25,062
33
0
3
8
3
1
3
3
1
4
2
1
0
1
0
0
2
20,147
53
0
3
8
3
1
2
4
3
4
1
3
0
1
1
0
3
22,525
29
0
3
14
2
2
3
4
1
5
3
2
0
3
1
2
2
23,576
39
1
1
15
3
2
2
3
1
5
1
2
0
4
1
0
2
20,151
46
1
3
9
2
2
4
4
1
4
1
2
0
5
1
3
2
23,483
35
1
1
14
2
1
3
4
3
4
2
2
0
3
1
1
3
30,672
35
0
3
9
3
1
4
4
0
3
1
8
0
5
0
1
1
20,909
33
0
1
7
2
1
4
5
0
4
1
8
0
3
0
3
1
21,010
29
0
1
16
2
1
2
4
0
3
3
2
0
4
1
0
1
21,623
41
0
3
16
2
2
2
3
1
3
2
1
0
1
0
1
2
21,230
43
1
1
36
3
2
3
6
1
3
3
6
0
3
1
1
2
22,950
35
0
3
13
3
1
3
6
0
3
1
2
0
4
0
2
1
21,029
41
1
3
12
2
1
3
3
3
3
2
4
1
1
0
0
3
28,591
33
1
1
6
2
1
2
4
1
3
3
1
0
4
0
0
2
21,949
40
0
1
15
3
0
2
3
3
3
3
1
0
4
0
0
3
28,499
26
0
1
9
1
2
3
3
0
5
2
1
0
3
0
1
1
18,102
41
1
1
25
2
2
2
3
1
5
1
3
0
1
0
0
2
18,072
37
0
1
17
2
2
2
3
3
3
1
2
1
3
0
1
3
27,185
31
1
3
13
2
2
2
4
0
3
1
4
0
4
1
1
1
17,329
45
1
3
8
2
2
3
6
1
4
2
8
0
3
0
2
2
21,040
33
0
1
9
2
2
3
3
0
5
2
2
1
5
1
2
1
18,348
33
1
1
9
3
1
4
4
0
4
0
3
0
4
0
1
1
21,048
33
1
1
14
2
2
3
3
1
3
3
3
1
3
0
2
2
21,388
30
1
3
18
1
1
2
3
1
3
3
1
0
2
1
0
2
21,577
42
0
1
25
3
2
2
2
0
3
1
7
1
3
1
1
1
17,759
46
1
1
8
2
2
2
3
4
3
1
7
0
5
1
0
0
32,861
51
1
1
16
2
2
4
4
0
3
1
6
0
5
1
3
1
21,058
30
1
1
8
2
1
2
5
1
3
2
3
0
1
1
0
2
21,091
37
0
1
25
2
2
3
3
0
3
0
6
0
5
0
1
1
22,366
28
0
2
6
2
2
2
3
0
3
1
2
0
4
0
1
1
17,706
42
1
1
12
3
2
2
3
3
5
1
1
0
3
1
0
3
28,348
44
1
1
10
3
2
2
3
1
4
2
1
0
2
1
0
2
20,933
39
0
1
9
3
1
3
5
0
4
2
3
0
1
1
1
1
21,118
42
1
1
23
2
1
2
2
1
5
3
4
1
2
0
0
2
21,545
39
0
1
28
3
0
2
3
3
5
3
2
1
5
1
1
3
25,880
28
0
1
6
2
1
2
5
1
3
0
1
0
3
1
0
2
21,674
43
1
1
20
2
2
3
3
4
5
1
7
0
5
1
1
0
32,159
45
1
1
22
3
1
4
4
3
3
0
3
0
3
0
2
3
26,656
53
1
1
13
1
2
4
4
1
5
1
5
1
4
1
2
2
24,255
42
1
1
16
2
2
4
4
0
5
1
4
0
1
0
1
1
20,916
36
1
1
33
3
2
3
3
1
3
0
7
0
3
1
0
2
20,237
22
1
1
7
1
1
4
5
0
4
2
3
1
5
0
3
1
20,748
37
1
1
12
2
2
4
4
1
4
3
2
0
2
0
3
2
24,592
30
0
3
20
1
0
3
4
1
4
3
7
0
3
0
2
2
24,443
36
0
1
18
3
2
4
5
3
5
1
4
1
5
1
3
3
28,562
40
1
1
10
3
1
2
3
2
3
0
2
0
5
0
1
4
34,033
51
0
1
14
2
2
2
5
3
3
3
3
0
2
0
1
3
25,650
39
1
3
7
2
2
3
5
0
5
3
6
0
3
0
2
1
21,536
43
1
1
18
2
2
2
4
4
4
1
2
0
3
0
1
0
29,336
35
1
1
10
2
2
3
3
0
3
1
2
0
4
0
0
1
16,951
40
0
1
9
1
1
4
4
3
3
2
2
0
2
1
2
3
29,616
27
1
3
17
3
2
3
4
1
3
3
3
0
1
0
1
2
23,362
26
0
1
8
2
2
2
3
0
5
0
7
1
5
1
0
1
17,042
43
0
3
32
2
2
3
3
4
3
0
2
1
2
0
0
0
31,959
32
1
1
18
3
2
4
4
1
5
0
3
1
2
0
3
2
25,511
35
1
1
12
3
1
3
5
3
5
2
4
0
2
0
1
3
30,309
34
1
1
11
3
1
3
5
0
4
1
8
0
4
0
2
1
21,300
31
1
1
14
2
1
2
4
0
4
2
2
0
4
0
1
1
16,261
35
1
3
16
2
1
4
4
1
3
1
3
0
1
0
1
2
24,392
42
0
3
16
2
2
3
6
4
3
1
2
0
5
1
2
0
24,829
34
1
1
14
2
1
2
3
1
5
1
4
0
5
1
1
2
20,121
34
1
1
9
2
1
3
4
0
5
0
2
0
3
1
1
1
21,385
34
1
1
13
2
0
2
3
3
4
3
1
0
3
1
0
3
26,994
39
1
1
36
1
2
3
4
1
3
0
5
0
2
0
2
2
24,939
29
1
1
12
1
2
3
4
0
3
3
3
1
1
0
1
1
22,119
35
0
1
8
3
2
2
3
1
3
1
3
0
3
0
1
2
20,762
26
1
3
10
3
2
2
4
1
3
2
2
1
2
1
1
2
20,828
37
1
1
10
2
1
3
4
0
3
1
7
0
2
1
1
1
21,513
35
0
1
16
2
2
4
4
1
5
1
6
0
3
0
2
2
24,024
40
0
1
9
2
2
3
4
4
3
1
2
0
3
1
1
0
30,847
33
1
3
11
3
1
2
3
0
3
2
2
1
2
1
0
1
17,851
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
10