Hugging Face's logo

Datasets:
Rajanan
/
ds-visit-with-us-mlops

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 2 new columns ({'ProdTaken', 'CustomerID'})

This happened while the csv dataset builder was generating data using

hf://datasets/Rajanan/ds-visit-with-us-mlops/tourism.csv (at revision b49e0583cc509868a0d9992bacfc8efefa7c8179), [/tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtest.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtrain.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/tourism.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/ytest.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/ytrain.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/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
              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
              {'Unnamed: 0': Value('int64'), '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 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 2 new columns ({'ProdTaken', 'CustomerID'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Rajanan/ds-visit-with-us-mlops/tourism.csv (at revision b49e0583cc509868a0d9992bacfc8efefa7c8179), [/tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtest.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtrain.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/tourism.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/ytest.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/42543393691068-config-parquet-and-info-Rajanan-ds-visit-with-us--27b01535/hub/datasets--Rajanan--ds-visit-with-us-mlops/snapshots/b49e0583cc509868a0d9992bacfc8efefa7c8179/ytrain.csv (origin=hf://datasets/Rajanan/ds-visit-with-us-mlops@b49e0583cc509868a0d9992bacfc8efefa7c8179/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.

Unnamed: 0
int64
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
1,214
44
1
1
8
1
0
3
1
3
3
1
2
1
4
1
0
3
22,879
3,829
35
1
3
20
2
1
3
4
3
3
1
3
0
1
1
2
3
27,306
2,622
47
1
3
7
2
0
4
4
3
5
1
3
0
2
1
2
3
29,131
1,543
32
1
1
6
1
1
3
3
1
4
1
2
0
3
1
0
2
21,220
3,144
59
1
1
9
0
1
3
4
0
3
2
6
0
2
1
2
1
21,157
907
44
1
3
11
2
1
2
3
2
4
0
1
0
5
1
1
4
33,213
1,426
32
1
1
35
1
0
2
4
0
4
2
2
0
3
1
0
1
17,837
4,269
27
1
3
7
1
1
3
4
1
3
1
3
0
5
0
2
2
23,974
261
38
0
3
8
1
1
2
4
1
3
0
4
0
5
1
1
2
20,249
4,223
32
1
1
12
0
1
3
4
0
3
1
2
1
4
1
1
1
23,499
243
40
1
1
30
0
1
3
3
1
3
1
2
0
3
1
1
2
18,319
3,533
38
1
1
20
2
1
3
4
1
3
1
3
0
1
0
1
2
22,963
228
35
0
3
6
2
0
3
3
3
3
2
2
0
5
1
0
3
23,789
1,110
35
1
1
8
1
0
3
3
0
5
1
2
1
1
1
1
1
17,074
4,350
34
1
1
17
2
1
3
6
0
3
1
2
0
5
0
1
1
22,086
3,870
33
1
1
36
1
0
3
5
0
4
2
3
0
3
1
1
1
21,515
87
51
1
1
15
1
1
3
3
0
3
0
4
0
3
1
0
1
17,075
1,365
29
0
3
30
0
1
2
1
0
5
2
2
0
3
1
1
1
16,091
378
34
0
3
25
2
1
3
2
1
3
2
1
1
2
1
2
2
20,304
2,522
38
1
1
14
2
1
2
4
3
3
2
6
0
2
0
1
3
32,342
209
46
1
1
6
2
1
3
3
3
5
1
1
0
2
0
0
3
24,396
510
54
1
2
25
2
1
2
3
3
4
0
3
0
3
1
0
3
25,725
2,022
56
1
1
15
2
1
2
3
4
3
1
1
0
4
0
0
0
26,103
385
30
0
1
10
0
1
2
3
0
3
2
19
1
4
1
1
1
17,285
1,386
26
1
1
6
2
1
3
3
0
5
2
1
0
5
1
2
1
17,867
2,060
33
1
1
13
2
1
2
3
3
3
1
1
0
4
1
0
3
26,691
1,946
24
1
1
23
1
1
3
4
0
4
1
2
0
3
1
1
1
17,127
3,768
30
1
1
36
1
1
4
6
1
3
1
2
0
5
1
3
2
25,062
1,253
33
0
3
8
2
0
3
3
1
4
2
1
0
1
0
0
2
20,147
2,230
53
0
3
8
2
0
2
4
3
4
1
3
0
1
1
0
3
22,525
3,514
29
0
3
14
1
1
3
4
1
5
2
2
0
3
1
2
2
23,576
1,372
39
1
1
15
2
1
2
3
1
5
1
2
0
4
1
0
2
20,151
4,366
46
1
3
9
1
1
4
4
1
4
1
2
0
5
1
3
2
23,483
2,466
35
1
1
14
1
0
3
4
3
4
2
2
0
3
1
1
3
30,672
4,073
35
0
3
9
2
0
4
4
0
3
1
8
0
5
0
1
1
20,909
4,596
33
0
1
7
1
0
4
5
0
4
1
8
0
3
0
3
1
21,010
2,373
29
0
1
16
1
0
2
4
0
3
2
2
0
4
1
0
1
21,623
1,916
41
0
3
16
1
1
2
3
1
3
2
1
0
1
0
1
2
21,230
3,268
43
1
1
36
2
1
3
6
1
3
2
6
0
3
1
1
2
22,950
4,329
35
0
3
13
2
0
3
6
0
3
1
2
0
4
0
2
1
21,029
1,685
41
1
3
12
1
0
3
3
3
3
2
4
1
1
0
0
3
28,591
694
33
1
1
6
1
0
2
4
1
3
2
1
0
4
0
0
2
21,949
837
40
0
1
15
2
0
2
3
3
3
2
1
0
4
0
0
3
28,499
1,852
26
0
1
9
0
1
3
3
0
5
2
1
0
3
0
1
1
18,102
1,712
41
1
1
25
1
1
2
3
1
5
1
3
0
1
0
0
2
18,072
222
37
0
1
17
1
1
2
3
3
3
1
2
1
3
0
1
3
27,185
2,145
31
1
3
13
1
1
2
4
0
3
1
4
0
4
1
1
1
17,329
4,867
45
1
3
8
1
1
3
6
1
4
2
8
0
3
0
2
2
21,040
514
33
0
1
9
1
1
3
3
0
5
2
2
1
5
1
2
1
18,348
2,795
33
1
1
9
2
0
4
4
0
4
0
3
0
4
0
1
1
21,048
1,074
33
1
1
14
1
1
3
3
1
3
2
3
1
3
0
2
2
21,388
402
30
1
3
18
0
0
2
3
1
3
2
1
0
2
1
0
2
21,577
547
42
0
1
25
2
1
2
2
0
3
1
7
1
3
1
1
1
17,759
1,899
46
1
1
8
1
1
2
3
4
3
1
7
0
5
1
0
0
32,861
4,656
51
1
1
16
1
1
4
4
0
3
1
6
0
5
1
3
1
21,058
1,880
30
1
1
8
1
0
2
5
1
3
2
3
0
1
1
0
2
21,091
2,742
37
0
1
25
1
1
3
3
0
3
0
6
0
5
0
1
1
22,366
1,323
28
0
2
6
1
1
2
3
0
3
1
2
0
4
0
1
1
17,706
1,357
42
1
1
12
2
1
2
3
3
5
1
1
0
3
1
0
3
28,348
617
44
1
1
10
2
1
2
3
1
4
2
1
0
2
1
0
2
20,933
3,637
39
0
1
9
2
0
3
5
0
4
2
3
0
1
1
1
1
21,118
253
42
1
1
23
1
0
2
2
1
5
2
4
1
2
0
0
2
21,545
2,223
39
0
1
28
2
0
2
3
3
5
2
2
1
5
1
1
3
25,880
944
28
0
1
6
1
0
2
5
1
3
0
1
0
3
1
0
2
21,674
2,079
43
1
1
20
1
1
3
3
4
5
1
7
0
5
1
1
0
32,159
3,372
45
1
1
22
2
0
4
4
3
3
0
3
0
3
0
2
3
26,656
4,382
53
1
1
13
0
1
4
4
1
5
1
5
1
4
1
2
2
24,255
4,062
42
1
1
16
1
1
4
4
0
5
1
4
0
1
0
1
1
20,916
9
36
1
1
33
2
1
3
3
1
3
0
7
0
3
1
0
2
20,237
3,259
22
1
1
7
0
0
4
5
0
4
2
3
1
5
0
3
1
20,748
2,664
37
1
1
12
1
1
4
4
1
4
2
2
0
2
0
3
2
24,592
3,501
30
0
3
20
0
0
3
4
1
4
2
7
0
3
0
2
2
24,443
3,967
36
0
1
18
2
1
4
5
3
5
1
4
1
5
1
3
3
28,562
186
40
1
1
10
2
0
2
3
2
3
0
2
0
5
0
1
4
34,033
136
51
0
1
14
1
1
2
5
3
3
2
3
0
2
0
1
3
25,650
3,835
39
1
3
7
1
1
3
5
0
5
2
6
0
3
0
2
1
21,536
390
43
1
1
18
1
1
2
4
4
4
1
2
0
3
0
1
0
29,336
40
35
1
1
10
1
1
3
3
0
3
1
2
0
4
0
0
1
16,951
2,695
40
0
1
9
0
0
4
4
3
3
2
2
0
2
1
2
3
29,616
3,753
27
1
3
17
2
1
3
4
1
3
2
3
0
1
0
1
2
23,362
762
26
0
1
8
1
1
2
3
0
5
0
7
1
5
1
0
1
17,042
119
43
0
3
32
1
1
3
3
4
3
0
2
1
2
0
0
0
31,959
3,339
32
1
1
18
2
1
4
4
1
5
0
3
1
2
0
3
2
25,511
2,560
35
1
1
12
2
0
3
5
3
5
2
4
0
2
0
1
3
30,309
4,135
34
1
1
11
2
0
3
5
0
4
1
8
0
4
0
2
1
21,300
1,016
31
1
1
14
1
0
2
4
0
4
2
2
0
4
0
1
1
16,261
4,748
35
1
3
16
1
0
4
4
1
3
1
3
0
1
0
1
2
24,392
4,865
42
0
3
16
1
1
3
6
4
3
1
2
0
5
1
2
0
24,829
2,030
34
1
1
14
1
0
2
3
1
5
1
4
0
5
1
1
2
20,121
2,680
34
1
1
9
1
0
3
4
0
5
0
2
0
3
1
1
1
21,385
22
34
1
1
13
1
0
2
3
3
4
2
1
0
3
1
0
3
26,994
2,643
39
1
1
36
0
1
3
4
1
3
0
5
0
2
0
2
2
24,939
3,965
29
1
1
12
0
1
3
4
0
3
2
3
1
1
0
1
1
22,119
1,288
35
0
1
8
2
1
2
3
1
3
1
3
0
3
0
1
2
20,762
293
26
1
3
10
2
1
2
4
1
3
2
2
1
2
1
1
2
20,828
2,562
37
1
1
10
1
0
3
4
0
3
1
7
0
2
1
1
1
21,513
3,734
35
0
1
16
1
1
4
4
1
5
1
6
0
3
0
2
2
24,024
4,727
40
0
1
9
1
1
3
4
4
3
1
2
0
3
1
1
0
30,847
363
33
1
3
11
2
0
2
3
0
3
2
2
1
2
1
0
1
17,851
642
38
1
3
15
2
1
3
4
0
4
0
1
0
4
0
0
1
17,899
End of preview.

No dataset card yet

Downloads last month
16