Hugging Face's logo

Datasets:
sauravghosh2109
/
tourism-package-predictor

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 21 new columns ({'ProductPitched', 'MonthlyIncome', 'NumberOfFollowups', 'MaritalStatus', 'Unnamed: 0', 'Gender', 'NumberOfTrips', 'NumberOfPersonVisiting', 'NumberOfChildrenVisiting', 'Occupation', 'DurationOfPitch', 'CustomerID', 'PitchSatisfactionScore', 'ProdTaken', 'OwnCar', 'Passport', 'TypeofContact', 'Designation', 'PreferredPropertyStar', 'CityTier', 'Age'}) and 36 missing columns ({'onehot__Occupation_Free Lancer', 'onehot__TypeofContact_Company Invited', 'onehot__Gender_Fe Male', 'onehot__Occupation_Small Business', 'remainder__NumberOfPersonVisiting', 'onehot__Designation_VP', 'remainder__NumberOfFollowups', 'remainder__NumberOfTrips', 'onehot__ProductPitched_King', 'remainder__PreferredPropertyStar', 'onehot__Gender_Male', 'remainder__DurationOfPitch', 'onehot__Designation_AVP', 'onehot__Occupation_Salaried', 'remainder__OwnCar', 'onehot__Designation_Senior Manager', 'onehot__Designation_Executive', 'onehot__ProductPitched_Standard', 'remainder__PitchSatisfactionScore', 'onehot__MaritalStatus_Divorced', 'onehot__MaritalStatus_Unmarried', 'onehot__ProductPitched_Basic', 'remainder__NumberOfChildrenVisiting', 'remainder__Age', 'remainder__CityTier', 'remainder__Unnamed: 0', 'onehot__TypeofContact_Self Enquiry', 'onehot__Gender_Female', 'onehot__MaritalStatus_Married', 'remainder__Passport', 'remainder__MonthlyIncome', 'onehot__ProductPitched_Super Deluxe', 'onehot__MaritalStatus_Single', 'onehot__Designation_Manager', 'onehot__ProductPitched_Deluxe', 'onehot__Occupation_Large Business'}).

This happened while the csv dataset builder was generating data using

hf://datasets/sauravghosh2109/tourism-package-predictor/tourism.csv (at revision 17f1eac5d659bf6ba7a0e395af0e7da7b232255c)

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
              {'onehot__TypeofContact_Company Invited': Value('float64'), 'onehot__TypeofContact_Self Enquiry': Value('float64'), 'onehot__Occupation_Free Lancer': Value('float64'), 'onehot__Occupation_Large Business': Value('float64'), 'onehot__Occupation_Salaried': Value('float64'), 'onehot__Occupation_Small Business': Value('float64'), 'onehot__Gender_Fe Male': Value('float64'), 'onehot__Gender_Female': Value('float64'), 'onehot__Gender_Male': Value('float64'), 'onehot__MaritalStatus_Divorced': Value('float64'), 'onehot__MaritalStatus_Married': Value('float64'), 'onehot__MaritalStatus_Single': Value('float64'), 'onehot__MaritalStatus_Unmarried': Value('float64'), 'onehot__Designation_AVP': Value('float64'), 'onehot__Designation_Executive': Value('float64'), 'onehot__Designation_Manager': Value('float64'), 'onehot__Designation_Senior Manager': Value('float64'), 'onehot__Designation_VP': Value('float64'), 'onehot__ProductPitched_Basic': Value('float64'), 'onehot__ProductPitched_Deluxe': Value('float64'), 'onehot__ProductPitched_King': Value('float64'), 'onehot__ProductPitched_Standard': Value('float64'), 'onehot__ProductPitched_Super Deluxe': Value('float64'), 'remainder__Unnamed: 0': Value('float64'), 'remainder__Age': Value('float64'), 'remainder__CityTier': Value('float64'), 'remainder__DurationOfPitch': Value('float64'), 'remainder__NumberOfPersonVisiting': Value('float64'), 'remainder__NumberOfFollowups': Value('float64'), 'remainder__PreferredPropertyStar': Value('float64'), 'remainder__NumberOfTrips': Value('float64'), 'remainder__Passport': Value('float64'), 'remainder__PitchSatisfactionScore': Value('float64'), 'remainder__OwnCar': Value('float64'), 'remainder__NumberOfChildrenVisiting': Value('float64'), 'remainder__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 21 new columns ({'ProductPitched', 'MonthlyIncome', 'NumberOfFollowups', 'MaritalStatus', 'Unnamed: 0', 'Gender', 'NumberOfTrips', 'NumberOfPersonVisiting', 'NumberOfChildrenVisiting', 'Occupation', 'DurationOfPitch', 'CustomerID', 'PitchSatisfactionScore', 'ProdTaken', 'OwnCar', 'Passport', 'TypeofContact', 'Designation', 'PreferredPropertyStar', 'CityTier', 'Age'}) and 36 missing columns ({'onehot__Occupation_Free Lancer', 'onehot__TypeofContact_Company Invited', 'onehot__Gender_Fe Male', 'onehot__Occupation_Small Business', 'remainder__NumberOfPersonVisiting', 'onehot__Designation_VP', 'remainder__NumberOfFollowups', 'remainder__NumberOfTrips', 'onehot__ProductPitched_King', 'remainder__PreferredPropertyStar', 'onehot__Gender_Male', 'remainder__DurationOfPitch', 'onehot__Designation_AVP', 'onehot__Occupation_Salaried', 'remainder__OwnCar', 'onehot__Designation_Senior Manager', 'onehot__Designation_Executive', 'onehot__ProductPitched_Standard', 'remainder__PitchSatisfactionScore', 'onehot__MaritalStatus_Divorced', 'onehot__MaritalStatus_Unmarried', 'onehot__ProductPitched_Basic', 'remainder__NumberOfChildrenVisiting', 'remainder__Age', 'remainder__CityTier', 'remainder__Unnamed: 0', 'onehot__TypeofContact_Self Enquiry', 'onehot__Gender_Female', 'onehot__MaritalStatus_Married', 'remainder__Passport', 'remainder__MonthlyIncome', 'onehot__ProductPitched_Super Deluxe', 'onehot__MaritalStatus_Single', 'onehot__Designation_Manager', 'onehot__ProductPitched_Deluxe', 'onehot__Occupation_Large Business'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sauravghosh2109/tourism-package-predictor/tourism.csv (at revision 17f1eac5d659bf6ba7a0e395af0e7da7b232255c)
              
              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.

onehot__TypeofContact_Company Invited
float64
onehot__TypeofContact_Self Enquiry
float64
onehot__Occupation_Free Lancer
float64
onehot__Occupation_Large Business
float64
onehot__Occupation_Salaried
float64
onehot__Occupation_Small Business
float64
onehot__Gender_Fe Male
float64
onehot__Gender_Female
float64
onehot__Gender_Male
float64
onehot__MaritalStatus_Divorced
float64
onehot__MaritalStatus_Married
float64
onehot__MaritalStatus_Single
float64
onehot__MaritalStatus_Unmarried
float64
onehot__Designation_AVP
float64
onehot__Designation_Executive
float64
onehot__Designation_Manager
float64
onehot__Designation_Senior Manager
float64
onehot__Designation_VP
float64
onehot__ProductPitched_Basic
float64
onehot__ProductPitched_Deluxe
float64
onehot__ProductPitched_King
float64
onehot__ProductPitched_Standard
float64
onehot__ProductPitched_Super Deluxe
float64
remainder__Unnamed: 0
float64
remainder__Age
float64
remainder__CityTier
float64
remainder__DurationOfPitch
float64
remainder__NumberOfPersonVisiting
float64
remainder__NumberOfFollowups
float64
remainder__PreferredPropertyStar
float64
remainder__NumberOfTrips
float64
remainder__Passport
float64
remainder__PitchSatisfactionScore
float64
remainder__OwnCar
float64
remainder__NumberOfChildrenVisiting
float64
remainder__MonthlyIncome
float64
0
1
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
1,214
44
1
8
3
1
3
2
1
4
1
0
22,879
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
3,829
35
3
20
3
4
3
3
0
1
1
2
27,306
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
2,622
47
3
7
4
4
5
3
0
2
1
2
29,131
0
1
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1,543
32
1
6
3
3
4
2
0
3
1
0
21,220
0
1
0
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
3,144
59
1
9
3
4
3
6
0
2
1
2
21,157
0
1
0
0
0
1
0
0
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
907
44
3
11
2
3
4
1
0
5
1
1
33,213
0
1
0
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1,426
32
1
35
2
4
4
2
0
3
1
0
17,837
0
1
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
4,269
27
3
7
3
4
3
3
0
5
0
2
23,974
1
0
0
0
1
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
261
38
3
8
2
4
3
4
0
5
1
1
20,249
0
1
0
1
0
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,223
32
1
12
3
4
3
2
1
4
1
1
23,499
0
1
0
1
0
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
243
40
1
30
3
3
3
2
0
3
1
1
18,319
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
3,533
38
1
20
3
4
3
3
0
1
0
1
22,963
1
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
228
35
3
6
3
3
3
2
0
5
1
0
23,789
0
1
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
1,110
35
1
8
3
3
5
2
1
1
1
1
17,074
0
1
0
0
0
1
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,350
34
1
17
3
6
3
2
0
5
0
1
22,086
0
1
0
0
1
0
0
1
0
0
0
0
1
0
1
0
0
0
1
0
0
0
0
3,870
33
1
36
3
5
4
3
0
3
1
1
21,515
0
1
0
0
1
0
0
0
1
1
0
0
0
0
1
0
0
0
1
0
0
0
0
87
51
1
15
3
3
3
4
0
3
1
0
17,075
1
0
0
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1,365
29
3
30
2
1
5
2
0
3
1
1
16,091
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
378
34
3
25
3
2
3
1
1
2
1
2
20,304
0
1
0
0
0
1
0
0
1
0
0
1
0
0
0
0
1
0
0
0
0
1
0
2,522
38
1
14
2
4
3
6
0
2
0
1
32,342
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
209
46
1
6
3
3
5
1
0
2
0
0
24,396
0
1
0
0
0
1
0
0
1
1
0
0
0
0
0
0
1
0
0
0
0
1
0
510
54
2
25
2
3
4
3
0
3
1
0
25,725
0
1
0
0
0
1
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
2,022
56
1
15
2
3
3
1
0
4
0
0
26,103
1
0
0
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
385
30
1
10
2
3
3
19
1
4
1
1
17,285
0
1
0
0
0
1
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1,386
26
1
6
3
3
5
1
0
5
1
2
17,867
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
2,060
33
1
13
2
3
3
1
0
4
1
0
26,691
0
1
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
1,946
24
1
23
3
4
4
2
0
3
1
1
17,127
0
1
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
3,768
30
1
36
4
6
3
2
0
5
1
3
25,062
1
0
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1,253
33
3
8
3
3
4
1
0
1
0
0
20,147
1
0
0
0
0
1
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
2,230
53
3
8
2
4
4
3
0
1
1
0
22,525
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
3,514
29
3
14
3
4
5
2
0
3
1
2
23,576
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1,372
39
1
15
2
3
5
2
0
4
1
0
20,151
0
1
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
4,366
46
3
9
4
4
4
2
0
5
1
3
23,483
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
1
0
2,466
35
1
14
3
4
4
2
0
3
1
1
30,672
1
0
0
0
0
1
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,073
35
3
9
4
4
3
8
0
5
0
1
20,909
1
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,596
33
1
7
4
5
4
8
0
3
0
3
21,010
1
0
0
0
1
0
0
1
0
0
0
0
1
0
1
0
0
0
1
0
0
0
0
2,373
29
1
16
2
4
3
2
0
4
1
0
21,623
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1,916
41
3
16
2
3
3
1
0
1
0
1
21,230
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
3,268
43
1
36
3
6
3
6
0
3
1
1
22,950
1
0
0
0
0
1
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,329
35
3
13
3
6
3
2
0
4
0
2
21,029
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
1
0
1,685
41
3
12
3
3
3
4
1
1
0
0
28,591
0
1
0
0
1
0
0
1
0
0
0
0
1
0
0
1
0
0
0
1
0
0
0
694
33
1
6
2
4
3
1
0
4
0
0
21,949
1
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
837
40
1
15
2
3
3
1
0
4
0
0
28,499
1
0
0
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1,852
26
1
9
3
3
5
1
0
3
0
1
18,102
0
1
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1,712
41
1
25
2
3
5
3
0
1
0
0
18,072
1
0
0
0
1
0
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
222
37
1
17
2
3
3
2
1
3
0
1
27,185
0
1
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
2,145
31
3
13
2
4
3
4
0
4
1
1
17,329
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
4,867
45
3
8
3
6
4
8
0
3
0
2
21,040
1
0
0
0
1
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
0
514
33
1
9
3
3
5
2
1
5
1
2
18,348
0
1
0
0
0
1
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
0
2,795
33
1
9
4
4
4
3
0
4
0
1
21,048
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
1,074
33
1
14
3
3
3
3
1
3
0
2
21,388
0
1
0
1
0
0
0
1
0
0
0
0
1
0
0
1
0
0
0
1
0
0
0
402
30
3
18
2
3
3
1
0
2
1
0
21,577
1
0
0
0
0
1
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
547
42
1
25
2
2
3
7
1
3
1
1
17,759
0
1
0
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
1,899
46
1
8
2
3
3
7
0
5
1
0
32,861
0
1
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,656
51
1
16
4
4
3
6
0
5
1
3
21,058
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1,880
30
1
8
2
5
3
3
0
1
1
0
21,091
1
0
0
0
1
0
0
0
1
1
0
0
0
0
1
0
0
0
1
0
0
0
0
2,742
37
1
25
3
3
3
6
0
5
0
1
22,366
1
0
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
1,323
28
2
6
2
3
3
2
0
4
0
1
17,706
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
1,357
42
1
12
2
3
5
1
0
3
1
0
28,348
0
1
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
617
44
1
10
2
3
4
1
0
2
1
0
20,933
1
0
0
0
0
1
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
0
3,637
39
1
9
3
5
4
3
0
1
1
1
21,118
0
1
0
0
1
0
0
1
0
0
0
0
1
0
0
1
0
0
0
1
0
0
0
253
42
1
23
2
2
5
4
1
2
0
0
21,545
1
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
2,223
39
1
28
2
3
5
2
1
5
1
1
25,880
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
1
0
0
0
944
28
1
6
2
5
3
1
0
3
1
0
21,674
0
1
0
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
2,079
43
1
20
3
3
5
7
0
5
1
1
32,159
0
1
0
0
0
1
0
1
0
1
0
0
0
0
0
0
1
0
0
0
0
1
0
3,372
45
1
22
4
4
3
3
0
3
0
2
26,656
0
1
0
1
0
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
4,382
53
1
13
4
4
5
5
1
4
1
2
24,255
0
1
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,062
42
1
16
4
4
5
4
0
1
0
1
20,916
0
1
0
0
0
1
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
9
36
1
33
3
3
3
7
0
3
1
0
20,237
0
1
0
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
0
3,259
22
1
7
4
5
4
3
1
5
0
3
20,748
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
2,664
37
1
12
4
4
4
2
0
2
0
3
24,592
1
0
0
1
0
0
1
0
0
0
0
0
1
0
0
1
0
0
0
1
0
0
0
3,501
30
3
20
3
4
4
7
0
3
0
2
24,443
1
0
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
3,967
36
1
18
4
5
5
4
1
5
1
3
28,562
0
1
0
0
0
1
0
1
0
1
0
0
0
0
0
0
0
1
0
0
1
0
0
186
40
1
10
2
3
3
2
0
5
0
1
34,033
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
1
0
136
51
1
14
2
5
3
3
0
2
0
1
25,650
0
1
0
0
1
0
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
0
3,835
39
3
7
3
5
5
6
0
3
0
2
21,536
0
1
0
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
390
43
1
18
2
4
4
2
0
3
0
1
29,336
0
1
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
1
0
0
0
0
40
35
1
10
3
3
3
2
0
4
0
0
16,951
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
1
0
2,695
40
1
9
4
4
3
2
0
2
1
2
29,616
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
3,753
27
3
17
3
4
3
3
0
1
0
1
23,362
1
0
0
0
1
0
0
0
1
1
0
0
0
0
1
0
0
0
1
0
0
0
0
762
26
1
8
2
3
5
7
1
5
1
0
17,042
1
0
0
0
1
0
0
0
1
1
0
0
0
1
0
0
0
0
0
0
0
0
1
119
43
3
32
3
3
3
2
1
2
0
0
31,959
0
1
0
0
0
1
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
3,339
32
1
18
4
4
5
3
1
2
0
3
25,511
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
0
1
0
0
0
0
1
0
2,560
35
1
12
3
5
5
4
0
2
0
1
30,309
0
1
0
0
0
1
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
4,135
34
1
11
3
5
4
8
0
4
0
2
21,300
0
1
0
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
0
1,016
31
1
14
2
4
4
2
0
4
0
1
16,261
0
1
0
0
1
0
0
1
0
0
1
0
0
0
0
1
0
0
0
1
0
0
0
4,748
35
3
16
4
4
3
3
0
1
0
1
24,392
1
0
0
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
4,865
42
3
16
3
6
3
2
0
5
1
2
24,829
0
1
0
0
1
0
0
1
0
0
1
0
0
0
0
1
0
0
0
1
0
0
0
2,030
34
1
14
2
3
5
4
0
5
1
1
20,121
0
1
0
0
1
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
0
2,680
34
1
9
3
4
5
2
0
3
1
1
21,385
0
1
0
0
1
0
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
0
22
34
1
13
2
3
4
1
0
3
1
0
26,994
0
1
0
1
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
0
0
0
2,643
39
1
36
3
4
3
5
0
2
0
2
24,939
0
1
0
1
0
0
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
0
0
3,965
29
1
12
3
4
3
3
1
1
0
1
22,119
1
0
0
0
0
1
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1,288
35
1
8
2
3
3
3
0
3
0
1
20,762
0
1
0
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
293
26
3
10
2
4
3
2
1
2
1
1
20,828
0
1
0
0
1
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
2,562
37
1
10
3
4
3
7
0
2
1
1
21,513
1
0
0
0
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
0
3,734
35
1
16
4
4
5
6
0
3
0
2
24,024
1
0
0
0
1
0
0
0
1
0
1
0
0
1
0
0
0
0
0
0
0
0
1
4,727
40
1
9
3
4
3
2
0
3
1
1
30,847
0
1
0
0
0
1
0
1
0
0
0
1
0
0
1
0
0
0
1
0
0
0
0
363
33
3
11
2
3
3
2
1
2
1
0
17,851
0
1
0
0
0
1
0
0
1
1
0
0
0
0
1
0
0
0
1
0
0
0
0
642
38
3
15
3
4
4
1
0
4
0
0
17,899
End of preview.

No dataset card yet

Downloads last month
1