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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 55 new columns ({'postal_code', 'language_spoken', 'employment_status', 'disability_status', 'phone_number', 'country_of_origin', 'location', 'weight', 'blood_type', 'marital_status', 'health_insurance_status', 'income_level', 'id', 'religion', 'home_ownership', 'height', 'body_mass_index', 'education_level', 'veteran_status', 'smartphone_ownership', 'income', 'children_count', 'name', 'address', 'commute_distance', 'city', 'vehicle_ownership', 'social_media_usage', 'gender', 'height_unit', 'smoker_status', 'age', 'household_size', 'country', 'bmi_category', 'last_name', 'ethnicity', 'birth_date', 'Cleaned Names', 'email', 'health_insurance', 'housing_type', 'immigration_status', 'voter_status', 'state', 'measurement_date', 'weight_category', 'pet_ownership', 'height_category', 'first_name', 'ip_address', 'neighborhood_safety_rating', 'internet_usage', 'voting_preference', 'weight_unit'}) and 3 missing columns ({'amount', 'date', 'description'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mahadf1/osworld_tasks_files/Golden_Customer_data.csv (at revision 1cbadea068049b764bee01a4ed2a4e8a31d6addb), [/tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/AccountBook.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/AccountBook.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_AccountBook.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_AccountBook.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_Customer_data.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_Customer_data.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/attendance_data.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/attendance_data.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/clause_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/clause_pending.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/customer_data.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/customer_data.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/physics_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/physics_pending.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/radiation_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/radiation_pending.zip)]

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 674, 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
              id: int64
              first_name: string
              last_name: string
              gender: string
              name: string
              ip_address: string
              age: int64
              ethnicity: string
              marital_status: string
              education_level: string
              income_level: double
              pet_ownership: bool
              location: string
              country_of_origin: string
              voting_preference: string
              health_insurance_status: string
              disability_status: bool
              veteran_status: bool
              immigration_status: string
              internet_usage: bool
              social_media_usage: bool
              smartphone_ownership: bool
              commute_distance: double
              housing_type: string
              neighborhood_safety_rating: int64
              address: string
              city: string
              state: string
              country: string
              postal_code: string
              phone_number: string
              email: string
              birth_date: string
              employment_status: string
              income: double
              household_size: int64
              children_count: int64
              language_spoken: string
              religion: string
              voter_status: bool
              home_ownership: string
              vehicle_ownership: string
              health_insurance: bool
              height: double
              weight: double
              blood_type: string
              smoker_status: string
              body_mass_index: double
              height_category: string
              weight_category: string
              bmi_category: string
              height_unit: string
              weight_unit: string
              measurement_date: string
              Cleaned Names: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7039
              to
              {'date': Value('string'), 'description': Value('string'), 'amount': 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 1333, 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 966, 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 55 new columns ({'postal_code', 'language_spoken', 'employment_status', 'disability_status', 'phone_number', 'country_of_origin', 'location', 'weight', 'blood_type', 'marital_status', 'health_insurance_status', 'income_level', 'id', 'religion', 'home_ownership', 'height', 'body_mass_index', 'education_level', 'veteran_status', 'smartphone_ownership', 'income', 'children_count', 'name', 'address', 'commute_distance', 'city', 'vehicle_ownership', 'social_media_usage', 'gender', 'height_unit', 'smoker_status', 'age', 'household_size', 'country', 'bmi_category', 'last_name', 'ethnicity', 'birth_date', 'Cleaned Names', 'email', 'health_insurance', 'housing_type', 'immigration_status', 'voter_status', 'state', 'measurement_date', 'weight_category', 'pet_ownership', 'height_category', 'first_name', 'ip_address', 'neighborhood_safety_rating', 'internet_usage', 'voting_preference', 'weight_unit'}) and 3 missing columns ({'amount', 'date', 'description'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mahadf1/osworld_tasks_files/Golden_Customer_data.csv (at revision 1cbadea068049b764bee01a4ed2a4e8a31d6addb), [/tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/AccountBook.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/AccountBook.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_AccountBook.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_AccountBook.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_Customer_data.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/Golden_Customer_data.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/attendance_data.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/attendance_data.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/clause_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/clause_pending.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/customer_data.csv (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/customer_data.csv), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/physics_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/physics_pending.zip), /tmp/hf-datasets-cache/medium/datasets/89359982216211-config-parquet-and-info-mahadf1-osworld_tasks_fil-3303113f/hub/datasets--mahadf1--osworld_tasks_files/snapshots/1cbadea068049b764bee01a4ed2a4e8a31d6addb/radiation_pending.zip (origin=hf://datasets/mahadf1/osworld_tasks_files@1cbadea068049b764bee01a4ed2a4e8a31d6addb/radiation_pending.zip)]
              
              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.

date
string
description
string
amount
float64
2024-01-01
Coffee shop
18.45
2024-01-02
Fuel
115.02
2024-01-02
Snacks
9.37
2024-01-03
Transport
132.78
2024-01-03
Subscription service
61.27
2024-01-03
Taxi
72.79
2024-01-04
Salon
58.28
2024-01-04
Clothing store
64.79
2024-01-04
Electricity bill
10.17
2024-01-05
Coffee shop
51.07
2024-01-05
Restaurant
143.27
2024-01-05
Restaurant
142.25
2024-01-06
Coffee shop
41.69
2024-01-06
Online shopping
113.19
2024-01-06
Hardware store
41.05
2024-01-07
Internet bill
92.66
2024-01-08
Taxi
10.11
2024-01-08
Snacks
124.29
2024-01-09
Restaurant
36.96
2024-01-10
Stationery
108.99
2024-01-10
Restaurant
50.44
2024-01-11
Clothing store
124.05
2024-01-12
Movie ticket
28.3
2024-01-12
Clothing store
38.54
2024-01-12
Pharmacy
84.3
2024-01-13
Taxi
123.39
2024-01-14
Taxi
94.56
2024-01-15
Transport
22.43
2024-01-16
Water bill
88.05
2024-01-16
Coffee shop
100.5
2024-01-16
Salon
131.78
2024-01-17
Snacks
123.96
2024-01-18
Snacks
49.05
2024-01-18
Clothing store
98.92
2024-01-19
Internet bill
58.88
2024-01-19
Online shopping
123.02
2024-01-20
Movie ticket
62.61
2024-01-20
Coffee shop
10.34
2024-01-21
Restaurant
49.42
2024-01-22
Stationery
89.83
2024-01-22
Hardware store
49.69
2024-01-22
Grocery store
26.01
2024-01-23
Taxi
42.43
2024-01-24
Snacks
66.76
2024-01-24
Gym fee
126.64
2024-01-25
Taxi
26.96
2024-01-26
Internet bill
125.85
2024-01-26
Water bill
25.87
2024-01-26
Movie ticket
10.26
2024-01-27
Taxi
88.7
2024-01-27
Coffee shop
75.16
2024-01-28
Clothing store
81.35
2024-01-29
Mobile recharge
134.94
2024-01-29
Coffee shop
56.43
2024-01-30
Movie ticket
136.41
2024-01-31
Pharmacy
63.98
2024-01-31
Hardware store
128.76
2024-01-31
Snacks
142.38
2024-01-01
Coffee shop
18.45
2024-01-02
Fuel
115.02
2024-01-02
Snacks
9.37
2024-01-03
Transport
132.78
2024-01-03
Subscription service
61.27
2024-01-03
Taxi
72.79
2024-01-04
Salon
58.28
2024-01-04
Clothing store
64.79
2024-01-04
Electricity bill
10.17
2024-01-05
Coffee shop
51.07
2024-01-05
Restaurant
143.27
2024-01-05
Restaurant
142.25
2024-01-06
Coffee shop
41.69
2024-01-06
Online shopping
113.19
2024-01-06
Hardware store
41.05
2024-01-07
Internet bill
92.66
2024-01-08
Taxi
10.11
2024-01-08
Snacks
124.29
2024-01-09
Restaurant
36.96
2024-01-10
Stationery
108.99
2024-01-10
Restaurant
50.44
2024-01-11
Clothing store
124.05
2024-01-12
Movie ticket
28.3
2024-01-12
Clothing store
38.54
2024-01-12
Pharmacy
84.3
2024-01-13
Taxi
123.39
2024-01-14
Taxi
94.56
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