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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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