Datasets:

---

wapiuk

/

LwHx8NXX5MV7Cn8F

like 0

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 1 new columns ({'AE'}) and 1 missing columns ({'AD'}).

This happened while the json dataset builder was generating data using

hf://datasets/wapiuk/LwHx8NXX5MV7Cn8F/AE.json (at revision 01966553708b454962a0f8a45db542881ee1ba68)

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 2013, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              AE: struct<address_format: string, alpha2: string, alpha3: string, continent: string, country_code: string, currency_code: string, distance_unit: string, gec: string, geo: struct<latitude: double, longitude: double, max_latitude: double, max_longitude: double, min_latitude: double, min_longitude: double, bounds: struct<northeast: struct<lat: double, lng: double>, southwest: struct<lat: double, lng: double>>>, international_prefix: string, ioc: string, iso_long_name: string, iso_short_name: string, languages_official: list<item: string>, languages_spoken: list<item: string>, national_destination_code_lengths: list<item: int64>, national_number_lengths: list<item: int64>, national_prefix: string, nationality: string, number: string, postal_code: bool, region: string, start_of_week: string, subregion: string, un_locode: string, unofficial_names: list<item: string>, vat_rates: struct<standard: int64, reduced: list<item: null>, super_reduced: null, parking: null>, world_region: string>
                child 0, address_format: string
                child 1, alpha2: string
                child 2, alpha3: string
                child 3, continent: string
                child 4, country_code: string
                child 5, currency_code: string
                child 6, distance_unit: string
                child 7, gec: string
                child 8, geo: struct<latitude: double, longitude: double, max_latitude: double, max_longitude: double, min_latitude: double, min_longitude: double, bounds: struct<northeast: struct<lat: double, lng: double>, southwest: struct<lat: double, lng: double>>>
                    child 
              ...
              n_longitude: double
                    child 6, bounds: struct<northeast: struct<lat: double, lng: double>, southwest: struct<lat: double, lng: double>>
                        child 0, northeast: struct<lat: double, lng: double>
                            child 0, lat: double
                            child 1, lng: double
                        child 1, southwest: struct<lat: double, lng: double>
                            child 0, lat: double
                            child 1, lng: double
                child 9, international_prefix: string
                child 10, ioc: string
                child 11, iso_long_name: string
                child 12, iso_short_name: string
                child 13, languages_official: list<item: string>
                    child 0, item: string
                child 14, languages_spoken: list<item: string>
                    child 0, item: string
                child 15, national_destination_code_lengths: list<item: int64>
                    child 0, item: int64
                child 16, national_number_lengths: list<item: int64>
                    child 0, item: int64
                child 17, national_prefix: string
                child 18, nationality: string
                child 19, number: string
                child 20, postal_code: bool
                child 21, region: string
                child 22, start_of_week: string
                child 23, subregion: string
                child 24, un_locode: string
                child 25, unofficial_names: list<item: string>
                    child 0, item: string
                child 26, vat_rates: struct<standard: int64, reduced: list<item: null>, super_reduced: null, parking: null>
                    child 0, standard: int64
                    child 1, reduced: list<item: null>
                        child 0, item: null
                    child 2, super_reduced: null
                    child 3, parking: null
                child 27, world_region: string
              to
              {'AD': {'alpha2': Value(dtype='string', id=None), 'alpha3': Value(dtype='string', id=None), 'continent': Value(dtype='string', id=None), 'country_code': Value(dtype='string', id=None), 'currency_code': Value(dtype='string', id=None), 'distance_unit': Value(dtype='string', id=None), 'gec': Value(dtype='string', id=None), 'geo': {'latitude': Value(dtype='float64', id=None), 'longitude': Value(dtype='float64', id=None), 'max_latitude': Value(dtype='float64', id=None), 'max_longitude': Value(dtype='float64', id=None), 'min_latitude': Value(dtype='float64', id=None), 'min_longitude': Value(dtype='float64', id=None), 'bounds': {'northeast': {'lat': Value(dtype='float64', id=None), 'lng': Value(dtype='float64', id=None)}, 'southwest': {'lat': Value(dtype='float64', id=None), 'lng': Value(dtype='float64', id=None)}}}, 'international_prefix': Value(dtype='string', id=None), 'ioc': Value(dtype='string', id=None), 'iso_long_name': Value(dtype='string', id=None), 'iso_short_name': Value(dtype='string', id=None), 'languages_official': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'languages_spoken': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'national_destination_code_lengths': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'national_number_lengths': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'national_prefix': Value(dtype='string', id=None), 'nationality': Value(dtype='string', id=None), 'number': Value(dtype='string', id=None), 'postal_code': Value(dtype='bool', id=None), 'postal_code_format': Value(dtype='string', id=None), 'region': Value(dtype='string', id=None), 'start_of_week': Value(dtype='string', id=None), 'subregion': Value(dtype='string', id=None), 'un_locode': Value(dtype='string', id=None), 'unofficial_names': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'world_region': Value(dtype='string', id=None)}}
              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 1396, 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 1045, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 1 new columns ({'AE'}) and 1 missing columns ({'AD'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/wapiuk/LwHx8NXX5MV7Cn8F/AE.json (at revision 01966553708b454962a0f8a45db542881ee1ba68)
              
              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)