Datasets:

---

piemonte

/

places

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 29 new columns ({'places_token_id', 'cross_street', 'locality', 'administrative_area', 'z_priority', 'author_id', 'address', 'place_contact_id', 'subadministrative_area', 'verified', 'locale_id', 'address_formatted', 'flagged', 'slug', 'radius_in_meters', 'created_at', 'location_id', 'nano_id', 'primary_tag_id', 'clustering_category', 'stamp_id', 'name', 'owner_id', 'postal_code', 'country', 'updated_at', 'country_code', 'sublocality', 'description'}) and 7 missing columns ({'altitude', 'longitude', 'horizontal_accuracy', 'geog', 'latitude', 'vertical_accuracy', 'geom'}).

This happened while the csv dataset builder was generating data using

hf://datasets/piemonte/places/place.csv (at revision 714c51abce9aa39ef008b4fda36c3ee8a257fa9e)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              created_at: string
              name: string
              description: string
              address: string
              address_formatted: string
              cross_street: string
              locality: string
              administrative_area: string
              postal_code: string
              country_code: string
              verified: bool
              flagged: bool
              place_contact_id: string
              location_id: string
              author_id: string
              owner_id: double
              locale_id: double
              primary_tag_id: string
              country: string
              sublocality: string
              subadministrative_area: string
              updated_at: string
              radius_in_meters: double
              stamp_id: string
              z_priority: double
              clustering_category: string
              places_token_id: double
              nano_id: string
              slug: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3906
              to
              {'id': Value(dtype='string', id=None), 'latitude': Value(dtype='float64', id=None), 'longitude': Value(dtype='float64', id=None), 'horizontal_accuracy': Value(dtype='int64', id=None), 'altitude': Value(dtype='int64', id=None), 'vertical_accuracy': Value(dtype='int64', id=None), 'geom': Value(dtype='string', id=None), 'geog': 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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 29 new columns ({'places_token_id', 'cross_street', 'locality', 'administrative_area', 'z_priority', 'author_id', 'address', 'place_contact_id', 'subadministrative_area', 'verified', 'locale_id', 'address_formatted', 'flagged', 'slug', 'radius_in_meters', 'created_at', 'location_id', 'nano_id', 'primary_tag_id', 'clustering_category', 'stamp_id', 'name', 'owner_id', 'postal_code', 'country', 'updated_at', 'country_code', 'sublocality', 'description'}) and 7 missing columns ({'altitude', 'longitude', 'horizontal_accuracy', 'geog', 'latitude', 'vertical_accuracy', 'geom'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/piemonte/places/place.csv (at revision 714c51abce9aa39ef008b4fda36c3ee8a257fa9e)
              
              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)