Datasets:

viewit-ai

/

sobha

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 18 new columns ({'area_name', 'reg_type', 'property_type', 'nearest_mall', 'nearest_landmark', 'rooms', 'area', 'rent_per_meter', 'transaction_group', 'master_project', 'project_name', 'building_name', 'sale_price', 'property_usage', 'sale_per_meter', 'procedure_name', 'nearest_metro', 'rent_price'}) and 43 missing columns ({'area_name_en', 'area_id', 'reg_type_id', 'rooms_en', 'no_of_parties_role_1', 'nearest_metro_ar', 'property_sub_type_ar', 'actual_worth', 'nearest_metro_en', 'property_usage_en', 'master_project_ar', 'no_of_parties_role_2', 'trans_group_ar', 'trans_group_id', 'building_name_ar', 'meter_rent_price', 'nearest_mall_en', 'property_type_en', 'procedure_name_en', 'project_number', 'trans_group_en', 'property_sub_type_id', 'property_type_id', 'reg_type_en', 'procedure_id', 'procedure_name_ar', 'procedure_area', 'property_usage_ar', 'rent_value', 'property_type_ar', 'project_name_en', 'reg_type_ar', 'project_name_ar', 'nearest_mall_ar', 'area_name_ar', 'no_of_parties_role_3', 'nearest_landmark_en', 'nearest_landmark_ar', 'building_name_en', 'rooms_ar', 'meter_sale_price', 'property_sub_type_en', 'master_project_en'}).

This happened while the csv dataset builder was generating data using

hf://datasets/viewit-ai/sobha/sobha_pulse.csv (at revision 60af42eb64644ab1e9dc70538ecd29699aa964da)

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 2011, 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
              transaction_id: string
              transaction_group: string
              procedure_name: string
              instance_date: string
              property_type: string
              property_usage: string
              reg_type: string
              area_name: string
              building_name: string
              project_name: string
              master_project: string
              nearest_landmark: string
              nearest_metro: string
              nearest_mall: string
              rooms: string
              has_parking: int64
              area: double
              sale_price: int64
              sale_per_meter: double
              rent_price: double
              rent_per_meter: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2860
              to
              {'transaction_id': Value(dtype='string', id=None), 'procedure_id': Value(dtype='int64', id=None), 'trans_group_id': Value(dtype='int64', id=None), 'trans_group_ar': Value(dtype='string', id=None), 'trans_group_en': Value(dtype='string', id=None), 'procedure_name_ar': Value(dtype='string', id=None), 'procedure_name_en': Value(dtype='string', id=None), 'instance_date': Value(dtype='string', id=None), 'property_type_id': Value(dtype='int64', id=None), 'property_type_ar': Value(dtype='string', id=None), 'property_type_en': Value(dtype='string', id=None), 'property_sub_type_id': Value(dtype='float64', id=None), 'property_sub_type_ar': Value(dtype='string', id=None), 'property_sub_type_en': Value(dtype='string', id=None), 'property_usage_ar': Value(dtype='string', id=None), 'property_usage_en': Value(dtype='string', id=None), 'reg_type_id': Value(dtype='int64', id=None), 'reg_type_ar': Value(dtype='string', id=None), 'reg_type_en': Value(dtype='string', id=None), 'area_id': Value(dtype='int64', id=None), 'area_name_ar': Value(dtype='string', id=None), 'area_name_en': Value(dtype='string', id=None), 'building_name_ar': Value(dtype='string', id=None), 'building_name_en': Value(dtype='string', id=None), 'project_number': Value(dtype='float64', id=None), 'project_name_ar': Value(dtype='string', id=None), 'project_name_en': Value(dtype='string', id=None), 'master_project_en': Value(dtype='string', id=None), 'master_project_ar': Value(dtype='string', id=None), 'nearest_landmark_ar': Value(dtype='string', id=None), 'nearest_landmark_en': Value(dtype='string', id=None), 'nearest_metro_ar': Value(dtype='string', id=None), 'nearest_metro_en': Value(dtype='string', id=None), 'nearest_mall_ar': Value(dtype='string', id=None), 'nearest_mall_en': Value(dtype='string', id=None), 'rooms_ar': Value(dtype='string', id=None), 'rooms_en': Value(dtype='string', id=None), 'has_parking': Value(dtype='int64', id=None), 'procedure_area': Value(dtype='float64', id=None), 'actual_worth': Value(dtype='float64', id=None), 'meter_sale_price': Value(dtype='float64', id=None), 'rent_value': Value(dtype='float64', id=None), 'meter_rent_price': Value(dtype='float64', id=None), 'no_of_parties_role_1': Value(dtype='float64', id=None), 'no_of_parties_role_2': Value(dtype='float64', id=None), 'no_of_parties_role_3': Value(dtype='float64', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 18 new columns ({'area_name', 'reg_type', 'property_type', 'nearest_mall', 'nearest_landmark', 'rooms', 'area', 'rent_per_meter', 'transaction_group', 'master_project', 'project_name', 'building_name', 'sale_price', 'property_usage', 'sale_per_meter', 'procedure_name', 'nearest_metro', 'rent_price'}) and 43 missing columns ({'area_name_en', 'area_id', 'reg_type_id', 'rooms_en', 'no_of_parties_role_1', 'nearest_metro_ar', 'property_sub_type_ar', 'actual_worth', 'nearest_metro_en', 'property_usage_en', 'master_project_ar', 'no_of_parties_role_2', 'trans_group_ar', 'trans_group_id', 'building_name_ar', 'meter_rent_price', 'nearest_mall_en', 'property_type_en', 'procedure_name_en', 'project_number', 'trans_group_en', 'property_sub_type_id', 'property_type_id', 'reg_type_en', 'procedure_id', 'procedure_name_ar', 'procedure_area', 'property_usage_ar', 'rent_value', 'property_type_ar', 'project_name_en', 'reg_type_ar', 'project_name_ar', 'nearest_mall_ar', 'area_name_ar', 'no_of_parties_role_3', 'nearest_landmark_en', 'nearest_landmark_ar', 'building_name_en', 'rooms_ar', 'meter_sale_price', 'property_sub_type_en', 'master_project_en'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/viewit-ai/sobha/sobha_pulse.csv (at revision 60af42eb64644ab1e9dc70538ecd29699aa964da)
              
              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)