Datasets:

---

lemoninabag

/

Rentals

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 6 new columns ({'lowPrice', 'confidence', 'building_name_en', 'highPrice', 'dataPointsUsed', 'predictionDate'}) and 29 missing columns ({'nearest_metro_en', 'contract_reg_type_id', 'ejari_bus_property_type_en', 'ejari_property_sub_type_id', 'property_usage_en', 'ejari_property_type_id', 'ejari_bus_property_type_id', 'is_free_hold', 'contract_amount', 'ejari_property_sub_type_en', 'no_of_prop', 'contract_start_date', 'actual_area', 'annual_amount', 'project_name', 'area_id', 'project_name_en', 'nearest_landmark_en', 'line_number', 'master_project_en', 'contract_end_date', 'tenant_type_en', 'contract_reg_type_en', 'tenant_type_id', 'ejari_property_type_en', 'project_number', 'area_name_en', 'contract_id', 'nearest_mall_en'}).

This happened while the csv dataset builder was generating data using

hf://datasets/lemoninabag/Rentals/predicted_price_ranges2.csv (at revision f9d077b271f5be68b224f344cce64a6fd0b850cf)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              building_name_en: string
              rooms_en: string
              lowPrice: double
              highPrice: double
              confidence: double
              predictionDate: string
              dataPointsUsed: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1121
              to
              {'contract_id': Value(dtype='string', id=None), 'contract_reg_type_id': Value(dtype='int64', id=None), 'contract_reg_type_en': Value(dtype='string', id=None), 'contract_start_date': Value(dtype='string', id=None), 'contract_end_date': Value(dtype='string', id=None), 'contract_amount': Value(dtype='int64', id=None), 'annual_amount': Value(dtype='int64', id=None), 'no_of_prop': Value(dtype='int64', id=None), 'line_number': Value(dtype='int64', id=None), 'is_free_hold': Value(dtype='float64', id=None), 'ejari_bus_property_type_id': Value(dtype='float64', id=None), 'ejari_bus_property_type_en': Value(dtype='string', id=None), 'ejari_property_type_id': Value(dtype='float64', id=None), 'ejari_property_type_en': Value(dtype='string', id=None), 'ejari_property_sub_type_id': Value(dtype='string', id=None), 'ejari_property_sub_type_en': Value(dtype='string', id=None), 'property_usage_en': Value(dtype='string', id=None), 'project_number': Value(dtype='float64', id=None), 'project_name_en': Value(dtype='string', id=None), 'master_project_en': Value(dtype='string', id=None), 'area_id': Value(dtype='float64', id=None), 'area_name_en': Value(dtype='string', id=None), 'actual_area': Value(dtype='float64', id=None), 'nearest_landmark_en': Value(dtype='string', id=None), 'nearest_metro_en': Value(dtype='string', id=None), 'nearest_mall_en': Value(dtype='string', id=None), 'tenant_type_id': Value(dtype='float64', id=None), 'tenant_type_en': Value(dtype='string', id=None), 'project_name': Value(dtype='string', id=None), 'rooms_en': 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 1420, 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 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 6 new columns ({'lowPrice', 'confidence', 'building_name_en', 'highPrice', 'dataPointsUsed', 'predictionDate'}) and 29 missing columns ({'nearest_metro_en', 'contract_reg_type_id', 'ejari_bus_property_type_en', 'ejari_property_sub_type_id', 'property_usage_en', 'ejari_property_type_id', 'ejari_bus_property_type_id', 'is_free_hold', 'contract_amount', 'ejari_property_sub_type_en', 'no_of_prop', 'contract_start_date', 'actual_area', 'annual_amount', 'project_name', 'area_id', 'project_name_en', 'nearest_landmark_en', 'line_number', 'master_project_en', 'contract_end_date', 'tenant_type_en', 'contract_reg_type_en', 'tenant_type_id', 'ejari_property_type_en', 'project_number', 'area_name_en', 'contract_id', 'nearest_mall_en'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/lemoninabag/Rentals/predicted_price_ranges2.csv (at revision f9d077b271f5be68b224f344cce64a6fd0b850cf)
              
              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)