Datasets:

---

lemoninabag

/

Transactions

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 ({'Unnamed: 0'})

This happened while the csv dataset builder was generating data using

hf://datasets/lemoninabag/Transactions/Transactions7.csv (at revision b96f5ecb3bf413c1963a83add5970426a15e74b6)

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
              Unnamed: 0: int64
              transaction_id: string
              procedure_id: int64
              trans_group_id: int64
              trans_group_en: string
              procedure_name_en: string
              instance_date: string
              property_type_id: int64
              property_type_en: string
              property_sub_type_id: int64
              property_sub_type_en: string
              property_usage_en: string
              reg_type_id: int64
              reg_type_en: string
              area_id: int64
              area_name_en: string
              building_name_en: string
              project_number: double
              project_name_en: string
              master_project_en: string
              nearest_landmark_en: string
              nearest_metro_en: string
              nearest_mall_en: string
              rooms_en: string
              has_parking: int64
              procedure_area: int64
              actual_worth: int64
              meter_sale_price: double
              rent_value: double
              meter_rent_price: double
              no_of_parties_role_1: int64
              no_of_parties_role_2: int64
              no_of_parties_role_3: int64
              project_name: string
              developer: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4736
              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_en': 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_en': Value(dtype='string', id=None), 'property_sub_type_id': Value(dtype='int64', id=None), 'property_sub_type_en': Value(dtype='string', id=None), 'property_usage_en': Value(dtype='string', id=None), 'reg_type_id': Value(dtype='int64', id=None), 'reg_type_en': Value(dtype='string', id=None), 'area_id': Value(dtype='int64', id=None), 'area_name_en': Value(dtype='string', id=None), 'building_name_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), 'nearest_landmark_en': Value(dtype='string', id=None), 'nearest_metro_en': Value(dtype='string', id=None), 'nearest_mall_en': Value(dtype='string', id=None), 'rooms_en': Value(dtype='string', id=None), 'has_parking': Value(dtype='int64', id=None), 'procedure_area': Value(dtype='int64', id=None), 'actual_worth': Value(dtype='int64', 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='int64', id=None), 'no_of_parties_role_2': Value(dtype='int64', id=None), 'no_of_parties_role_3': Value(dtype='int64', id=None), 'project_name': Value(dtype='string', id=None), 'developer': 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 1 new columns ({'Unnamed: 0'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/lemoninabag/Transactions/Transactions7.csv (at revision b96f5ecb3bf413c1963a83add5970426a15e74b6)
              
              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)