Datasets:

---

raimbekovm

/

astana-real-estate

like 1

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 7 new columns ({'price_kzt', 'city', 'building_type', 'price_per_m2_usd', 'flooring', 'kitchen_area_m2', 'total_area_m2'}) and 17 missing columns ({'heating', 'house_type', 'internet', 'source', 'is_active', 'floor_type', 'kitchen_area', 'offer_type', 'price_per_m2', 'updated_at', 'living_area', 'building_series', 'area', 'price_local', 'id', 'documents', 'residential_complex_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/raimbekovm/astana-real-estate/listings.csv (at revision 110e1274cacfe4849dbde892aa7ff7e5826da5a7)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              listing_id: int64
              url: string
              city: string
              price_kzt: int64
              price_usd: int64
              price_per_m2_usd: int64
              rooms: int64
              total_area_m2: double
              kitchen_area_m2: double
              floor: double
              total_floors: double
              ceiling_height: double
              building_type: string
              year_built: int64
              condition: string
              bathroom: string
              balcony: string
              parking: string
              furniture: string
              flooring: string
              security: string
              residential_complex_name: string
              address: string
              district: string
              latitude: double
              longitude: double
              parsed_at: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3470
              to
              {'id': Value('int64'), 'listing_id': Value('int64'), 'url': Value('string'), 'source': Value('string'), 'residential_complex_id': Value('float64'), 'residential_complex_name': Value('string'), 'rooms': Value('int64'), 'area': Value('float64'), 'living_area': Value('float64'), 'kitchen_area': Value('float64'), 'floor': Value('float64'), 'total_floors': Value('float64'), 'price_usd': Value('int64'), 'price_local': Value('int64'), 'price_per_m2': Value('int64'), 'house_type': Value('string'), 'year_built': Value('int64'), 'building_series': Value('float64'), 'ceiling_height': Value('float64'), 'condition': Value('string'), 'bathroom': Value('string'), 'balcony': Value('string'), 'parking': Value('string'), 'furniture': Value('string'), 'floor_type': Value('string'), 'heating': Value('float64'), 'security': Value('string'), 'internet': Value('float64'), 'documents': Value('float64'), 'offer_type': Value('float64'), 'address': Value('string'), 'district': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'parsed_at': Value('string'), 'updated_at': Value('string'), 'is_active': Value('int64')}
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 7 new columns ({'price_kzt', 'city', 'building_type', 'price_per_m2_usd', 'flooring', 'kitchen_area_m2', 'total_area_m2'}) and 17 missing columns ({'heating', 'house_type', 'internet', 'source', 'is_active', 'floor_type', 'kitchen_area', 'offer_type', 'price_per_m2', 'updated_at', 'living_area', 'building_series', 'area', 'price_local', 'id', 'documents', 'residential_complex_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/raimbekovm/astana-real-estate/listings.csv (at revision 110e1274cacfe4849dbde892aa7ff7e5826da5a7)
              
              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)