Datasets:

---

kidu14

/

House_Rent_Dataset

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 8 new columns ({'City_Chennai', 'floor_number', 'Area Type_Carpet Area', 'City_Hyderabad', 'City_Mumbai', 'Area Type_Super Area', 'City_Delhi', 'City_Kolkata'}) and 7 missing columns ({'Area Type', 'Point of Contact', 'Posted On', 'Floor', 'Tenant Preferred', 'City', 'Area Locality'}).

This happened while the csv dataset builder was generating data using

hf://datasets/kidu14/House_Rent_Dataset/cleaned_scaled_encoded_house_rent_data.csv (at revision 24c79dbd2ce20afb2a2c40dffb8d833c8f6b27a9)

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 623, 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
              BHK: double
              Rent: double
              Size: double
              Furnishing Status: int64
              Bathroom: double
              floor_number: double
              Area Type_Carpet Area: bool
              Area Type_Super Area: bool
              City_Chennai: bool
              City_Delhi: bool
              City_Hyderabad: bool
              City_Kolkata: bool
              City_Mumbai: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1825
              to
              {'Posted On': Value(dtype='string', id=None), 'BHK': Value(dtype='int64', id=None), 'Rent': Value(dtype='int64', id=None), 'Size': Value(dtype='int64', id=None), 'Floor': Value(dtype='string', id=None), 'Area Type': Value(dtype='string', id=None), 'Area Locality': Value(dtype='string', id=None), 'City': Value(dtype='string', id=None), 'Furnishing Status': Value(dtype='string', id=None), 'Tenant Preferred': Value(dtype='string', id=None), 'Bathroom': Value(dtype='int64', id=None), 'Point of Contact': 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 1438, 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 1050, 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 8 new columns ({'City_Chennai', 'floor_number', 'Area Type_Carpet Area', 'City_Hyderabad', 'City_Mumbai', 'Area Type_Super Area', 'City_Delhi', 'City_Kolkata'}) and 7 missing columns ({'Area Type', 'Point of Contact', 'Posted On', 'Floor', 'Tenant Preferred', 'City', 'Area Locality'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/kidu14/House_Rent_Dataset/cleaned_scaled_encoded_house_rent_data.csv (at revision 24c79dbd2ce20afb2a2c40dffb8d833c8f6b27a9)
              
              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)