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The dataset generation failed because of a cast error
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 ({'topics'}) and 3 missing columns ({'Response Reference', 'Object to or Support application', 'Response text'}).

This happened while the csv dataset builder was generating data using

hf://datasets/seanpedrickcase/dummy_development_consultation/example_zero_shot.csv (at revision 32e0549648f1f9e91d242b2c2d87264b370703b4)

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
              topics: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 372
              to
              {'Response Reference': Value(dtype='string', id=None), 'Object to or Support application': Value(dtype='string', id=None), 'Response text': 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 1417, 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 1049, 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 ({'topics'}) and 3 missing columns ({'Response Reference', 'Object to or Support application', 'Response text'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/seanpedrickcase/dummy_development_consultation/example_zero_shot.csv (at revision 32e0549648f1f9e91d242b2c2d87264b370703b4)
              
              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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Response Reference
string
Object to or Support application
string
Response text
string
R1
Object
I strongly object to the proposed five-storey apartment block on Main Street. It is completely out of keeping with the existing character of the area and will overshadow the existing buildings.
R2
Support
I fully support the proposed development. The town needs more housing, and this development will provide much-needed homes.
R3
Object
The proposed development is too tall and will have a negative impact on the views from the surrounding area.
R4
Object
The loss of the well-loved cafe will be a great loss to the community.
R5
Support
The development will bring much-needed investment to the area and create jobs.
R6
Object
The increased traffic generated by the development will cause congestion on Main Street.
R7
Support
The development will provide much-needed affordable housing.
R8
Object
The development will have a negative impact on the local environment.
R9
Support
The development will improve the appearance of Main Street.
R10
Object
The development will overshadow the existing buildings and make them feel cramped.
R11
Support
The development will provide much-needed amenities for the local community.
R12
Object
The development will have a negative impact on the local wildlife.
R13
Support
The development will help to revitalise the town centre.
R14
Object
The development will increase noise pollution in the area.
R15
Support
The development will provide much-needed parking spaces.
R16
Object
The development will have a negative impact on the local businesses.
R17
Support
The development will provide much-needed green space.
R18
Object
The development will have a negative impact on the local heritage.
R19
Support
The development will provide much-needed facilities for young people.
R20
Object
The development will have a negative impact on the local schools.
R21
Support
The development will provide much-needed social housing.
R22
Object
The development will have a negative impact on the local infrastructure.
R23
Support
The development will provide much-needed jobs for local people.
R24
Object
The development will have a negative impact on the local economy.
R25
Support
The development will provide much-needed community facilities.
R26
Object
The development will have a negative impact on the local amenities.
R27
Support
The development will provide much-needed housing for young people.
R28
Object
The development will have a negative impact on the local character.
R29
Support
The development will provide much-needed housing for families.
R30
Object
The development will have a negative impact on the local quality of life.
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