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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 673, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1908, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 688, in finalize
self._build_writer(self.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1919, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
_data_files list | _fingerprint string | _format_columns null | _format_kwargs dict | _format_type null | _output_all_columns bool | _split null |
|---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | d1fc88477ef0c028 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | eb8f169d5766a92d | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 7f2ef0894bebc22e | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 3be18f180451d808 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 9b1d8469ebc0e375 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 9f2e4ca4dad10179 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | a5d887e3cff2d997 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | de23e4c115d68372 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 01c1e277f4dae7d1 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 58347567ca6c67eb | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 3c87becfc58cd4fc | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 89167fa9479f9bd5 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 7a44f73d2b2252cf | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 1b947943d32dc50f | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | da4b9daf2896581c | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | a77a8f97d7ee6ead | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 1c91ec47f0e3cd6f | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 968301b4f6fb5739 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | ea4ce65c8f07fb87 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 2822b00818eba337 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | faa487fb78e5cbc2 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 20f3cc80ac1f4a4b | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 9cfff5e6a90a3c18 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 456d274a3aabed6f | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | ce783352c581b2fe | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 48b2a00eacb14829 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 92fca90dc8961af4 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | b76e7b094215ce6d | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 734b29fc266353f4 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 3dd08ca28b494c1c | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 0963cd2628d82eef | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 86a9d4cf414fa2f3 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | c5930182dc84e925 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | c4b79055341422d3 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 72f064238ce6d149 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 8cc38788c9a4201d | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | cbb7634e347fd70e | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | d7d5536c95c14e1a | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 3940cb48693233ba | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 47f6166e1881faa4 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | dede43fe66e9fb0b | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 9072f9a439113c5f | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 4b76a03257cc6f81 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 01177e3009d638c4 | null | {} | null | false | null |
[
{
"filename": "data-00000-of-00001.arrow"
}
] | a49d390cde071943 | null | {} | null | false | null |
Reasoning Boosts Opinion Alignment in LLMs
Download and load with DataDict.load_from_disk.
Dataset fields
id: Identifier for the respondent / party / candidate (see lists below)question: Identifier for the questionquestion_text: The actual questionanswer: The answer to the respondent / party / candidate gave to the question.A = Yes,B = No,C = Neutral.answer_comment: The argument / comment used for SFT.political_position: The ideological group / party for this unit.
ANES respondents
'202400'
'205102'
'205881'
'206266'
'213653'
'217617'
'222954'
'223322'
'236175'
'307930'
'316330'
'316736'
'325822'
'326597'
'353353'
'361545'
'362906'
'409089'
'421621'
'430328'
'508160'
Wahl-o-Mat parties
'AfD', 'DIE LINKE', 'FDP', 'SPD', 'GRUENE', 'CDU'
smartvote candidates
54011
53959
53482
55930
56609
56775
54524
54349
54498
55378
55402
55401
55670
55787
55714
55045
55039
54865
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