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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'variables' with no child field to Parquet. Consider adding a dummy child field.
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 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'variables' 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'variables' 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 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 1897, 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.
prompt
string | context
string | options
sequence | variables
dict | items
null | data_file
null | data_row
null | question_type
string | option_order
dict | option_distribution
dict | is_speculative_inference
null | speculation_type
null | data
null | id
string | date
timestamp[us] | classification
string | metal
string | location
string | benchmark
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Please rank these styles of women's underwear in order of preference: | [
"Thong",
"Bikini",
"Hipster",
"Brief",
"Boyshort",
"G-string"
] | {} | null | null | null | ranking | {
"1": "Thong",
"2": "Bikini",
"3": "Hipster",
"4": "Brief",
"5": "Boyshort",
"6": "G-string"
} | {
"Bikini": {
"1": 0.30761338179526904,
"2": 0.44064083058711806,
"3": 0.162102702513709,
"4": 0.059634251613123,
"5": 0.021938215158113002,
"6": 0.008070618332665001
},
"Boyshort": {
"1": 0.007141464557048001,
"2": 0.019412513334008,
"3": 0.052768682240553005,
"4": 0.143440150046226,
"5": 0.389910753342095,
"6": 0.38732643648006904
},
"Brief": {
"1": 0.46706460707759806,
"2": 0.339164692113044,
"3": 0.12477171739963101,
"4": 0.045900949670977007,
"5": 0.016886015714197,
"6": 0.006212018024551001
},
"G-string": {
"1": 0.007729469082681001,
"2": 0.021010875351087,
"3": 0.057113480666880004,
"4": 0.155250536656826,
"5": 0.422014712652767,
"6": 0.336880925589756
},
"Hipster": {
"1": 0.060081745954457005,
"2": 0.163319118250095,
"3": 0.44394739137918904,
"4": 0.22129356439563203,
"5": 0.081409352804701,
"6": 0.029948827215922003
},
"Thong": {
"1": 0.026231605537386002,
"2": 0.071304896663582,
"3": 0.193826804880766,
"4": 0.47141415089405503,
"5": 0.173423574391215,
"6": 0.063798967632994
}
} | null | null | null | 7dde935a-f98b-4dd0-9d78-1bdb775698ef | 2028-03-25T20:16:00 | Great | Platinum | ConceptBench |
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