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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'margin_calibration' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
~~~~~~~~~~~~~~~~^
self.stream,
^^^^^^^^^^^^
...<9 lines>...
},
^^
)
^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
~~~~~~~~~~~~~~~~~~~~~~^
sink, schema,
^^^^^^^^^^^^^
...<18 lines>...
store_decimal_as_integer=store_decimal_as_integer,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**options)
^^^^^^^^^^
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
raise convert_status(status)
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'margin_calibration' 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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.
n_pairs int64 | n_judgments int64 | parse_rate float64 | step_compliance float64 | swap_invariance float64 | self_consistency float64 | length_bias float64 | n_length_pairs int64 | n_labelled int64 | n_labelled_clear int64 | clear_agreement null | boundary_agreement null | overall_agreement null | margin_calibration dict | gate_results dict | passed bool | failed_gates list | warning string | rubric_version string | protocol_version string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25 | 150 | 1 | 1 | 0.4 | 0.693333 | 0.055902 | 22 | 0 | 0 | null | null | null | {} | {
"swap_invariance": {
"value": 0.4,
"threshold": 0.9,
"kind": "min",
"passed": false
},
"self_consistency": {
"value": 0.693,
"threshold": 0.7,
"kind": "min",
"passed": false
},
"length_bias": {
"value": 0.056,
"threshold": 0.3,
"kind": "max",
"passed": true
... | false | [
"swap_invariance",
"self_consistency"
] | no human labels matched these pairs — clear_agreement, the load-bearing check, was not evaluated. Fill docs/human_label/labels.json before trusting this pass. | v0_seed | v1 |
150 | 600 | 1 | 1 | 0.273333 | 0.728333 | 0.008783 | 110 | 0 | 0 | null | null | null | {} | {
"swap_invariance": {
"value": 0.273,
"threshold": 0.9,
"kind": "min",
"passed": false
},
"self_consistency": {
"value": 0.728,
"threshold": 0.7,
"kind": "min",
"passed": true
},
"length_bias": {
"value": 0.009,
"threshold": 0.3,
"kind": "max",
"passed": true
... | false | [
"swap_invariance"
] | no human labels matched these pairs — clear_agreement, the load-bearing check, was not evaluated. Fill docs/human_label/labels.json before trusting this pass. | v1_from_labels | v2 |
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