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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'families_failed' 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 1869, 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 1082, in __init__
self.writer = _parquet.ParquetWriter(
~~~~~~~~~~~~~~~~~~~~~~^
sink, schema,
^^^^^^^^^^^^^
...<20 lines>...
max_rows_per_page=max_rows_per_page,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**options)
^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2374, 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 'families_failed' 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 1694, 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 1880, 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.
dpf_root string | window_frames int64 | iid_frame_stride int64 | z_tail_start int64 | null_samples int64 | seed int64 | observables list | odd_features list | n_features int64 | reversal_prob float64 | families_scanned list | families_failed dict | train_families list | test_families list | cells list | contamination dict | recommendation dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A:\ATLAS DATA\ATLAS_downloads\DPF | 9 | 4 | 4,000 | 2,000 | 0 | [
"Rg",
"RMSD_first",
"Q_native",
"PC1",
"PC2"
] | [
"legendre1",
"legendre3",
"var_drift",
"rough_asym",
"argmax_argmin"
] | 25 | 0.5 | [
"1bzy_A",
"1ekf_A",
"1fpo_A",
"1fx7_A",
"1i58_A",
"1i6j_A",
"1jg6_A",
"1jmk_O",
"1k4k_A",
"1pqu_A",
"1q8r_A",
"1se4_A",
"1sul_B",
"1tyz_C",
"1w2f_A",
"1x54_A",
"1y57_A",
"1yfq_A",
"1zah_A",
"2dve_A",
"2e2d_A",
"2eb6_A",
"2hlq_A",
"2oa9_A",
"2qos_C",
"2x26_A",
"2x8... | {} | [
"1bzy_A",
"1fpo_A",
"1i58_A",
"1jg6_A",
"1k4k_A",
"1q8r_A",
"1sul_B",
"1w2f_A",
"1y57_A",
"1zah_A",
"2e2d_A",
"2hlq_A",
"2qos_C",
"2x8m_A",
"2y8w_A",
"2z8i_B",
"3cc1_A",
"3enb_A",
"3gmu_B",
"3h8k_A",
"3jva_A",
"3n9s_A",
"3r5x_A",
"3vpd_A",
"3zwq_A",
"4c5j_A",
"4ix... | [
"1ekf_A",
"1fx7_A",
"1i6j_A",
"1jmk_O",
"1pqu_A",
"1se4_A",
"1tyz_C",
"1x54_A",
"1yfq_A",
"2dve_A",
"2eb6_A",
"2oa9_A",
"2x26_A",
"2xrl_A",
"2z3v_A",
"2zos_B",
"3cr6_A",
"3gea_A",
"3gqz_A",
"3hhp_A",
"3kro_D",
"3p8t_A",
"3r8r_A",
"3vzb_A",
"4bym_A",
"4iwb_A",
"4kk... | [
{
"start_bin": "0-100",
"bin_lo": 0,
"step": 1,
"n_windows_independent": 3900,
"n_train": 1950,
"n_test": 1950,
"n_emitted": 7500,
"accuracy": 0.6143589743589744,
"separation": 0.6143589743589744,
"null_q99": 0.5302564102564102,
"status": "arrowed",
"strength": 0.2287... | {
"shipped_default": {
"min_start": 100,
"max_step": 64,
"contamination": 0.010306886249790976,
"n_eligible_cells": 42,
"n_arrowed_eligible": 14,
"n_unestimable_eligible": 0,
"max_strength_eligible": 0.72,
"emit_share_eligible": 0.7292992270572661
},
"ungated": {
"min_start": 0... | {
"gate": {
"min_start": 1000,
"max_step": 64
},
"certified": true,
"flag": "--time_reversal_min_start 1000 --time_reversal_max_step 64",
"reason": "contamination 0.0049 <= 0.01, max arrowed strength 0.160 <= 0.25, keeps 66.2% of windows eligible",
"grid": [
{
"min_start": 0,
"max_st... |
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