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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'sampler_kwargs' 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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, 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 404, 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 'sampler_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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, 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 602, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, 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 'sampler_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 1529, 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 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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num_layers
dict
max_units
dict
batch_size
dict
learning_rate
dict
weight_decay
dict
momentum
dict
max_dropout
dict
epoch
dict
metric_elapsed_time
string
metric_default
string
resource_attr
string
objectives_names
sequence
task_names
sequence
{ "domain_cls": "Categorical", "domain_kwargs": { "categories": [ "True", "2", "3", "4" ] }, "sampler_cls": "Uniform", "sampler_kwargs": {} }
{ "domain_cls": "Integer", "domain_kwargs": { "lower": 64, "upper": 1024 }, "sampler_cls": "LogUniform", "sampler_kwargs": { "base": 2.718281828459045 } }
{ "domain_cls": "Integer", "domain_kwargs": { "lower": 16, "upper": 512 }, "sampler_cls": "LogUniform", "sampler_kwargs": { "base": 2.718281828459045 } }
{ "domain_cls": "Float", "domain_kwargs": { "lower": 0.0001, "upper": 0.1 }, "sampler_cls": "LogUniform", "sampler_kwargs": { "base": 2.718281828459045 } }
{ "domain_cls": "Float", "domain_kwargs": { "lower": 0.00001, "upper": 0.1 }, "sampler_cls": "Uniform", "sampler_kwargs": {} }
{ "domain_cls": "Float", "domain_kwargs": { "lower": 0.1, "upper": 0.99 }, "sampler_cls": "Uniform", "sampler_kwargs": {} }
{ "domain_cls": "Float", "domain_kwargs": { "lower": 0, "upper": 1 }, "sampler_cls": "Uniform", "sampler_kwargs": {} }
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{ "domain_cls": "Integer", "domain_kwargs": { "lower": 1, "upper": 50 }, "sampler_cls": "Uniform", "sampler_kwargs": {} }
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time
val_accuracy
epoch
[ "val_accuracy", "val_balanced_accuracy", "val_cross_entropy", "test_accuracy", "test_balanced_accuracy", "test_cross_entropy", "time" ]
[ "APSFailure", "Amazon_employee_access", "Australian", "Fashion-MNIST", "KDDCup09_appetency", "MiniBooNE", "adult", "airlines", "albert", "bank-marketing", "blood-transfusion-service-center", "car", "christine", "cnae-9", "connect-4", "covertype", "credit-g", "dionis", "fabert", "helena", "higgs", "jannis", "jasmine", "jungle_chess_2pcs_raw_endgame_complete", "kc1", "kr-vs-kp", "mfeat-factors", "nomao", "numerai28.6", "phoneme", "segment", "shuttle", "sylvine", "vehicle", "volkert" ]

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