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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'shape' 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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 642, 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 457, 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 'shape' 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 1847, 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 661, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 457, 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 'shape' 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1858, 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.
pythonClassName
string | featuresDict
dict |
|---|---|
tensorflow_datasets.core.features.features_dict.FeaturesDict
|
{
"features": {
"steps": {
"pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
"sequence": {
"feature": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"is_terminal": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {},
"dtype": "bool",
"encoding": "none"
}
},
"action": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"15"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Robot action, consists of [7x joint velocities, 3x EE delta xyz, 3x EE delta rpy, 1x gripper position, 1x terminate episode]."
},
"reward": {
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
"shape": {},
"dtype": "float32",
"encoding": "none"
},
"description": "Reward if provided, 1 on final step for demos."
},
"observation": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"depth_additional_view": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"128",
"128",
"1"
]
},
"dtype": "int32",
"encoding": "none"
},
"description": "Left camera depth observation."
},
"state": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"13"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Robot state, consists of [7x robot joint angles, 3x EE xyz, 3x EE rpy."
},
"image": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"128",
"128",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "png"
},
"description": "Right camera RGB observation."
},
"depth": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"128",
"128",
"1"
]
},
"dtype": "int32",
"encoding": "none"
},
"description": "Right camera depth observation."
},
"image_additional_view": {
"pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
"image": {
"shape": {
"dimensions": [
"128",
"128",
"3"
]
},
"dtype": "uint8",
"encodingFormat": "png"
},
"description": "Left camera RGB observation."
}
}
}
},
"discount": {
"pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
"tensor": {
"shape": {},
"dtype": "float32",
"encoding": "none"
},
"description": "Discount if provided, default to 1."
},
"language_embedding": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {
"dimensions": [
"512"
]
},
"dtype": "float32",
"encoding": "none"
},
"description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5"
},
"is_last": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {},
"dtype": "bool",
"encoding": "none"
}
},
"language_instruction": {
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {},
"description": "Language Instruction."
},
"is_first": {
"pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
"tensor": {
"shape": {},
"dtype": "bool",
"encoding": "none"
}
}
}
}
},
"length": "-1"
}
},
"episode_metadata": {
"pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
"featuresDict": {
"features": {
"file_path": {
"pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
"text": {},
"description": "Path to the original data file."
}
}
}
}
}
}
|
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