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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'flags' 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 'flags' 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 'flags' 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 1438, 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 1050, 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.
version string | flags dict | shapes list | lineColor sequence | fillColor sequence | imagePath string | imageData string | imageHeight int64 | imageWidth int64 |
|---|---|---|---|---|---|---|---|---|
3.16.0 | {} | [
{
"label": "ship-1",
"line_color": null,
"fill_color": null,
"points": [
[
226.66666666666669,
72
],
[
224.33333333333331,
57.666666666666664
],
[
227.33333333333331,
48
],
[
235,
49.66666666666... | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000001.jpg | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFDAaADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | 323 | 416 |
3.16.0 | {} | [
{
"label": "ship-1",
"line_color": null,
"fill_color": null,
"points": [
[
211.51439299123905,
162.70337922403004
],
[
215.01877346683352,
158.69837296620776
],
[
226.65832290362954,
157.07133917396746
],
[
... | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000002.jpg | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAFjAfUDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | 355 | 501 |
3.16.0 | {} | [
{
"label": "ship-1",
"line_color": null,
"fill_color": null,
"points": [
[
84.33734939759036,
181.9277108433735
],
[
89.4578313253012,
176.80722891566265
],
[
96.68674698795179,
178.01204819277106
],
[
... | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000003.jpg | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAGTAfQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | 403 | 500 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[165.91478696741854,141.35338345864(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000004.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 332 | 502 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[170.0956937799043,199.521531100478(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000005.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 317 | 420 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[101.8878504672897,168.280373831775(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000006.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 357 | 501 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[300.82312925170066,206.80272108843(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000007.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 322 | 417 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[196.31788079470198,266.55629139072(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000008.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 313 | 404 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[139.85714285714286,98.376623376623(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000009.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 307 | 401 |
3.16.0 | {} | [{"label":"ship-1","line_color":null,"fill_color":null,"points":[[238.24657534246575,123.63013698630(...TRUNCATED) | [
0,
255,
0,
128
] | [
255,
0,
0,
128
] | 000010.jpg | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | 324 | 441 |
End of preview.
To cite the dataset please reference it as
@INPROCEEDINGS{8124934,
author={Li, Jianwei and Qu, Changwen and Shao, Jiaqi},
booktitle={2017 SAR in Big Data Era: Models, Methods and Applications (BIGSARDATA)},
title={Ship detection in SAR images based on an improved faster R-CNN},
year={2017},
volume={},
number={},
pages={1-6},
keywords={Marine vehicles;Feature extraction;Synthetic aperture radar;Proposals;Detectors;Image resolution;Deep learning;SAR;ship detection;Faster R-CNN},
doi={10.1109/BIGSARDATA.2017.8124934}}
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