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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1811, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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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text
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0 0.956308 0.223611 0.087384 0.186111
0 0.853530 0.268981 0.216667 0.202778
0 0.709086 0.305556 0.316667 0.272222
0 0.605845 0.262963 0.365741 0.335185
0 0.608160 0.276389 0.370370 0.339815
0 0.605382 0.265278 0.362963 0.341667
0 0.599363 0.268981 0.378704 0.332407
0 0.596123 0.274537 0.387037 0.341667
0 0.614641 0.267593 0.357407 0.335185
0 0.525289 0.436111 0.210185 0.187037
0 0.391956 0.571296 0.223148 0.177778
0 0.074363 0.187963 0.148727 0.246296
0 0.872512 0.301389 0.171296 0.241667
0 0.698438 0.432407 0.162037 0.231481
0 0.546123 0.532407 0.188889 0.250000
0 0.368345 0.619907 0.194444 0.258333
0 0.258623 0.623611 0.182407 0.250926
0 0.374826 0.117593 0.075926 0.074074
0 0.249363 0.311574 0.069444 0.069444
0 0.175752 0.493981 0.074074 0.069444
0 0.083623 0.668981 0.073148 0.073148
0 0.716956 0.243519 0.243519 0.161111
0 0.521123 0.610185 0.214815 0.155556
0 0.518808 0.056944 0.200926 0.112037
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0 0.098437 0.630093 0.196875 0.226852
0 0.969271 0.812963 0.061458 0.355556
0 0.957234 0.793056 0.085532 0.360185
0 0.946123 0.805556 0.107755 0.364815
0 0.950289 0.798611 0.099421 0.387963
0 0.939641 0.805556 0.120718 0.359259
0 0.903067 0.781019 0.193866 0.365741
0 0.631308 0.800000 0.264815 0.279630
0 0.703530 0.086574 0.131481 0.139815
0 0.380382 0.234722 0.127778 0.132407
0 0.367419 0.208333 0.227778 0.181481
0 0.589178 0.620370 0.289815 0.262963
0 0.732697 0.753704 0.310185 0.287037
0 0.630382 0.044907 0.181481 0.089815
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0 0.196586 0.703704 0.169444 0.185185
0 0.411400 0.036574 0.080556 0.062037
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0 0.180382 0.280093 0.064815 0.062037
0 0.265567 0.288889 0.151852 0.135185
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0 0.970197 0.085185 0.059606 0.111111
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0 0.855382 0.911574 0.101852 0.110185
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0 0.436400 0.422222 0.125000 0.103704
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0 0.892882 0.181944 0.132407 0.163889
0 0.770660 0.924537 0.234259 0.150926
0 0.234086 0.915278 0.118519 0.137963
0 0.155845 0.212037 0.100926 0.116667
0 0.936863 0.625463 0.090741 0.130556
0 0.133623 0.648611 0.086111 0.087963
0 0.469271 0.678704 0.107407 0.096296
0 0.374363 0.690741 0.097222 0.120370
0 0.945197 0.359722 0.107407 0.110185
End of preview.

FishingROV: scallop_lr_teacher_640

This dataset is an optimized derivative format generated for the FishingROV edge inference pipeline.

3. Required Boilerplate for Hugging Face Cards

Attribution & License

This dataset is a derivative work based on the University of St Andrews King Scallop dataset.

In accordance with the original dataset's terms, this derivative work is released under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. You are free to share and adapt this material, provided you give appropriate credit to the original authors and indicate if changes were made.

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