Roszczyk/Infrared_Bird_Detection
Updated
Error code: DatasetGenerationError
Exception: IndexError
Message: list index out of range
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1859, 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 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.
text string |
|---|
0 0.236979 0.902344 0.463542 0.195312 |
0 0.239583 0.865234 0.427083 0.269531 |
0 0.497396 0.886719 0.703125 0.226562 |
0 0.354167 0.939453 0.635417 0.121094 |
0 0.315104 0.931641 0.151042 0.121094 |
0 0.562500 0.935547 0.197917 0.113281 |
0 0.411458 0.820312 0.479167 0.343750 |
0 0.598958 0.816406 0.468750 0.367188 |
0 0.364583 0.796875 0.729167 0.406250 |
0 0.575521 0.855469 0.619792 0.289062 |
0 0.213542 0.814453 0.302083 0.371094 |
0 0.351562 0.871094 0.421875 0.234375 |
0 0.169271 0.832031 0.338542 0.195312 |
0 0.268229 0.835938 0.421875 0.320312 |
0 0.205729 0.818359 0.401042 0.308594 |
0 0.208333 0.806641 0.333333 0.386719 |
0 0.523438 0.837891 0.473958 0.300781 |
0 0.445312 0.949219 0.203125 0.101562 |
0 0.322917 0.867188 0.208333 0.171875 |
0 0.197917 0.841797 0.395833 0.316406 |
0 0.140625 0.826172 0.270833 0.324219 |
0 0.283854 0.933594 0.432292 0.132812 |
0 0.322917 0.816406 0.364583 0.367188 |
0 0.169271 0.867188 0.338542 0.265625 |
0 0.283854 0.892578 0.182292 0.152344 |
0 0.343750 0.820312 0.458333 0.359375 |
0 0.203125 0.904297 0.406250 0.191406 |
0 0.348958 0.839844 0.489583 0.320312 |
0 0.231771 0.857422 0.463542 0.285156 |
0 0.489583 0.876953 0.593750 0.246094 |
0 0.390625 0.822266 0.781250 0.355469 |
0 0.500000 0.929688 0.218750 0.132812 |
0 0.221354 0.880859 0.432292 0.238281 |
0 0.263021 0.914062 0.192708 0.125000 |
0 0.242188 0.894531 0.463542 0.210938 |
0 0.533854 0.904297 0.494792 0.191406 |
0 0.570312 0.830078 0.442708 0.332031 |
0 0.182292 0.857422 0.364583 0.285156 |
0 0.523438 0.878906 0.890625 0.242188 |
0 0.252604 0.898438 0.130208 0.132812 |
0 0.174479 0.890625 0.328125 0.218750 |
0 0.221354 0.828125 0.442708 0.218750 |
0 0.429688 0.896484 0.140625 0.113281 |
0 0.164062 0.871094 0.317708 0.257812 |
0 0.398438 0.869141 0.619792 0.261719 |
0 0.731771 0.914062 0.192708 0.101562 |
0 0.375000 0.843750 0.739583 0.312500 |
0 0.270833 0.943359 0.354167 0.113281 |
0 0.174479 0.865234 0.328125 0.269531 |
0 0.533854 0.833984 0.380208 0.207031 |
0 0.299479 0.802734 0.401042 0.378906 |
0 0.375000 0.925781 0.156250 0.148438 |
0 0.395833 0.937500 0.218750 0.125000 |
0 0.554688 0.919922 0.213542 0.136719 |
0 0.234375 0.878906 0.145833 0.156250 |
0 0.229167 0.867188 0.447917 0.265625 |
0 0.528646 0.875000 0.473958 0.242188 |
0 0.401042 0.861328 0.458333 0.277344 |
0 0.184896 0.875000 0.369792 0.187500 |
0 0.182292 0.876953 0.354167 0.246094 |
0 0.239583 0.949219 0.427083 0.101562 |
0 0.177083 0.947266 0.343750 0.105469 |
0 0.583333 0.851562 0.593750 0.296875 |
0 0.200521 0.820312 0.380208 0.359375 |
0 0.583333 0.886719 0.604167 0.226562 |
0 0.450521 0.917969 0.776042 0.164062 |
0 0.617188 0.892578 0.161458 0.128906 |
0 0.335938 0.855469 0.453125 0.289062 |
0 0.164062 0.785156 0.328125 0.406250 |
0 0.406250 0.832031 0.645833 0.335938 |
0 0.203125 0.814453 0.343750 0.371094 |
0 0.208333 0.917969 0.416667 0.164062 |
0 0.179688 0.906250 0.359375 0.187500 |
0 0.486979 0.859375 0.671875 0.281250 |
0 0.195312 0.867188 0.380208 0.265625 |
0 0.640625 0.833984 0.427083 0.332031 |
0 0.239583 0.919922 0.437500 0.160156 |
0 0.442708 0.845703 0.385417 0.253906 |
0 0.406250 0.951172 0.187500 0.097656 |
0 0.096354 0.958984 0.171875 0.082031 |
0 0.192708 0.884766 0.375000 0.230469 |
0 0.341146 0.785156 0.682292 0.312500 |
0 0.510417 0.826172 0.406250 0.214844 |
0 0.203125 0.931641 0.197917 0.113281 |
0 0.432292 0.906250 0.468750 0.187500 |
0 0.414062 0.867188 0.671875 0.265625 |
0 0.692708 0.800781 0.281250 0.320312 |
0 0.505208 0.820312 0.312500 0.265625 |
0 0.437500 0.878906 0.500000 0.242188 |
0 0.664062 0.927734 0.255208 0.144531 |
0 0.307292 0.794922 0.447917 0.410156 |
0 0.505208 0.878906 0.614583 0.242188 |
0 0.494792 0.894531 0.562500 0.210938 |
0 0.531250 0.871094 0.687500 0.257812 |
0 0.630208 0.931641 0.302083 0.136719 |
0 0.625000 0.951172 0.187500 0.097656 |
0 0.289062 0.912109 0.130208 0.089844 |
0 0.505208 0.949219 0.218750 0.101562 |
0 0.171875 0.867188 0.343750 0.265625 |
0 0.171875 0.890625 0.343750 0.218750 |
Dataset created using Intel Geti. This dataset was created while working on Master thesis at Warsaw University of Technology. Code and more additional info about the project is available here: DecisionSystemFeeder.
The model based on YOLO trained on this dataset using Intel Geti was published here: Infrared_Bird_Detection