mandresyandri/yolov8_biolit_crop
Object Detection • Updated
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 1904, 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1925, 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 0.64778 0.51672 0.45525 0.72102 |
1 0.64723 0.51589 0.45495 0.71884 |
1 0.66933 0.48435 0.20632 0.21605 |
0 0.49427 0.32458 0.10601 0.15325 |
1 0.59736 0.59629 0.08170 0.12782 |
1 0.49396 0.32469 0.10473 0.15294 |
1 0.27689 0.84762 0.08590 0.10419 |
0 0.61199 0.71353 0.25947 0.18452 |
1 0.35904 0.61019 0.20643 0.14940 |
1 0.55229 0.57290 0.18857 0.14480 |
1 0.61167 0.71282 0.25959 0.18394 |
1 0.59386 0.38943 0.10912 0.09342 |
1 0.48528 0.38547 0.11742 0.09799 |
1 0.25047 0.43572 0.18164 0.28498 |
1 0.81865 0.47018 0.13737 0.21556 |
1 0.52038 0.43132 0.14578 0.21051 |
1 0.61661 0.52653 0.10202 0.17183 |
1 0.39553 0.42991 0.11140 0.17665 |
1 0.41071 0.80404 0.08898 0.06627 |
1 0.42310 0.87726 0.12766 0.04825 |
1 0.42721 0.42667 0.18315 0.12929 |
1 0.72717 0.59872 0.54204 0.79555 |
0 0.50001 0.49985 0.99475 0.99852 |
0 0.36939 0.45226 0.23852 0.32901 |
1 0.36990 0.45264 0.23903 0.32682 |
1 0.87722 0.40386 0.10359 0.16201 |
1 0.32953 0.38391 0.47528 0.42701 |
0 0.50018 0.49949 0.99566 0.99838 |
1 0.70446 0.35578 0.08042 0.10939 |
1 0.54286 0.57803 0.08823 0.08753 |
1 0.26448 0.08372 0.09783 0.12799 |
0 0.50318 0.43586 0.73217 0.56725 |
1 0.50153 0.43272 0.72699 0.56043 |
1 0.55159 0.55786 0.40334 0.34282 |
0 0.50318 0.43586 0.73217 0.56725 |
1 0.50153 0.43272 0.72699 0.56043 |
0 0.45046 0.60390 0.83013 0.41685 |
1 0.45010 0.60405 0.82957 0.41802 |
0 0.50232 0.54501 0.99217 0.86921 |
1 0.50268 0.54578 0.99100 0.86683 |
0 0.51347 0.54949 0.78443 0.58346 |
1 0.51489 0.55041 0.79324 0.58387 |
1 0.52953 0.28187 0.29087 0.09550 |
1 0.13980 0.21037 0.27693 0.41181 |
0 0.50075 0.63772 0.28758 0.22787 |
1 0.50083 0.63751 0.28714 0.22757 |
0 0.29457 0.64588 0.36213 0.32956 |
1 0.29442 0.64556 0.36180 0.32965 |
1 0.84543 0.15703 0.30562 0.31374 |
0 0.78182 0.44911 0.34135 0.28925 |
1 0.35685 0.56857 0.70793 0.56678 |
1 0.35157 0.29373 0.41515 0.33015 |
1 0.16347 0.31198 0.32512 0.37676 |
1 0.49967 0.35258 0.99409 0.70255 |
0 0.16674 0.76508 0.33140 0.32036 |
1 0.46356 0.48657 0.66952 0.28603 |
0 0.44037 0.47392 0.87457 0.73340 |
1 0.43986 0.47855 0.87284 0.72942 |
0 0.50005 0.49978 0.99587 0.99711 |
1 0.49975 0.49604 0.99528 0.98920 |
0 0.53373 0.52197 0.60661 0.45480 |
1 0.53349 0.52165 0.60768 0.45529 |
1 0.70099 0.92722 0.17932 0.14255 |
0 0.52034 0.49534 0.36404 0.65677 |
1 0.52038 0.49491 0.36487 0.65609 |
1 0.56300 0.45262 0.46161 0.25753 |
1 0.45027 0.46444 0.48712 0.57218 |
0 0.67445 0.46195 0.64853 0.29316 |
1 0.67395 0.46168 0.64925 0.29385 |
1 0.63029 0.39481 0.34953 0.22124 |
1 0.31555 0.30587 0.31722 0.12483 |
1 0.53803 0.62745 0.56618 0.18692 |
0 0.53489 0.50480 0.56934 0.48647 |
1 0.53530 0.50532 0.56927 0.48849 |
0 0.50041 0.53947 0.99826 0.70522 |
1 0.50013 0.53882 0.99713 0.70633 |
0 0.51931 0.68012 0.77519 0.43086 |
1 0.51866 0.67974 0.77520 0.43049 |
0 0.60279 0.66592 0.53786 0.27050 |
1 0.60218 0.66482 0.53764 0.26790 |
0 0.48404 0.48205 0.89593 0.77429 |
1 0.48486 0.48135 0.89321 0.77350 |
1 0.29752 0.09996 0.45544 0.19929 |
1 0.48249 0.43721 0.89766 0.86451 |
1 0.63887 0.35151 0.71855 0.41986 |
1 0.50010 0.49943 0.99385 0.99382 |
1 0.49996 0.49855 0.99640 0.99491 |
0 0.50023 0.49937 0.99759 0.99864 |
1 0.49392 0.46159 0.41625 0.30226 |
0 0.50051 0.49938 0.99646 0.99857 |
0 0.48405 0.45719 0.36325 0.17762 |
1 0.48266 0.45685 0.36496 0.17793 |
0 0.49931 0.50449 0.99448 0.80084 |
1 0.49842 0.50643 0.99215 0.80245 |
0 0.50047 0.49924 0.99410 0.99722 |
1 0.16224 0.69471 0.32185 0.44394 |
1 0.51124 0.53774 0.17072 0.19292 |
1 0.56737 0.53861 0.28484 0.19539 |
0 0.45557 0.44829 0.36892 0.89599 |
1 0.45418 0.44832 0.36437 0.89275 |
No dataset card yet