Datasets:

foreverCuSO4
/

Dart_LENs_mixed

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 1848, 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 1683, 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 1869, 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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End of preview.

Anti-Dart Detection Traditional Data

This dataset repository contains local anti-dart light detection data for YOLO-style object detection.

raw/: source videos and the original archived dataset.
extracted/anti-dart-new-lens-0616-ft-v2/: YOLO dataset generated from the 2026-06-16 new-lens data.
extracted/anti-dart-new-lens-0626-ft-v1/: YOLO dataset generated from the 2026-06-26 new-lens data.

Each extracted dataset contains:

data.yaml: YOLO dataset configuration.
manifest.csv: source/output mapping and per-image object metadata.
images/{train,val,test}/: image files.
labels/{train,val,test}/: YOLO label files.

Labels

The object classes are:

ID	Name
0	red
1	blue

Splits

Dataset	Train	Val	Test	Total
`anti-dart-new-lens-0616-ft-v2`	1600	134	136	1870
`anti-dart-new-lens-0626-ft-v1`	1573	132	134	1839
Total	3173	266	270	3709

Usage

Use either extracted dataset by pointing a YOLO training command at its data.yaml file:

yolo detect train data=extracted/anti-dart-new-lens-0626-ft-v1/data.yaml model=yolov8n.pt

The dataset configs use relative paths, so they should work after cloning the repository.

Uploading To Hugging Face

This directory is prepared as a Hugging Face dataset repository. After logging in and creating a dataset repository on the Hub, upload it from this directory:

hf auth login
hf upload <namespace>/<dataset-name> . . --repo-type dataset

For git-based uploads, install Git LFS first so the large media files are stored correctly.

Downloads last month: 2,098

Total file size:

365 MB

Anti-Dart Detection Traditional Data

Contents

Labels

Splits

Usage

Uploading To Hugging Face