The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Light-trap insects: two illumination domains
Two YOLO object-detection datasets built from light-trap photographs:
archives/full_illumination_yolo.tar— full illumination;archives/round_spot_yolo.tar— a circular light spot.
Both domains use the same single training class: insect.
Structure
Each TAR archive expands to:
annotations/ COCO 1.0 annotations
images/train/
images/val/
images/test/
labels/train/
labels/val/
labels/test/
dataset.yaml Ultralytics YOLO configuration
SHA-256:
2EBFC768882C03E2AC54F0AA18AB5EAA553D8CBF8B67809AC1B8F988ED45CD3D full_illumination_yolo.tar
10D11070617A307D9B4E947F81C01C5CC2DA11E5D51E9CE299CAF13713C7ED51 round_spot_yolo.tar
The split is assigned by complete capture nights, not by individual tiles. Capture-night, batch, and paired-frame leakage between train, validation, and test was checked and not detected.
Dataset summary
| Domain | Source images | Retained tiles | Tile annotations |
|---|---|---|---|
| Full illumination | 2,402 | 26,240 | 41,618 |
| Round spot | 1,778 | 20,756 | 30,119 |
| Total | 4,180 | 46,996 | 71,737 |
Tiles are 1280 x 1280 with 20% overlap. Negative tiles were retained at a target ratio of 0.25.
Annotation provenance and limitations
The annotations are pseudo-labels produced by a bootstrap YOLO detector and
automated QA. Coarse CLIP morphogroup suggestions from the source annotation
were collapsed to a single insect class for training; debris was removed.
These annotations have not been fully reviewed by an entomologist. They should not be treated as scientifically verified species-level labels. Reported model metrics measure agreement with the current pseudo-labels. The independent test split contains one capture night, so seasonal generalization is not established.
Geometry QA reported no invalid, out-of-bounds, tiny, or duplicate boxes in the canonical source annotation.
Ultralytics usage
mkdir full_illumination
tar -xf archives/full_illumination_yolo.tar -C full_illumination
yolo detect train data=full_illumination/dataset.yaml model=yolo11n.pt imgsz=1024
Extract the second archive into round_spot/ and replace the dataset path with
round_spot/dataset.yaml for the second domain.
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