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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 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.
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2 0.3703125 0.50078125 0.7375 0.9953125 |
2 0.44509641490547763 0.5 0.8901928298109553 1 |
2 0.6109375 0.4578125 0.665625 0.90546875 |
2 0.590625 0.5068671518694554 0.81875 0.9862656962610892 |
2 0.5994348350945223 0.5053636086609987 0.8011303298109553 0.9892727826780024 |
2 0.2941393803998866 0.53359375 0.5882787607997731 0.9328125 |
End of preview.
CCTV Datasets for helmet detection + ANPR
Training and evaluation data used by vivekvar/helmet-v5 and vivekvar/helmet-v4.
Source: Andhra Pradesh RTGS CCTV feeds (public road cameras). All crops and frames are from motorcycle traffic scenes.
Folders
| Folder | Contents | Purpose |
|---|---|---|
merged_v3/ |
YOLO-format dataset (data.yaml + train/valid/test) |
Bike + rider detection training |
clean_merged_data/ |
Cleaned / deduped crop set | Base training data for v4 |
extra_khadatkar/ |
Additional labeled crops (source: Khadatkar junction) | Augment v4 helmet classifier |
extra_learning/ |
High-quality hand-checked samples | Active-learning batch |
extra_nckh/ |
Additional labeled crops (source: NCKH junction) | Augment v4 helmet classifier |
Use
merged_v3/data.yaml is ready for Ultralytics YOLO:
yolo detect train data=merged_v3/data.yaml model=yolo11l.pt imgsz=1280 epochs=50
Crop folders use directory-per-class layout compatible with torchvision.datasets.ImageFolder.
Notes
- Labels are a mix of human-verified and model-pseudo-labeled (helmet-v4 self-labels). The
extra_*sets skew higher quality. - Cameras used: GNT_TMS_269, GNT_TMS_273 and other Andhra Pradesh RTGS nodes.
- Not included: raw video clips — too large and proprietary. Frames are extracted only.
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