Datasets:

OVT-NPU
/

Widerface_small

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Bad split: calib_images. Available splits: ['test']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 116, in get_rows
                  ds = safe_load_dataset(
                      dataset,
                  ...<4 lines>...
                      download_config=download_config,
                  )
                File "/src/services/worker/src/worker/utils.py", line 470, in safe_load_dataset
                  return load_dataset(
                      path,
                  ...<5 lines>...
                      token=token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1684, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1165, in as_streaming_dataset
                  raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
              ValueError: Bad split: calib_images. Available splits: ['test']

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Dataset Card for [Widerface_small]

This dataset is a derived subset of the original WiderFace dataset, extracted specifically for face detection in TinyML applications.

Licensing and Attribution Information ⚠️

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

Upstream Attribution

If you use this dataset, you must attribute both this derivative version and the original foundation dataset:

Original Dataset Creators: Wider Face (WIDER FACE: A Face Detection Benchmark (Yang et al., 2016)).

Citation

If you use this dataset, please cite the following original paper alongside this repository:

@inproceedings{yang2016wider,
    Author = {Yang, Shuo and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
    Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    Title = {WIDER FACE: A Face Detection Benchmark},
    Year = {2016}}