DrGil/k600_test_ds

K600 Frozen Test Clips (for reproducible evaluation)

This repository provides a frozen set of extracted clips used for evaluation in the paper:

Paper

• https://huggingface.co/papers/2511.20928
• https://arxiv.org/abs/2511.20928

Why this dataset exists

Kinetics videos are hosted on YouTube, and availability can change over time. This dataset exists to provide a stable evaluation set aligned with the paper’s experiments.

What’s included

• k600_test_ds.tar.gz — an archive containing extracted test clips organized by class.

Code (reproduction instructions)

For the exact, step-by-step instructions to reproduce results (expected directory layout, caching, and evaluation pipeline), please refer to:

• https://github.com/cmusatyalab/grw-smoothing

Related model weights

• https://huggingface.co/DrGil/grw-smoothing-movinet

Licensing / redistribution note

This dataset is marked as other because it is derived from Kinetics/YouTube-sourced videos and may involve varying rights. Please ensure your usage complies with the original rights and applicable terms.

Citation

If you use this dataset, please cite:

@inproceedings{goldman2025grwsmoothing,
  title     = {Smooth Regularization for Efficient Video Recognition},
  author    = {Gil Goldman and Raja Giryes and Mahadev Satyanarayanan},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year      = {2025},
  url       = {https://arxiv.org/abs/2511.20928}
}