DrGil/grw-smoothing-movinet
Video Classification
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Datasets:
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End of preview. Expand
in Data Studio
K600 Frozen Test Clips (for reproducible evaluation)
This repository provides a frozen set of extracted clips used for evaluation in the paper:
Paper
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:
Related model weights
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}
}
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Size of the auto-converted Parquet files (First 5GB):
4.99 GB
Number of rows (First 5GB):
7,100
Estimated number of rows:
50,758
Models trained or fine-tuned on DrGil/k600_test_ds