Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"
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Mini-Kinetics-200 training/validation splits, used in paper Rethinking Spatiotemporal Feature Learning For Video Understanding by Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu and Kevin Murphy.

This subset of Kinetics dataset consists of the 200 categories with most training examples; for each category, we randomly sample 400 examples from the training set, and 25 examples from the validation set, resulting in 80K training examples and 5K validation examples in total.

Each line in the training/validation split file provided here is a youtube_id. For detailed information and experimental results, please refer to our ArXiv paper.