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JetClass contains 100 million jets for training, categorized into 10 different types. The dataset is designed for deep learning applications in jet tagging, distinguishing between background jets from light quarks or gluons and signal jets from particles like top quarks, W, or Z bosons.
The full dataset description is hosted externally; users should review the page at https://huggingface.co/datasets/jet-universe/jetclass for complete details on features, format, and license.