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Synthetic dataset for infinite-label learning

The dataset used in the paper is a synthetic dataset for infinite-label learning. It consists of 500 training data points and 1000 testing data points from a five-component Gaussian mixture model. The dataset also includes 10 seen labels and 2990 unseen labels.

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Cite this as

Yang Zhang, Rupam Acharyya, Ji Liu, Boqing Gong (2024). Dataset: Synthetic dataset for infinite-label learning. https://doi.org/10.57702/mtwcehr7

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Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1608.06608
Author Yang Zhang
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Rupam Acharyya
Ji Liu
Boqing Gong