Embedded dataset in Poincare Balls
Cite this dataset:
Pan, Chao; Peng, Jianhao; Chien, Eli; Milenkovic, Olgica (2023): Embedded dataset in Poincare Balls. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6901251_V1
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Dataset Description

This dataset contains four real-world sub-datasets with data embedded into Poincare ball models, including Olsson's single-cell RNA expression data, CIFAR10, Fashion-MNIST and mini-ImageNet. Each sub-dataset has two corresponding files: one is the data file, the other one is the pre-computed reference points for each class in the sub-dataset. Please refer to our paper (https://arxiv.org/pdf/2109.03781.pdf) and codes (https://github.com/thupchnsky/PoincareLinearClassification) for more details.
Subject Technology and Engineering
Keywords Hyperbolic space; Machine learning; Poincare ball models; Perceptron algorithm; Support vector machine
License CC0
Funder U.S. National Science Foundation (NSF)-Grant:1956384
Corresponding Creator Olgica Milenkovic
Downloaded 50 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-6901251_V1 2023-06-01
Open in Globus File Manager what's this?
cifar_poincare_embedding.npz 1.37 MB File
cifar_reference_points_gt.npy 288 Bytes File
fashion-mnist_poincare_embedding.npz 1.6 MB File
fashion-mnist_reference_points_gt.npy 288 Bytes File
mini_poincare_embedding.npz 62.6 MB File
mini_reference_points_gt.npy 80.1 KB File
olsson_poincare_embedding.npz 7.21 KB File
olsson_reference_points_gt.npy 256 Bytes File

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update: {"nested_updated_at"=>[nil, Thu, 01 Jun 2023 20:02:47.073545000 UTC +00:00]} 2024-01-03T18:23:22Z