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1.1 GB of supplemental data from an ICLR 2026 paper comparing popular hyperbolic embedding methods. The package contains performance and quality results for algorithms like Bläsius et al. (ESA 2016) and Nickel and Kiela's Poincaré (NIPS 2017) and Lorentz (ICML 2018) embeddings on real-life hierarchies, networks, and simulated networks. Author Eryk Kopczynski released it under a CC-BY-4.0 license on figshare in May 2026.
Data is packaged in a ZIP file format.