Kavli Affiliate: Kaisey Mandel
| First 5 Authors: The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly
| Summary:
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of
scientific astronomical data, compiled specifically to facilitate machine
learning research. Overall, the MULTIMODAL UNIVERSE contains hundreds of
millions of astronomical observations, constituting 100,TB of multi-channel
and hyper-spectral images, spectra, multivariate time series, as well as a wide
variety of associated scientific measurements and "metadata". In addition, we
include a range of benchmark tasks representative of standard practices for
machine learning methods in astrophysics. This massive dataset will enable the
development of large multi-modal models specifically targeted towards
scientific applications. All codes used to compile the MULTIMODAL UNIVERSE and
a description of how to access the data is available at
https://github.com/MultimodalUniverse/MultimodalUniverse
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