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Copy file name to clipboardExpand all lines: _posts/2024-12-03-mmu.md
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That’s why we’re excited to have partnered with the **Multimodal Universe** collaboration to introduce a new, large-scale curated collection of standardized data designed to accelerate ML research in astronomy. If you’ve ever dreamed of having a unified resource that seamlessly ties together images, spectra, time-series, and more, from multiple surveys, we built the Multimodal Universe with you in mind.
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<imgsrc="/images/blog/mmu_dset_examples.jpg"alt="Examples of data in the MMU dataset"width="95%"style="mix-blend-mode: darken;">
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<imgsrc="/images/blog/mmu_dset_examples.png"alt="Examples of data in the MMU dataset"width="95%"style="mix-blend-mode: darken;">
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We’ve combined publicly available data from **major astronomical surveys** into one consistently cross-matched framework, summarized in the table below. Images, spectra, hyperspectral data cubes, time-series data… they’re all in here! Each dataset has been carefully pre-processed, documented, and aligned to play nicely with one another right out of the box.
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| Modality | Source Survey | N_c | Shape | Number of samples | Main science |
Up-to-date instructions on how to download the data, plus details about cross-matching and referencing the original sources, can be found on the [Multimodal Universe GitHub](https://github.com/MultimodalUniverse/MultimodalUniverse/).
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