Description
A hello_world_cosmo.ipynb notebook should be added to docs/notebooks/ to walk users through an end-to-end workflow with COSMO data, mirroring the DANRA example in #69.
The notebook already exists on Joel's research branch and should serve as the starting point:
👉 https://github.com/joeloskarsson/neural-lam-dev/blob/research/docs/reproduce_paper_sample.md
The in-progress PR is #392.
Main blocker
The full COSMO-2 dataset used for training is hosted at ETH and is multiple 100 GB, it will never be freely available. To make this notebook runnable out-of-the-box, a reduced COSMO sample needs to be prepared and hosted on an accessible platform (e.g. Hugging Face Datasets or Zenodo), similar to the small DANRA subset used in the DANRA notebook. Alternatively contact @leifdenby for available hosting options.
Related
Description
A
hello_world_cosmo.ipynbnotebook should be added todocs/notebooks/to walk users through an end-to-end workflow with COSMO data, mirroring the DANRA example in #69.The notebook already exists on Joel's research branch and should serve as the starting point:
👉 https://github.com/joeloskarsson/neural-lam-dev/blob/research/docs/reproduce_paper_sample.md
The in-progress PR is #392.
Main blocker
The full COSMO-2 dataset used for training is hosted at ETH and is multiple 100 GB, it will never be freely available. To make this notebook runnable out-of-the-box, a reduced COSMO sample needs to be prepared and hosted on an accessible platform (e.g. Hugging Face Datasets or Zenodo), similar to the small DANRA subset used in the DANRA notebook. Alternatively contact @leifdenby for available hosting options.
Related