Hi @kelsdoerksen 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding EarthShift and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
Would you like to host the EarthShift benchmark datasets you've released on https://huggingface.co/datasets?
I see you are providing the code to run the evaluation pipeline, but hosting the curated data pairs directly on Hugging Face will give the project more visibility and enable better discoverability within the geospatial AI community. It will also allow people to easily load the data via the datasets library:
from datasets import load_dataset
dataset = load_dataset("kerner-lab/EarthShift")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, which is particularly useful for remote sensing imagery.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. This would be a great way to showcase the different distribution shifts (geographic, temporal, etc.) you've curated.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @kelsdoerksen 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding EarthShift and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
Would you like to host the EarthShift benchmark datasets you've released on https://huggingface.co/datasets?
I see you are providing the code to run the evaluation pipeline, but hosting the curated data pairs directly on Hugging Face will give the project more visibility and enable better discoverability within the geospatial AI community. It will also allow people to easily load the data via the
datasetslibrary:If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, which is particularly useful for remote sensing imagery.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. This would be a great way to showcase the different distribution shifts (geographic, temporal, etc.) you've curated.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels