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Description
Hi @alirezamshi π€
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv 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 models, datasets or demo 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.
I saw in your paper that you are releasing the KAPSO framework along with a comprehensive "knowledge package" (including the MediaWiki dump and database snapshots). It'd be great to make these available on the π€ hub to improve their discoverability and visibility for the program synthesis community.
Uploading the knowledge package
The knowledge package sounds like a very valuable asset. Hosting it on https://huggingface.co/datasets would allow people to easily explore it. We provide a dataset viewer which allows people to quickly browse structured data in the browser.
You can find a guide for uploading datasets here: https://huggingface.co/docs/datasets/loading.
Uploading the framework/models
If there are specific pre-trained components or model wrappers, hosting them on https://huggingface.co/models will give them more visibility. We can add tags so that people find them when filtering for code-generation or optimization tasks.
See here for a guide on uploading models: https://huggingface.co/docs/hub/models-uploading.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF π€