Hi @che-shr-cat 🤗
I'm Niels and work as part of 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 dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
I saw in your paper that you are open-sourcing the Theory of Code Space (ToCS) benchmark toolkit. Would you like to host the benchmark datasets or the procedural generator on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow researchers to easily load and explore the benchmark:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/theory-of-code-space")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the generated codebases/samples directly in the browser.
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/need any guidance.
Kind regards,
Niels
ML Engineer @ HF 🤗
Hi @che-shr-cat 🤗
I'm Niels and work as part of 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 dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
I saw in your paper that you are open-sourcing the Theory of Code Space (ToCS) benchmark toolkit. Would you like to host the benchmark datasets or the procedural generator on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow researchers to easily load and explore the benchmark:
If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the generated codebases/samples directly in the browser.
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/need any guidance.
Kind regards,
Niels
ML Engineer @ HF 🤗