Release OpenCook Recipe Library on Hugging Face

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#1 opened on Apr 10, 2026 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty: 4/5
Estimated time: 3-5 days
Newbie friendliness: 45/100

Issue type: Feature
Clarity: Mostly clear
Activity status: Quiet
Tech stack: huggingface, python
Domain: data

Research direction

Start with the Hugging Face Datasets loading guide and the repository's existing OpenCook Recipe Library. Determine how the dataset should be uploaded and made discoverable on Hugging Face, then verify that it can be loaded with the documented Python interface and linked to the paper page.

Written by the indexing model from the issue text.

Description

Hi @weizhoudb 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2604.06231.
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.

Would you like to host the "OpenCook Recipe Library" you've released on https://huggingface.co/datasets?
I see you're hosting it as part of your GitHub repository. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data 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

Dominant language: Python
Stars: 29
Forks: 3
PR merge metrics: No merged PRs in 30d

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