Linking Your Datasets to Your Paper

Oct 13, 2025 by miodeya.com 87 views

Introduction

As a member of the open-source team at Hugging Face, I came across your work on Arxiv and was impressed by the innovative approach you've taken in developing RecipeGen. I'd like to extend an invitation to submit your work to Hugging Face's paper page, which will significantly enhance its discoverability. This article will guide you through the process of releasing RecipeGen on Hugging Face, including hosting your datasets and linking them to your paper page.

Why Release on Hugging Face?

Hugging Face is a leading platform for the development and sharing of natural language processing (NLP) and machine learning (ML) models. By releasing RecipeGen on Hugging Face, you'll gain access to a vast community of researchers and developers who can contribute to and build upon your work. Here are some benefits of releasing on Hugging Face:

Improved discoverability: Your work will be more visible to a broader audience, increasing the chances of collaborations and citations.
Community engagement: Hugging Face's paper page allows users to discuss your work, providing valuable feedback and insights.
Dataset hosting: You can host your datasets on Hugging Face, making it easier for others to access and use them.
Model cards: You can create model cards to showcase your work, including information about your dataset, model architecture, and training procedures.

Submitting Your Paper

If you're one of the authors of RecipeGen, you can submit your paper to Hugging Face's paper page. This will create a dedicated page for your work, where users can discuss and find artifacts related to your research. To submit your paper, follow these steps:

Visit the paper page: Go to https://huggingface.co/papers and click on the "Submit Paper" button.
Fill out the form: Provide the necessary information about your paper, including the title, authors, and abstract.
Upload your paper: Attach your paper to the submission form.
Claim your paper: Once your paper is submitted, you can claim it as yours, which will display on your public profile at Hugging Face.

Hosting Your Datasets

Hugging Face provides a platform for hosting datasets, making it easier for others to access and use them. If you're currently hosting your datasets on OneDrive, consider moving them to Hugging Face. Here are some benefits of hosting your datasets on Hugging Face:

Better discoverability: Your datasets will be more visible to a broader audience, increasing the chances of collaborations and citations.
Easy access: Users can load your datasets using the load_dataset function from the datasets library.
Webdataset support: Hugging Face supports Webdataset, which is useful for image and video datasets.

To host your datasets on Hugging Face, follow these steps:

Visit the dataset page: Go to https://huggingface.co/datasets and click on the "Submit Dataset" button.
Fill out the form: Provide the necessary information about your dataset, including the name, description, and tags.
Upload your dataset: Attach your dataset to the submission form.
Claim your dataset: Once your dataset is submitted, you can claim it as yours, which will display on your public profile at Hugging Face.

Linking Your Datasets to Your Paper

Once you've hosted your datasets on Hugging Face, you can link them to your paper page. This will allow users to discover your work and access your datasets. To link your datasets to your paper, follow these steps:

Visit the paper page: Go to your paper page on Hugging Face.
Click on the "Datasets" tab: This will take you to a page where you can link your datasets to your paper.
Select your datasets: Choose the datasets you want to link to your paper.
Save your changes: Click on the "Save" button to link your datasets to your paper.

Conclusion

Releasing RecipeGen on Hugging Face will significantly enhance its discoverability and provide a platform for community engagement. By hosting your datasets on Hugging Face, you'll make it easier for others to access and use them. If you're interested in releasing RecipeGen on Hugging Face, I'd be happy to guide you through the process. Please let me know if you have any questions or need further assistance.

Additional Resources

Hugging Face's paper page: https://huggingface.co/papers
Hugging Face's dataset page: https://huggingface.co/datasets
Hugging Face's documentation: https://huggingface.co/docs
Hugging Face's community forum: https://discuss.huggingface.co
Release RecipeGen on Hugging Face: Q&A =====================================

Introduction

As a member of the open-source team at Hugging Face, I'm excited to help you release RecipeGen on our platform. In this Q&A article, I'll address some common questions and provide additional information to help you get started.

Q: What is Hugging Face's paper page?

A: Hugging Face's paper page is a platform where researchers and developers can share their work, including papers, datasets, and models. It's a great way to increase the discoverability of your research and engage with the community.

Q: How do I submit my paper to Hugging Face's paper page?

A: To submit your paper, follow these steps:

Visit the paper page: Go to https://huggingface.co/papers and click on the "Submit Paper" button.
Fill out the form: Provide the necessary information about your paper, including the title, authors, and abstract.
Upload your paper: Attach your paper to the submission form.
Claim your paper: Once your paper is submitted, you can claim it as yours, which will display on your public profile at Hugging Face.

Q: What are the benefits of hosting my datasets on Hugging Face?

A: Hosting your datasets on Hugging Face provides several benefits, including:

Better discoverability: Your datasets will be more visible to a broader audience, increasing the chances of collaborations and citations.
Easy access: Users can load your datasets using the load_dataset function from the datasets library.
Webdataset support: Hugging Face supports Webdataset, which is useful for image and video datasets.

Q: How do I host my datasets on Hugging Face?

A: To host your datasets on Hugging Face, follow these steps:

Visit the dataset page: Go to https://huggingface.co/datasets and click on the "Submit Dataset" button.
Fill out the form: Provide the necessary information about your dataset, including the name, description, and tags.
Upload your dataset: Attach your dataset to the submission form.
Claim your dataset: Once your dataset is submitted, you can claim it as yours, which will display on your public profile at Hugging Face.

Q: How do I link my datasets to my paper page?

A: To link your datasets to your paper page, follow these steps:

Visit the paper page: Go to your paper page on Hugging Face.
Click on the "Datasets" tab: This will take you to a page where you can link your datasets to your paper.
Select your datasets: Choose the datasets you want to link to your paper.
Save your changes: Click on the "Save" button to link your datasets to your paper.

Q: What is the difference between Hugging Face's paper page and arXiv?

A: Hugging Face's paper page and arXiv are both platforms for sharing research papers, but they serve different purposes. arXiv is a repository for preprints, while Hugging Face's paper page is a platform for sharing papers, datasets, and models. Hugging Face's paper page also provides additional features, such as community engagement and dataset hosting.

Q: How do I get started with Hugging Face's paper page?

A: To get started with Hugging Face's paper page, follow these steps:

Visit the paper page: Go to https://huggingface.co/papers and click on the "Submit Paper" button.
Fill out the form: Provide the necessary information about your paper, including the title, authors, and abstract.
Upload your paper: Attach your paper to the submission form.
Claim your paper: Once your paper is submitted, you can claim it as yours, which will display on your public profile at Hugging Face.

Conclusion

Releasing RecipeGen on Hugging Face's paper page is a great way to increase its discoverability and engage with the community. By hosting your datasets on Hugging Face, you'll make it easier for others to access and use them. If you have any further questions or need additional guidance, please don't hesitate to reach out.

Additional Resources

Hugging Face's paper page: https://huggingface.co/papers
Hugging Face's dataset page: https://huggingface.co/datasets
Hugging Face's documentation: https://huggingface.co/docs
Hugging Face's community forum: https://discuss.huggingface.co