OpenImagingLab / OpenImagingLab/RealVDeblur
Release OmniBlur dataset on Hugging Face
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 25
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Hi @RBJin 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.20628 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 OmniBlur dataset you've created on https://huggingface.co/datasets? I see you mention it is pending release on the project page. 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/omniblur")
If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, useful for large-scale 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
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue does not identify a repository file, test, or dataset location. Start by checking the project page's note that the dataset is pending release and read the linked Hugging Face Datasets loading and WebDataset guides; done would mean the OmniBlur dataset is hosted on Hugging Face and can be discovered or loaded as described.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100