microsoft / microsoft/SheetBrain
Release SheetBench dataset on Hugging Face
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 34
- Forks
- 8
- Avg merge
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- Merged PRs (30d)
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Description
Hi @Huaxing-Zeng 🤗
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.
Would you like to host the dataset you've released, SheetBench, on https://huggingface.co/datasets?
I see you've introduced this new benchmark dataset in your paper. Hosting on Hugging Face will give it 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/SheetBench")
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 dataset 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
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 proposes hosting the SheetBench dataset on Hugging Face Datasets; start with the linked Datasets loading guide and dataset viewer documentation. Done means the dataset is uploaded to Hugging Face and linked from the paper page, as described in the request.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100