Release ExtractBench on Hugging Face #1
Description
Hi @ContextualAI 🤗
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 (https://huggingface.co/papers/2602.12247) 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, and add Github and project page URLs.
Would you like to host the ExtractBench dataset you've released on https://huggingface.co/datasets?
I see you're currently hosting the PDF and JSON triplets on GitHub. 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("ContextualAI/ExtractBench")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, which is very useful for document-based datasets containing PDFs: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the schemas and gold labels directly 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