Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2407.13168 (feel free to claim the paper so that it appears at your HF account!).
However there are a couple of things which could improve the discoverability of leaderboard + dataset, which I've listed below.
Make dataset available on the hub
Would you be interested in making your dataset available on the hub?
This way, people could load the dataset in 2 lines of code, like so (assuming they got access through the manual approval and are logged in with their HF account):
from datasets import load_dataset
dataset = load_dataset("your-hf-organization/scicode")
Hi,
Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2407.13168 (feel free to claim the paper so that it appears at your HF account!).
However there are a couple of things which could improve the discoverability of leaderboard + dataset, which I've listed below.
Make dataset available on the hub
Would you be interested in making your dataset available on the hub?
This way, people could load the dataset in 2 lines of code, like so (assuming they got access through the manual approval and are logged in with their HF account):
Moreover, we support gated access which requires people to fill in their contact information (similar to how models like LLaMa-3 are gated): https://huggingface.co/docs/hub/en/datasets-gated
Leaderboard as an app on Spaces
Secondly, if you're interested, the leaderboard could be hosted on Spaces using Streamlit/Gradio/Docker app. See here for more info: https://huggingface.co/docs/hub/en/spaces-overview
Let me know if you need any help regarding this!
Cheers,
Niels ML Engineer @ HF 🤗