Add raw data files to the Hub with GitHub LFS for canonical dataset
Hi @zlucia, I would actually suggest hosting the dataset as a huggingface.co-hosted dataset.

The only difference with a "canonical"/legacy dataset is that it's nested under an organization (here `stanford` or `stanfordnlp` for instance – completely up to you) but then you can upload your data using git-lfs (unlike "canonical" datasets where we don't host the data)

Let me know if this fits your use case!

cc'ing @osanseviero @lhoestq and rest of the team 🤗
I'm interested in sharing the CaseHOLD dataset (https://arxiv.org/abs/2104.08671) as a canonical dataset on the HuggingFace Hub and would like to add the raw data files to the Hub with GitHub LFS, since it seems like a more sustainable long term storage solution, compared to other storage solutions available to my team. From what I can tell, this option is not immediately supported if one follows the sharing steps detailed here: [https://huggingface.co/docs/datasets/share_dataset.html#sharing-a-canonical-dataset](https://huggingface.co/docs/datasets/share_dataset.html#sharing-a-canonical-dataset), since GitHub LFS is not supported for public forks. Is there a way to request this? Thanks!
Add raw data files to the Hub with GitHub LFS for canonical dataset 
 I'm interested in sharing the CaseHOLD dataset (https://arxiv.org/abs/2104.08671) as a canonical dataset on the HuggingFace Hub and would like to add the raw data files to the Hub with GitHub LFS, since it seems like a more sustainable long term storage solution, compared to other storage solutions available to my team. From what I can tell, this option is not immediately supported if one follows the sharing steps detailed here: [https://huggingface.co/docs/datasets/share_dataset.html#sharing-a-canonical-dataset](https://huggingface.co/docs/datasets/share_dataset.html#sharing-a-canonical-dataset), since GitHub LFS is not supported for public forks. Is there a way to request this? Thanks! 
 Hi @zlucia, I would actually suggest hosting the dataset as a huggingface.co-hosted dataset.

The only difference with a "canonical"/legacy dataset is that it's nested under an organization (here `stanford` or `stanfordnlp` for instance – completely up to you) but then you can upload your data using git-lfs (unlike "canonical" datasets where we don't host the data)

Let me know if this fits your use case!

cc'ing @osanseviero @lhoestq and rest of the team 🤗