Hi @Go4miii 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and noticed it's featured on our paper page: https://huggingface.co/papers/2507.10448.
The paper page lets people discuss your paper and find related artifacts (like your models and datasets). 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.
It's fantastic to see the DISC-FinLLM models (including the LoRA variants) already available on the Hugging Face Hub! This greatly enhances their discoverability and usability.
I also noticed you've developed the DISC-FinLLM-SFT training dataset (with a sample available in your README) and the DISC-Fin-Eval Benchmark with its various components (Computing Eval, Retriever Eval data files in your repo).
It would be awesome to make these new datasets available on the 🤗 Hub as well, to further improve their visibility and discoverability for the wider AI community. Hosting on Hugging Face will allow people to easily load them with the datasets library:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")You can find a guide for uploading datasets here: https://huggingface.co/docs/datasets/loading. We also support the dataset viewer, which enables quick exploration of data in the browser.
After uploading, we can also link these datasets to your paper page (read here) so people can easily discover all your work related to FinTeam.
Let me know if you're interested or need any guidance!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @Go4miii 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and noticed it's featured on our paper page: https://huggingface.co/papers/2507.10448.
The paper page lets people discuss your paper and find related artifacts (like your models and datasets). 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.
It's fantastic to see the
DISC-FinLLMmodels (including the LoRA variants) already available on the Hugging Face Hub! This greatly enhances their discoverability and usability.I also noticed you've developed the
DISC-FinLLM-SFTtraining dataset (with a sample available in your README) and theDISC-Fin-Eval Benchmarkwith its various components (Computing Eval,Retriever Evaldata files in your repo).It would be awesome to make these new datasets available on the 🤗 Hub as well, to further improve their visibility and discoverability for the wider AI community. Hosting on Hugging Face will allow people to easily load them with the
datasetslibrary:You can find a guide for uploading datasets here: https://huggingface.co/docs/datasets/loading. We also support the dataset viewer, which enables quick exploration of data in the browser.
After uploading, we can also link these datasets to your paper page (read here) so people can easily discover all your work related to FinTeam.
Let me know if you're interested or need any guidance!
Cheers,
Niels
ML Engineer @ HF 🤗