Hi @karrykkk 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2601.10332.
The paper page lets people find artifacts about it, and it's great to see you've already hosted the Think-Then-Generate-T2I model and a Space on the Hub!
I noticed in your paper that you constructed a specific supervised fine-tuning (SFT) dataset that enriches raw user prompts with chain-of-thought (CoT) reasoning to activate the "think-then-rewrite" pattern. Would you like to host this dataset on https://huggingface.co/datasets as well?
Hosting on Hugging Face will give it more visibility and enable better discoverability, and will also allow people to do:
from datasets import load_dataset
dataset = load_dataset("SJTU-Deng-Lab/think-then-generate-sft")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
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 and your model card so researchers can find all related artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @karrykkk 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2601.10332.
The paper page lets people find artifacts about it, and it's great to see you've already hosted the
Think-Then-Generate-T2Imodel and a Space on the Hub!I noticed in your paper that you constructed a specific supervised fine-tuning (SFT) dataset that enriches raw user prompts with chain-of-thought (CoT) reasoning to activate the "think-then-rewrite" pattern. Would you like to host this dataset on https://huggingface.co/datasets as well?
Hosting on Hugging Face will give it more visibility and enable better discoverability, and will also allow people to do:
If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
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 and your model card so researchers can find all related artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels