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Release ST-Bench on Hugging Face #1

@NielsRogge

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@NielsRogge

Hi @Kevin-thu 🤗

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/2512.19539.

The paper page lets people discuss your work and find artifacts about it. It's great to see that you've already hosted the StoryMem LoRA weights on the Hub! You can also claim the paper as yours, which will show up on your public profile at HF, and add your GitHub and project page URLs.

I noticed that you also introduced ST-Bench, a comprehensive benchmark for multi-shot video storytelling, which is currently available in the GitHub repository. Would you like to host this dataset on https://huggingface.co/datasets as well?

Hosting on Hugging Face will enable better discoverability through metadata tags and allow researchers to easily load the benchmark using:

from datasets import load_dataset

dataset = load_dataset("Kevin-thu/ST-Bench")

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 story scripts and prompts directly in the browser.

After uploaded, we can also link the dataset to the paper page (read here) so people can discover all your artifacts in one place.

Let me know if you're interested or need any guidance!

Kind regards,

Niels

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