Release ColorFlow-Bench on Hugging Face

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
huggingface, python
Domain
data, machine-learning, release

Research direction

Start by locating the ColorFlow-Bench dataset and reviewing Hugging Face's dataset loading guide and dataset viewer documentation. Confirm how the dataset should be published and tagged on Hugging Face; done means users can load it with datasets.load_dataset and explore it in the dataset viewer.

Written by the indexing model from the issue text.

Description

Hi @zhuang2002 🤗

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/2412.11815.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

It's great to see the pre-trained models being released on Hugging Face. Would you like to also host the ColorFlow-Bench dataset on Hugging Face?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the dataset card so that people find
the dataset easier, link it to the paper page, etc.

We can add tags so that people find them when filtering https://huggingface.co/datasets.

Would be awesome to make the dataset available on 🤗 , so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

See here for a guide: 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.

Let me know if you're interested/need any help regarding this!

Kind regards,

Niels

Dominant language
Python
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