google-deepmind / google-deepmind/proactive_t2i_agents

Release DesignBench on Hugging Face

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Description

Hi @zi-w 🤗

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/2412.06771.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset 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.

Would you like to host the dataset you've released on https://huggingface.co/datasets?
I see you're hosting it on GitHub within your repository (https://github.com/google-deepmind/proactive_t2i_agents/tree/main/designbench). Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

```python
from datasets import load_dataset

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

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Besides that, there's the [dataset viewer](https://huggingface.co/docs/hub/en/datasets-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 (read [here](https://huggingface.co/docs/hub/en/model-cards#linking-a-paper)) so people can discover your work.

Let me know if you're interested/need any guidance.

Kind regards,

Niels

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