Release AnyWord-3M (FLUX-Text Annotations) on Hugging Face #44
Description
Hello,
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/2505.03329.
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.
Your pre-trained FLUX-Text models are already available on the Hugging Face Hub, which is great for discoverability! I noticed that your Hugging Face model repository also contains "new annotations" for the AnyWord-3M dataset (data_text_recog_glyph) which are used in your training process.
Would you like to host these new annotations/processed dataset on https://huggingface.co/datasets?
Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
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 which allows people to quickly explore the first few rows of the data in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels