What it is
This page discusses the release of an open preference dataset aimed at improving text-to-image generation, created by the Hugging Face community. The dataset is designed to facilitate open-source development by providing preference pairs across various image generation categories.
Gabriel’s notes
The Data is Better Together community releases yet another important dataset for open source development. Due to the lack of open preference datasets for text-to-image generation, they set out to release an Apache 2.0 licensed dataset for text-to-image generation. This dataset is focused on text-to-image preference pairs across common image generation categories, while mixing different model families and varying prompt complexities.
Good fit if you want to:
- generate, edit, or enhance creative assets (images, design, branding).
Pricing snapshot (auto-enriched): Free tier available for the Hugging Face Hub; pricing is subscription-based with personal PRO accounts at $9/month, team plans at $20 per user per month, and enterprise plans starting at $50 per user per month;…
Work-use / compliance snapshot (auto-enriched): The Hugging Face platform, including its datasets and tools, is suitable for workplace use as it is GDPR compliant, SOC2 Type 2 certified, offers Single Sign-On (SSO), and provides enterprise-level data handling, training usage policies, and data retention through its Enterprise Plan.
Alternatives (auto-enriched): Alternative: fal.ai/imgsys | Comparison: Imsys offers a generative image model arena with real-life usage prompts but does not publish generated images publicly, unlike the Hugging Face open preference dataset which is fully open and includes both prompts and images.
Reading tip: skim headings first, then focus on the sections that match your current project or question.
Note: pricing and policy details can change—verify on the official site before making decisions.