P2 (PartiPrompts)
Introduced by Yu et al. in Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release as part of this work. P2 can be used to measure model capabilities across various categories and challenge aspects. These prompts can be simple, allowing us to gauge the progress from scaling¹². If you're curious to explore more, you can find the dataset on Hugging Face¹ or visit the official Parti website².
Source: Conversation with Bing, 3/18/2024 (1) nateraw/parti-prompts · Datasets at Hugging Face. https://huggingface.co/datasets/nateraw/parti-prompts. (2) Parti: Pathways Autoregressive Text-to-Image Model. https://parti.research.google/. (3) GitHub - google-research/parti. https://github.com/google-research/parti.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
