Updating README

README.md

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 ![PD12M](header.jpg)
 
 # Summary
-**PD12M** is a collection of 12.4 million CC0/PD image-caption pairs for the purpose of training generative image models.
+At 12.4 million image-caption pairs, PD12M is the largest public domain image-text dataset to date, with sufficient size to train foundation models while minimizing copyright concerns. Through the Source.Plus platform, we also introduce novel, community-driven dataset governance mechanisms that reduce harm and support reproducibility over time.
 
-[Paper](https://arxiv.org) [Datasheet](https://huggingface.co/datasets/Spawning/PD12M/blob/main/Datasheet.pdf) [Project](https://source.plus/pd12m)
+[Jordan Meyer](https://linkedin.com/in/jordanmeyer)    [Nicholas Padgett](https://www.linkedin.com/in/nicholas-padgett-36a921a0/) [Cullen Miller](https://www.linkedin.com/in/cullen-miller-312941290/)    [Cullen Miller](https://www.linkedin.com/in/lauraexline/)
+
+[Paper](https://arxiv.org)     [Datasheet](https://huggingface.co/datasets/Spawning/PD12M/blob/main/Datasheet.pdf)     [Project](https://source.plus/pd12m)
 
 # About
 PD12M was built and curated with [Source.Plus](https://source.plus) with the aim of resolving many of the data quality issues that arise in web-scraped training data: the presence of copyrighted material, low quality images and captions, violent or nsfw content, PII, decaying dataset quality via broken links, etc.