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  # Summary
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  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.
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- [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/)
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  [Paper](https://arxiv.org) [Datasheet](https://huggingface.co/datasets/Spawning/PD12M/blob/main/Datasheet.pdf) [Project](https://source.plus/pd12m)
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  # Summary
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  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.
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+ [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/) [Laura Exline](https://www.linkedin.com/in/lauraexline/)
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  [Paper](https://arxiv.org) [Datasheet](https://huggingface.co/datasets/Spawning/PD12M/blob/main/Datasheet.pdf) [Project](https://source.plus/pd12m)
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