What is ORNL Peregrine 2025 Dataset?

The ORNL Peregrine dataset, produced by Oak Ridge National Laboratory, is a collection of in-situ sensor recordings, including thermal and optical imaging, captured layer by layer during metal additive manufacturing builds. Because it pairs this process data with information on the resulting part quality, the dataset is used to train machine-learning models that detect defects or anomalies in 3D-printed metal parts while they are still being built.