Predicting metallicities and carbon abundances from Gaia XP spectra for (carbon-enhanced) metal-poor stars

The dataset described in Ardern-Arentsen et al. (2025), "Predicting metallicities and carbon abundances from Gaia XP spectra for (carbon-enhanced) metal-poor stars". There are three tables: reference: spectroscopic parameters used to train and test the neural network plus predictions L23: predictions for Lucey et al. (2023), XGBoost C-rich candidates from XP A23: predictions for the "vetted RGB sample" (those with radial velocities only) from Andrae et al. (2023), XGBoost metallicities from XP as described in the paper, with the data models presented in the appendix.