The dataset is originated from a physics-based computational electrode manufacturing simulation workflow previously reported by us. The workflow consists of a step-by-step integration of a DEM method (formerly called CGMD in some of our previous works ) to simulate the slurry drying process. Information regarding initial configuration, particle size distribution, and force field parameters can be found in the supplementary material of our previous research. The DEM workflow utilized particle sized and shapes of AM obtained from computer tomography. The whole workflow has been validated through experiments demonstrating strong correlation with the electrode functional metrics obtained from the model (density, porosity, and tortuosity factor). A similar approach was also developed and validated for the solvent-based manufacturing of solid state cathodes. In the present work, we focus on the slurry drying step. We trained the model for one electrode formulation: 96 % NMC111 -2 % C65 -2 % PVdF (96 % AM and 4 % CBD in the simulation).