Large real-world robot datasets hold potential to train generalist robot models.Co-training policy on a mixture of simulation and real-world datasets improves performance.Simulation data can enhance real-world task performance by an average of 38%.Research presents a simple recipe for utilizing simulation data for vision-based robotic manipulation.