Here we provide the synthetic spindle datasets of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the synthetic generated training dataset of simulated muscle spindles during arm passive movements generated with either character writing (PCR) or with 3D target reaching using reinforcement learning (RL). The overall structure of the data is: └── spindle_datasets ├── pcr_dataset - Contains PCR synthetic training dataset └── rl_dataset - Contains RL-generated synthetic training dataset The code to generate the PCR synthetic spindle dataset is available at: https://github.com/amathislab/Task-driven-Proprioception/tree/master/PCR-data-generation The code to generate the RL-generated synthetic spindle dataset is available at: https://github.com/amathislab/Task-driven-Proprioception/tree/master/RL-data-generation