Modified Wolf Sheep Predation Trajectory Dataset with Leader

This dataset contains labeled trajectories from a modified version of the NetLogo Wolf Sheep Predation model. In this simulation, a subset of wolves follows an alpha leader, while others hunt independently.The dataset captures heterogeneous delays, noisy trajectories, and occlusion-like effects, making it well-suited for testing causality inference and leader–follower detection algorithms in scenarios with mixed movement strategies. Columns: x_coordinate (float) – Agent’s position on the X-axis in simulation space. y_coordinate (float) – Agent’s position on the Y-axis in simulation space. agent_id (integer) – Unique identifier for each agent. time (integer) – Time step of the simulation. speed (float) – Magnitude of the agent’s velocity at the given time step. label (string: "leader", "follower", "independent") – Role of the agent in the group dynamics.