Update README.md

README.md

@@ -45,7 +45,7 @@ Evolution Gym is a large-scale benchmark for co-optimizing the design and contro
 In this dataset, we open-source 90k+ annotated robot structures from the EvoGym paper. The fields of each robot in the dataset are as follows:
 - `uid` *(str)*: Unique identifier for the robot
 - `body` *(int64 np.ndarray)*: 2D array indicating the voxels that make up the robot  
-- `connections` *(int64 np.ndarray)*: 2D array indicating how the robot's voxels are connected. In this dataset, all robots are fully-connected, meaning that all adjacent voxels are connected.
+- `connections` *(int64 np.ndarray)*: 2D array indicating how the robot's voxels are connected. In this dataset, all robots are fully-connected, meaning that all adjacent voxels are connected
 - `reward` *(float)*: reward achieved by the robot's policy
 - `env_name` *(str)*: Name of the EvoGym environment (task) the robot was trained on  
 - `generated_by` *("Genetic Algorithm" | "Bayesian Optimization" | "CPPN-NEAT")*: Algorithm used to generate the robot