This is a pre-processed version of the dataset saved in numpy format. The original dataset is obtained from CMU-MOCAP. The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows: loaded_data = np.load("KickvsPunch.npz") Xtr = loaded_data['Xtr'] # Training data of shape (16, 841, 62) Ytr = loaded_data['Ytr'] # Training labels of shape (16, 1) Xte = loaded_data['Xte'] # Test data of shape (10, 841, 62) Yte = loaded_data['Yte'] # Test labels of shape (10, 1)