Generating a dataset to work with. The labels are the first column plus the product of the second column and 0.5

dataset-perceptron.py

import numpy as np 

np.random.seed(42)
dx = np.random.randint(low=-10, high=11, size=(100,2)).astype(float)
dy = (dx[:,0] + dx[:,1]*0.5)
dx_train, dx_test, dy_train, dy_test = dx[:80], dx[80:], dy[:80], dy[80:]
training_data = list(zip(dx_train, dy_train))
testing_data = list(zip(dx_test, dy_test))

print(f"The first 5 rows of the dataset:\n{np.concatenate((dx, dy.reshape(-1,1)), axis=1)[:5]}")

'''
Out:
The first 5 rows of the dataset:
[[-4.   9.   0.5]
 [ 4.   0.   4. ]
 [-3.  10.   2. ]
 [-4.   8.   0. ]
 [ 0.   0.   0. ]]
 '''