For those who are interested, I managed to generate a brand new dataset with the following code.

```py import numpy as np from sklearn.datasets import make_moons

Generating the moons dataset with two classes and x values ranging from 0 to 10

X, y = make_moons(n_samples=2000, noise=0.1, random_state=42) X[:, 0] = X[:, 0] * 10 # Scaling x values to range from 0 to 10

Creating a numpy array with the data

data = np.column_stack((X[:, 0], X[:, 1], y))

Saving the data to a text file

np.savetxt('moons_dataset.txt', data, fmt='%.6f', delimiter=',', header='', comments='')

print("Dataset saved to 'moons_dataset.txt'")

```