import torch
import numpy as np

# This dataset is just fitting a linear equation, where x is sampled uniformly and y=2x+.5 
torch.manual_seed(42);np.random.seed(42)

x=torch.rand(10_000)
y=2*x+.5

torch.save((x,y),"/data/cameron/toy_1d_datasets/lin_regress.pt")