diff --git a/prototorch/datasets/spiral.py b/prototorch/datasets/spiral.py
new file mode 100644
index 0000000..3a0925d
--- /dev/null
+++ b/prototorch/datasets/spiral.py
@@ -0,0 +1,33 @@
+"""Spiral dataset for binary classification."""
+
+import numpy as np
+import torch
+
+
+def make_spiral(n_samples=500, noise=0.3):
+    def get_samples(n, delta_t):
+        points = []
+        for i in range(n):
+            r = i / n_samples * 5
+            t = 1.75 * i / n * 2 * np.pi + delta_t
+            x = r * np.sin(t) + np.random.rand(1) * noise
+            y = r * np.cos(t) + np.random.rand(1) * noise
+            points.append([x, y])
+        return points
+
+    n = n_samples // 2
+    positive = get_samples(n=n, delta_t=0)
+    negative = get_samples(n=n, delta_t=np.pi)
+    x = np.concatenate(
+        [np.array(positive).reshape(n, -1),
+         np.array(negative).reshape(n, -1)],
+        axis=0)
+    y = np.concatenate([np.zeros(n), np.ones(n)])
+    return x, y
+
+
+class Spiral(torch.utils.data.TensorDataset):
+    """Spiral dataset for binary classification."""
+    def __init__(self, n_samples=500, noise=0.3):
+        x, y = make_spiral(n_samples, noise)
+        super().__init__(torch.Tensor(x), torch.LongTensor(y))