diff --git a/sdgym/synthesizers/independent.py b/sdgym/synthesizers/independent.py
index b49ffbce..4ce5319d 100644
--- a/sdgym/synthesizers/independent.py
+++ b/sdgym/synthesizers/independent.py
@@ -45,10 +45,10 @@ def _sample_from_synthesizer(self, synthesizer, n_samples):
         for name, column in transformed.items():
             kind = column.dtype.kind
             if kind == 'O':
-                values = column.sample(self.length, replace=True).to_numpy()
+                values = column.sample(n_samples, replace=True).to_numpy()
             else:
                 model = gm_models.get(name)
-                values = model.sample(self.length)[0].ravel().clip(column.min(), column.max())
+                values = model.sample(n_samples)[0].ravel().clip(column.min(), column.max())
 
             sampled[name] = values
 
diff --git a/sdgym/synthesizers/uniform.py b/sdgym/synthesizers/uniform.py
index adc1cecc..8f5f4fcd 100644
--- a/sdgym/synthesizers/uniform.py
+++ b/sdgym/synthesizers/uniform.py
@@ -49,11 +49,11 @@ def _sample_from_synthesizer(self, synthesizer, n_samples):
         for name, column in transformed.items():
             kind = column.dtype.kind
             if kind == 'i':
-                values = np.random.randint(column.min(), column.max() + 1, size=self.length)
+                values = np.random.randint(column.min(), column.max() + 1, size=n_samples)
             elif kind in ['O', 'b']:
                 values = np.random.choice(column.unique(), size=self.length)
             else:
-                values = np.random.uniform(column.min(), column.max(), size=self.length)
+                values = np.random.uniform(column.min(), column.max(), size=n_samples)
 
             sampled[name] = values