diff --git a/site/en/tutorials/structured_data/time_series.ipynb b/site/en/tutorials/structured_data/time_series.ipynb
index 31aab384859..b909c940857 100644
--- a/site/en/tutorials/structured_data/time_series.ipynb
+++ b/site/en/tutorials/structured_data/time_series.ipynb
@@ -813,7 +813,7 @@
       "source": [
         "Typically, data in TensorFlow is packed into arrays where the outermost index is across examples (the \"batch\" dimension). The middle indices are the \"time\" or \"space\" (width, height) dimension(s). The innermost indices are the features.\n",
         "\n",
-        "The code above took a batch of three 7-time step windows with 19 features at each time step. It splits them into a batch of 6-time step 19-feature inputs, and a 1-time step 1-feature label. The label only has one feature because the `WindowGenerator` was initialized with `label_columns=['T (degC)']`. Initially, this tutorial will build models that predict single output labels."
+        "The code above took three batches of a 7-time step windows with 19 features at each time step. It splits them into three batches of a 6-time step 19-feature inputs, and a 1-time step 1-feature label. The label only has one feature because the `WindowGenerator` was initialized with `label_columns=['T (degC)']`. Initially, this tutorial will build models that predict single output labels."
       ]
     },
     {