diff --git a/examples/classification.py b/examples/classification.py
index c9e9f5bf..c0b79926 100644
--- a/examples/classification.py
+++ b/examples/classification.py
@@ -96,7 +96,7 @@ def _make_dataset(training: bool) -> kd.data.Pipeline:
           gm.data.FormatText(
               key=_INPUT_FIELD,
               template="""<start_of_turn>user
-              Please classify whether the following sentence is grammaticaly correct, please answer only with Yes or No.
+              Please classify whether the following sentence is grammatically correct, please answer only with Yes or No.
               Sentence: {text}<end_of_turn>
               <start_of_turn>model""",
           ),
@@ -113,7 +113,7 @@ def _make_dataset(training: bool) -> kd.data.Pipeline:
           gm.data.MapInts(
               key=_LABEL_FIELD,
               # Rather than predicting the token 0 and 1, we are using the
-              # token 1294 and 3553 which respectivelly correspond to "No" and
+              # token 1294 and 3553 which respectively correspond to "No" and
               # "Yes". We do this because those token already contain semantic
               # information, so even zero-shot prediction without any
               # finetuning has better than random performances.