diff --git a/.github/workflows/lint-global.yml b/.github/workflows/lint-global.yml
index 95f9957b5309..031bac502548 100644
--- a/.github/workflows/lint-global.yml
+++ b/.github/workflows/lint-global.yml
@@ -15,4 +15,4 @@ jobs:
       - name: Lint Markdown and TOML
         uses: dprint/check@v2.2
       - name: Spell Check with Typos
-        uses: crate-ci/typos@v1.26.8
+        uses: crate-ci/typos@v1.27.2
diff --git a/py-polars/requirements-lint.txt b/py-polars/requirements-lint.txt
index b6c173bf8320..9c216431c84c 100644
--- a/py-polars/requirements-lint.txt
+++ b/py-polars/requirements-lint.txt
@@ -1,3 +1,3 @@
 mypy[faster-cache]==1.13.0
 ruff==0.7.1
-typos==1.26.8
+typos==1.27.2
diff --git a/py-polars/tests/unit/constructors/test_dataframe.py b/py-polars/tests/unit/constructors/test_dataframe.py
index 251ec5e7bce2..e885919294d1 100644
--- a/py-polars/tests/unit/constructors/test_dataframe.py
+++ b/py-polars/tests/unit/constructors/test_dataframe.py
@@ -59,7 +59,7 @@ def test_df_init_from_generator_dict_view() -> None:
     data = {
         "keys": d.keys(),
         "vals": d.values(),
-        "itms": d.items(),
+        "items": d.items(),
     }
     with pytest.raises(TypeError, match="unexpected value"):
         pl.DataFrame(data, strict=True)
@@ -68,12 +68,12 @@ def test_df_init_from_generator_dict_view() -> None:
     assert df.schema == {
         "keys": pl.Int64,
         "vals": pl.String,
-        "itms": pl.List(pl.String),
+        "items": pl.List(pl.String),
     }
     assert df.to_dict(as_series=False) == {
         "keys": [0, 1, 2],
         "vals": ["x", "y", "z"],
-        "itms": [["0", "x"], ["1", "y"], ["2", "z"]],
+        "items": [["0", "x"], ["1", "y"], ["2", "z"]],
     }
 
 
@@ -86,19 +86,19 @@ def test_df_init_from_generator_reversed_dict_view() -> None:
     data = {
         "rev_keys": reversed(d.keys()),
         "rev_vals": reversed(d.values()),
-        "rev_itms": reversed(d.items()),
+        "rev_items": reversed(d.items()),
     }
-    df = pl.DataFrame(data, schema_overrides={"rev_itms": pl.Object})
+    df = pl.DataFrame(data, schema_overrides={"rev_items": pl.Object})
 
     assert df.schema == {
         "rev_keys": pl.Int64,
         "rev_vals": pl.String,
-        "rev_itms": pl.Object,
+        "rev_items": pl.Object,
     }
     assert df.to_dict(as_series=False) == {
         "rev_keys": [2, 1, 0],
         "rev_vals": ["z", "y", "x"],
-        "rev_itms": [(2, "z"), (1, "y"), (0, "x")],
+        "rev_items": [(2, "z"), (1, "y"), (0, "x")],
     }