diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 0987bad90..d6fe630d3 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -7,20 +7,20 @@ files: |
   )/.*\.py$
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.10
+    rev: v0.16.0
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix, --no-cache]
       - id: ruff-format
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.13.0
+    rev: v2.3.0
     hooks:
       - id: mypy
         additional_dependencies:
           - types-requests
           - types-python-dateutil
   - repo: https://github.com/python-jsonschema/check-jsonschema
-    rev: 0.29.4
+    rev: 0.37.4
     hooks:
       - id: check-github-workflows
         files: '^github/workflows/.*\.ya?ml$'
@@ -28,7 +28,7 @@ repos:
       - id: check-dependabot
         files: '^\.github/dependabot\.ya?ml$'
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: check-added-large-files
         files: ".*"
diff --git a/openml/cli.py b/openml/cli.py
index 1415d0af9..323fdde99 100644
--- a/openml/cli.py
+++ b/openml/cli.py
@@ -254,7 +254,7 @@ def autocomplete_policy(policy: str) -> str:
 
 def configure_field(  # noqa: PLR0913
     field: str,
-    value: None | str,
+    value: str | None,
     check_with_message: Callable[[str], str],
     intro_message: str,
     input_message: str,
diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index 59d6205ba..2fbb69a5c 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -838,7 +838,7 @@ def _load_qualities(self) -> None:
         else:
             self._qualities = _read_qualities(qualities_file)
 
-    def retrieve_class_labels(self, target_name: str = "class") -> None | list[str]:
+    def retrieve_class_labels(self, target_name: str = "class") -> list[str] | None:
         """Reads the datasets arff to determine the class-labels.
 
         If the task has no class labels (for example a regression problem)