diff --git a/aeon/datasets/_data_writers.py b/aeon/datasets/_data_writers.py
index 93c7f3e552..93936f3437 100644
--- a/aeon/datasets/_data_writers.py
+++ b/aeon/datasets/_data_writers.py
@@ -10,12 +10,13 @@
 from deprecated.sphinx import deprecated
 
 from aeon.utils.conversion import convert_collection
-from aeon.utils.validation import has_missing, is_equal_length
 from aeon.utils.validation.collection import (
     get_n_cases,
     get_n_channels,
     get_n_timepoints,
+    has_missing,
     is_collection,
+    is_equal_length,
 )
 from aeon.utils.validation.labels import check_classification_y, check_regression_y
 
diff --git a/aeon/transformations/collection/unequal_length/_pad.py b/aeon/transformations/collection/unequal_length/_pad.py
index c127a1cc19..ea0f09409e 100644
--- a/aeon/transformations/collection/unequal_length/_pad.py
+++ b/aeon/transformations/collection/unequal_length/_pad.py
@@ -21,7 +21,7 @@ class Padder(BaseCollectionTransformer):
 
     Parameters
     ----------
-    padded_length  : int, "min" or "max", default="min"
+    padded_length  : int, "min" or "max", default="max"
         Length to pad the series to. If "min", will pad the transformed series to the
         shortest series seen in ``fit``. If "max", will pad to the longest series seen
         in ``fit``. If an integer, will pad to that length.
@@ -71,7 +71,7 @@ def __init__(
         self,
         padded_length="max",
         fill_value=0,
-        add_noise=False,
+        add_noise=None,
         error_on_long=True,
         random_state=None,
     ):
diff --git a/aeon/transformations/collection/unequal_length/_resize.py b/aeon/transformations/collection/unequal_length/_resize.py
index 0adee0b7b2..1df4136ed5 100644
--- a/aeon/transformations/collection/unequal_length/_resize.py
+++ b/aeon/transformations/collection/unequal_length/_resize.py
@@ -21,7 +21,7 @@ class Resizer(BaseCollectionTransformer):
 
     Parameters
     ----------
-    resized_length  : int, "min" or "max", default="min"
+    resized_length  : int, "min" or "max", default="max"
         Length to resize the series to. If "min", will resize the transformed series
         to the shortest series seen in ``fit``. If "max", will resize to the longest
         series seen in ``fit``. If an integer, will resize to that length.