diff --git a/.all-contributorsrc b/.all-contributorsrc
index e24137f4f0..ec46ba67cc 100644
--- a/.all-contributorsrc
+++ b/.all-contributorsrc
@@ -2396,6 +2396,15 @@
       "contributions": [
         "doc"
       ]
+    },
+    {
+      "login": "RishavKumarSinha",
+      "name": "Rishav Kumar Sinha",
+      "avatar_url": "https://avatars.githubusercontent.com/u/136772607?s=400&v=4",
+      "profile": "https://github.com/RishavKumarSinha",
+      "contributions": [
+        "doc"
+      ]
     }
   ],
   "commitType": "docs"
diff --git a/aeon/datasets/tests/test_load_forecasting.py b/aeon/datasets/tests/test_load_forecasting.py
index 6a293bc6ec..7f0043800c 100644
--- a/aeon/datasets/tests/test_load_forecasting.py
+++ b/aeon/datasets/tests/test_load_forecasting.py
@@ -38,8 +38,8 @@ def test_forecasting_data_loaders(dataset):
 
     dataset: dictionary with values to assert against should contain:
         'columns' : list with column names in correct order,
-        'len_y'   : lenght of the y series (int),
-        'len_X'   : lenght of the X series/dataframe (int),
+        'len_y'   : length of the y series (int),
+        'len_X'   : length of the X series/dataframe (int),
         'data_types_X' : dictionary with column name keys and dtype as value,
         'data_type_y'  : dtype if y column (string)
         'data'    : tuple with y series and X series/dataframe if one is not
diff --git a/aeon/transformations/outlier_detection.py b/aeon/transformations/outlier_detection.py
index a3d5a2f54e..d83e45e15e 100644
--- a/aeon/transformations/outlier_detection.py
+++ b/aeon/transformations/outlier_detection.py
@@ -21,7 +21,7 @@ class HampelFilter(BaseTransformer):
     Parameters
     ----------
     window_length : int, default=10
-        Lenght of the sliding window
+        Length of the sliding window
     n_sigma : int, optional
         Defines how strong a point must outly to be an "outlier", by default 3
     k : float, optional