diff --git a/documentation/competitions/AortaSeg24.md b/documentation/competitions/AortaSeg24.md
index 9e0c3526e..bb7040177 100644
--- a/documentation/competitions/AortaSeg24.md
+++ b/documentation/competitions/AortaSeg24.md
@@ -9,7 +9,7 @@ Helmholtz Imaging
 
 # Introduction
 
-This document describes our submission to the [AortaSeg24 Challenge](hhttps://aortaseg24.grand-challenge.org/). 
+This document describes our submission to the [AortaSeg24 Challenge](https://aortaseg24.grand-challenge.org/). 
 Our model is essentially a nnU-Net ResEnc L with modified data augmentation. We disable left/right mirroring and use the heavy data augmentation [DA5 Trainer](../../nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerDA5.py). Training was performed on an A100 40GB GPU.
 
 # Experiment Planning and Preprocessing
diff --git a/nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py b/nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py
index 7fc3da26a..8ac8de5e9 100644
--- a/nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py
+++ b/nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py
@@ -11,7 +11,7 @@
 
 
 def mapping_DS119() -> Dict[int, int]:
-    """Remove all NA Classes and make Class IDs continious"""
+    """Remove all NA Classes and make Class IDs continuous"""
     mapping = {}
     mapping.update({i: i for i in range(1, 19)})  # [1-10]->[1-10] | [11-18]->[11-18]
     mapping.update({i: i - 2 for i in range(21, 29)})  # [21-28]->[19-26]