diff --git a/docs/developer_guides/viewer/local_viewer.md b/docs/developer_guides/viewer/local_viewer.md
index ef8b1ac1f..b2a36171a 100644
--- a/docs/developer_guides/viewer/local_viewer.md
+++ b/docs/developer_guides/viewer/local_viewer.md
@@ -1,6 +1,6 @@
 # (Legacy Viewer) Local Server
 
-**Note:** this doc only applies to the legacy version of the viewer, which was the default in in Nerfstudio versions `<=0.3.4`. It was deprecated starting Nerfstudio version `1.0.0`, where it needs to be opted into via the `--vis viewer_legacy` argument.
+**Note:** this doc only applies to the legacy version of the viewer, which was the default in Nerfstudio versions `<=0.3.4`. It was deprecated starting Nerfstudio version `1.0.0`, where it needs to be opted into via the `--vis viewer_legacy` argument.
 
 ---
 
diff --git a/nerfstudio/data/utils/pixel_sampling_utils.py b/nerfstudio/data/utils/pixel_sampling_utils.py
index ae77b3287..717124f76 100644
--- a/nerfstudio/data/utils/pixel_sampling_utils.py
+++ b/nerfstudio/data/utils/pixel_sampling_utils.py
@@ -23,7 +23,7 @@ from torch import Tensor
 
 
 def dilate(tensor: Float[Tensor, "bs 1 H W"], kernel_size=3) -> Float[Tensor, "bs 1 H W"]:
-    """Dilate a tensor with 0s and 1s. 0s will be be expanded based on the kernel size.
+    """Dilate a tensor with 0s and 1s. 0s will be expanded based on the kernel size.
 
     Args:
         kernel_size: Size of the pooling region. Dilates/contracts 1 pixel if kernel_size is 3.
diff --git a/nerfstudio/utils/tensor_dataclass.py b/nerfstudio/utils/tensor_dataclass.py
index 293d978d7..fb3331a35 100644
--- a/nerfstudio/utils/tensor_dataclass.py
+++ b/nerfstudio/utils/tensor_dataclass.py
@@ -280,7 +280,7 @@ class TensorDataclass:
     ) -> TensorDataclassT:
         """Applies a function to all fields of the tensor dataclass.
 
-        TODO: Someone needs to make a high level design choice for whether not not we want this
+        TODO: Someone needs to make a high level design choice for whether or not we want this
         to apply the function to any fields in arbitray superclasses. This is an edge case until we
         upgrade to python 3.10 and dataclasses can actually be subclassed with vanilla python and no
         janking, but if people try to jank some subclasses that are grandchildren of TensorDataclass