docs: fix 3 typos in SDK docstrings and comments

libs/labelbox/src/labelbox/data/annotation_types/data/raster.py

@@ -207,7 +207,7 @@ class MaskData(RasterData):
     single cell, only one class can be present. All Mask data is
     converted to a [H,W,3] image. Classes are
 
-    >>> # 3x3 mask with two classes and back ground
+    >>> # 3x3 mask with two classes and background
     >>> MaskData.from_2D_arr([
     >>>    [0, 0, 0],
     >>>    [1, 1, 1],

libs/labelbox/src/labelbox/data/serialization/ndjson/converter.py

@@ -19,7 +19,7 @@ def serialize(
         Converts a labelbox common object to the labelbox ndjson format (prediction import format)
 
         Note that this function might fail for objects that are not supported by mal.
-        Not all edge cases are handling by custom exceptions, if you get a cryptic pydantic error message it is probably due to this.
+        Not all edge cases are handled by custom exceptions, if you get a cryptic pydantic error message it is probably due to this.
         We will continue to improve the error messages and add helper functions to deal with this.
 
         Args:

libs/labelbox/src/labelbox/schema/batch.py

@@ -88,7 +88,7 @@ def remove_queued_data_rows(self) -> None:
     def delete(self) -> None:
         """Deletes the given batch.
 
-        Note: Batch deletion for batches that has labels is forbidden.
+        Note: Batch deletion for batches that have labels is forbidden.
 
         Args:
             batch (Batch): Batch to remove queued data rows from