Fix typo

docs/en/advanced_tutorials/data_transform.md

@@ -15,7 +15,7 @@ processed data as a dictionary. A simple example is as belows:
 ```{note}
 In MMEngine, we don't have the implementations of data transforms. you can find the base data transform class
 and many other data transforms in MMCV. So you need to install MMCV before learning this tutorial, see the
-{external+mmcv:doc}`MMCV installation guilds <get_started/installation>`.
+{external+mmcv:doc}`MMCV installation guild <get_started/installation>`.
 ```
 
 ```python
@@ -40,7 +40,7 @@ Usually, a data pipeline consists of the following parts:
 2. Label loading, use [`LoadAnnotations`](mmcv.transforms.LoadAnnotations) to load the bboxes, semantic segmentation and keypoint annotations.
 3. Data processing and augmentation, like [`RandomResize`](mmcv.transforms.RandomResize).
 4. Data formatting, we use different data transforms for different tasks. And the data transform for specified
-   task is implemented in the correspondding repository. For example, the data formatting transform for image
+   task is implemented in the corresponding repository. For example, the data formatting transform for image
    classification task is `PackClsInputs` and it's in MMClassification.
 
 Here, taking the classification task as an example, we show a typical data pipeline in the figure below. For