diff --git a/content/docs/start/data-pipelines.md b/content/docs/start/data-pipelines.md
index 3872ea6edfe..e247403f3c7 100644
--- a/content/docs/start/data-pipelines.md
+++ b/content/docs/start/data-pipelines.md
@@ -300,9 +300,9 @@ important problems:
   data to use and what commands to run to produce an ML model. Storing these
   files in Git makes it easy to version and share.
 - _Continuous Delivery and Continuous Integration (CI/CD) for ML_ - reproducible
-  ML pipelines allow CI/CD systems to retrain models on fresh
-  datasets with identical preprocessing and training stages, version upstream
-  models and datasets, and easily
+  ML pipelines allow CI/CD systems to retrain models on fresh datasets with
+  identical preprocessing and training stages, version upstream models and
+  datasets, and easily
   [compare](https://dvc.org/doc/start/experiments#comparing-experiments) metrics
   with currently deployed models.