diff --git a/qdrant-landing/content/articles/dataset-quality.md b/qdrant-landing/content/articles/dataset-quality.md
index dd278e9db..2c27b2aa9 100644
--- a/qdrant-landing/content/articles/dataset-quality.md
+++ b/qdrant-landing/content/articles/dataset-quality.md
@@ -14,7 +14,7 @@ date: 2022-07-13T013:00:00.000Z
 Nowadays, people create a huge number of applications of various types, and solve problems in different areas.
 Despite such diversity, they have something in common - they need to process data.
 Real world data is a living structure, it grows day by day, changes a lot, becomes harder to work with.
-In some cases, you need to categorize or label data, which can be a tough problem given its scale.
+In some cases, you need to categorize or label your data, which can be a tough problem given its scale.
 The process of splitting or labelling is error-prone and these errors can be very costly.
 Imagine that you failed to achieve the desired quality of the model due to inaccurate labels.
 Worse, your users are faced with a lot of irrelevant items, unable to find what they need, getting annoyed by it.