diff --git a/docs/source/libero.mdx b/docs/source/libero.mdx
index 338b41a6d..ac5988ceb 100644
--- a/docs/source/libero.mdx
+++ b/docs/source/libero.mdx
@@ -20,7 +20,7 @@ Together, these suites cover **130 tasks**, ranging from simple object manipulat
 
 At **LeRobot**, we ported [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) into our framework and used it primarily to **benchmark [SmolVLA](https://huggingface.co/docs/lerobot/en/smolvla)**, our lightweight Vision-Language-Action model, comparing it against state-of-the-art VLA models such as Pi0, OpenVLA, Octo, and Diffusion Policy. 
 
-LIBERO is now part of our **multi-eval supported simulation**, meaning you can benchmark your policies either on a **single suite of tasks** or across **multiple suites at once** with just a flag.
+LIBERO is now part of our **multi-eval supported simulation**, allowing you to benchmark your policies either on a **single suite of tasks** or across **multiple suites at once** with just a single flag.
 
 To Install LIBERO, after following LeRobot official instructions, just do:
 `pip install -e ".[libero]"`