diff --git a/README.md b/README.md
index d671a9c..bc922af 100644
--- a/README.md
+++ b/README.md
@@ -80,7 +80,8 @@ quantification methods based on structured output learning, HDy, QuaNet, quantif
     * 32 UCI Machine Learning datasets.
     * 11 Twitter quantification-by-sentiment datasets.
     * 3 product reviews quantification-by-sentiment datasets. 
-    * 4 tasks from LeQua competition (_new in v0.1.7!_)
+    * 4 tasks from LeQua 2022 competition (_new in v0.1.7!_)
+    * 4 tasks from LeQua 2024 competition (_new in v0.1.9!_)
 * Native support for binary and single-label multiclass quantification scenarios.
 * Model selection functionality that minimizes quantification-oriented loss functions.
 * Visualization tools for analysing the experimental results.