Update README.md

README.md

@@ -29,12 +29,6 @@ where only a subset of features are informative for the classification task.
 - **Mutual Information (joint)**: 1.1819
 - **Maximum Achievable Accuracy**: 0.8967
 
-### Supported Tasks
-
-- `tabular-classification`: The dataset can be used to train models for multi-class classification tasks.
-- Sparse learning research: Study the effectiveness of feature selection and sparse representation learning.
-- Mutual information estimation: Benchmark MI estimation algorithms using the provided ground-truth MI values.
-
 ## Dataset Structure
 
 ### Data Instances