Update README.md

README.md

@@ -6,6 +6,12 @@ license: cc-by-4.0
 - [Petr PHILONENKO](https://orcid.org/0000-0002-6295-4470), Ph.D. in Computer Science;
 - [Sergey POSTOVALOV](https://orcid.org/0000-0003-3718-1936), D.Sc. in Computer Science.
 
+# About
+This dataset is a supplement to the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning. 
+The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t) and S2(t) are survival functions of samples X1 and X2.
+
+This dataset contains the synthetic data simulated by the Monte Carlo method and Inverse Transform Sampling.
+
 **Contents**
 - [About](#about)
 - [Citing](#citing)
@@ -15,12 +21,6 @@ license: cc-by-4.0
     - [main.cpp](#maincpp)
     - [simulation_for_machine_learning.h](#simulation_for_machine_learningh)
 
-# About
-This dataset is a supplement to the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning. 
-The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t) and S2(t) are survival functions of samples X1 and X2.
-
-This dataset contains the synthetic data simulated by the Monte Carlo method and Inverse Transform Sampling.
-
 # Citing
 ~~~
 @misc {petr_philonenko_2024,