Update README.md

README.md

@@ -6,7 +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.
 
+# Table of Contents
 [About](#about)
+[Citing](#citing)
+[Repository](#repository)
+[Fields](#fields)
+[Simulation](#simulation)
 
 # 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. 
@@ -44,7 +49,7 @@ data
 - **sample_train.tsv.gz** and **sample_simulation.tsv.gz** are train and test samples splited from the **two_sample_problem_dataset.tsv.gz**. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), these files must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/2_samples/_
 - **dataset_with_ML_pred.tsv.gz** is the test sample supplemented by the predictions of the proposed ML-methods. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), this file must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/3_dataset_with_ML_pred/_
 
-# Dataset & Samples
+# Fields
 In these files, there are following fields:
 
 1) PARAMETERS OF SAMPLE SIMULATION
@@ -84,11 +89,11 @@ In these files, there are following fields:
 - **SKLEARN_LogReg_test** is a statistic of the proposed ML-method based on Logistic Regression (implemented in sklearn);
 - **SKLEARN_GB_test** is a statistic of the proposed ML-method based on Gradient Boosting Machine (implemented in sklearn).
 
-# Dataset Simulation
+# Simulation
 
 For this dataset, the full source code (C++) is available [here](https://github.com/pfilonenko/ML_for_TwoSampleTesting/tree/main/dataset/simulation). 
 It makes possible to reproduce and extend the simulation by the Monte Carlo method. Here, we present two fragments of the source code (**main.cpp** and **simulation_for_machine_learning.h**) which can help to understand the main steps of the simulation process.
-> main.cpp
+### main.cpp
 ```C++
 #include"simulation_for_machine_learning.h"
 
@@ -180,7 +185,7 @@ int main()
 	return 0;
 }
 ```
-> simulation_for_machine_learning.h
+### simulation_for_machine_learning.h
 ```C++
 #ifndef simulation_for_machine_learning_H
 #define simulation_for_machine_learning_H