Update README.md

README.md

@@ -14,7 +14,7 @@ This dataset contains the synthetic data simulated by the Monte Carlo method and
 
 # Repository
 
-This dataset has following structure:
+The files of this dataset has following structure:
 ~~~
 data
 ├── 1_raw
@@ -32,13 +32,37 @@ data
 
 # Dataset & Samples
 In these files there are following fields:
-- **sample** is a sample type (train, val, test);
-- **H0_H1** is a true hypothesis (H0 or H1);
-- **Hi** is an alternative hypothesis (H01-H09, H11-H19, or H21-H29);
-- **n1** is the size of sample 1;
-- **n2** is the size of sample 2;
+- **sample** is a type the sample for machine learning process (train, val, test);
+- **H0_H1** is a true hypothesis: **H0** when test statistics simulated have S1(t)=S2(t) and **H1** when test statistics simulated have S1(t)≠S2(t);
+- **Hi** is an alternative hypothesis (H01-H09, H11-H19, or H21-H29). Detailed description of these alternatives can be find in the paper;
+- **n1** is the size of the sample 1;
+- **n2** is the size of the sample 2;
+- **perc** is a set (expected) censoring rate for the samples 1 and 2;
 - **real_perc1** is an actual censoring rate of sample 1;
 - **real_perc2** is an actual censoring rate of sample 2;
-- **perc** is the set censoring rate for the samples 1 and 2;
-- **Peto_test**, **Gehan_test**, **logrank_test**, **CoxMantel_test**, **BN_GPH_test**, **BN_MCE_test**, **BN_SCE_test**, **Q_test**, **MAX_Value_test**, **MIN3_test**, **WLg_logrank_test**, **WLg_TaroneWare_test**, **WLg_Breslow_test**, **WLg_PetoPrentice_test**, **WLg_Prentice_test**, **WKM_test** are test statistics of classical two-sample tests under right-censored data;
-- **CatBoost_test**, **XGBoost_test**, **LightAutoML_test**, **SKLEARN_RF_test**, **SKLEARN_LogReg_test**, **SKLEARN_GB_test** are test statistics of the proposed ML-based methods.
+- **Peto_test**,
+- **Gehan_test**,
+- **logrank_test**,
+- **CoxMantel_test**,
+- **BN_GPH_test**,
+- **BN_MCE_test**,
+- **BN_SCE_test**,
+- **Q_test**,
+- **MAX_Value_test**,
+- **MIN3_test**,
+- **WLg_logrank_test**,
+- **WLg_TaroneWare_test**,
+- **WLg_Breslow_test**,
+- **WLg_PetoPrentice_test**,
+- **WLg_Prentice_test**,
+- **WKM_test** are test statistics of classical two-sample tests under right-censored data;
+- **CatBoost_test**,
+- **XGBoost_test**,
+- **LightAutoML_test**,
+- **SKLEARN_RF_test**,
+- **SKLEARN_LogReg_test**,
+- **SKLEARN_GB_test** are test statistics of the proposed ML-based methods.
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