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  # Dataset & Samples
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  In these files there are following fields:
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- - **sample** is a type the sample for machine learning process (train, val, test);
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  - **H0_H1** is a true hypothesis: if **H0**, then test statistics were simulated under S1(t)=S2(t); if **H1**, then test statistics were simulated under S1(t)≠S2(t);
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  - **Hi** is an alternative hypothesis (H01-H09, H11-H19, or H21-H29) for S1(t) and S2(t). Detailed description of these alternatives can be found in the paper;
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  - **n1** is the size of the sample 1;
 
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  # Dataset & Samples
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  In these files there are following fields:
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+ - **sample** is a type of the sample (train, val, test). These field is need to split dataset into train-validate-test samples for ML-model training;
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  - **H0_H1** is a true hypothesis: if **H0**, then test statistics were simulated under S1(t)=S2(t); if **H1**, then test statistics were simulated under S1(t)≠S2(t);
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  - **Hi** is an alternative hypothesis (H01-H09, H11-H19, or H21-H29) for S1(t) and S2(t). Detailed description of these alternatives can be found in the paper;
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  - **n1** is the size of the sample 1;