<jupyter_start><jupyter_text>Load data<jupyter_code>X_train = np.load('./dataset-n15-X-train.npy')
X_valid = np.load('./dataset-n15-X-validate.npy')
y_train = np.load('./dataset-n15-y-train.npy')
y_valid = np.load('./dataset-n15-y-validate.npy')<jupyter_output><empty_output><jupyter_text>Train dataset exploring<jupyter_code>visualization.dataset_classes_summary(y_train, 'Train data')<jupyter_output>Total number of data: 34932275
Number of A: 6694158
Number of C: 4158060
Number of G: 4150797
Number of T: 6671367
Number of I: 13062694
Number of D: 195199<jupyter_text>Valid dataset exploring<jupyter_code>visualization.dataset_classes_summary(y_valid, 'Valid data')<jupyter_output>Total number of data: 3881364
Number of A: 743924
Number of C: 461213
Number of G: 461596
Number of T: 741132
Number of I: 1452024
Number of D: 21475
StarcoderdataJupyterStructuredCleanDedup