text: import xgboost as xgb
  from sklearn.datasets import fetch_covtype
  from sklearn.model_selection import train_test_split
  
  
  def load_train_test_data():
      # Fetch dataset using sklearn
      dataset = fetch_covtype()
      X = dataset.data
      y = dataset.target
  
      # Create 0.75/0.25 train/test split
      X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, train_size=0.75, random_state=0)
  
      # Convert input data from numpy to XGBoost format
      dtrain = xgb.DMatrix(X_train, label=y_train)
      dtest = xgb.DMatrix(X_test, label=y_test)
  
      return dtrain, dtest
  