code: def load_covid_3month(split=None, return_X_y=True):
      """Load dataset of last three months confirmed covid cases.
  
      Parameters
      ----------
      split: None or str{"train", "test"}, optional (default=None)
          Whether to load the train or test partition of the problem. By
          default, it loads both.
      return_X_y: bool, optional (default=True)
          If True, returns (features, target) separately instead of a single
          dataframe with columns for
          features and the target.
  
      Returns
      -------
      X: pd.DataFrame with m rows and c columns
          The time series data for the problem with m cases and c dimensions
      y: numpy array
          The regression values for each case in X
  
      Examples
      --------
      >>> from sktime.datasets import load_covid_3month
      >>> X, y = load_covid_3month()
  
      Notes
      -----
      Dimensionality:     univariate
      Series length:      84
      Train cases:        140
      Test cases:         61
      Number of classes:  -
  
      The goal of this dataset is to predict COVID-19's death rate on 1st April 2020 for
      each country using daily confirmed cases for the last three months. This dataset
      contains 201 time series with no missing values, where each time series is
      the daily confirmed cases for a country.
      The data was obtained from WHO's COVID-19 database.
      Please refer to https://covid19.who.int/ for more details
  
      Dataset details: https://zenodo.org/record/3902690#.Yy1z_HZBxEY
      =Covid3Month
      """
      name = "Covid3Month"
      return _load_dataset(name, split, return_X_y)
  
imports: import os
  import zipfile
  from urllib.error import HTTPError, URLError
  from warnings import warn
  import numpy
  import pandas
  from sktime.datasets._data_io import _download_and_extract, _list_available_datasets, _load_dataset, _load_provided_dataset
  from sktime.datasets._readers_writers.tsf import load_tsf_to_dataframe
  from sktime.datasets.tsf_dataset_names import tsf_all, tsf_all_datasets
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 23 for calling a global function with example usage: load_covid_3month(split, return_X_y) and returns: _load_dataset