======== Datasets ======== The library provides a diverse collection of datasets, each exhibiting specific patterns, trends, fields, challenges, or exceptions. These datasets can be loaded as follows: .. code-block:: python from imputegap.recovery.manager import TimeSeries from imputegap.tools import utils ts_1 = TimeSeries() ts_1.load_series(utils.search_path("eeg-alcohol"), max_series=5, max_values=15) You can find the complete list of available datasets at the following link: `Datasets `_ Alternatively, you can import your own dataset by specifying its local path, ensuring that it meets the specific requirements of ImputeGAP.