AL preprocessed data used in paper "Multi variables time series information bottleneck"

Preprocessed AL data used in paper "Multi variables time series information bottleneck" with the GitHub code This dataset is created from a public available dataset of solar power data collected in Alabama by NREL. The npz file is a numpy (np) compressed data and can be loaded using np.load with allow_pickle=True Loaded data is then a python dict described bellow. Each sample 'data' is a np.ndarray with 2 dimensions: time (various length) and wavelength (length=137 representing 137 solar plants ordered like in NREL). Each sample is given a 'position' which is a list of length 4: position[1] is a string that gives the name of the event position[4] is a boolean vector that gives the time positionsof the corresponding sample in the original sequence of public IRIS level2 data Data file info : Type: .npz Size: 34.48MB *** Key: 'data_TR_AL' ndarray data of length 161 containing np.ndarray of shapes ['various', 137] *** Key: 'data_VAL_AL' ndarray data of length 11 containing np.ndarray of shapes ['various', 137] *** Key: 'data_TE_AL' ndarray data of length 57 containing np.ndarray of shapes ['various', 137] *** Key: 'data_TR' ndarray data of length 161 containing np.ndarray of shapes ['various', 137] *** Key: 'data_VAL' ndarray data of length 11 containing np.ndarray of shapes ['various', 137] *** Key: 'data_TE' ndarray data of length 57 containing np.ndarray of shapes ['various', 137] *** Key: 'position_TR_AL' ndarray data of length 161 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'} *** Key: 'position_VAL_AL' ndarray data of length 11 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'} *** Key: 'position_TE_AL' ndarray data of length 57 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'} *** Key: 'position_TR' ndarray data of length 161 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'} *** Key: 'position_VAL' ndarray data of length 11 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'} *** Key: 'position_TE' ndarray data of length 57 containing ndarray data of length 4 containing mix of types {'str', 'ndarray', 'int'}