IRIS Multiple Instance Learning Dataset

This dataset contains the data for the paper 'Using Multiple Instance Learning for Explainable Solar Flare Prediction' (arxiv pre-print) . It comes as a compressed Python Numpy-File and contains the following variables: Name Shape Description data (10'000, 1100, 240) 10'000 Bags of zero-padded spectrograms data_scaled (10'000, 1100, 240) Like data, but standard-scaled masks (10'000, 1100) Masks that indicate where spectrograms have been zero-padded groups (10'000,) Observation group the bag is assigned to obs_ids (10'000,) Observation ID the bag is assigned to obs_classes (10'000,) Observation class (AR/PF) the bag is assigned to raster_pos (10'000,) Raster position number the bag was taken from (always 0 for sit-and-stare) folds (10'000,) Validation fold for the particular observation group To load the e.g. the variable 'data', use Python and Numpy: import numpy as np
f = np.load("IRISMIL_dataset_10000_bags.npz", allow_pickle=True)
f['data']