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']