inaf-oact-ai/solar-flare-hmivideo-datasplits
This dataset is intended to be used for training/testing solar flare forecasting models. It contains various data splits (in json format) of SDO/HMI magnetogram images compiled by Boucheron, L.E., et al., 2023, Sci Data 10, 825, https://doi.org/10.1038/s41597-023-02628-8 and arranged in 16 video frames with different frame cadence (32 min, 76 min). Splits "train_72min" ("train_36min"), "val_72min" ("val_36min"), "test_72min" ("val_36min") corresponds to the original data splits provided by… See the full description on the dataset page: https://huggingface.co/datasets/inaf-oact-ai/solar-flare-hmivideo-datasplits.
This dataset is intended to be used for training/testing solar flare forecasting models. It contains various data splits (in json format) of SDO/HMI magnetogram images compiled by Boucheron, L.E., et al., 2023, Sci Data 10, 825, https://doi.org/10.1038/s41597-023-02628-8 and arranged in 16 video frames with different frame cadence (32 min, 76 min).
Splits "train72min" ("train36min"), "val72min" ("val36min"), "test72min" ("val36min") corresponds to the original data splits provided by Boucheron et al. using different frame cadences (32 min, 72 min), while the other splits (labelled as "downsampled") are created by downsampling the No-Flare and C flare class to obtain more balanced splits and mitigate class imbalance.