metadata
license: mit
tags:
- solar-physics
- solar-active-regions
- segmentation
- polarity-inversion-lines
- space-weather
pretty_name: ARPIL
configs:
- config_name: default
default: true
data_files:
- split: train
path: train.csv
- split: validation
path: validation.csv
- split: test
path: test.csv
- split: leaky_validation
path: leaky_validation.csv
A Dataset of Binary Maps of Active Regions with Polarity Inversion Lines
Dataset Summary
This dataset provides hourly binary segmentation maps (4096×4096 resolution) derived from Solar Dynamics Observatory (SDO) / Helioseismic and Magnetic Imager (HMI) line-of-sight magnetograms. The maps highlight regions containing Active Regions (ARs) and Polarity Inversion Lines (PILs). The dataset spans observations from May 13, 2010 to December 31, 2024 and is intended for image segmentation tasks using full-disk 4096×4096 magnetogram rasters as input.
Supported Tasks and Applications
segmentation: Binary segmentation of solar magnetograms to identify ARs with strong PILs.
Dataset Structure
Data Files
train.csv: Instances from Feb 15 to Dec 31 of each year between 2010–2019, day index[45:]validation.csv: Instances from Jan 15 to Jan 31 of each year between 2010–2019, day index[14:31]test.csv: All instances from each year between 2020–2024, day index[:]leaky_validation.csv: Instances from Jan 1 to 14 and Feb 1-14 of each year between 2010–2019, day indices[0:14]and[31:45]
Features
Each .h5 file contains two keys:
intersection: Binary map of polarity inversion lines (PILs)union_with_intersect: Binary map of active regions that contain PILs
Dataset Details
| Field | Description |
|---|---|
| Temporal Coverage | May 13, 2010 – Dec 31, 2024 |
| Data Format | HDF5 (.h5) |
| Data Shape | [2, 4096, 4096] per file |
| Total Instances | Total 128,352 instances |
| Cadence | 1 hour |
| Size per File | ~ 53kB |
| Total Dataset Size | ~ 1.2GB |
Authors
- Jinsu Hong, jhong36@gsu.edu
- Kang Yang, kyang30@gsu.edu
- Berkay Aydin, baydin2@gsu.edu