---
license: mit
tags:
  - solar-physics
  - solar-active-regions
  - segmentation
  - polarity-inversion-lines
  - space-weather
---

# Binary Map Creator for Active Regions with Polarity Inversion Lines

## Dataset Summary

This dataset provides binary segmentation maps (4096×4096 resolution) derived from Solar Dynamics Observatory (SDO) magnetograms. The maps highlight regions containing Active Regions (ARs) and Polarity Inversion Lines (PILs). The data spans observations from May 2010 to July 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 embedded PILs.

## Dataset Structure

### Data Files

- `train.csv`: Data from weeks 7–52 of each year (2010–2019, day index `[42:-1]`)
- `val.csv`: Data from weeks 3–4 of each year (2010–2019, day index `[14:28]`)
- `test.csv`: Data from weeks 1–52 of each year (2020–2024, day index `[:]`)
- `val_data_leaky.csv`: Data from weeks 1–2 and 5–6 of each year (2010–2019, day index `[0:14]`)

### 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 10, 2010 – Dec 31, 2024 |
| **Data Format** | HDF5 (.h5) |
| **Data Shape** | [1, 4096, 4096] per file |
| **Total Instances** | Total 128,352 instances |
| **Size per File** | ~ 53kB |
| **Total Dataset Size** | ~ 1.2GB |