Create README.md

README.md

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+---
+license: cc-by-4.0
+pretty_name: SDOML-lite
+size_categories:
+- 100K<n<1M
+---
+
+# SDOML-lite
+
+SDOML-lite is a lightweight alternative to the SDOML dataset specifically designed for machine learning applications in solar physics, providing continuous full-disk images of the Sun with magnetic field and extreme ultraviolet data in several wavelengths. The data source is the [Solar Dynamics Observatory (SDO)](https://sdo.gsfc.nasa.gov/) space telescope, a NASA mission that has been in operation since 2010.
+
+NASA's SDO mission has produced more than 20 petabytes of high-resolution solar image data since its launch in 2010. This data holds significant potential for a range of scientific and machine learning applications, including space weather prediction, climate and heliophysics modeling, spatiotemporal forecasting of solar activity, image-to-image translation, analysis of active region evolution, and flare prediction. However, the scale and format of the original archive have posed barriers to entry for ML practitioners. SDOML-lite addresses this by providing a curated and normalized subset of SDO data in a format suitable for large-scale machine learning workflows.
+
+_IMPORTANT: SDOML and SDOML-lite datasets are different in structure and data distributions. SDOML-lite is inspired by SDOML, but it is not based on SDOML data and there is no compatibility between the two formats._
+
+* **Temporal Coverage:** 13 May 2010 - 31 July 2024
+* **Data Source:** NASA SDO/AIA (Level 1 FITS files) and SDO/HMI (`hmi.M_720s` series data)
+* **Format:** WebDataset (one TAR file per day, `sdoml-lite-xxxx.tar`)
+* **Total Size:** Approximately 3 TB
+* **Number of Chunks (Days):** 5194
+* **Image Resolution:** 512x512 pixels for all channels
+* **Data Type:** `float32` (NumPy `.npy` files)
+- **Channels per sample**: 6 (separate `.npy` files per channel)
+    * AIA: 131 Å, 171 Å, 193 Å, 211 Å, 1600 Å (`aia_0131`, `aia_0171`, `aia_0193`, `aia_211`, `aia_1600`)
+    * HMI: Line-of-sight magnetogram (`hmi_m`)
+* **Cadence:** Images are provided every 15 minutes within each daily TAR file. Each TAR file contains up to 96 observation sets.