Update README.md

README.md

@@ -35,8 +35,18 @@ The name *Maya4* draws inspiration from the **Māyā veil** in philosophy, where
 
 Maya4 provides **Pre-Training (PT) dataset** exposing intermediate SAR signal states in a modern  (Zarr Format):  
 
+| 📂 Dataset Split | 📊 Contents | 🛰️ Acquisition Mode | 💾 Size |
+|------------------|-------------|----------------------|---------|
+| **pt1** | [LINK](https://huggingface.co/datasets/Maya4/pt1) | Stripmap | 17 TB |
+| **pt2** | [LINK](https://huggingface.co/datasets/Maya4/pt2) | Stripmap | 17 TB |
+| **pt3** | [LINK](https://huggingface.co/datasets/Maya4/pt3) | Stripmap | 17 TB |
+| **pt4** | [LINK](https://huggingface.co/datasets/Maya4/pt4) | Stripmap | 17 TB |
+| **Total** | — | — | **68 TB** |
+
 
-## 📊 SAR Processing Levels   
+### 📊 Processing Levels
+
+A major characteristic of this dataset lies in its sharding multi-level organisation:
 
 | 🌐 Level | 🔤 Abbrev. | 📝 Description | 🎯 Purpose / Value |
 |----------|-----------|----------------|--------------------|
@@ -47,18 +57,6 @@ Maya4 provides **Pre-Training (PT) dataset** exposing intermediate SAR signal st
 
 ---
 
-## 🛰️ Pre-Train (PT) Dataset
-
-This foundational dataset is split in several sections due to its large size, the following partitions are available:
-
-| 📂 Dataset Split | 📊 Contents | 🛰️ Acquisition Mode | 💾 Size |
-|------------------|-------------|----------------------|---------|
-| **pt1** | [LINK](https://huggingface.co/datasets/Maya4/pt1) | Stripmap | 17 TB |
-| **pt2** | [LINK](https://huggingface.co/datasets/Maya4/pt2) | Stripmap | 17 TB |
-| **pt3** | [LINK](https://huggingface.co/datasets/Maya4/pt3) | Stripmap | 17 TB |
-| **pt4** | [LINK](https://huggingface.co/datasets/Maya4/pt4) | Stripmap | 17 TB |
-| **Total** | — | — | **68 TB** |
-
 
 ### 🌍 PT Use Cases