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README.md

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-title: README
-emoji: 🏢
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+title: Maya4
+emoji: 📊
+colorFrom: indigo
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+pinned: true
+license: apache-2.0
+thumbnail: >-
+  https://cdn-uploads.huggingface.co/production/uploads/68a43a86eea45496edb28ba6/hJyITwdmrofMtEtX8qFmW.png
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-Edit this `README.md` markdown file to author your organization card.
+# 🏢 Maya4  
+
+🌌 **Maya4** is an organization dedicated to curating and providing **multi-level SAR signal representations** from **Sentinel-1 Stripmap** acquisitions.  
+
+The name *Maya4* is inspired by the **Māyā veil** concept in philosophy, where reality is hidden behind layers—just as radar signals pass through successive transformations before forming an image.  
+
+---
+
+## 🚀 Mission  
+
+- 📡 Collect and structure **Sentinel-1 Stripmap SAR data**  
+- 🧩 Provide **intermediate signal representations** for research & ML pre-training  
+- ☁️ Enable scalable, cloud-native access with **Zarr format**  
+
+---
+
+## 📦 Pre-Training Dataset Spaces  
+
+Maya4 hosts **Pre-Train (PT) datasets** structured into multiple levels of SAR processing:  
+
+- 📡 **Raw** → Original SAR echoes  
+- 🎚️ **RC** → Range Compressed  
+- 🎯 **RCMC** → Range Cell Migration Corrected  
+- 🖼️ **Azimuth Compressed**  
+
+---
+
+## 🌍 Use Cases  
+
+- 🤖 **Self-supervised pre-training** of SAR models  
+- 🛰️ **Representation learning** for radar signals  
+- 🔬 **Downstream applications**: classification, detection, reconstruction  
+
+---
+
+## 🙏 Acknowledgements  
+
+- 🛰️ Data provided under the **Copernicus Sentinel-1 mission (ESA)**  
+- 🏢 Curated and maintained by the **Maya4 organization**