Update README.md

README.md

@@ -61,7 +61,19 @@ pretty_name: NestEO Prototype
 # configs:
 #   - config_name: default
 #     data_files: metadata_current/scene_parameters/newsat*.parquet
+---
 
+---
+configs:
+  - config_name: grids_selected_1200m          # appears in the drop-down
+    default: true                              # <- this is what the viewer shows first
+    data_files:
+      - split: train
+        path: "grids/grids_selected/selected_1200m_grid.parquet"
+  <!-- - config_name: legacy_full_grid              # keep the old file available
+    data_files:
+      - split: train
+        path: "old_folder/old_grid.parquet"    # adjust to real path -->
 
 ---
 
@@ -72,46 +84,67 @@ NestEO is a hierarchical, resolution-aligned, UTM-based nested grid dataset fram
 
 **Grid Levels**: 120000m, 12000m, 2400m, 1200m, 600m, 300m, 150m  
 **Grid Metadata**: ESA WorldCover proportions, GHSL, Köppen Climate  
-**Current Datasets**: Wyvren Hyperspectral, Satellogic Newsat  
+**Current Sample Datasets**: Wyvren Hyperspectral, Satellogic Newsat, Sentinel-2, Sentinel-1, Sentinel-3
 **Zones**: UTM 1N–60N, 1S–60S and Polar North/South
 **Formats**: Parquet, GeoParquet, Zarr (planned)
 **License**: CC-BY-4.0  
 **More Info**: See [paper](link), [GitHub](https://github.com/mbzuai-oryx/NestEO).  
 
 
-## Directory Structure
+## Directory Structure Scaffold
 
 ```text
 NestEO/
 ├── grids/                  # UTM-aligned hierarchical grid Parquet files
-├── metadata_current/       # Precomputed proportions: landcover, climate, region
-├── datasets_EO/            # Clipped EO imagery tiles (Sentinel, MODIS, etc.)
-├── datasets_AUX/           # Auxiliary datasets (DEM, landcover, OSM)
-├── embeddings/             # Precomputed model embeddings (e.g., DINOv2, SigLIP)
+├── metadata_current/       # Precomputed proportions: landcover, planned (climate, region, biomes, ghsl)
+├── datasets_EO/            # Clipped EO imagery tiles (Newsat, Sentinels, planned(Landsat, HLS, MODIS, etc.))
+├── datasets_AUX/           # Auxiliary datasets planned(DEM, landcover, OSM)
+├── embeddings/             # Precomputed model embeddings planned (e.g., DINOv2, SigLIP, SAM, SAM2)
 ├── index_structure/        # tile-to-super-tile, Source-to-tile and tile-ID index maps
 └── versions/               # Information about snapshots for version control
 ```
 
 ## Dataset Structure
-- Each tile includes a unique `tile_id`, `super_id`, and spatial geometry.
+- Each tile includes a unique `tile_id`, and spatial geometry.
 - Grouped by zone directories: `grid_2400m/grid_37N_2400.parquet`
 
+## Code
+Github code provides the grid creation logic, ESA Worldcover proportion calculations, notebooks for processing sample datasets, and fetching/merging grids with datasets
+
 
 **How to Use**  
 
+* Install from Github and create your own Nested grid structure 
 * Load a grid from grids/ (e.g., grid_1200m.parquet).  
 * Join with metadata (e.g., metadata_lc.parquet) on tile_id.  
-* Apply spatial or semantic filtering (e.g., only urban, low-cloud).  
-* Select and load EO imagery and AUX sources from paired folders.  
-* Use embeddings (optional) for transfer learning or clustering.  
+* Apply spatial or semantic filtering (e.g., only urban, with specific dates).  
+* Select and load paired EO imagery and sources from folders.  
+
 
 **Current Status**  
 
-This is an initial prototype release. Some EO source folders are partially populated, and ongoing ingestion is underway. Metadata filtering and source-pairing are fully supported.
+This is a prototype release of the NestEO dataset framework, showcasing the core design principles, including hierarchical UTM-aligned grids, modular directory layout, structured GeoParquet-based metadata, and compatibility with scalable Earth Observation (EO) data ingestion. This release includes a limited set of EO source tiles and metadata layers meant to demonstrate framework usability, alignment strategies, and pipeline extensibility. Metadata-driven filtering, source-pairing, and tile-to-super-tile indexing are fully implemented.
 
 **Limitations**
-- Current version includes only structural grid and metadata, along with a few EO data sources
-- Further EO content layers (imagery, land cover, auxillary layers etc.) to be added in coming updates
+- This version provides a demonstration of the framework vision. Only few selected EO modalities (e.g., Sentinel-2, Sentinel-3, Satellogic, Wyvren) are currently included at sample scale.
+- Further EO content layers (imagery, land cover, auxillary layers etc.) to be added in later updates for NestEOv1.
+- Cross-modal pairings, auxiliary layers (e.g., DEM, OSM), and full-resolution coverage across grid levels are under active development.
+- Not all grid levels are currently populated with imagery; some grid layers are provided primarily to support alignment, pairing and demonstration purposes. 
+
+### Roadmap and Ongoing Work
+
+A comprehensive **v1 release** is under development. This upcoming version will include:
+
+- **12+ EO modalities** (optical, SAR, hyperspectral, atmospheric, thermal)  
+- **Over 250,000 geospatially distributed tiles** across multiple grid levels  
+- **Paired imagery samples** at selected locations, across grid levels, supporting multimodal learning  
+- **Expanded metadata layers** including ESA WorldCover, Copernicus DEM, Köppen-Geiger zones, and GHSL-derived population classes  
+- **Precomputed model embeddings** (e.g., DINOv2, SigLIP, SAM2) at tile-level granularity  
+- **Full compatibility** with cloud-based filtering, lazy loading, and Hugging Face Datasets  
+
+All v1 expansions will preserve the **NestEO prototype structure** and align with **FAIR dataset development practices**. The prototype release remains stable as a referential snapshot of the NestEO design framework, while v1 will extend data completeness, modeling readiness and potential foundation model development.
+
+
 
 **Contributing**