Update README.md

README.md

@@ -92,8 +92,8 @@ ionicsphere_export_v7.0_*.zip/
 ├── terminal_log.txt       # CLI interaction history
 └── config.json           # System configuration
 ```
-### Usage
-The Ionic Ocean Synthetic Dataset (hosted on Hugging Face by WebXOS) is a specialized dataset designed to bridge the gap between complex atmospheric physics and efficient machine learning models.
+### GENERATION
+The Ionic Ocean Synthetic Dataset is a specialized dataset designed to bridge the gap between complex atmospheric physics and efficient machine learning models.
 
 -Dataset Overview & Purpose
 The primary goal of this dataset is to provide high-fidelity training data for neural networks to predict ionospheric conditions—specifically electron density and signal interference—without requiring the extreme computational power of traditional physics engines.
@@ -112,7 +112,7 @@ The primary goal of this dataset is to provide high-fidelity training data for n
     Format: Distributed as a tabular dataset (often in .csv or .parquet formats) to be compatible with common machine learning frameworks like PyTorch or TensorFlow.
 
 -Connection to the App
-The Ionicsphere 3D application acts as a visualizer for this dataset. Users can see the synthetic data points rendered as a 3D "ocean" surrounding the globe, allowing researchers to visually inspect the data for anomalies or patterns before using it to train neural networks.
+The Ionicsphere 3D application acts as a generator for this dataset. Users can see the synthetic data points rendered as a three js 3D "ocean" surrounding the globe, allowing researchers to visually inspect the data for anomalies or patterns before using it to train neural networks.
 
 ### Usage Instructions