Update README.md

README.md

@@ -13,4 +13,71 @@ tags:
 - obstacle-avoidance
 - synthetic
 - robotics
----
+---
+
+<div style="
+    background: #00FF00;
+    border-left: 4px solid #00FF00;
+    padding: 1.5rem;
+    margin: 2rem 0;
+    font-family: 'Fira Code', 'Courier New', monospace;
+    color: #00FF00;
+    border-radius: 0 8px 8px 0;
+">
+    <pre style="
+        font-size: 8px;
+        line-height: 1.2;
+        margin: 0;
+        overflow-x: auto;
+        color: #00FF00;
+    ">
+ _    _    __  _  _  ____  ____  ____  _  _  ____  ____  ____ 
+( \/\/ )  /__\( \/ )( ___)(  _ \( ___)( \( )(  _ \( ___)(  _ \
+ )    (  /(__)\\  /  )__)  ) _ < )__)  )  (  )(_) ))__)  )   /
+(__/\__)(__)(__)\/  (____)(____/(____)(_)\_)(____/(____)(_)\_)
+
+</div>
+  
+# OVERVIEW
+
+Generated synthetic dataset for drone autonomy ML training, including telemetry signals 
+(acceleration, gyro, altitude, velocity, battery, GPS), SLAM (obstacle detection/mapping), 
+and avoidance maneuvers in simulated 3D environments with configurable parameters (complexity, 
+noise, frequency, dynamic obstacles).
+
+# DETAILS
+
+Structure & Content: Tiny tabular/text dataset (219 Bytes downloaded, ~4 KB in Parquet format) with 1 row and 8 columns:
+
+complexity: int64 (value: 7)
+
+noise: float64 (value: 2.5)
+
+frequency: float64 (value: 1.8)
+
+sample_rate: int64 (value: 100)
+
+center_region_training: bool (value: true)
+
+dynamic_obstacles: bool (value: true)
+
+avoidance_training: bool (value: true)
+
+dataset_id: string (value: "wave_bender_training_params")
+
+# USAGE
+
+Load via Python libraries (e.g., from datasets import load_dataset; ds = load_dataset("webxos/wavebender_dataset") 
+or pandas/parquet readers). Download the training app "WAVEBENDER" by webXOS in the /generator/ folder for configuring/training 
+WaveBender— for a simulation involving waves, noise, frequency modulation, and obstacle avoidance (e.g., in physics, 
+audio, or AI pathfinding).
+
+# DEVELOPER
+
+webXOS
+
+webxos.netlify.app
+
+huggingface.co/webxos
+
+2026