Update README.md

README.md

@@ -1,3 +1,34 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+- table-question-answering
+language:
+- en
+tags:
+- agent
+- code
+size_categories:
+- 1K<n<10K
+---
+
+Dataset Overview
+This is a high-fidelity synthetic dataset designed for training AI models in Human-Robot Interaction (HRI) and Privacy-Preserving Home Monitoring. Unlike standard vision datasets, this file provides 4D Point Clouds (Spatial + Velocity) specifically tuned for 24GHz mmWave Radar sensors.
+The dataset features complex "Long-Tail" scenarios, such as children running in low-light environments, specifically modeled to include real-world physical noise and sensor artifacts.
+🛠 Technical Specifications
+Sensor Simulation: 24GHz FMCW mmWave Radar
+Format: JSONL (JSON Lines)
+Environment: Low-light/Night-time Living Room
+Subjects: 2 Humanoids (including Child_5yo_Running class)
+Engine: Anode_Noise_v1 (Synthetic Physics Engine)
+🧬 Data Features
+Each data point is enriched with high-dimensional physics metadata that standard datasets lack:
+Kinematic Vectors: Cartesian coordinates (x, y, z) + Velocity Vectors (vx, vy, vz).
+Surface Physics: Includes surface_normal and stress_strain_tensor for advanced collision modeling.
+Semantic Intelligence: Frame-by-frame labels for pose (e.g., short_stride_sprint), intent_prediction (e.g., crossing_room), and intent_confidence.
+Safety Metrics: Real-time threat_vector and closing_speed_mps calculations for autonomous braking/slowing systems.
+Ethical Priority Tags: Integrated ethical_priority labels (e.g., "monitor + slow_if_close") for training Responsible AI.
+
+ Licensing
+This is a Commercial-Tier Dataset. For full access to the 1M+ frame sequence or the underlying Anode Physics Engine, please contact:
+vesperbyarservice@gmail.com