---
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