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