achiepatricia/han-autonomous-network-self-healing-dataset-v1
Humanoid Autonomous Network Self-Healing Dataset This dataset models failure detection and recovery mechanisms inside a decentralized humanoid cognitive mesh. It captures anomaly signals, fault propagation, recovery strategies, and post-recovery performance metrics. Objective To train autonomous recovery systems that stabilize the Humanoid Network without centralized intervention. Failure Types Node crash Memory desynchronization Task deadlock… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-network-self-healing-dataset-v1.
Humanoid Autonomous Network Self-Healing Dataset
This dataset models failure detection and recovery mechanisms inside a decentralized humanoid cognitive mesh.
It captures anomaly signals, fault propagation, recovery strategies, and post-recovery performance metrics.
Objective
To train autonomous recovery systems that stabilize the Humanoid Network without centralized intervention.
Failure Types
- Node crash
- Memory desynchronization
- Task deadlock
- Consensus timeout
- Network partition
Data Fields
- failureeventid
- failure_type
- affected_nodes
- anomalysignalvector
- recoverystrategyapplied
- recoverytimems
- postrecoverystability_score
Use Cases
- Self-healing protocol layers
- Autonomous resilience engines
- Fault recovery modeling systems
Part of
Humanoid Network (HAN)
License
MIT
