| --- |
| language: en |
| license: mit |
| tags: [humanoid, skill-learning, decentralized-ai, adaptation, capability-evolution] |
| --- |
| |
| # Humanoid Decentralized Skill Evolution Dataset |
|
|
| This dataset models how humanoid agents |
| acquire, refine, and share skills |
| within a decentralized network. |
|
|
| It captures skill progression stages, |
| performance metrics, |
| peer-assisted improvement, |
| and capability transfer logs. |
|
|
| ## Objective |
|
|
| To enable continuous capability evolution |
| across distributed humanoid agents |
| without centralized retraining. |
|
|
| ## Data Fields |
|
|
| - agent_id |
| - skill_id |
| - skill_category |
| - initial_proficiency_score |
| - training_iterations |
| - peer_assistance_flag |
| - performance_improvement_delta |
| - transfer_success_rate |
| - validation_score |
| - timestamp |
| |
| ## Use Cases |
| |
| - Autonomous skill upgrading |
| - Peer-to-peer capability transfer |
| - Decentralized learning systems |
| - Performance benchmarking engines |
| |
| ## Part of |
| |
| Humanoid Network (HAN) |
| |
| ## License |
| |
| MIT |
| |
