| --- |
| language: en |
| license: mit |
| tags: [humanoid, skill-learning, capability-evolution, decentralized-ai] |
| --- |
| |
| # Humanoid Autonomous Skill Evolution Dataset |
|
|
| This dataset models how humanoid agents |
| acquire, refine, and expand operational skills |
| within a decentralized cognitive ecosystem. |
|
|
| It captures multi-stage skill development, |
| performance benchmarking, and capability upgrades. |
|
|
| ## Purpose |
|
|
| To train adaptive models that enable |
| continuous capability growth in humanoid agents. |
|
|
| ## Data Fields |
|
|
| - agent_id |
| - initial_skill_profile |
| - new_task_domain |
| - learning_phase |
| - training_interaction_log |
| - performance_before |
| - performance_after |
| - capability_upgrade_flag |
|
|
| ## Learning Stages |
|
|
| - Exploration |
| - Structured Learning |
| - Optimization |
| - Deployment |
|
|
| ## Use Cases |
|
|
| - Skill expansion engines |
| - Autonomous learning frameworks |
| - Capability benchmarking systems |
|
|
| ## Part of |
|
|
| Humanoid Network (HAN) |
|
|
| ## License |
|
|
| MIT |
|
|
