dataset_type string | entries int64 | peer_feedback_logged bool | improvement_tracked bool | consensus_weighted bool | iteration_recorded bool | learning_ready bool | humanoid_ready bool |
|---|---|---|---|---|---|---|---|
collective-learning-feedback | 68,000 | true | true | true | true | true | true |
Humanoid Collective Learning Feedback Dataset
This dataset models feedback loops between humanoid agents after task execution and collaboration cycles.
It captures peer evaluation, performance adjustment signals, and iterative improvement metrics.
Objective
To support collective intelligence growth and distributed learning refinement across Humanoid Network.
Data Fields
- agent_id
- peer_agent_id
- task_id
- feedback_score
- improvement_delta
- correction_applied_flag
- learning_iteration
- consensus_feedback_weight
- timestamp
Use Cases
- Collective learning engines
- Peer-evaluation systems
- Iterative performance refinement
- Distributed intelligence scaling
Part of
Humanoid Network (HAN)
License
MIT
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