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Dataset · Hugging Face

soren19/agent-coordination-shape-outcomes

Per-Task Agent Coordination Shape Outcomes What this dataset is When you orchestrate LLM agents, you choose a coordination shape before running anything: solve with a single agent, fan out and vote, decompose into parallel subtasks, chain a draft through critique, or run an orchestrator-workers topology. Which shape is best changes from task to task, but is it predictable per task? This dataset is the evidence to answer that. It runs all five shapes on 159 hard… See the full description on the dataset page: https://huggingface.co/datasets/soren19/agent-coordination-shape-outcomes.

Author / organizationsoren19
License (as declared)mit
Downloads127 (as reported by Hugging Face)
Likes0
Created29 June 2026
Last updated at source4 July 2026
llm-agentsmulti-agentagent-orchestrationcoordinationalgorithm-selectioncalibration
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