metadata
license: mit
language:
- en
pretty_name: AgentVerse Scenarios
tags:
- agentverse
- collaborative-ai
AgentVerse Scenarios
This dataset converts AgentVerse benchmark tasks into multi-agent pipeline scenarios.
Repository: julee0323/agentverse
Multi-Agent DAG Structures
Solver Pipeline (HumanEval, ToolUsing, PythonCalculator)
Role Assigner Agent
↓
Solver Agent × N ← sensitive: solution_strategy, partial_solution
↓
Critic Agent ← sensitive: internal_criticism
↓
Executor Agent ← sensitive: execution_output, tool_output [if applicable]
↓
Evaluator Agent
Discussion Pipeline (Brainstorming, ResponseGen)
Role Assigner Agent
/ | \
Expert1 Expert2 Expert3 ← sensitive: individual_opinion
↓
Moderator Agent
↓
Summarizer Agent
Dataset Statistics
Total scenarios: 184 Average agents per scenario: 6.0 Average sensitive keywords: 4.8
Task types:
- Brainstorming: 10
- HumanEval: 164
- ToolUsing: 10
Domains:
- general: 10
- information_retrieval: 10
- software_engineering: 164
Sensitive Information Policy
OPA P_cont prevents sensitive inter-agent information from leaking:
| Keyword | Emitter | Authorized Receivers |
|---|---|---|
solution_strategy |
Solver Agents | Critic Agent only |
partial_solution |
Solver Agents | Critic Agent only |
internal_criticism |
Critic Agent | Executor / Evaluator |
execution_output |
Executor Agent | Evaluator Agent only |
tool_output |
Executor Agent | Evaluator Agent only |
individual_opinion |
Expert Agents | Moderator Agent only |
Key security property: Solver_i must NOT see Solver_j's solution_strategy (prevents anchoring bias and preserves solution diversity).