---
task_categories:
- graph-ml
license: mit
tags:
- multi-agent-systems
- benchmark
- llms
dataset_info:
  features:
  - name: 'Unnamed: 0'
    dtype: int64
  - name: graph_generator
    dtype: string
  - name: num_nodes
    dtype: int64
  - name: index
    dtype: int64
  - name: graph
    dtype: string
  splits:
  - name: train
    num_bytes: 517975
    num_examples: 117
  download_size: 127270
  dataset_size: 517975
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# AgentsNet

This repository contains the graph instances used in the [AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs](https://huggingface.co/papers/2507.08616) paper.

AgentsNet is a new benchmark for multi-agent reasoning, designed to measure the ability of multi-agent systems to collaboratively form strategies for problem-solving, self-organization, and effective communication given a network topology. It draws inspiration from classical problems in distributed systems and graph theory.

*   **Paper**: [AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs](https://huggingface.co/papers/2507.08616)
*   **Project Page**: [https://agentsnet.graphben.ch](https://agentsnet.graphben.ch)
*   **GitHub Repository**: [https://github.com/ashleve/lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template)

## Dataset

The dataset consists of synthetic graphs generated using various random graph models. It serves as the input for all experiments in the benchmark.

## Citation

If you use this dataset, please cite the associated paper:

```bibtex
@misc{grötschla2025agentsnetcoordinationcollaborativereasoning,
      title={AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs}, 
      author={Florian Grötschla and Luis Müller and Jan Tönshoff and Mikhail Galkin and Bryan Perozzi},
      year={2025},
      eprint={2507.08616},
      archivePrefix={arXiv},
      primaryClass={cs.MA},
      url={https://arxiv.org/abs/2507.08616}, 
}
```