MAEnvs4VRP/maenvs4vrp

Main code on Github: https://github.com/MAEnvs4VRP/maenvs4vrp

MAEnvs4VRP Datasets

The MAEnvs4VRP Datasets repository provides benchmark and synthetic datasets for the vehicle routing problems (VRPs) supported by the MAEnvs4VRP framework.

The repository is intended to serve as a centralized collection of routing instances for training, validating, and benchmarking reinforcement learning algorithms and other optimization methods on classical and advanced Vehicle Routing Problems.

The datasets are fully compatible with the MAEnvs4VRP library and can be used to reproduce experiments, evaluate new learning algorithms, and compare optimization approaches across multiple VRP variants.

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Supported Vehicle Routing Problems

The repository contains datasets for several routing problems implemented in MAEnvs4VRP, including:

Problem	Description
CVRP	Capacitated Vehicle Routing Problem
CVRPSTW	Capacitated Vehicle Routing Problem with Time Windows
CVRPTW	Capacitated Vehicle Routing Problem with Soft Time Windows
PDPTW	Pickup and Delivery Problem with Time Windows
SDVRPTW	Split Delivery Vehicle Routing Problem with Time Windows
TOP	Team Orienteering Problem
TOPTW	Team Orienteering Problem with Time Windows

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Using the Datasets

The datasets provided in this repository are designed to be used with the MAEnvs4VRP framework.

Benchmark instances are automatically downloaded from the Hugging Face Hub when required by the corresponding environment. After the initial download, the datasets are cached locally and reused in future executions.

Each environment in MAEnvs4VRP provides the appropriate instance generator for loading and sampling benchmark instances. Refer to the documentation of the corresponding environment for usage examples and configuration options.

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Relationship with MAEnvs4VRP

This repository complements the MAEnvs4VRP library by providing the datasets used by its environments.

The library implements simulation environments for multiple Vehicle Routing Problems, while this repository stores the corresponding benchmark and synthetic routing instances.

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Limitations

Users should be aware that:

• different routing problems contain different data schemas;
• not every environment currently includes the same number of benchmark instances;
• additional datasets may be incorporated in future releases;
• synthetic datasets are generated according to the assumptions of their corresponding environment.

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Citation

If you use these datasets in your research, please cite the MAEnvs4VRP paper.

@article{maenvs4vrp,
  title={MAEnvs4VRP: Multi-Agent Environments for Vehicle Routing Problems},
  author={}
  year={2026},
  journal={INFORMS Journal on Computing},
}

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License

This dataset is distributed under the MIT License unless otherwise specified for individual benchmark collections.

Users should also acknowledge the original authors of benchmark datasets whenever applicable.

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Acknowledgements

This repository is part of the MAEnvs4VRP project, which provides a unified framework for developing and evaluating reinforcement learning algorithms for Vehicle Routing Problems.