Datasets › Distributional MIPLIB

Distributional MIPLIB

Introduced by Weimin Huang et al. in Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods11 Jun 2024 archive 2025-07-28

Distributional MIPLIB is a dataset of Mixed Integer Linear Programming (MILP) instances designed to advance research on learning to optimize \url{https://www.arxiv.org/abs/2406.06954}. It is a curated dataset of MILP distributions from 13 domains, classified into different hardness levels. The links for downloading the distributions are provided in the webpage of each domain.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Combinatorial Optimization

License archive 2025-07-28

Instances data in different domains is licensed under different licenses, as we curated the data from different sources. Details about the license of each domain are also discussed in the description of each domain.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

Distributional MIPLIB

1 variant name, as the archive lists them.

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