milp
Datasets
All datasets matching “milp”MILP-Evolve
Dataset for Towards Foundation Models for Mixed Integer Linear Programming
MILP-Evolve is a large-scale dataset of Mixed Integer Linear Programming (MILP) problem classes and instances. It is generated using an LLM-based evolutionary framework capable of producing a diverse set of MILP classes with unlimited instances. The dataset is designed to facilitate research in developing foundation models for MILP that generalize across problem classes. It supports multiple learning tasks… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/MILP-Evolve.contrarc-milp
ContrArc-MILP: Cyber-Physical System Architecture Selection as Binary Integer Programming
A dataset of 2,000 binary integer linear programming (BILP) instances derived from cyber-physical system architecture selection problems using ContrArc (Xiao et al., DATE 2024). Each instance includes the LP formulation, the optimal solution, and the optimal objective value. The dataset features two application domains and controlled distribution shifts (scale, structural, cross-domain) for… See the full description on the dataset page: https://huggingface.co/datasets/yfxiao/contrarc-milp.milp-instances-parquet
MILP instances (Parquet)
Competition-style instances packed as Zstd-compressed Parquet shards for partial downloads.
Schema
Column
Type
Description
instance_id
string
Stem name (e.g. load_balancing_0)
task
string
item_placement, load_balancing, or anonymous
split
string
train or valid
json_text
string
Raw contents of the sidecar .json
mps_gz
binary
Bytes of the .mps.gz file
Tasks are independent (separate folders / configs). Shards are named… See the full description on the dataset page: https://huggingface.co/datasets/foundation-models/milp-instances-parquet.MILPU01L2O-MILPThis is the dataset including IP, IS, WA, CA and SC.
milp_capability_3.2