Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 136 items • Updated
sample_count int64 | target_rows int64 | coverage dict | representation_completeness float64 | schema_version string |
|---|---|---|---|---|
96 | 100,000 | {
"sources": 8,
"domains": 9,
"problem_types": 34
} | 1 | 1.0 |
Unified Operations Research foundation dataset combining eight heterogeneous OR benchmarks into a single schema with multi-layer representations.
| Source | Hub Reference | OR Layer |
|---|---|---|
| FrontierCO | alirezaaminzadeh/frontierco-instance-features |
Combinatorial optimization + solver performance |
| Text2Opt-Bench | alirezaaminzadeh/opticoder-binding-cases |
NL → MILP binding |
| OptMATH | nvidia/OptiMATH-Train |
Math word problems |
| Learn2Zinc | alirezaaminzadeh/minizinc-debug-100k |
NL → MiniZinc |
| RetailOpt-190 | alirezaaminzadeh/retailopt-10k-verified |
Retail supply-chain MILP |
| OR-Space | Chenyu-Zhou/OR-Space |
Full-lifecycle OR workspaces |
| FJSSP Algorithm Selector | alirezaaminzadeh/fjssp-instance-features |
Scheduling + meta-solver |
| SVRPBench | MBZUAI/svrp-bench |
Stochastic vehicle routing |
| Field | Type | Description |
|---|---|---|
problem_id |
string | Unique identifier |
domain |
string | Scheduling, Routing, Assignment, ... |
problem_type |
string | e.g. fjssp, cvrp, lot_sizing |
natural_language_description |
string | Human-readable problem statement |
sets |
object | Index sets |
parameters |
object | Instance parameters |
variables |
object | Decision variables |
objective |
object | Objective function |
constraints |
array | Constraint list |
instance_data |
object | Source-specific payload |
solver |
string | Solver used |
solver_status |
string | optimal / feasible / time_limit |
optimal_objective |
float | Best objective value |
best_bound |
float | Dual bound |
solution |
object | Decision values |
runtime |
float | Solve time (seconds) |
difficulty |
string | easy / medium / hard / expert |
source_dataset |
string | Provenance label |
Each record includes aligned views:
natural_languagemathematical_formulationpyomo_codeminizinc_codeortools_codesolver_outputexplanationScheduling · Routing · Assignment · Packing · Facility Location · Inventory · Network Flow · Portfolio · Production · Energy
Full dataset built on Hugging Face Jobs:
hf jobs uv run -v ./src:/src scripts/run_build_job.py \
--flavor cpu-upgrade --timeout 12h --secrets HF_TOKEN=$HF_TOKEN --detach
@dataset{unifiedor_100k,
title={UnifiedOR-100K: A Unified Operations Research Foundation Dataset},
author={UnifiedOR Engineering},
year={2026},
publisher={Hugging Face},
howpublished={\\url{https://huggingface.co/datasets/alirezaaminzadeh/unifiedor-100k}}
}