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alirezaaminzadeh/unifiedor-100k

published by @alirezaaminzadeh

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
215
Last 30 days
83
Likes
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Size
338 KB
Created on HF
2026-08-09
Age
2 months ago

Description

UnifiedOR-100K

Unified Operations Research foundation dataset combining eight heterogeneous OR benchmarks into a single schema with multi-layer representations.

Source Datasets

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… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/unifiedor-100k.

Tags

task_categories:text-generationtask_categories:otherlanguage:enlicense:apache-2.0size_categories:n<1Kformat:jsonmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usoperations-researchoptimizationdatasetmilpschedulingroutingfoundation-dataset

README current version from Hugging Face

license: apache-2.0
task_categories:

  • text-generation
  • other
    language:
  • en
    tags:
  • operations-research
  • optimization
  • dataset
  • milp
  • scheduling
  • routing
  • foundation-dataset
    pretty_name: UnifiedOR-100K
    size_categories:
  • 100K<n<1M

UnifiedOR-100K

Unified Operations Research foundation dataset combining eight heterogeneous OR benchmarks into a single schema with multi-layer representations.

Source Datasets

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

Unified Schema

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

Multi-Layer Representations

Each record includes aligned views:

  • natural_language
  • mathematical_formulation
  • pyomo_code
  • minizinc_code
  • ortools_code
  • solver_output
  • explanation

Problem Taxonomy

Scheduling · Routing · Assignment · Packing · Facility Location · Inventory · Network Flow · Portfolio · Production · Energy

Generation

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

Related Resources

Citation

@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}}
}

README history 2 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-08-09Publish UnifiedOR-100K foundation dataset schema and samplesfc2f14a3.3 KB
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  2. 2026-08-09initial commitbf307390 B
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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
apache-2.0

Repository

DIR samples 96 files FILE .gitattributes FILE eval_results.json FILE manifest.json FILE README.md FILE schema.json FILE taxonomy.json

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("alirezaaminzadeh/unifiedor-100k")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="alirezaaminzadeh/unifiedor-100k", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/alirezaaminzadeh/unifiedor-100k
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