Dataset · Hugging Face

AIOR-Research/OR-Clarify

Name: OR-Clarify
Creator: AIOR-Research
License: cc-by-nc-4.0
Keywords: task_categories:question-answering, task_categories:text-generation, language:en, license:cc-by-nc-4.0, size_categories:n<1K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2609.05258, arxiv:2405.17743, region:us

OR-Clarify 📄 Paper: Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization OR-Clarify is a benchmark for testing whether an agent asks the right questions before formulating an optimization model. Most optimization benchmarks give an agent a complete problem statement. OR-Clarify instead starts with an incomplete business brief. The agent must identify missing requirements that could change the optimization formulation, ask for the relevant… See the full description on the dataset page: https://huggingface.co/datasets/AIOR-Research/OR-Clarify.

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Author / organization	AIOR-Research
License (as declared)	cc-by-nc-4.0
Downloads	245 (as reported by Hugging Face)
Likes	0
Created	4 September 2026
Last updated at source	7 September 2026

operations-researchoptimizationclarificationllm-agentsinteractive-evaluationbenchmark

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