Datasets:

kostis-init
/

CP-Bench

license: apache-2.0
task_categories:
  - text-generation
tags:
  - code
size_categories:
  - n<1K
language:
  - en
configs:
  - config_name: default
    data_files:
      - split: original
        path: dataset.jsonl
      - split: verified
        path: dataset_verified.jsonl

CP-Bench: A dataset for evaluating LLM-driven constraint modelling

This dataset is designed to facilitate the evaluation of LLM-based methods for translating natural language problem descriptions into accurate constraint specifications. It contains diverse combinatorial problems, and is sourced from various well-established sources from the Constraint Programming community.

Dataset Versions

You will notice that the dataset contains various splits (which are not exactly splits, but rather different versions of the dataset):

original: The original dataset, which contains all problems initially designed, including those with known issues. More details about the issues can be found in the changelog.
verified: A stripped-down version of the original dataset that has been verified to contain complete problem specifications with matching ground-truth models. This version is recommended for use in evaluations.

📊 Leaderboard

You can easily submit your results and view the global leaderboard here:
👉 CP-Bench Leaderboard

Dataset Breakdown

The dataset contains problems from the following sources:

aplai_course: Problems from the APLAI course of KU Leuven, 2023-2024. As modelled here.
cpmpy_examples: Problems from the CPMpy repository
- All included, except for the ones that require enumeration of all solutions (e.g. solveAll).
csplib
- For now, only the ones modelled in the CPMpy repository are included, and the ones modelled by Hakan Kjellerstrand.
hakan_examples: Models created by Hakan Kjellerstrand
- In progress with alphabetical order, excluding the following:
  - Those already modelled from other sources (e.g. aplai_course, cpmpy_examples, csplib)
  - Those that contain solveAll (counting solutions).
  - Global constraints tests, e.g. http://www.hakank.org/cpmpy/atmost_test.py

Diversity

We attempted to include unique problems from different sources, in order to provide a diverse set of problems. However, as this was a manual process, there might be duplicates or similar problems. If you notice any issues, please let us know.

Citation

If you found our work useful, please consider citing it:

@misc{michailidis2025cpbench,
  title={CP-Bench: Evaluating Large Language Models for Constraint Modelling}, 
  author={Kostis Michailidis and Dimos Tsouros and Tias Guns},
  year={2025},
  eprint={2506.06052},
  archivePrefix={arXiv},
  primaryClass={cs.AI},
  url={https://arxiv.org/abs/2506.06052}, 
}