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  # CP-Bench: A dataset for evaluating LLM-driven constraint modelling
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- * For evaluating: you can use any modelling language you want, as long as the generated final solution is in the required structure.
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- * Feel free to contact us if you find any errors in models/solutions/descriptions, thank you!
 
 
 
 
 
 
 
 
 
 
 
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  # Dataset Breakdown
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  The dataset contains problems from the following sources:
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- - `aplai_course`: Problems from the APLAI course of KU Leuven, 2023-2024. As modelled here: https://github.com/kostis-init/LLM-CP-Modeling/tree/main/data/APLAI_course
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- - All 18 problems are added.
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- - `cpmpy_examples`: Problems from the cpmpy examples folder, https://github.com/CPMpy/cpmpy/tree/master/examples
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  - All included, except for the ones that require enumeration of all solutions (e.g. `solveAll`).
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- - `csplib`: Problems from the csplib, https://www.csplib.org/Problems/
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- - For now, only the ones modelled in the cpmpy repository are included (https://github.com/CPMpy/cpmpy/tree/master/examples/csplib), and the ones modelled by Hakan Kjellerstrand (http://www.hakank.org/cpmpy/).
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- - `hakan_examples`: Models created by Hakan Kjellerstrand, http://www.hakank.org/cpmpy/
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- - In progress with alphabetical order. Currently, includes all problems until `TODO`, excluding the following:
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- - Those already modelled in other folders (e.g. aplai_course, cpmpy_examples, csplib)
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  - Those that contain `solveAll` (counting solutions).
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  - Global constraints tests, e.g. http://www.hakank.org/cpmpy/atmost_test.py
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  # CP-Bench: A dataset for evaluating LLM-driven constraint modelling
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+ [![Hugging Face Space](https://img.shields.io/badge/Leaderboard-HF%20Space-blue?logo=huggingface)](https://huggingface.co/spaces/kostis-init/CP-Bench-Leaderboard)
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+ This dataset is designed to faciliate 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.
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+ Feel free to contact us if you find any errors in models/solutions/descriptions, thank you!
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+
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+ ---
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+ ## 📊 Leaderboard
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+ You can submit your results or view others' performance here:
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+ 👉 **[CP-Bench Leaderboard on Hugging Face](https://huggingface.co/spaces/kostis-init/CP-Bench-Leaderboard)**
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+
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+ ---
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  # Dataset Breakdown
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  The dataset contains problems from the following sources:
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+ - `aplai_course`: Problems from the APLAI course of KU Leuven, 2023-2024. As modelled [here](https://github.com/kostis-init/LLM-CP-Modeling/tree/main/data/APLAI_course).
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+ - `cpmpy_examples`: Problems from the [CPMpy repository](https://github.com/CPMpy/cpmpy/tree/master/examples)
 
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  - All included, except for the ones that require enumeration of all solutions (e.g. `solveAll`).
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+ - [`csplib`](https://www.csplib.org/Problems/)
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+ - For now, only the ones modelled in the [CPMpy repository] (https://github.com/CPMpy/cpmpy/tree/master/examples/csplib) are included, and the ones modelled by [Hakan Kjellerstrand](http://www.hakank.org/cpmpy/).
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+ - `hakan_examples`: Models created by [Hakan Kjellerstrand](http://www.hakank.org/cpmpy/)
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+ - In progress with alphabetical order. Currently, includes all problems until `crypta.py`, excluding the following:
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+ - Those already modelled from other sources (e.g. aplai_course, cpmpy_examples, csplib)
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  - Those that contain `solveAll` (counting solutions).
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  - Global constraints tests, e.g. http://www.hakank.org/cpmpy/atmost_test.py
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