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+ # JAB: Java Academic Benchmark
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+ ## Overview
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+ The **Java Academic Benchmark (JAB)** is the first exam-based benchmark specifically designed to rigorously evaluate Large Language Models (LLMs) on Java Object-Oriented Programming (OOP) capabilities.
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+ JAB comprises 103 real Java exams administered between 2014 and 2024 at a top-tier academic institution, designed and curated by Professor Mirko Viroli, an experienced full professor and co-author of this project. This ensures that each task reflects pedagogically grounded and conceptually meaningful challenges.
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+ Unlike benchmarks that focus on isolated code snippets, JAB features full exam-style problems with expert-authored JUnit test suites, targeting class- and interface-level reasoning. Designed to assess human learners, these problems isolate common misconceptions and test deep understanding, offering granular insights into where and how models fall short.
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+ ## Dataset Structure
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+ Each exam in the JAB dataset is structured as follows:
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+ - **year**: Year of the exam session
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+ - **session**: Specific session identifier
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+ - **utility_classes**: Utility classes provided to students during the exam
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+ - **solution**: Gold solution created by Prof. Viroli (one of many possible solutions)
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+ - **test**: JUnit test cases that must be passed
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+ ## Benchmark Significance
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+ JAB offers several unique advantages for evaluating LLMs on Java programming tasks:
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+ 1. **Educational Validity**: Problems are designed by education experts to test conceptual understanding
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+ 2. **Comprehensive Assessment**: Tasks require full class implementations rather than just completing isolated functions
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+ 3. **Object-Oriented Focus**: Specifically targets OOP concepts including inheritance, polymorphism, encapsulation, and interfaces
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+ 4. **Longitudinal Coverage**: Spans a decade of real academic assessments (2014-2024)
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+ 5. **Test-Driven Evaluation**: Uses rigorous JUnit test suites for objective assessment
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+ ## License
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+ This dataset is licensed under the **Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)** license.
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+ You are free to:
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+ - **Share** — copy and redistribute the material in any medium or format
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+ Under the following terms:
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+ - **Attribution** — You must give appropriate credit (see below), provide a link to the license, and indicate if changes were made.
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+ - **NonCommercial** — You may not use the material for commercial purposes.
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+ - **NoDerivatives** — If you remix, transform, or build upon the material, you may not distribute the modified material.
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+ For details, see: [https://creativecommons.org/licenses/by-nc-nd/4.0/](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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+ Dataset Owner: Mirko Viroli
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+ License Notice: © Mirko Viroli — CC BY-NC-ND 4.0
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+ ## Citation
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+ If you use JAB in your research, please cite:
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+ ```
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+ <bib of our future paper>
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+ ```
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+ ## Contact
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+ For questions or further information about the JAB benchmark, please contact:
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+ - [Mirko Viroli](https://huggingface.co/mirkoviroli)
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+