Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments
Fynn Petersen-Frey | Marcus Soll | Louis Kobras | Melf Johannsen | Peter Kling | Chris Biemann
Proceedings of the Thirteenth Language Resources and Evaluation Conference
We present a dataset containing source code solutions to algorithmic programming exercises solved by hundreds of Bachelor-level students at the University of Hamburg. These solutions were collected during the winter semesters 2019/2020, 2020/2021 and 2021/2022. The dataset contains a set of solutions to a total of 21 tasks written in Java as well as Python and a total of over 1500 individual solutions. All solutions were submitted through Moodle and the Coderunner plugin and passed a number of test cases (including randomized tests), such that they can be considered as working correctly. All students whose solutions are included in the dataset gave their consent into publishing their solutions. The solutions are pseudonymized with a random solution ID. Included in this paper is a short analysis of the dataset containing statistical data and highlighting a few anomalies (e.g. the number of solutions per task decreases for the last few tasks due to grading rules). We plan to extend the dataset with tasks and solutions from upcoming courses.
More Like This: Semantic Retrieval with Linguistic Information
Steffen Remus | Gregor Wiedemann | Saba Anwar | Fynn Petersen-Frey | Seid Muhie Yimam | Chris Biemann
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)
- Chris Biemann 2
- Marcus Soll 1
- Louis Kobras 1
- Melf Johannsen 1
- Peter Kling 1
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