English

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models

Computation and Language 2025-12-30 v2 Artificial Intelligence

Abstract

The recent rise in the popularity of large language models has spurred the development of extensive code datasets needed to train them. This has left limited code available for collection and use in the downstream investigation of specific behaviors, or evaluation of large language models without suffering from data contamination. To address this problem, we release The Heap, a large multilingual dataset covering 57 programming languages that has been deduplicated with respect to other open datasets of code, enabling researchers to conduct fair evaluations of large language models without significant data cleaning overhead.

Keywords

Cite

@article{arxiv.2501.09653,
  title  = {The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models},
  author = {Jonathan Katzy and Razvan Mihai Popescu and Arie van Deursen and Maliheh Izadi},
  journal= {arXiv preprint arXiv:2501.09653},
  year   = {2025}
}

Comments

Camera-ready. Accepted to FORGE 2025 Dataset Track

R2 v1 2026-06-28T21:08:30.589Z