arXiv · 2501.09653
The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
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.
Explore related subjects
Keep this discovery
Jonathan Katzy, Razvan Mihai Popescu, Arie van Deursen, Maliheh Izadi. 2025-01-16. The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models. https://doi.org/10.1109/forge66646.2025.00025
Cite the original work for its findings. Save a collection to share your selection of sources.