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Humanity's Last Code Exam evaluates problem solving and code generation using ICPC World Finals and IOI problems. The project describes 235 problems; this import selects its public ICPC dataset of 146 problems.
hlce
Full text: eligible public problems include text, images and discussion.
The Humanity's Last Code Exam project assembled a benchmark of ICPC World Finals and International Olympiad in Informatics problems to evaluate demanding algorithmic problem solving and code generation. Its GitHub repository, maintained by the Humanity-s-Last-Code-Exam organisation, was created in May 2025. The project drew on established programming competitions as a source of difficult tasks.
The project describes 235 problems drawn from ICPC World Finals and IOI competitions. This catalogue selects 146 public ICPC problem records, whose prompt fields include the title, statement, and platform. Evaluation is defined by the official repository scripts for the two competitions; generated responses and scoring outputs in the selected example data are not themselves independent correctness criteria.
Competitive-programming problem statements; the import accepts question_title, question_content, and platform.
For the 146 imported problems, the source ships an answer with every problem; this catalogue keeps it in restricted storage and never renders it. Definitive results come from the IOI and ICPC World Finals scripts in the official repository.
Requires problem solving and code generation on ICPC World Finals and IOI problems.
The imported ICPC subset does not cover the full benchmark or establish performance on the IOI portion. Competitive-programming tasks test algorithm design and implementation under contest conditions, with limited coverage of software maintenance or collaborative development. Because the problems originate in public competitions, exposure to statements or solutions during training is a possibility that requires separate investigation.
@misc{li2025humanityscodeexamadvanced,
title={Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?},
author={Xiangyang Li and Xiaopeng Li and Kuicai Dong and Quanhu Zhang and Rongju Ruan and Xinyi Dai and Xiaoshuang Liu and Shengchun Xu and Yasheng Wang and Ruiming Tang},
year={2025},
eprint={2506.12713},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2506.12713},
}1 thread and 0 posts on this page. Anyone may reply; no account is required.
Share a reproduction, report an evaluation issue, or suggest a correction to this benchmark overview.
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Whole public benchmark.
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7ff35699eb56a09ba17ea00ed3dbb6e520635832 · acquired 2026-09-09 · release aa405bca77f47ff35699eb56a09ba17ea00ed3dbb6e520635832 · acquired 2026-09-09 · release ce11e5bbbba77ff35699eb56a09ba17ea00ed3dbb6e520635832 · acquired 2026-09-09 · release 31d1c4183bd07ff35699eb56a09ba17ea00ed3dbb6e520635832 · acquired 2026-09-09 · release 20b0aecfd177Answer published by the source
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