Datasets:
| language: | |
| - en | |
| license: mit | |
| pretty_name: InteractBench | |
| tags: | |
| - code | |
| - benchmark | |
| - competitive-programming | |
| - interactive | |
| - llm-evaluation | |
| task_categories: | |
| - text-generation | |
| # InteractBench Dataset | |
| Dataset artifacts for **InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information** (ICML 2026). | |
| [Project page](https://www.interactbench.com) | [Paper (arXiv)](https://arxiv.org/abs/2608.29632) | [Code](https://github.com/kmsgk0/InteractBench) | |
| InteractBench is a benchmark of 322 interactive competitive-programming problems curated from Codeforces, AtCoder, IOI, and ICPC. Each problem ships with an executable local interactor, so evaluation runs fully offline without external judge submission. | |
| Files: | |
| - `problems.jsonl`: 298 standard interactive problems. | |
| - `ioi.jsonl`: 24 IOI-style problems. | |
| - `test_cases/*.tar.zst`: materialized problem test cases split into shards. | |
| - `checksums.sha256`: SHA-256 checksums for released files. | |
| Use: | |
| ```bash | |
| sha256sum -c checksums.sha256 | |
| mkdir -p data/problems | |
| for f in test_cases/*.tar.zst; do | |
| tar --use-compress-program=unzstd -xf "$f" -C data/problems | |
| done | |
| python scripts/import_from_jsonl.py --type standard --input problems.jsonl --output-dir data/problems | |
| python scripts/import_from_jsonl.py --type ioi --input ioi.jsonl --output-dir data/problems | |
| ``` | |
| License: MIT. | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{li2026interactbench, | |
| title = {InteractBench: Benchmarking {LLM}s on Competitive Programming under Unrevealed Information}, | |
| author = {Jiaze Li and Aocheng Shen and Bing Liu and Boyu Zhang and Xiaoxuan Fan and Qiankun Zhang and Xianjun Deng}, | |
| booktitle = {Forty-third International Conference on Machine Learning}, | |
| year = {2026}, | |
| url = {https://openreview.net/forum?id=Y4T4w0Tj0l} | |
| } | |
| ``` |