| --- |
| license: mit |
| pretty_name: InteractBench |
| language: |
| - en |
| tags: |
| - code |
| - benchmark |
| - competitive-programming |
| - interactive |
| - llm-evaluation |
| --- |
| # InteractBench Dataset |
|
|
| Dataset artifacts for **InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information** (ICML 2026). |
|
|
| [Project page](https://www.interactbench.com) | [Paper (OpenReview)](https://openreview.net/forum?id=Y4T4w0Tj0l) | [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} |
| } |
| ``` |
|
|
