Datasets:

kmsgk
/

InteractBench

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 | Paper (OpenReview) | Code

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:

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

@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}
}