README.md

---
license: mit
pretty_name: BEST
task_categories:
- text-generation
language:
- en
tags:
- code
- benchmark
- llm
- efficiency
- time-efficiency
- space-efficiency
---

# BEST Dataset

This repository hosts the benchmark data for BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code.

## Files

- `data.csv`: C++ benchmark metadata.
- `data_py.csv`: Python benchmark metadata.
- `test_cases/*.tar.zst`: sharded test cases.
- `checksums.sha256`: SHA-256 checksums for all files in this repository.

## Layout

Place the files under the BEST repository's `data/` directory:

```text
data/data.csv
data/data_py.csv
data/test_cases/<problem_id>/<case_id>.in
data/test_cases/<problem_id>/<case_id>.out
```

The test case archives preserve `test_cases/<problem_id>/...` paths. Extract them under `data/` to restore the expected layout.

## Citation

If you find BEST useful for your work, please cite:

```bibtex
@inproceedings{shen2026best,
  title = {BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code},
  author = {Shen, Aocheng and Zhang, Boyu and Li, Jiaze and Ma, Ruixuan and Zhang, Qiankun and Wang, Jing and Yuan, Bin and Liu, Shenghao and Deng, Xianjun},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
  year = {2026}
}
```