Datasets:
| 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} | |
| } | |
| ``` | |