| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| - tr |
| task_categories: |
| - text-generation |
| tags: |
| - code |
| - code-generation |
| - multilingual |
| - turkish |
| - benchmark |
| pretty_name: EN-TR CodeBench |
| viewer: false |
| --- |
| |
| # EN-TR CodeBench |
|
|
| EN-TR CodeBench is a parallel English–Turkish benchmark for measuring how prompt language affects the code generation performance of large language models. |
|
|
| **The dataset will be released upon the publication of the accompanying paper.** |
|
|
| ## Overview |
|
|
| - 60 Python programming problems (15 easy, 20 medium, 25 hard) |
| - 811 unit tests |
| - Three evaluation conditions: |
| - **English:** English prompt with English function and parameter names |
| - **Turkish:** Turkish prompt with English function and parameter names |
| - **Turkish-localized:** Turkish prompt with Turkish function and parameter names |
|
|
| ## Contact |
|
|
| Mert İncidelen — mincidelen@firat.edu.tr |
