---
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