metadata
language:
- en
license: apache-2.0
size_categories:
- 1K<n<10K
task_categories:
- text-generation
pretty_name: MEnvBench
tags:
- code
- software-engineering
- benchmark
- environment-construction
- multi-language
MEnvBench: Multi-Language Environment Construction Benchmark
📋 Dataset Description
MEnvBench is a comprehensive benchmark for evaluating multi-language environment building and test execution capabilities, comprising 1,000 task instances (10 languages × 20 repositories × 5 instances) selected from 200 high-quality open-source repositories.
Key Features
- 🌐 Multi-Language Coverage: 10 programming languages (Python, Java, TypeScript, JavaScript, Rust, Go, C++, Ruby, PHP, C)
- 🎯 High Quality: Multi-stage filtering pipeline from 8,000 candidate repositories (>1,000 stars, >200 forks/issues/PRs)
- 📊 Diverse Domains: Strategic sampling across AI, System, Web, and other software ecosystems
- 🏗️ Difficulty Levels: Five project scale bands from <10MB to >500MB
- ✅ Verified Quality: Closed issues with test patches and LLM-based quality assessment
Dataset Statistics
| Metric | Value |
|---|---|
| Total Instances | 1,000 |
| Languages | 10 |
| Repositories | 200 |
| Instge | 100 (20 repos × 5 instances) |
📊 Dataset Structure
Each instance in MEnvBench contains the following fields:
| Field | Type | Description |
|---|---|---|
| repo | str |
The full GitHub repository name (e.g., "home-assistant/core"). |
| pull_number | int |
The pull request number associated with the fix (e.g., 807). |
| instance_id | str |
A unique identifier for the task instance (e.g., "home-assistant__core-807"). |
| issue_numbers | list |
A list of linked issue numbers (e.g., [103876]). |
| base_commit | str |
The commit SHA of the repository prior to the fix. |
| version | str |
The version of the dataset (e.g., "0.10"). |
| patch | str |
The ground-truth patch (git diff) that resolves the issue. |
| test_patch | str |
The test patch (git diff) containing new tests to reproduce the issue. |
| problem_statement | str |
The natural language description of the issue. |
| hints_text | str |
Hints extracted from the issue dussion to aid resolution. |
| all_hints_text | str |
Comprehensive context including all comments and code review details. |
| commit_urls | list |
A list of URLs pointing to the relevant commits. |
| created_at | str |
The creation timestamp (e.g., "2015-12-27T19:33:55Z"). |
| language | str |
The programming language of the repository (e.g., "Python"). |
🚀 Usage
Loading the Dataset
from datasets import load_dataset
# Load the full dataset
dataset = load_dataset("ernie-research/MEnvBench")
# Access a single instance
instance = dataset['test'][0]
print(f"Repository: {instance['repo']}")
print(f"Language: {instance['language']}")
print(f"Problem: {instance['problem_statement'][:200]}...")
Example Instance
{
"repo": "home-assistant/core",
"pull_number": 807,
"instance_id": "home-assistant__core-807",
"issue_numbers": [103876],
"base_commit": "87c88078c87257cde4786997fedb865be6813545",
"version": "0.10",
"language""Python",
"problem_statement": "Scene configuration issue...",
"patch": "diff --git a/homeassistant/components/scene.py...",
"test_patch": "diff --git a/tests/components/test_scene.py...",
...
}
📖 Citation
If MEnvBench helps your research, please cite:
@misc{guo2026menvagent,
title={MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering},
author={Chuanzhe Guo and Jingjing Wu and Sijun He and Yang Chen and Zhaoqi Kuang and Shilong Fan and Bingjin Chen and Siqi Bao and Jing Liu and Hua Wu and Qingfu Zhu and Wanxiang Che and Haifeng Wang},
year={2026},
url={https://arxiv.org/abs/2601.22859},
}
📧 Contact
For questions or issues:
- GitHub: MEnvAgent Repository
- Email: czguo@ir.hit.edu.cn
🙏 Acknowledgements
We thank the open-source community and all repository maintainers whose high-quality projects made this benchmark possible.