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---
configs:
- config_name: ghs_parameters
data_files:
- split: kotlin
path: ghs/parameters/kotlin.json
- split: java
path: ghs/parameters/java.json
- split: python
path: ghs/parameters/python.json
- config_name: repo_metadata
data_files:
- split: jvm
path: ghs/data/jvm.jsonl
- split: python
path: ghs/data/python.jsonl
- config_name: repo_metadata_permissive
data_files:
- split: jvm
path: ghs/data/jvm_permissive.jsonl
- split: python
path: ghs/data/python_permissive.jsonl
- config_name: readmes
data_files:
- split: jvm
path: readmes/jvm.jsonl
- split: python
path: readmes/python.jsonl
- config_name: workflows
data_files:
- split: jvm
path: workflows/jvm.jsonl
- split: python
path: workflows/python.jsonl
- config_name: repo_contents
data_files:
- split: python
path: repo_contents/python.jsonl
- split: jvm
path: repo_contents/jvm.jsonl
- config_name: splits
data_files:
- split: python_single_dm_in_root_folder
path: splits/python_single_dm_in_root_folder.jsonl
- split: python_single_dm_in_root_folder_no_docker
path: splits/python_single_dm_in_root_folder_no_docker.jsonl
- split: python_baseline_failure
path: splits/python_baseline_failure.jsonl
- split: jvm_single_dm_in_root_folder
path: splits/jvm_single_dm_in_root_folder.jsonl
- split: jvm_single_dm_in_root_folder_no_docker
path: splits/jvm_single_dm_in_root_folder_no_docker.jsonl
- split: jvm_baseline_failure
path: splits/jvm_baseline_failure.jsonl
---
# 🌱⚙️ EnvBench
This repository contains data associated with EnvBench benchmark from [**EnvBench: A Benchmark for Automated Environment Setup**](https://arxiv.org/abs/2503.14443).
It contains:
* statistics about repositories from GitHub Search under `ghs/data` folder;
* several data splits under `splits` folder;
* Git repositories under `repos` folder;
* READMEs under `readmes` folder (available as `readmes` config);
* GitHub Actions workflows under `workflows` folder (available as `workflows` config);
* list of files in the repositories (available as `repo_contents` config).
## Data splits
We provide the repositories at each step of our filtering process.
### JVM
1. We obtain the list of repositories from GitHub Search: `ghs/data/jvm_permissive.jsonl`
2. We clone the repositories to `repos/full/jvm`
3. We filter repositories from previous step to keep only those with configuration files related to a single build tool in root directory: `splits/jvm_single_dm_in_root_folder.jsonl` (`splits/jvm_single_dm_in_root_folder.jsonl` additionally contains 'dm' field with build tool for each repository)
4. We filter the repositories from previous step to keep only those without Docker-related configuration files: `splits/jvm_single_dm_in_root_folder_no_docker.jsonl`
5. We filter the repositories from previous step to keep only those that our deterministic script couldn't configure correctly: `splits/jvm_baseline_failure.jsonl`
The list of 665 repositories from our benchmark is available in `splits/jvm_baseline_failure.jsonl`. For convenience, the final set of Git repositories is also stored separately under `repos/final/jvm`.
### Python
1. We obtain the list of repositories from GitHub Search: `ghs/data/python_permissive.jsonl`
2. We clone the repositories to `repos/full/python`
3. We filter repositories from previous step to keep only those with configuration files related to a single build tool in root directory: `splits/python_single_dm_in_root_folder.jsonl` (`splits/python_single_dm_in_root_folder.jsonl` additionally contains 'dm' field with dependency manager for each repository)
4. We filter the repositories from previous step to keep only those without Docker-related configuration files: `splits/python_single_dm_in_root_folder_no_docker.jsonl`
5. We filter the repositories from previous step to keep only those that our deterministic script couldn't configure correctly: `splits/python_baseline_failure.jsonl`
The list of 329 repositories from our benchmark is available in `splits/python_baseline_failure.jsonl`. For convenience, the final set of Git repositories is also stored separately under `repos/final/python`.
## 📚 Citation
If you find this work useful for your research, please consider the following citation:
```
@inproceedings{eliseeva2025envbench,
title={EnvBench: A Benchmark for Automated Environment Setup},
author={Aleksandra Eliseeva and Alexander Kovrigin and Ilia Kholkin and Egor Bogomolov and Yaroslav Zharov},
booktitle={ICLR 2025 Third Workshop on Deep Learning for Code},
year={2025},
url={https://openreview.net/forum?id=izy1oaAOeX}
}
```