--- 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} } ```