SWE-rebench-V2

Dataset Summary

SWE-rebench-V2 is a curated dataset of software-engineering tasks derived from real GitHub issues and pull requests. The dataset contains 32,079 samples covering Python, Go, TypeScript, JavaScript, Rust, Java, PHP, Kotlin, Julia, Elixir, Scala, Swift, Dart, C, C++, C#, R, Clojure, OCaml, and Lua. For log parser functions, base Dockerfiles, and the prompts used, please see https://github.com/SWE-rebench/SWE-rebench-V2

Quick Start

from datasets import load_dataset

ds = load_dataset("nebius/SWE-rebench-V2", split="train")
print(len(ds))  # 32079

Dataset Structure

Field	Type	Description
instance_id	string	Unique identifier for the instance
repo	string	GitHub repository in owner/repo format
base_commit	string	Git commit SHA of the base before the fix
patch	string	The gold patch that resolves the issue
test_patch	string	Diff adding or modifying tests that verify the fix
problem_statement	string	Issue description the patch addresses
pr_description	string	Full pull request description
created_at	int64	Unix timestamp (milliseconds) of the issue/PR creation
image_name	string	Docker image name used for the evaluation environment
language	string	Primary programming language of the repository
interface	string	Description of the code interface changed by the patch
license	string	SPDX license identifier of the repository
FAIL_TO_PASS	list[string]	Test IDs that fail before the patch and pass after
PASS_TO_PASS	list[string]	Test IDs that pass both before and after the patch
install_config	struct	Configuration needed to reproduce the test environment
meta	struct	Metadata and LLM-generated quality annotations

License

The dataset is licensed under the Creative Commons Attribution 4.0 license. However, please respect the license of each specific repository on which a particular instance is based. To facilitate this, the license of each repository at the time of the commit is provided for every instance.

Citation

@misc{badertdinov2026swerebenchv2languageagnosticswe,
      title={SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale}, 
      author={Ibragim Badertdinov and Maksim Nekrashevich and Anton Shevtsov and Alexander Golubev},
      year={2026},
      eprint={2602.23866},
      archivePrefix={arXiv},
      primaryClass={cs.SE},
      url={https://arxiv.org/abs/2602.23866}, 
}