nebius/SWE-rebench-V2
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-V2The detailed… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench-V2.
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 The detailed technical report is available at “SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale”.
Quick Start
from datasets import load_dataset
ds = load_dataset("nebius/SWE-rebench-V2", split="train")
print(len(ds)) # 32079Dataset Structure
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},
}