---
title: SWE-rebench-V2
canonical_url: "https://www.modelscope.cn/datasets/nebius/SWE-rebench-V2"
md_url: "https://www.modelscope.cn/datasets/nebius/SWE-rebench-V2.md"
repository: nebius/SWE-rebench-V2
last_updated: 2026-10-15
license: cc-by-4.0
storage_size: "409 MB"
downloads: 2916
stars: 1
---

# SWE-rebench-V2

> SWE-rebench-V2 - nebius 在 ModelScope 开源的数据集。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,…

nebius/SWE-rebench-V2 是 ModelScope 魔搭社区上的数据集，存储大小 409 MB，采用 cc-by-4.0 许可。

- **Repository**: nebius/SWE-rebench-V2
- **License**: cc-by-4.0
- **Storage size**: 409 MB
- **Downloads**: 2916
- **Stars**: 1
- **Last updated**: 2026-10-15

Source: https://www.modelscope.cn/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”](https://arxiv.org/abs/2602.23866).

❗ **Benchmark overlap:** We excluded repositories from the original SWE-bench, but did not explicitly filter other benchmarks. Before training, check the [overlap analysis and task IDs](https://github.com/raimondasl/agentleak#case-3-swe-rebench-v2-vs-multilingual-swe-benchmarks) and exclude tasks that overlap with your evaluation benchmarks.

## Quick Start

```python
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

```bibtex
@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}, 
}