---
license: mit
pretty_name: SWE-Next Seed Repository List
language:
- en
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: packages_python_filtered.csv
---

<div align="center">
  <h1>SWE-Next: Scalable Real-World Software Engineering Tasks for Agents</h1>
</div>

<div align="center">
  <a href="https://arxiv.org/abs/2603.20691"><img alt="Paper" src="https://img.shields.io/badge/Paper-arXiv-b31b1b?style=for-the-badge&logo=arxiv&logoColor=white"></a>
  <a href="https://tiger-ai-lab.github.io/SWE-Next/"><img alt="Project Page" src="https://img.shields.io/badge/Project%20Page-Website-4285F4?style=for-the-badge&logo=googlechrome&logoColor=white"></a>
  <a href="https://github.com/TIGER-AI-Lab/SWE-Next"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&logo=github&logoColor=white"></a>
  <a href="https://huggingface.co/datasets/TIGER-Lab/SWE-Next"><img alt="Dataset" src="https://img.shields.io/badge/Base%20Dataset-HuggingFace-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000"></a>
  <a href="https://huggingface.co/datasets/TIGER-Lab/SWE-Next-SFT-Trajectories"><img alt="SFT Trajs" src="https://img.shields.io/badge/SFT%20Trajs-HuggingFace-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000"></a>
  <a href="https://huggingface.co/TIGER-Lab/SWE-Next-7B"><img alt="Model 7B" src="https://img.shields.io/badge/Model%207B-HuggingFace-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000"></a>
  <a href="https://huggingface.co/TIGER-Lab/SWE-Next-14B"><img alt="Model 14B" src="https://img.shields.io/badge/Model%2014B-HuggingFace-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000"></a>
</div>

# packages_python_filtered

This repository contains `packages_python_filtered.csv`, the seed repository list used by SWE-Next. The file contains **3,971** Python package / repository entries that serve as the starting point for large-scale repository mining and execution-grounded task synthesis.

Each row links a package-oriented seed entry to a GitHub repository and includes lightweight metadata used by the collection pipeline, such as stars, language, whether the repository was downloaded, and merged-PR counts.

## Overview

SWE-Next begins from this seed list of **3,971** repositories, then mines merged pull requests, executes candidate base/merged commit pairs, and filters them into the final execution-grounded SWE dataset. This CSV is therefore the upstream repository inventory that defines the initial search space for the pipeline.

## Format

The CSV has the following columns:

| Column | Description |
|---|---|
| `pypi_name` | PyPI package or seed package name associated with the repository |
| `repo_name` | GitHub repository in `owner/repo` format |
| `local_path` | Original local clone path used during collection |
| `stars` | Repository stars at collection time |
| `downloaded` | Whether the repository was successfully downloaded |
| `primary_language` | Primary repository language |
| `pr_count` | Number of pull requests observed for the repository |

Example rows:

```csv
pypi_name,repo_name,local_path,stars,downloaded,primary_language,pr_count
vdtool,yt-dlp/yt-dlp,...,120643,True,Python,4349
django-squad,django/django,...,84411,True,Python,20318
```

## Files

- `packages_python_filtered.csv`: seed repository list for SWE-Next collection

## Usage

This artifact is mainly useful for:

- reproducing the initial repository search space of SWE-Next,
- analyzing repository-scale coverage before task synthesis,
- selecting subsets of repositories for custom collection runs.

Load it with pandas:

```python
import pandas as pd

df = pd.read_csv("hf://datasets/TIGER-Lab/packages_python_filtered/packages_python_filtered.csv")
print(df.head())
```

## Relationship to the SWE-Next Release

This repo contains the seed repository list used by SWE-Next. Related artifacts are available separately:

- **Repository summary with NEW_COMMIT_BETTER counts**: `TIGER-Lab/new_commit_better_repos`
- **Final task dataset**: `TIGER-Lab/SWE-Next`
- **SFT trajectories**: `TIGER-Lab/SWE-Next-SFT-Trajectories`
- **Project code**: `github.com/TIGER-AI-Lab/SWE-Next`

## Citation

```bibtex
@misc{liang2026swenextscalablerealworldsoftware,
      title={SWE-Next: Scalable Real-World Software Engineering Tasks for Agents},
      author={Jiarong Liang and Zhiheng Lyu and Zijie Liu and Xiangchao Chen and Ping Nie and Kai Zou and Wenhu Chen},
      year={2026},
      eprint={2603.20691},
      archivePrefix={arXiv},
      primaryClass={cs.SE},
      url={https://arxiv.org/abs/2603.20691},
}
```