TIGER-Lab/packages_python_filtered

<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>

packagespythonfiltered

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:

Example rows:

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:

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

@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},
}