Update dataset card for packages_python_filtered

README.md

@@ -1,35 +1,103 @@
 ---
 license: mit
-task_categories:
-- question-answering
+pretty_name: SWE-Next Seed Repository List
 language:
 - en
-tags:
-- llm
-pretty_name: python-packages
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: packages_python_filtered.csv
 ---
-# SWE-Next: Scalable Real-World Software Engineering Tasks for Agents
 
-<p align="left">
+<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/datasets/TIGER-Lab/SWE-Next"><img alt="Dataset" src="https://img.shields.io/badge/Dataset-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>
-</p>
+</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
+## Citation
 
 ```bibtex
 @misc{liang2026swenextscalablerealworldsoftware,
-      title={SWE-Next: Scalable Real-World Software Engineering Tasks for Agents}, 
+      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}, 
+      url={https://arxiv.org/abs/2603.20691},
 }
-```
+```