---
id: ossdata
version: "0.3.7"
license: MIT
license_treatment: permissive
maintenance: active
---

# ossdata — Scalable SWE datasets

License: permissive · Maintenance: active · Downloads: 234.4K/mo

## What it is and what it does

OSSData is a Python package that wraps the Hugging Face datasets library to provide access to software engineering datasets, with backend support for Alibaba OSS cloud storage. It sits between your code and cloud-hosted SWE data, handling the mechanics of fetching and caching datasets locally.

The package depends on datasets for core dataset handling, tqdm for progress reporting, and alibabacloud-oss-v2 for cloud storage integration. It targets Python 3.8 and later and is actively maintained. The minimal description suggests it's designed for researchers and engineers who need standardized, reproducible access to SWE-focused datasets without managing storage infrastructure directly.

Use it for:

- Fetch and cache software engineering datasets for machine learning model training.
- Access cloud-hosted SWE data without managing Alibaba OSS credentials directly.
- Build reproducible research pipelines that depend on versioned, standardized datasets.
- Integrate SWE datasets into data processing workflows using the Hugging Face ecosystem.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides scalable datasets for software engineering research and development, integrating with cloud storage via Alibaba OSS and the Hugging Face datasets library.

Yes, if you need scalable SWE datasets and are comfortable with the Hugging Face datasets ecosystem. Low install friction, permissive MIT license, active maintenance, and no known vulnerabilities make it a safe choice. The main uncertainty is whether the available datasets match your specific research or development needs—verify dataset availability before committing.

## Install

pip install ossdata
uv add ossdata
poetry add ossdata

## Installing ossdata

Before you install: Low friction install with three straightforward dependencies. Active maintenance as of 2026-04-20, released within the last 116 days.

License in practice: MIT license permits commercial and private use with minimal restrictions; suitable for most projects.

Quickstart:

pip install ossdata

from ossdata import load_dataset
dataset = load_dataset('dataset_name')

Requires Python 3.8 or later; Alibaba OSS credentials may be needed depending on dataset source.

Verify before relying:

- What specific SWE datasets are available and how they are organized.
- Whether Alibaba OSS credentials are required for all datasets or only some.
- Performance characteristics and scalability limits for large datasets.
- Documentation and examples beyond the package summary.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 234.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

software engineering datasets, scalable swe data, cloud-backed datasets, hugging face datasets integration, oss data loading, machine learning dataset tools, datasets, machine-learning, software-engineering

[View on SkillFed](https://skillfed.io/packages/ossdata) · [View on PyPI](https://pypi.org/project/ossdata/)