ossdata
Scalable SWE datasets
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; Alibaba OSS credentials may be needed depending on dataset source.
- Low friction install with three straightforward dependencies.
- Active maintenance as of 2026-04-20, released within the last 116 days.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-04-20 (116 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 234,389 downloads/mo, #9,023 on PyPI
Alternatives
Verify before relying
pip install ossdata
from ossdata import load_dataset
dataset = load_dataset('dataset_name')- 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.
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 on this page. Verify before relying on it.
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
ossdata on PyPI
Before you install
Low friction install with three straightforward dependencies. Active maintenance as of 2026-04-20, released within the last 116 days.
Requires Python 3.8 or later; Alibaba OSS credentials may be needed depending on dataset source.
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')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 the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesdatasetstqdmalibabacloud-oss-v2 |
| Maintenance | Actively maintained 116 days since the last release |
| First released | |
| Downloads | 234,389 / month, #9,023 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: ossdata-0.3.7-py3-none-any.whl
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See also datasets · kernels-data · pyspark-huggingface · alibabacloud-gateway-oss · alibabacloud-oss-v2 · oss2 · apache-airflow-providers-alibaba · ossfs · argilla