awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 141 contributors on GitHub.
Peaked at #51 in the weekly ranking the week of Aug 31, its best in the past year.
Use Cases & Benefits
- Provides a curated, topic-centric list of high-quality public datasets across various domains.
- Offers a centralized, well-organized resource for discovering reliable open datasets, saving time on data sourcing.
- Use for finding domain-specific datasets for academic research or data science projects.
- Use for sourcing datasets to train and benchmark machine learning models in diverse fields.
- Use for exploring public data to support open data initiatives and data journalism.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg :alt: Awesome :target: https://github.com/sindresorhus/awesome
This is a list of
topic-centric public data sources <https://github.com/awesomedata/awesome-public-datasets>_ in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not. This project was incubated atOMNILab <https://github.com/OMNILab>, Shanghai Jiao Tong University during Xiaming Chen's Ph.D. studies. OMNILab is now part of theBaiYuLan Open AI community <https://github.com/Bai-Yu-Lan>. Other amazingly awesome lists can be found insindresorhus's awesome <https://github.com/sindresorhus/awesome>_ list.NOTICE: This repo is automatically generated by
apd-core <https://github.com/awesomedata/apd-core/tree/master/core>. Please DO NOT modify this file directly. We have provided a new way tocontribute to this repo <https://github.com/awesomedata/apd-core/blob/master/CONTRIBUTING.md>.Join <https://join.slack.com/t/awesomedataworld/shared_invite/zt-dllew5xy-PJYi~mWUdY3hupohbmVZsA>_ theslack community <https://awesomedataworld.slack.com>_ for an instant touch of HQ data updates... |OK_ICON| image:: https://raw.githubusercontent.com/awesomedata/apd-core/master/deploy/ok-24.png .. |FIXME_ICON| image:: https://raw.githubusercontent.com/awesomedata/apd-core/master/deploy/fixme-24.png
.. contents:: Table of Contents
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