ai-agent

Awesome Public Datasets

Name: Awesome Public Datasets
Author: awesomedata

A topic-centric list of HQ open datasets.

78,090 stars11,754 forksUpdated 8/4/2026100% free · open source

What it does

awesome-public-datasets provides a curated list of high-quality open datasets organized by topic, making it easy to find relevant data for your project

Install / run

No installation is required, as awesome-public-datasets is a GitHub repository that can be accessed directly

When to use it

•You need to find open datasets for machine learning model training or testing
•You are looking for publicly available data to validate business ideas or hypotheses
•You want to explore datasets related to a specific topic or industry

Quick start

1Visit the GitHub repository at https://github.com/awesomedata/awesome-public-datasets
2Browse the README.md file to understand the categorization and organization of the datasets
3Click on a topic of interest, such as 'Computer Vision' or 'Natural Language Processing', to explore relevant datasets
4Open a dataset's link to view its details, including description, size, and download instructions
5Use the dataset's download instructions or API to access the data for your project

Ready-to-paste prompt

Open the 'Climate' section of the README.md file and click on the 'NASA Earthdata' link to explore climate-related datasets

Heads up: Some datasets may require registration or have specific usage restrictions, so be sure to review the terms and conditions before accessing or using the data

Saves to your device

Topics

aaron-swartz

awesome-public-datasets

datasets

opendata

How Awesome Public Datasets works

Codeflow

Free to inspect

Awesome Public Datasets is a documents-only repository (1 doc file) — something you read, not something you run. There is nothing to install. Last commit this month, MIT license.

Size

Documents only

1 document · 48 min skim

Setup

Nothing to install

A guide / curated list. Just read it and follow the links.

Runs on

Nowhere — you read it

A reading resource, not a program.

Where to start reading