Open Datasets | Microsoft Azure

Overview

Easily access curated datasets and accelerate machine learning

Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Explore datasets

Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time.

Features

Collaborate and scale with open data

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Pricing

Open Datasets pricing

There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning.

Microsoft pays for the storage costs associated with hosting Azure Open Datasets. While storage will always remain free, egress costs associated with reading large datasets can be charged to the Azure subscription accessing the data. Most datasets will be free to access. Egress charges, if applicable, will be mentioned on the Open Datasets overview page.

Resources

Open Datasets resources

Data storage and access

Learn how datasets are stored in Azure and accessed using an SDK.

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Dataset samples

Use an open dataset to train a machine learning model.

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AI for Earth

Learn about AI for Earth, our partner bringing key geospatial datasets to Azure to accelerate applications in climate science and conservation.

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Data Use Agreements

Microsoft provides a series of open licenses that you can apply to your datasets.

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Egress costs mean the cost of reading data from Azure Blob storage, which typically includes read operations and network bandwidth for data leaving the Azure region.
Your Azure subscription will be charged for compute such as virtual machine instances and any other services such as Azure Machine Learning used to work with Azure Open Datasets.
Datasets are stored on Azure Blob Storage. The storage location is specific to each dataset and is mentioned on the dataset overview page. Allocating compute resources in the same region is recommended for low latency access to the data.
Microsoft has no control over the quality or availability of the original source of data. Hence there is no SLA or availability guarantee for the datasets.