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Update how-to-create-azure-machine-learning-dataset-from-open-dataset.md
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articles/open-datasets/how-to-create-azure-machine-learning-dataset-from-open-dataset.md

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# Create Azure Machine Learning datasets from Azure Open Datasets
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> [!CAUTION]
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> This article references CentOS, a Linux distribution that has reached End Of Life (EOL) status. Please plan accordingly. For more information, visit [CentOS End Of Life guidance](/azure/virtual-machines/workloads/centos/centos-end-of-life).
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In this article, you learn how to bring curated enrichment data into your local or remote machine learning experiments, with [Azure Machine Learning](../machine-learning/overview-what-is-azure-machine-learning.md) datasets and [Azure Open Datasets](./index.yml).
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With an [Azure Machine Learning dataset](../machine-learning/v1/how-to-create-register-datasets.md), you create a reference to the data source location, along with a copy of its metadata. Because datasets are lazily evaluated, and because the data remains in its existing location, you
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> Some dataset classes have dependencies on the **azureml-dataprep** package. This package is only compatible with 64-bit Python. For Linux users, these classes are supported only on these Linux distributions:
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- Debian (8, 9)
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- CentOS (7)
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- Fedora (27, 28)
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- Red Hat Enterprise Linux (7, 8)
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- Ubuntu (14.04, 16.04, 18.04)

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