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link to manage labeling troubleshoot section
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articles/machine-learning/how-to-manage-labeling-projects.md

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## Troubleshoot issues
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Use these tips if you see any of the following issues:
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Use these tips if you see any of the following issues while managing your project:
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|Issue |Resolution |
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|---------|---------|
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|Only datasets created on blob datastores can be used.|This issue is a known limitation of the current release.|
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|Removing data from the dataset your project uses causes an error in the project.|Don't remove data from the version of the dataset you used in a labeling project. Create a new version of the dataset to use to remove data.|
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|After a project is created, the project status is *Initializing* for an extended time.|Manually refresh the page. Initialization should complete at roughly 20 data points per second. No automatic refresh is a known issue.|
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|Newly labeled items aren't visible in data review.|To load all labeled items, select the **First** button. The **First** button takes you back to the front of the list, and it loads all labeled data.|

articles/machine-learning/how-to-troubleshoot-data-labeling.md

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# Troubleshoot data labeling projects
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Only datasets created on blob datastores can be used. This issue is a known limitation of the current release.
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If you have errors creating a data labeling project try the following troubleshooting steps.
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## Add Storage Blob Data Contributor access to the workspace identity
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1. Select the datastore you're using to access data in your labeling project.
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1. On the top toolbar, select **Update authentication**.
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1. Toggle on the entry for "Use workspace managed identity for data preview and profiling in Azure Machine Learning studio."
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Related resources
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For information on how to troubleshoot project management issues, see [Troubleshoot project management issues](how-to-manage-labeling-projects.md#troubleshoot-issues).

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