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

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services: machine-learning
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ms.service: azure-machine-learning
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ms.subservice: mldata
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ms.date: 03/07/2024
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ms.date: 03/10/2025
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ms.topic: troubleshooting
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#customer intent: To troubleshoot and resolve issues that occur when creating your data labeling project.
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## When data preprocessing fails
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Another possible issue with creating a data labeling project is when data preprocessing fails. You'll see an error that looks like this:
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Another possible issue with creating a data labeling project is when data preprocessing fails. You see an error that looks like this:
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:::image type="content" source="media/how-to-troubleshoot-data-labeling/data-error.png" alt-text="Screenshot shows a data preprocessing error.":::
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Once you have the compute cluster name with a managed identity, assign the Storage Blob Data Contributor role to the compute cluster.
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Follow the previous steps to [Add Storage Blob Data Contributor access](#add-blob-access). But this time, you'll be selecting the compute resource in the **Select members** section, so that the compute cluster has access to the datastore.
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Follow the previous steps to [Add Storage Blob Data Contributor access](#add-blob-access). But this time, you are selecting the compute resource in the **Select members** section, so that the compute cluster has access to the datastore.
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* If you're using a system-assigned identity, search for the compute name by using the workspace name, followed by `/computes/` followed by the compute name. For example, if the workspace name is `myworkspace` and the compute name is `mycompute`, search for `myworkspace/computes/mycompute` to select the member.
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* If you're using a user-assigned identity, search for the user-assigned identity name.

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