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articles/machine-learning/how-to-create-image-labeling-projects.md

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@@ -75,7 +75,7 @@ To create a dataset from data that you've already stored in Azure Blob storage:
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1. Select **+ Create** .
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1. Assign a **Name** to your dataset, and optionally a description.
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1. **Dataset type** is set to file, only file dataset types are supported for images.
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1. Select **Next**
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1. Select **Next**.
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1. Select **From Azure storage**, then **Next**.
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1. Select the datastore, then select **Next**.
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1. If your data is in a subfolder within your blob storage, choose **Browse** to select the path.

articles/machine-learning/how-to-create-text-labeling-projects.md

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@@ -77,7 +77,7 @@ To create a dataset from data that you've already stored in Azure Blob storage:
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1. Choose the **Dataset type**:
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* Select **Tabular** if you're using a .csv or .tsv file, where each row contains a response.
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* Select **File** if you're using separate .txt files for each response.
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1. Select **Next**
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1. Select **Next**.
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1. Select **From Azure storage**, then **Next**.
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1. Select the datastore, then select **Next**.
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1. If your data is in a subfolder within your blob storage, choose **Browse** to select the path.

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