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

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@@ -186,6 +186,8 @@ Finally, in the middle section, there is a table showing a queue of tasks yet to
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Additionally, when ML assisted labeling is enabled, scroll down to see the ML assisted labeling status. The Jobs sections give links for each of the machine learning runs.
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### Data
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On the **Data** tab, you can see your dataset and review labeled data. Scroll through the labeled data to see the labels. If you see incorrectly labeled data, select it and choose **Reject**, which will remove the labels and put the data back into the unlabeled queue.
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If your project uses consensus labeling, you'll also want to review those images without a consensus. To do so:

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