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Update articles/ai-services/document-intelligence/train/custom-labels.md
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articles/ai-services/document-intelligence/train/custom-labels.md

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[!INCLUDE [applies to v4.0 v3.1 v3.0](../includes/applies-to-v40-v31-v30.md)]
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Custom models (template and neural) require a labeled dataset of at least five documents to train a model. The quality of the labeled dataset affects the accuracy of the trained model. This guide helps you learn more about generating a model with high accuracy by assembling a diverse dataset and provides best practices for labeling your documents.
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