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title: How to format data for Named Entity Recognition (NER) | ||
description: Learn how to format data for Named Entity Recognition (NER) scenario in Model Builder | ||
ms.date: 02/23/2024 | ||
author: zewditu | ||
ms.author: zehailem | ||
ms.custom: mvc,how-to | ||
ms.topic: how-to | ||
#Customer intent: As a non-developer, I want to be able to format training data for Model Builder to use for training NER scenarios | ||
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# How to format data for Named Entity Recognition (NER) | ||
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NER dataset shapes: | ||
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- **Key information file:** Containing a list of entities, which serves as key information for the training data. | ||
- **Training data:** Training data consists of a file (.txt, .tsv) containing columns separated by TAB. One of these columns is a sentence column, while the others represent labels for tokens within that sentence column. |
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