--- title: Document Retrieval type: templates category: Ranking and Scoring cat: ranking-and-scoring order: 430 meta_title: Document Retrieval Data Labeling Template meta_description: Template for annotating documents for document retrieval tasks with Label Studio for your machine learning and data science projects. --- If you want to start training document retrieval or recommender models, you might want to develop a dataset with that identifies similar documents. Use this template to identify and choose documents that are related to a specific query or an existing document. ## Interactive Template Preview
## Labeling Configuration ```html
``` ## About the labeling configuration All labeling configurations must be wrapped in [View](/tags/view.html) tags. Use the [Text](/tags/text.html) object tag to specify the text data to be annotated: ```xml ``` You can add a [header](/tags/header.html) to provide instructions to the annotator: ```xml
``` Add styling to the [View](/tags/view.html) tag to control the appearance of the text samples and choices ```xml ``` Wrap the text snippets in a new [View](/tags/view.html) tag and use the [Text](/tags/text.html) object tag to display 3 other text snippets: ```xml ``` Add styling to another [View](/tags/view.html) tag to place the choices next to the text samples, then use the [Choices](/tags/choices.html) control tag to require a selection from annotators and allow them to select multiple text snippets that apply: ```xml ``` ## Related tags - [Text](/tags/text.html) - [View](/tags/view.html) - [Choices](/tags/choices.html)