---
title: Response Selection
type: templates
category: Conversational AI
cat: conversational-ai
order: 805
meta_title: Response Selection Data Labeling Template
meta_description: Template for selecting relevant responses for conversational AI use cases with Label Studio for your machine learning and data science projects.
---
If you want to refine the best response for a conversational AI use case, you can provide already-generated responses to annotators and have them choose the best one.
Use this template to provide a section of dialogue and three text responses to the dialogue. Annotators then select the choice that corresponds with the best-fitting text response.
## Interactive Template Preview
## Labeling Configuration
```html
```
## About the labeling configuration
All labeling configurations must be wrapped in [View](/tags/view.html) tags.
Use the [Paragraphs](/tags/paragraphs.html) object tag to display dialogue to annotators:
```xml
```
You can add a [header](/tags/header.html) to provide instructions to the annotator:
```xml
```
Use a new [View](/tags/view.html) tag to control the dsiplay of text and choices on the labeling interface:
```xml
```
Use the [Text](/tags/text.html) object tag to display 3 different text samples, specified with variables in the `value` parameter:
```xml
```
Style the [View](/tags/view.html) tag that wraps the choices to make sure there is space between the text samples and the corresponding choices:
```xml
```
Use the [Choices](/tags/choices.html) control tag to allow annotators to choose which text sample is the best response to the dialogue.
## Related Tags
- [Paragraphs](/tags/paragraphs.html)
- [Header](/tags/header.html)
- [View](/tags/view.html)
- [Text](/tags/text.html)
- [Choices](/tags/choices.html)