---
title: Response Generation
type: templates
category: Conversational AI
cat: conversational-ai
order: 801
meta_title: Response Generation Data Labeling Template

meta_description: Template for generating responses in natural language understanding use cases with Label Studio for your machine learning and data science projects.

If you want to train a machine learning model to generate a response for a chatbot or other conversational AI use case, use this template to provide a section of dialogue and type a response to create a training dataset.

Interactive Template Preview

Labeling Configuration

<View>  
  <Paragraphs name="chat" value="$dialogue" layout="dialogue" />
  <Header value="Provide response" />
  <TextArea name="response" toName="chat" rows="4" editable="true" maxSubmissions="1" />
</View>

About the labeling configuration

All labeling configurations must be wrapped in View tags.

Use the Paragraphs object tag to display dialogue to annotators:
xml <Paragraphs name="chat" value="$dialogue" layout="dialogue" />

You can add a header to provide instructions to the annotator:
xml <Header value="Provide response" />

Use the TextArea control tag to provide a spot for annotators to provide a response to the sample of chat dialogue:
xml <TextArea name="response" toName="chat" rows="4" editable="true" maxSubmissions="1" />
The editable="true" parameter allows annotators to edit their response, but maxSubmissions="1" ensures that annotators provide only one response.

Related tags

• Paragraphs
• Header
• TextArea