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Audio/Speech Processing
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Conversational AI
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Ranking and Scoring
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Time Series Analysis
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- Template Gallery - Time Series Analysis
- Template Gallery - Videos
- Template Gallery - Dynamic Labels
Dialogue Analysis

If you want to evaluate and analyze the responses present in a dialogue that already happened, and optionally correct it, use this template.
Use this template to provide a section of dialogue and classify it. Annotators then provide the best response to the section of dialogue.
Interactive Template Preview
Labeling Configuration
<View>
<HyperText name="dialog" value="$dialogs"></HyperText>
<Header value="Rate last answer:"></Header>
<Choices name="chc-1" choice="single-radio" toName="dialog" showInline="true">
<Choice value="Bad answer"></Choice>
<Choice value="Neutral answer"></Choice>
<Choice value="Good answer"></Choice>
</Choices>
<Header value="Your answer:"></Header>
<TextArea name="answer"></TextArea>
</View>
About the labeling configuration
All labeling configurations must be wrapped in View tags.
Use the HyperText object tag to display dialogue data, imported in Label Studio JSON format using a key of “dialogs”:
<HyperText name="dialog" value="$dialogs"></HyperText>
You can add a header to provide instructions to the annotator:
<Header value="Rate last answer:"></Header>
Use the Choices control tag in combination with the Choice tag to have annotators classify the dialogue response. Use the arguments to control how the choices appear on the interface:
<Choices name="chc-1" choice="single-radio" toName="dialog" showInline="true">
<Choice value="Bad answer"></Choice>
<Choice value="Neutral answer"></Choice>
<Choice value="Good answer"></Choice>
</Choices>
You can change the choice value
s to provide different classification options.
Use the TextArea control tag to provide annotators with a free text box to supply their own response to the dialogue. Add the editable=true
argument to allow them
to edit their answer, or required=true
to force annotators to supply an alternate response:
<TextArea name="answer"></TextArea>
Related tags

If you found an error, you can file an issue on GitHub!