Conversational

Conversational labeling allows you to label spans in a text document using a chat-style interface.

The interface displays each line as a message with bubbles and avatars, making it easier to work with conversational data. You can label individual spans within messages or label entire messages, which is useful for conversation-level classification.

Conversational labeling projects use the same label sets as span labeling projects, so existing label configurations are compatible.

Conversational Overview

Create a conversational labeling project

1. In step 1 of project creation, upload a file in a supported format for conversational labeling. You can use the sample .json file below to setup the project.

2. In step 3 of project creation, set up your label set by creating it from scratch or by uploading a .csv label set file.

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Datasaur sample - Conversational (1).json

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Datasaur sample - Conversational label set (1).csv

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For more detailed information on conversational labeling projects, refer to this page.

Additional settings

Conversational labeling projects support the same additional settings available in span labeling projects.

• Limit selection to a span of 1 token is useful when you want to ensureenforce that every token in the document is be labeled.

• Spans should have at most one label prevents you from adding multiple labels to a single span.

• Allow arrows to be drawn between labels lets you draw arrows from one label to another to annotate relationships between words.

• Default text selection allows you to choose between token-level and character-level selection.