> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/data-studio-projects/nlp-task-types/conversational.md).

# 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](/files/g9SgFFNDK0eXhfHSh95u)

### 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.

{% file src="/files/4zldBLeR7cs12eWutJfE" %}

{% file src="/files/f7tUDqVwwe4ViS6dHzrf" %}

{% hint style="info" %}
For more detailed information on conversational labeling projects, refer to [this page](/data-studio-projects/lets-get-labeling/conversational-labeling.md).
{% endhint %}

### 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.

![](/files/CwBXNbcDZKnzRARXI9tu)