For this type of project, you can use the Clickbait or not? preset.
This preset helps you classify any kind of text for training classifiers and NLP models.
Take a look at the example: the labeling interface includes a text block, and radio buttons for categories. Note that validation, keyboard shortcuts, and task layout are already configured in this Template Builder sample code.View example
You can add media files (audio files, videos, images) from your own server, a cloud storage like Yandex Cloud, Google Cloud, and Amazon AWS, or Yandex Disk.
If this template doesn't meet your needs, see other examples in the Text section.
To add a detailed description to the task, use the view.text component.
To let Tolokers leave comments about the task or their response, add a text field using field.textarea.
To enhance Toloker's experience, you can highlight different types of data with colors using view.alert. In this example, the description is highlighted with a blue border, and the buttons are highlighted with a yellow one.
Decide whether a Toloker can select only one or multiple answer options:
If there are several possible answers to the question, use field.checkbox-group checkboxes.
The helper.if component displays an interface element after a specific response is selected.
Add a button that opens the search results and generate a search query link using the helper.search-query component. To make sure that a Toloker clicked on the link and checked its contents, configure validation, as in the example.
You can display the web page in the built-in window using the view.iframe component. Place the text next to it using layout.side-by-side.
This is a more complex example that compares the text with the results of a search query. The following components are added: