Rapidata selections

RapidataSelections

RapidataSelections Classes

Selections are used to define what type of tasks and in what order they are shown to the user. All selections combined are called a "Session". A session can contain multiple tasks of different types of tasks. As an example, a session might be 1 validation task, 2 labeling tasks.

Attributes:

Name	Type	Description
labeling	LabelingSelection	Decides how many actual datapoints you want to show per session.
validation	ValidationSelection	Decides how many validation rapids you want to show per session.
conditional_validation	ConditionalValidationSelection	Probabilistically decides how many validation rapids you want to show per session based on the user score.
demographic	DemographicSelection	Decides if and how many demographic questions you want to show per session.
capped	CappedSelection	Takes in different selections and caps the amount of rapids that can be shown.
shuffling	ShufflingSelection	Shuffles the selections provided in the list.

Example

from rapidata import LabelingSelection, ValidationSelection
selections=[ValidationSelection("your-validation-set-id", 1), 
            LabelingSelection(2)]

This will require annotators to complete one validation task followed by two labeling tasks.