The Labelbox app now displays charts for average handling time (AHT). To learn more about these new AHT charts, visit our docs. You will find new charts in the following places:
Annotate > Performance > TEQ > Efficiency
Monitor
All editors now display a timer, giving labelers and reviewers visibility into how long they’ve spent on each task. This is now enabled for all customers.
In the Audio editor, you can now select a range of frames on the audio timeline and modify all classification values that belong to that portion of the timeline. This multi-selection support encompasses all operations available in the audio editor.
The Multi-modal chat editor now supports a multiple conversation interface that allows labelers to work on multiple conversations at once. To enable this, click the “Conversation list” icon in the top navbar in the editor.
In the Multi-modal chat editor, project admins can use the new “Response count” field to set multiple model response generations for every turn simultaneously. This “Response count” is supported for both single and multiple models connected.
Project admins can now enable the “Thresholding” toggle for Multi-modal chat projects. When enabled, labelers can evaluate each response as passing or failing, and then the editor will display pass@k scores automatically after all evaluations are completed.
In the Multi-modal chat editor, you can now clip your recorded audio segments.
In the Multi-modal chat editor, admins can configure the editor to display specific classifications for each turn of a conversation. To enable this setting, go to the project setup page, create a new classification, set “Scope” to “Narrow”, and under “Narrow scopes” select “Turn”.
