Throughout the super.AI data lifecycle, data points move through a variety of states. Depending on a data point’s current state, you can interact with it in different ways. The table below provides a brief description of, and shows which actions are possible during, each state.
By default, data points are queued for processing when you create them. However, you have the option to park your data points at the time of creation. When a data point is parked, you have to manually queue it. This can be useful if you wish to submit a large number of data points but regulate how many are processed at a time (e.g., if you're evaluating output accuracy before a large number are processed).
|State||Description||Can queue||Can relabel||Can cancel||Can delete|
|Parked||The data point has been created but is waiting for you to queue it for processing||✓||✓||✓|
|Queued||The data point will be processed as soon as there is capacity to do so||✓||✓|
|In progress||The data point is currently being processed||✓||✓|
|Ready to label||The data point is ready for you or anyone on your team to label||✓||✓|
|Complete||The data point has been processed and the output is available||✓||✓|
|Paused||Processing has been temporarily suspended (usually because user action is required)||✓||✓|
|Failed||Something went wrong and the data point was not successfully processed||✓||✓|
|Expired||The data point could not be successfully processed within the time limit set by the project type||✓||✓|
|Canceled||You or a team member canceled the data point before it could be processed||✓||✓|
|Deleted||You or a team member deleted the data point|
|Correct||You or a team member has reviewed the data and considers the output to be correct||✓||✓|
|Incorrect||You or a team member has reviewed the data and considers the output to be incorrect||✓||✓|
Updated 7 days ago