In order to get your data in the hands of your annotators, you will need to create a Batch
A batch is merely a collection of tasks that you want to get labelled. It can be a subset of all the data you have uploaded, or the entire library. It is up to your discretion what you put in a batch, how many batches you have, etc. Please note that your annotators will only see tasks in their queue if you have created a batch -- simply having your data uploaded onto the platform will not automatically start the labeling process.
It is up to you how many tasks you'd like to include in each batch, and how you'd like to segment your batches. For example, if you have a constant stream of data coming in, you could split out your batches by day. Or, if there are certain tasks that you think are harder that you want to separate out, you can create a batch of just "hard tasks".
There is no limit to the number of tasks you can include in each batch.
You can select data you want included in a batch in 3 ways:
- You can choose your own tasks from your uploaded assets
- You can have Scale select your tasks for you from your uploaded assets
- You can directly upload a set of data into a batch
Selecting Assets Yourself:
Select Assets via Scale:
- You can ask Scale to choose for you in 1 of 3 ways: Random selection, based on first uploaded, and based on last uploaded
- You can then specify the number of tasks you'd like to include in the batch
Uploading Data Directly Into a Batch: Instead of filtering through a pre-uploaded data set for the tasks you want, you can just upload them as a batch when you are ready.
Filtering out previously included tasks: You can select this nifty button to exclude any tasks you may have already sent out for production.
Querying your data: If you have metadata that you want to filter on to help you create your batches, you can leverage the query search tool build into the platform. For example, you're looking for all tasks uploaded from the same batch upload. Or you're looking for a specific file to get labelled. You can filter down your search by using the query functionality!
Updated about 1 year ago