In a data labeling project, a batch is a simple collection of data that you want to be labeled or annotated. Batches are often used to divide the data into smaller, more manageable units, which can be labeled or annotated more efficiently.
The size of a batch can vary depending on the specific requirements and constraints of the project. A batch might include a few hundred data points, or it might include thousands or more. The size of the batch is often determined based on the complexity of the data and the time and resources available for labeling or annotating it.
Note that ‘batch’ can be confused with ‘dataset,’ which refers to a larger collection of data. While a batch is a smaller unit of data for labeling, a dataset may include multiple batches and additional information such as metadata or annotations.