Which AWS service can assist with labeling a dataset?

Amazon SageMaker Ground Truth is designed specifically for the purpose of labeling datasets, making it the correct choice. This service provides a way to create and manage labeled datasets for machine learning purposes. It facilitates the labeling process through a robust user interface that allows for both automated and manual labeling workflows. SageMaker Ground Truth can also utilize machine learning to automate parts of the labeling process, thereby reducing time and improving efficiency.

The other services listed, while powerful in their respective areas, do not focus on the creation or management of labeled datasets. Amazon Rekognition is primarily used for image and video analysis, capable of identifying objects, scenes, and faces in images. Amazon Comprehend is designed for natural language processing, understanding text, and extracting insights from it, but does not handle data labeling. Amazon Transcribe focuses on converting speech into text, helping with audio data rather than the labeling of datasets. Therefore, Amazon SageMaker Ground Truth stands out as the dedicated tool for dataset labeling tasks within the AWS ecosystem.