Data Studio Introduction

Data Studio is Datasaur’s data-labeling platform, one part of the data pipeline behind Datasaur’s private AI deployments.

Welcome to Data Studio! This guide introduces the essential tools and features available to help you manage and analyze your datasets effectively. Whether you're just getting started or looking to deepen your usage, this documentation will walk you through the process.

All activities in Data Studio are organized within a workspace. This workspace is your command center for uploading data, labeling, transforming, reviewing, and exporting. It’s also where collaboration happens, you can invite your team, assign roles, and manage everything in one place.

What you can do in Data Studio

Data Ingestion

Easily upload data from multiple sources, including text, CSV, and JSON files using the Project Creation Wizard. You can also add additional documents later or connect to external storage or other integrations.

Transformation & Labeling

Choose from multiple labeling task type including Span, Row, Document and more. You can label manually, import pre-labeled data or use one of the Assisted Labeling option including ML Assisted Labeling to speed up the process with AI suggestions.

Collaboration

Easily work with others by sharing workspaces and assigning roles. Control access and manage projects in one place.

Automation & Insights

Enable automation to streamline repetitive tasks. Built-in analytics help detect trends and improve labeling efficiency.

Still have question?

If you ever get stuck or want to explore a feature further, we’re here for you. Just send us a message at [e-mail].